From 4e61be2c4ef60e6623506d5fe2d29c3c2a4da066 Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Fri, 8 Mar 2024 20:06:12 -0300 Subject: [PATCH 1/6] WIP: Plotting full triple barrier Signed-off-by: marcello chiuminatto --- docs/ADR.md | 17 + docs/TODO.md | 8 + docs/test-triple-barrier-plotting.ipynb | 366 +++++++++--------- pyproject.toml | 2 +- .../unit/test_plots_happy_path.py | 12 + triple_barrier/constants.py | 8 + triple_barrier/plots.py | 81 ++-- triple_barrier/triple_barrier.py | 20 +- 8 files changed, 298 insertions(+), 216 deletions(-) create mode 100644 docs/ADR.md create mode 100644 docs/TODO.md diff --git a/docs/ADR.md b/docs/ADR.md new file mode 100644 index 0000000..7875ef8 --- /dev/null +++ b/docs/ADR.md @@ -0,0 +1,17 @@ +# Architecture Decision Record + +## March 7th 2024 + +### Topic: plot barrier with triple barrier with the closing hit event + +Regarding some question opened during the analysis of adding the plotting of the closing event to triple barrier, here are the decisions taken: + +1. Will triple barriers implement trailing stops? + +Not for now, but will be added to TODO list + +2. WIll dynamic barriers be plotted vertically or horizontally. + +Considering that the only vertical barrier and in consequence the trade expiration time, and to be consequent with stop loss and take profit that are price levels and dynamic barrier either, dynamic barrier will be plotted horizontally + +3. In the case there are more than one occurrence of a dynamic close event, before the time barrier, only the first one will be considered and plotted. diff --git a/docs/TODO.md b/docs/TODO.md new file mode 100644 index 0000000..1e7fb09 --- /dev/null +++ b/docs/TODO.md @@ -0,0 +1,8 @@ +# TODO + + +Updated: March 7th 2034 + + +1. Add tgraling stops +2. Refactor StoLoss, Take Profit and Dynamic Barrier to reduce code by building a base class diff --git a/docs/test-triple-barrier-plotting.ipynb b/docs/test-triple-barrier-plotting.ipynb index 002b997..e4342c4 100644 --- a/docs/test-triple-barrier-plotting.ipynb +++ b/docs/test-triple-barrier-plotting.ipynb @@ -16,6 +16,14 @@ "import mplfinance as mpl" ] }, + { + "cell_type": "markdown", + "id": "d23c42f3-84d8-406c-9bea-f1713b8fa222", + "metadata": {}, + "source": [ + "## Open Dataset" + ] + }, { "cell_type": "code", "execution_count": 2, @@ -25,21 +33,43 @@ "source": [ "columns = [\"date-time\", \"open\", \"high\", \"low\", \"close\", \"volume\"]\n", "df = pd.read_csv(\"../tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv\", \n", - " names=columns, parse_dates=True, \n", + " names=columns, \n", + " parse_dates=True, \n", " index_col=\"date-time\",\n", " header=0)" ] }, + { + "cell_type": "markdown", + "id": "13ef5707-4519-43f1-bd38-abcf983d007a", + "metadata": {}, + "source": [ + "## Calculate Features" + ] + }, { "cell_type": "code", "execution_count": 3, + "id": "ca503d80-7926-4b5a-a147-cd72033912e9", + "metadata": {}, + "outputs": [], + "source": [ + "df[\"mva-7\"] = df[\"close\"].rolling(7).mean()\n", + "df[\"mva-24\"] = df[\"close\"].rolling(24).mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 4, "id": "7c7b93d9-9b90-4232-a707-3b8167977d37", "metadata": {}, "outputs": [], "source": [ "FROM = 500\n", - "PERIODS = 100\n", - "TO = FROM + PERIODS" + "PERIODS = 50\n", + "TO = FROM + PERIODS\n", + "PIP_POSITION = 4\n", + "PIP_FACTOR = 10**-PIP_POSITION" ] }, { @@ -52,13 +82,13 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "5c7e697b-4d60-41f1-8964-4408ffe218cf", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -71,20 +101,6 @@ "mpl.plot(df[FROM:TO], type=\"candle\", figsize=(15,4), mav=(12,24), style=\"ibd\")" ] }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2a780002-7246-45df-b04a-67b45842df1c", - "metadata": {}, - "outputs": [], - "source": [ - "plot_tb = PlotTripleBarrier(df.open, \n", - " df.high,\n", - " df.low,\n", - " df.close,\n", - " 4)" - ] - }, { "cell_type": "markdown", "id": "0b39c896-4a9c-4f44-af89-664947223cee", @@ -95,13 +111,17 @@ }, { "cell_type": "code", - "execution_count": 38, + "execution_count": 6, "id": "9d335f00-f490-4297-a13f-99af35b7e0c7", "metadata": {}, "outputs": [], "source": [ - "pip_position = 4\n", - "pip_factor = 10**-pip_position\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4)\n", + "\n", "open_period = \"2023-01-03 20:30:00\"\n", "time_barrier = \"2023-01-03 22:45:00\"\n", "open_price = df.open[open_period]\n", @@ -110,13 +130,13 @@ "stop_loss_width = 5\n", "take_profit_width = 20\n", "\n", - "stop_loss = round(open_price - trade_side.value * stop_loss_width*pip_factor, pip_position + 1)\n", - "take_profit = round(open_price + trade_side.value * take_profit_width*pip_factor, pip_position)" + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" ] }, { "cell_type": "code", - "execution_count": 39, + "execution_count": 7, "id": "4b5e9c43-4230-468f-967b-0239d673c360", "metadata": {}, "outputs": [ @@ -129,7 +149,7 @@ }, { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -144,7 +164,7 @@ "Open time 2023-01-03 20:30:00\n", "Open price 1.05449\n", "Stop loss 1.05499 (5) pips\n", - "Take profit 1.0525 (20) pips\n" + "Take profit 1.05249 (20) pips\n" ] } ], @@ -171,13 +191,18 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 8, "id": "eb20ed40-e3d5-4209-8b28-0254704f08b4", "metadata": {}, "outputs": [], "source": [ - "pip_position = 4\n", - "pip_factor = 10**-pip_position\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4)\n", + "\n", + "\n", "open_period = \"2023-01-02 22:30:00\"\n", "time_barrier = \"2023-01-03 01:00:00\"\n", "open_price = df.open[open_period]\n", @@ -186,13 +211,13 @@ "stop_loss_width = 10\n", "take_profit_width = 15\n", "\n", - "stop_loss = round(open_price - trade_side.value * stop_loss_width*pip_factor, pip_position + 1)\n", - "take_profit = round(open_price + trade_side.value * take_profit_width*pip_factor, pip_position)" + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" ] }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 9, "id": "6913a53d-4bd8-46c9-95d5-7d6035a7cf64", "metadata": {}, "outputs": [ @@ -205,7 +230,7 @@ }, { "data": { - "image/png": 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54WzTXjGFG1dH7CtSIhmTr/K43Bv2yfndc2RzdGvVNkdr6sPqldawXdP8fXZjlZ5YVRV0u2C3P/74xhTlzrA3WZ6UqJBuf5Qanp+U2Pq8DPfc23omSj2D7yu+d7LiXd2Drmvu9UMR6vsz2rneEdcIdH2d9e8P0Nl1hut8Z+I/D5WVlQHLExMTlZgY2liTZWVlyszMbHycmZmpN998U0eOHFF8fLzmzZunnTt3atiwYVq6dKns9i/bMn/4wx80YsSIgKJRYWGhhg0bpv79++uRRx5RVlZWGEcYnpCKQ263m4RSQzJVVTU0aE+d/hKIReR8dJR+Vq8nVtXqyhFe6czWFYc8p/TEaC2PxyO3O7TXCGUbn6cmrJhsbm8Izw89ruZ4PUcb9xXv7hy350Ty+HwHanR45UfSyJ6ymckhvX6omov36m+ZunJEYE+Z8i/qNfuXx/Wb+7sp44zAbewpPrnd7ib7SbBJrz6d3OR2t5b2lZxkKMFWpSC7a+YYInjuT7wXQsnv9n7/dIZrfDj5FYnfB7qWzvj+AbqCznCd70z8RaF+/foFLF+wYIHy8vIi8hper1f79u3TuHHjVFBQoPnz5ys/P18PPvhg43PWr1+vG264ofHxRRddpP379yslJUUvvfSSpk2bprfffjsi8bRGSMUhp9Mph8PRXrF0Gf4CmdPp5M0FSyDn21+wsVyqanySalVV012V1U0Hiw52q05ltVdSbcivb7fb5XS27k+C/zVC2aauKl6Hw4gpwdm62WjCjas5xz02HTkRQzdnSpv2FSmRPD7/7yOUcxzp3HI6gz3XK+kLZZ3tDOmWxUjuK5hInnufkSzNOk9OV1qre2219/unLdf4YNeu5rQ0BlU4+RWJ3we6lnCuXR3x9wfo7GjLB/Kfg5KSkoD6Rqi9hiTJ5XKptLS08XFpaalcLpfS09PlcDg0YcIESQ2DWp9ceKqpqdEbb7yh5cuXNy47OZZJkybplltukc/nk83WMeM3hvQX1TAMkukE/7ngfMAqyPn2c7DCpyunfN7sbTGz5lY0WdbcWC7dk+PCusWmYbvW/W79zwslH8LJm1DzLZy4OmJfkRLt4wv3NcN5jc72O4zkvuKdiSHPmtVR759QtzndtavpazQ/BlWo165Qr1uIDTZHN/WcdZ5sjm6d6u8P0BXQlv+S/xw4HI42d35xuVyy2WwqLi5Wdna21q1bp6eeekqGYWjs2LHatWuXRowYocLCQg0ePLhxu61bt+qKK64IuM2svLxcGRkZkqSioiKdccYZHVYYkhiQGgCiLpozjEldc0apYL0VmhvM+HTH562obTJosLf8aOPPkxtRHTlo8KnH2NJgzaEeY92J4/P/PBkDI6O1Qr12NXfdkpq/djWnK1630HY2R7eQi6sA0FZjxozRe++9p+rqavXt21cbNmzQ/fffrxUrVsjlcqmgoEDTpk1TbW2tcnJyNGTIEEnS4sWLlZOTI4/Ho/79+wfMdrZ+/Xpdf/31Aa+zfv16/fa3v1VCQoJSUlL07LPPduhxUhwCgBjTGWcYi+S03qebNevUwYxb6q3grajV/qu2NhtX2eyiJnEN2Dy+3YsnLR1jsMGawz3Gslu3N13YQccInIpiDwCgM9q2bVuTZVu3bm38/2WXXaYPPvigyXPOPvts7dixI+g+T57O3m/27NmaPXt2GyJtG4pDAIB211mn9TZrfK0vWEmSqSbH0B4i2SOjsx4jAAAAOg+KQwCADtFSsScho7sSMls3+Ce3nwAAAACRRXEIANDlUOwBAAAAIicu2gEAANqfwx6nn9yYIoedyz4QKt4/AAAg1tFzCAAswGmPU+7Mtk3VCVgV7x8AABDrKA4BQBsEm1K9Oc2NfZOcZMgwFNIAxIbRsB0AtJWv8riq13yilJxsxTsTox0OAACIAopDABCm002pfqrmphtvboDlA+U+zZx7SE8vSVefjMBtYmWQ5Th7gnrOOk9x9oRoh9IufJXHdWT9x0q9Pks2R7doh2Mp3ArWevWeOtU8v1/11w6UKA4BAGBJFIcAIEyRnG68pUJPnwyb+rli83Jtc3RT+k3nRzuMiPFW1AZMA19XflSHV36k5IvOUEJG94DnGsm2FmdwQ9twKxgAAEDrxeanDQAAWsFItkmGpNYW+YwT2wThrajV/qu2Bt1X2a3bg+5rwObxFIgAAAAQdRSHAAAhiaXbdeLTkjRg8/iA3j6SZJqmPB6P7Ha7DOPLsZ1a6u1j1vhaX2SSJFNNXhcAAACIBopDAICQxNrtOsGKPaZpyub2KsHZI6A4BMQCX+Vx1XvqGh97y482/jw13+PsCc2OlxXqYPoMpA8AQOdFcQgAAMBCjqz/WIdXftRkednsoibLes46r9lxwYINpm+FgfQBAIhFFIcAAECnEEu3LEZSJMfGkqTU67PkGNe/8XHdZ9Uqm10k128uV8KZPQKee7qZBJsr9sTyQPoAAMQi/moDAIBOIdZuWYyU5sbGqis/qrJbt8tVMCpgNrzTzYRnc3QLuFXMPHFfWHxGdyVk9mhuMwBqOitlS5iVEkBXQnEIAACcVqjjy0iMMRNJLX3ATKCoAzSro2albG5fzEoJoKugOAQAQAyL1AejYOPLSIwxA6BzC9bzrrkZKSVmpQRgXRSHAACIYcE+GDV3O5LU8gejYIUe/zhBg7IS5GSsIACd0KnXNGakBICmKA4BQCfF4LyIlFM/GMXZE9Rz1nlKzHI2O015azFOEE7GdQsAgK6J4hAAdFJ86EZ7sTm6NTs9OdAWXLcAAOia+FoHAIAIaBzbp9UbND/oqX/w51bvioGfAQAA0Ab0HAIAIAIiPbbPqYM/M/AzAAAA2gvFIQAAIqS5Yk84U403V+zpk2FTPxd/vgEAABA53FYGAAAAAABgYRSHAADoApgFCqfyzzoXZ09o836SvzegzfsBAABdFy1MAAC6AP8sUE6KQzjBP+uczdGtzfvpMf3sNu8HQOfhqzyuQys+lK/yeLRDAdBFMGhBmPLfyldiYqKMk6aTyRudp7zCvMafp2I967vqetM0NffCucorzNN9V97X6eKL1nq3p16fD6iWJPXef4c+H/Drxp+n+nL54k4TP+ubX2+apo4dO9Z4nQ93/77K43Kfs0+/1rc71fGxnvUnW/D1BU2WAeja6j11OrzyIznG9afwC6BVDNM0zdM9qbKyUk6nU263Ww6HoyPi6tRM09Q99xzTokWBxSEgVpmmKbfbLafT2Wly3u2p15qNVZo+JSVqPSlKyrz6zvc+D2mbPz7fm8GEu4BI5XxdabU+/e5r6r/h2yEPSA10FNo1sJpwr/H+a3ooonX95+8PTtYZ2/LRRH0juOh8oooBd99dG+0QAEur9NRr2aoqVXrqox0KAHR5tGsAALA2ikNhys8PPl0xgK7H7anX409Xyk2hCYBF0a4BOt7BCp9Kyryt+newwtfsfrwVtaorrQ78V35UklRXfrTJOm8FxWAgFJMmTVLPnj01ZcqUoOt3796t7OxsZWVlaeHChY3La2trNWPGDA0aNEiDBw9WUVGRJOmGG27Q8OHDNXz4cGVmZuraa6+V1NDD65ZbblFWVpYuvvhi7du3r92P7WTc2wDA8vy9kK7+dncG+wUAAO3uYIVPoyeX6/QDfDQwDKlwU4Z6pdkClnsrarX/qq1SM/spu3V7kJ1JAzaPV3waRWGgNebMmaNZs2Zp1apVQdfn5uZq7dq1ys7O1siRIzVp0iQNGTJEDzzwgAYOHKhnnnlGdXV1qq5uGKv0hRdeaNx2+vTpGjNmjCTp97//vQ4ePKiPP/5YW7Zs0V133aWNGze2/wGeQHEIgOUcrPCppvbLVtSBcl/Az5MlJxlNGmIAAABtUVNrtrowJEmmqYC2S+PyGl+zhaHmd3ZiOwCtMnr0aBUWFgZdV1ZWJq/Xq6FDh0qSpk6dqi1btmjIkCFas2aNPvroI0lSQkKCUlNTA7Y9duyYXnvtNRUUFEiSXn31VeXk5EiSJkyYoB/96EcyTbPDxokKqThkmqZaMX51zPOfB84FrKIz5rw/llDjOljh05VTPg/aIJs591CTZYYh/d+NvYMWiJISG9aH8q1fUqI61XlEcJHK+XDzFOhInfEaD7SncHM+nPdIc68TqX2F+77lPW8tXOcD+c9DZWVlwPLExEQlJiaGtK+ysjJlZmY2Ps7MzNSbb76pI0eOKD4+XvPmzdPOnTs1bNgwLV26VHa7vfG5f/jDHzRixIjGotHJ+zIMQz179tShQ4fUq1evcA4zZCEVh9xuNwmlhmQ6fjxObncto73DEkzTVFVVlSR1mpz3nBgfyOPxyO1u/a1gn39RH/I3dZ9/UakEW9PXSLBJrz6dHPBNXvkX9Zr9y+P6zf3dlHFG4DbJSYYSbFVyu1v/+oiOSOW8z1MjqSFPbW5vRGIDIo12Dawm3Gu8/5oeiuau/54wxjkM1uYJJ6aW4mpv9Z461bxSouRr+inOntDhr29VnbEtH03+olC/fv0Cli9YsEB5eXkReQ2v16t9+/Zp3LhxKigo0Pz585Wfn68HH3yw8Tnr16/XDTfcEJHXi4SQikNOp5Op3tTw5rr3XqYChHX4i8KdKecrq72SamW32+V0tv5S5t8uFC29htN56nO9kr5Q1tlOpqzvwiKV83VV8TqshhxKcDKVMDon2jWwmnCv8f5reiiau/5Hqj0STkwtxdXe6qqqVfH8fp1x7UD+LnagztiWjyb/OSgpKQmob4Taa0iSXC6XSktLGx+XlpbK5XIpPT1dDodDEyZMkNQwqPXJhaeamhq98cYbWr58eZN9XXzxxTJNU4cPH1Z6enrIMYUrpE8uhmGQTCcsXpysRYs4H7AO//u/s+S8P45QYwon/lBeI9y40PlEIufJB3QVtGtgNeFc4yPZhojUvsJ9z4Zy7G5PvdZsrNL0KSltnriDv4vR09na8tHkPwcOh6PNnV9cLpdsNpuKi4uVnZ2tdevW6amnnpJhGBo7dqx27dqlESNGqLCwUIMHD27cbuvWrbriiisCbjObOHGiVq9erWuuuUa///3vNWLEiA79ffG1dpjuvrtWUuiVRQAAgM6Gdg2A5jCrK6xuzJgxeu+991RdXa2+fftqw4YNuv/++7VixQq5XC4VFBRo2rRpqq2tVU5OjoYMGSJJWrx4sXJycuTxeNS/f/+A2c7Wr1+v66+/PuB1Jk6cqC1btuicc85Ramqq1q1b16HHSXEoTPn5SVq0KNpRAAAAtB3tGgAAgtu2bVuTZVu3bm38/2WXXaYPPvigyXPOPvts7dixI+g+T57O3i8uLk5PPvlkGyJtG0q/AAAAAAAAFkZxCAAiyGGP009uTJGDbtcAAAAAughuKwOACHLa45Q7k1kdAQAAAHQdfLUNAEA7ibMnqOes8xRnT4h2KAAAAECz6DkUJmb1ADrWwQqfamrNxscHyn0BP0+WnGSoV5qtw2IDmmNzdFP6TedHOwzgtGjXAABgbRSHwsSsHkDHOVjh0+jJ5TLNputmzj3UZJlhSIWbMoIWiJKTDBmGgu4rGMNo2AYAYhntGgAArI3iUJj4hg3oODW1ZquLOVJD4efkXkYn65VmU+GmjCa9kGbOPaSnl6SrT0ZgQYleSACsgHYNAADWxphDYcrPT4p2CADC1CvNpn6u+MZ//oJQn4zA5f1c8RSGAFgC7RoAAKyNnkMAAAAAgCZjPErhj/PoraiVWRO4TV350YCfJzOSbYpPo1ANRAvFIQAAAACwuJbGeJRCG+fRW1Gr/VdtlZrZV9mt25suNKQBm8dTIAKihNvKAHQYt6dejz9dKbenPtqhAAAA4CShjvEoNT/Oo1nja7Yw1PzO1KSnEYCOQ3EIQIep9NRr2aoqVVIcAgAAAIBOg+JQmBpm9QAAAOj6aNcAAGBtFIfCxKweAAAgVtCuAU7PSLZJRigbnNgGALoABqQOU8M3bInRDgMAAKDNaNcApxeflqQBm8cHjItTV35UZbdul6tglBIyugc8v6vNvpWcZMgwFNK4Q4bRsB2Aro/iUJjy85O0aFG0owAQCQ57nH5yY4ocdjpTArAm2jVA65xa7ImzJ6jnrPOUmOWUzdGt1fsJtRDTXBGmsTdTKIM/N9OjqVeaTYWbMoIOMN2clqayB9C1UBwCYHlOe5xyZzqiHQYAAOhibI5uSr/p/JC3C7UQ01wRJlhvJknyVdXJs/VT2cf3ly0lIWBdSz2aKPQA1kVxCAAAAAA6WKQKMcEKPQmSkgalRmT/AKyBeygAAAAAAAAsjJ5DANrNwQpfQHfpA+W+gJ8n4551AAAAAIgOikNhYlYPoGUHK3waPbk86ECLM+cearLMMKTCTRkUiAAgCmjXAABgbdxWFqb8/K4zLSUQDTW1ZkhToZqmmh2U0T+jR2sxrSoAhIZ2DQAA1kbPoTDxDRvQcYLN6HGg3KeZcw/p6SXp6pMR2NuIW9QAIDS0awAAsDZ6DoWJb9iAjtUrzaZ+rvjGf4OyEvSTG1M0KCshYHk/VzyFIQAIEe0aAACsjZ5DALokpz1OuTMd0Q4DAAAAALo8eg4BAAAAAABYGMUhAAAAAAAAC6M4BAAAAADoUnyVx3VoxYfyVR6PdihATKA4FKaGWT0AAAC6Pto1ALqaek+dDq/8SPWeumiH0ukcrPCppMwb8K/0s/omy0rKvDpY4Yt2uJ3epEmT1LNnT02ZMiXo+t27dys7O1tZWVlauHBh4/La2lrNmDFDgwYN0uDBg1VUVCRJqq+v15133qmBAwdq8ODBWr9+vSTpmWeeUe/evTV8+HANHz5cL7zwQvsf3EkYkDpM+flJWrQo2lEAAAC0He0aAJ2Zt6JWZk1gEaOu/GjATz8j2ab4NOvOwHiwwqfRk8tlmsHWNv0iwDCkwk0ZzPbbgjlz5mjWrFlatWpV0PW5ublau3atsrOzNXLkSE2aNElDhgzRAw88oIEDB+qZZ55RXV2dqqurJUkrV65UZWWl/vWvf8k0TR06dKhxXz/4wQ/0q1/9qkOO61QUh8LU8A1bYrTDAAAAaDPaNQAiyUi2SYakoAWK5jY6sd0pvBW12n/V1mb3VXbr9ib7GbB5vGULRDW1ZjOFoeBMs2EbNG/06NEqLCwMuq6srExer1dDhw6VJE2dOlVbtmzRkCFDtGbNGn300UeSpISEBKWmpkqSli9frpdeekmSZBiGevXq1e7H0BohFYdM05QZSqbFKNM0tWhRohYt4lzAGvzv/VDe/+FcK7jGoLMIJ+eBrop2DayGa3z7s/VMVP9XxzXp7VNfVafKrZ/KMb6/4lISAtYZyTbZeiY2+b3UH/WGVmQyG7Yxe1rz90sb/PT8x1pZWRmwPDExUYmJoX1RUlZWpszMzMbHmZmZevPNN3XkyBHFx8dr3rx52rlzp4YNG6alS5fKbrerpKREK1as0ObNm9W/f38tW7ZMZ555piRp7dq1ev3113XBBRdoyZIlysjIaOPRtl5IxSG3222ppGmOaZo6fjxObnetDMOIdjhAuzNNU1VVVZLU6pz3eOpDfh2PxyO3m6HQEH3h5DzQVdGugdVwje8gNkkppyxLMdRt1oATNzd5T1npldzHmuzG56kJ+aU9Ho9s7lP33zHqPXWqeaVEydf0U5w94fQbRBht8NPzF4X69esXsHzBggXKy8uLyGt4vV7t27dP48aNU0FBgebPn6/8/Hw9+OCDqqqq0hlnnKF33nlHy5cv1x133KHnnntOV111laZNm6bExEQ9+uijuvXWW7Vhw4aIxNMaIRWHnE6nHA5He8XSZZimqW7djsnpTOQPCizBXxR2Op2tzvnKaq+C3dfcErvdLqeTu10RfeHkPNBV0a6B1XCN71rqquJ1OMRt7Ha7Epw92iWe06mrqlbF8/t1xrUDoxIDbfDT87/vS0pKAuobofYakiSXy6XS0tLGx6WlpXK5XEpPT5fD4dCECRMkNQxq7S88ZWZm6rrrrpMkXXfddVq6dKkkKT09vXE/N998sx599NGQ42mLkDLAMAwuoCf4zwXnA1bg9tRr5bo6/fD7plIdrftWIZz3Bu8pdCZc52El5DushpzvOrpam9L/utGKoaudr2jwH6vD4Whz5xeXyyWbzabi4mJlZ2dr3bp1euqpp2QYhsaOHatdu3ZpxIgRKiws1ODBgyVJV199tQoLCzVt2rSA5Z999lnj7WUvv/yysrOzWxWD1+vVY489po8//lhPPPGE9u3bp08//VTf+MY3QjoW65QHAYSt0lOvlS949d2r65XqYCYDAAAAANYwZswYvffee6qurlbfvn21YcMG3X///VqxYoVcLpcKCgo0bdo01dbWKicnR0OGDJEkLV68WDk5OfJ4POrfv3/jbGf33HOPpk2bpkWLFiktLU3PPPOMJOnRRx/Vli1bZLPZlJGRoeXLl7cqvltvvVU+n09FRUWSGnog3XDDDfrb3/4W0nFSHAoTs3oAAIBYQbsGAIDgtm3b1mTZ1q1bG/9/2WWX6YMPPmjynLPPPls7duxosjwtLU2vvfZak+X5+fnKz88POb633npLe/bs0YUXXihJSk1NVV1dXcj7sc6oUxGWn2/NqREBAEDsoV0DAEDXlJQU+Dfc5/Opvj70gckpDoWp4Rs2AACAro92DQAAXdPQoUO1Zs0a1dfX6+OPP9Ytt9yi0aNHh7wfikNh4hs2AAAQK2jXALCKgxU+lZR5W/XvYIUv2uECp/XII49o+/bt+uyzzzRy5EjFxcWFdXsaYw4BAAAAAGLewQqfRk8ul2m27vmGIRVuylCvtOATsngramXWBBaQ6sqPBvxs3FeyTfFpFOIReSkpKVq+fHmrB7BuDsUhAAAAAEDMq6k1W10YkiTTbNgmGG9FrfZftVVqZn9lt24PXGBIAzaPb3WByO2p15qNVZo+JUVOOzf8oHkLFizQbbfdpvT0dEnSwYMH9fjjj2vBggUh7YcsAwAAAAAgBGaNr9nCUPAN1KSXUUsqPfVatqpKlZ7QBxaGtbzyyiuNhSFJ6tWrl1555ZWQ90NxCGgjX+VxHVrxoXyVx6MdCgAAAADAQoLNTHb8eOifTSkOhYlZPeBX76nT4ZUfqd5TF+1QIiLYIH0HPm/4luPA575WD9KXnGTIMFr/uobRsA0AoOPRrgEAoGsaNGiQHnroIfl8Pnm9Xi1evFjnnXdeyPthzKEw5ecnadGiaEcBNC+c+5RPN0jfrLkVAY9bGqSvV5pNhZsymr1P+1TJSUazg/0BANoX7RoAALqmxx57TNOnT9cvfvELGYahK664QqtXrw55PxSHwtTwDVtitMNAKxys8DUpUHiq6vXyH4/q2u90lz0lsHDSUpEilBkJpNBnJYjkwHP++5Sv/nb3Vu8rkoP0SaLYAwBdBO0aAIgN/t77oczIRu/9rs3lcunPf/6zqqurJUk9evQIaz8Uh8LEN2xdw+l6wjz3YpCCTjO9YUKekUAKeVaCcAo6AAC0Fe0aAIiuU7/QPlDuC/h5spa+zA7We7+s3KtZcyu0ckmaXBmBJQB673dd//73v3XuueequLg46PqhQ4eGtD+KQ4hpofaEkZrvDRPyjARSyLMSAAAAALCWlr7Qnjn3UJNlLQ3tIDXtvW+e2HGf3jb1c1ECiBVz587Vli1bdM011zRZZxiGPvnkk5D2R2YAAAAAABAlkR7a4VQOe5xm3RAvB3cmxJQtW7bINE3t2LFDLperzfsjOwAAAAAAiFFOe5x+OK0bw1bEqLFjx0ZkP2QHAAAAACDm+Qdrbi0Ga0ZnZxiG+vbtq4MHD7Z5X9xWFiZm9QAAALGCdg2AzspItkmGWj/2p3FimyCCDdYsNQz6PHPuIT29JF19Mr7clsGa0RWkpKRo+PDhGj9+vFJSUhqXP/LIIyHth+JQmJjVAwAAxAraNQA6q/i0JA3YPL7JJC915UdVdut2uQpGKSGje+NyI9nW4kzBLRV7+mQwYDO6ln/84x/au3evrrzySmVmZrZpX2R+mPiGDQAAxAraNQA6s2DFnjh7gnrOOk+JWU7ZHN2iEBUQXcuWLdP8+fM1aNAgbd68WStXrtR1110X9v4YcyhM+fnNV6MBAAC6Eto1ALoam6Ob0m86n8IQLGvZsmUqLi7WX//6V23fvj3k28hORc8hIEoOVviC3u988k+/093vHMl9AQAAAAA6t4SEBH3lK1+RJA0ZMkTV1dVt2h/FISAKDlb4NHpyucxmBtabOfdQwGPDkAo3ZQQt6kRyXwAAAACAzq+2tlbvv/++zBMfBE99PHTo0JD2R3EIiIKaWrPZYk4wpqkmPYPag396z9bGxvSeAAAAANDxampqdPXVVwcs8z82DEOffPJJSPujOAR0cZGckrO5fZmmKY/HI7vdLsP4shjELWoAAAAA0PH2798f0f1RHAoTs3qgM4nklJzB9mWaptzuODmd8QHFIQBAbKBdAwCAtTFbWZiY1QMAAMQK2jUAAFgbxaEwNXzDBgAA0PXRrgEAwNooDoWJb9gAAECsoF0DAIC1URwCAAAAAACwMIpDAAAAAAAAFkZxCJ3SwQqfSsq8rf53sMIX7ZABAAAAADFm0qRJ6tmzp6ZMmRJ0/e7du5Wdna2srCwtXLiwcXltba1mzJihQYMGafDgwSoqKpIk1dfX684779TAgQM1ePBgrV+/vvH51113nc4991xdeeWVOnjwYPsf3EmYyh6dzsEKn0ZPLpdptn4bw5AKN2W0OKV7WxnJNsmQFEJcMk5sBwAAAADocubMmaNZs2Zp1apVQdfn5uZq7dq1ys7O1siRIzVp0iQNGTJEDzzwgAYOHKhnnnlGdXV1qq6uliStXLlSlZWV+te//iXTNHXo0CFJ0ooVK3T22WfrxRdfVEFBgfLz8/WrX/2qw44zpOKQaZoyQ/nEHqOOVPrUq3+ljlSmKdXBB/9IO1pTH1JhSJJM079d3CnLw8vXYLlu65mo/q+Ok1kT2EvJW35UZbOL5PrN5YrP6B6wzki2ydYzscm+wokr1PefPcXQj29MkT3FaPP71v/avP9hFeQ8rMQ0Td11V41Ms1u0QwE6BNd4nMqfC6HkRSTb8+392YCcD+Q/D5WVlQHLExMTlZiY2OT5o0ePVmFhYdB9lZWVyev1aujQoZKkqVOnasuWLRoyZIjWrFmjjz76SJKUkJCg1NRUSdLy5cv10ksvSZIMw1CvXr0kSa+++qoefvhhSdL06dN16aWXdt7ikNvtJqEklR7wafHiZH1ntFuGSXEo0jye+jC388jtDiwOeetMGYZC7oXkrauS2200XWmTlBK4yOdpKBbVdPfJluI9ZQOv5D4WJNbQjzHY8Z3O9EmS6j1yu0N+uQCmaaqqqkpSwwUMiHXkPKzENE0tXBine+91k++wBK7xaMI0NeuGeMls5jNAED5PTcgv4/F4ZHOf+nmh/T8bkPOB/EWhfv36BSxfsGCB8vLyQtpXWVmZMjMzGx9nZmbqzTff1JEjRxQfH6958+Zp586dGjZsmJYuXSq73a6SkhKtWLFCmzdvVv/+/bVs2TKdeeaZAftKTU3VkSNH2nScoQqpOOR0OuVwONorli7DXVWn3gMOym7vJaczIdrhxJzKaq+k2pC3s9vtcjoDU9rplP7vRrtqagOrQwc+92nW3AqtXJKmPr0DC3zJSUZIt6fVVcXr8InXT3D2aN02Pp8Mo7bVRSvDkHqf4ZDTGZ1ipL8o7HQ6+YMCSyDnYSWmaeree93kOyyDazxO5XRKt98S2jb+zwChaO7zQjiff4J99mkOOR/Ifw5KSkoC6hvBeg2Fy+v1at++fRo3bpwKCgo0f/585efn68EHH1RVVZXOOOMMvfPOO1q+fLnuuOMOPffccxF77XCFVBwyDINkUsN5+Hy/nfPRTsI9p839Ps5Ib5rm/ue5MuLVz9W2obf8+wolH85Ij1fhpoymRatyn2bOPaSnl6SrT8aXhaBQC1btwX985DysgpyHlSxenKxFi8h3WAfXeLRVOLnTXM5Fcl+nez45/+X5djgcbe784nK5VFpa2vi4tLRULpdL6enpcjgcmjBhgqSGQa39vZIyMzN13XXXSZKuu+46LV26NGBfvXr10pEjRxpvQ+sozFYGREmvNJv6ueID/g3KStBPbkzRoKyEgOXRLgwBAAAAaB/JSYZCqdkYRsM2iD6XyyWbzabi4mL5fD6tW7dOV111lQzD0NixY7Vr1y5JUmFhoQYPHixJuvrqqxvHMDp5+cSJE/Xss89KktasWaOJEyd26LEwWxnQiTjtccqdya2bAAAAgFX0SrM1uavAU1Wvl/94VNd+p7vsKYF9OjrDXQVWMmbMGL333nuqrq5W3759tWHDBt1///1asWKFXC6XCgoKNG3aNNXW1ionJ0dDhgyRJC1evFg5OTnyeDzq379/42xn99xzj6ZNm6ZFixYpLS1NzzzzjCTp5ptv1rRp05SVlaXMzExt3LixQ4+T4hAAAAAAACEwkm2SIam1E98YJ7ZpRrBiz/kDmUWyM9i2bVuTZVu3bm38/2WXXaYPPvigyXPOPvts7dixo8nytLQ0vfbaa02WJycn6+WXX25bsG1AcQhoozh7gnrOOk9xdgYnBwAAAKwgPi1JAzaPl1nja9XzjWSb4tOS2jkqIHwUh8LUe4BHEm9uSDZHN6XfdH60wwAAIGx3310rKXKztACAFVDsQSxhQOowfb7fHu0QAAAAIiI/nw84AABYGcWhMDX0HAIAAOj6GnoOAQAAq6I4FCZ6DgEAgFhBzyEAAKyN4hAAAAAAAICFURwCAAAAAACwMIpDAAAAAAAAFkZxCAAAAAAAwMIoDoWJ2coAAECsYLYyAACsjeJQmJitrGtz2OP0kxtT5LDzFgAAgNnKAACwtvhoB9BVNfQcoiHVVTntccqd6Yh2GAAAdAoNPYcSox0GAACIEopDYQqn55C3olZmjS9gma+qTp6tn8o+vr9sKQmNy41km+LTKD4BAID2l5+fpEWLoh0FAACIFopDp3GwwqeaWjNg2YHPfY0/DcNoXJ6cZKhXmi3ofrwVtdp/1VbJDLpa7g37AhcY0oDN4ykQAQAAAACAdkVxqAUHK3waPblcZtCCjl2z5lYELDEMqXBTRtACkVnja7YwFJSpJr2MAAAAAAAAIo3ReFtQU2s2UxgKzjTVpJcRAAAAAABAZ0bPIURUsNvwmtPSbXgAAAAAAKBjUBwKU8NsZThZy7fhNdXcbXjJSYYMQyH12jKMhu0AAEDomK0MAABrozgUps/32ykQnSJSt+H1SrOpcFNG04HAy32aOfeQnl6Srj4ZTQtK9EICACA8zFYGAIC1URwKE4Wh9tVSoadPhk39XKQuAACRQs8hAACsjQGpw/T5fnu0QwAAAIiI/PykaIcAAACiiOIQAAAAAACAhXFvTgtaGhi5+sj/6vP9xwOWZZx1h37z2EI9tHih8vLyAtb5Ko/rRl2spSUv6LZ+N2hpyQtN9ulf7v/p/PXfZHN0a1yfl5cX8O9U0V7/wx/9Qp/v/7V6D7hDn+//dZP1/uUnr3/k1z3ktMeFtH9pcac8/lheb5qm5s6dq7y8PN13332dLj7Wsz7S603T1LFjx5SYmCjDMDpdfKxnfSTXL1iwoMkyAABgLYZpnn4I4crKSjmdTrndbjkcjo6Iq9MINjV7WblXEyfVactLCXJlfFlfa2lQ5LrSan363ddCeu3+G76thMweoQcdJSVlXn3ne5+HtM0fn+/d6vGD3J56rdlYpelTUhoLSugYpmnK7XbL6XTKMJgVDrGPnIeVmKape+45pkWLEsl3WALXeFgNOR/IyvWNltBz6DSCFXsa6ml16tObgZE7ktMep9yZvHkBAAAAAIgkul+EidnKAABArGiYrQwAAFgVxaEwMVsZAACIFcxWBgCAtVEcChM9hwAAQKyg5xAAANZGcShM9BwCAACxgp5DAAAEN2nSJPXs2VNTpkwJun737t3Kzs5WVlaWFi5c2Li8trZWM2bM0KBBgzR48GAVFRVJaphFtG/fvho+fLiGDx+u7du3S5IKCwuVmprauHzJkiXtf3AnYTRlAAAAAACAIObMmaNZs2Zp1apVQdfn5uZq7dq1ys7O1siRIzVp0iQNGTJEDzzwgAYOHKhnnnlGdXV1qq6ubtzm7rvv1q233tpkX2PGjNHGjRvb7VhaQs+hMDjscbowO04OplMHAAAAACBmjR49WnZ78DuHysrK5PV6NXToUNlsNk2dOlVbtmyRJK1Zs0a33367JCkhIUGpqakdFXJYQuo5ZJrmiWncrc2RYujCC+LkSDFafT7COW9d7Xxb4Rityv974ncFqyDnYSXkO6yGnIfVkPOB/OehsrIyYHliYqISExND2ldZWZkyMzMbH2dmZurNN9/UkSNHFB8fr3nz5mnnzp0aNmyYli5d2lhkeuSRR/Tkk09q5MiRevjhh5WSkiKp4dayYcOGqX///nrkkUeUlZXVlkMNSUjFIbfbTUKpIZmOH4+T210rwzBatY3PUxPy63g8Htnc3pC3ixaPpz6MbTxyu+mB1dmZpqmqqipJanXOA10ZOQ8rCaddA3RlXONhNeR8IH9RqF+/fgHLFyxYoLy8vIi8htfr1b59+zRu3DgVFBRo/vz5ys/P14MPPqgf//jH+uUvfylJ+tnPfqb77rtPDz/8sC666CLt379fKSkpeumllzRt2jS9/fbbEYmnNUIqDjmdTjkcjvaKpcswTVP33uuW0+ls9Zurripeh0N8HbvdrgRnj9ADjJLKaq+k0GY7sdvtcjoZ+qqz8xeFQ8l5oCsj52El4bRrgK6MazyshpwP5D8HJSUlAfWNUHsNSZLL5VJpaWnj49LSUrlcLqWnp8vhcGjChAmSGga19heeMjIyGp8/a9Ys5ebmSlJALJMmTdItt9win88nm80WclzhCOlTuWEYJNMJixcna9Gi1p+PuO7xkiGptR2vjIZtmtu/t6JWZo2vdbtKtik+rf1nIQknN8iprsP/u+L3Basg52ElobZrgK6Oazyshpz/kv8cOByONnd+cblcstlsKi4uVnZ2ttatW6ennnpKhmFo7Nix2rVrl0aMGKHCwkINHjxYknTgwAH16dNHkvTKK68oOztbklReXt5YOCoqKtIZZ5zRYYUhidnKwnb33bWSWl9ZjE9L0oDN45sUdOrKj6rs1u1yFYxSQkb3xuUtFXS8FbXaf9XWkApNAzaP75ACEQAA6HpCbdcAAGAVY8aM0Xvvvafq6mr17dtXGzZs0P33368VK1bI5XKpoKBA06ZNU21trXJycjRkyBBJ0uLFi5WTkyOPx6P+/fs3znb2s5/9THv27JFhGBo4cKCefPJJSdL69ev129/+VgkJCUpJSdGzzz7bocdJcShM+flJWrQotG1aKs4kZHRXQmbrbiEza3ytLwxJkqlW9zICAADWE067BgAAK9i2bVuTZVu3bm38/2WXXaYPPvigyXPOPvts7dixo8ny5oo+s2fP1uzZs9sQadswEjAAAAAAAICFURyKsjh7gnrOOk9x9oRohwIAAAAAACyI28qizObopvSbzo92GAAAAAAAwKLoOQQAAAAAAGBhFIfC1DCrBwAAQNdHuwYAAGujOBSm/PzYnRbe7anX409Xyu2pj3YoAACgA8RyuwYAAJwexaEwxfI3bJWeei1bVaVKikMAAFhCLLdrAADA6VEcChPfsAEAgFhBuwYAAGtjtjLI7akP6CV0oNwX8PNkDnucnHZqigAAAAAAxAqKQ9CajVVatqqqyfKZcw81WfaTG1OUO9MRdD/JSYYMQzLN1r2uYTRsAwAAAAAAoofiEDR9Soqu/nb3xscHyn2aOfeQnl6Srj4ZtoDnOlroNdQrzabCTRmqqf2yOtTSvpKTDPVKs526GwAAAAAA0IEoDnVBRrJNMiS1soeOjBPbNMPZzK1ifTJs6ucKLUWaK/aEsy8AAAAAAND++LQepoZZPRKj8trxaUkasHm8zJovxwSqKz+qslu3y1UwSgkZ3QOebyTbFJ/GQJMAACC4aLZrAABA9DGycJiiPatHfFqSEjJ7fPnvREEoIaN74PLMHhSGAABAi6LdrgEAANFFcShMDd+wAQAAdH20awAAsDaKQ2HiGzYAABAraNcAAGBtFIcAAAAAAAAsjOIQAAAAAACAhVEcAgAAAAAAsDCKQwAAAAAAABZGcShMzOoBAABiBe0aAACsjeJQmJjVAwAAxAraNQAAWBvFoTDxDRsAAIgVtGsAALA2ikNh6mzfsMXZE9Rz1nmKsydEO5QADnucfnJjihx2Ug0AgM6qs7VrAABAx4qPdgCIDJujm9JvOj/aYTThtMcpd6Yj2mEAAAAAAIBm0J0DAAAAAADAwigOoQluBQMAAAAAwDq4rQxNcCsYAAAAAADWQdeQMDGrBwAAiBW0awAACG7SpEnq2bOnpkyZEnT97t27lZ2draysLC1cuLBxeW1trWbMmKFBgwZp8ODBKioqkiTl5eWpb9++Gj58uIYPH67t27dLkkzT1C233KKsrCxdfPHF2rdvX/sf3EkoDoWJWT0AAECsoF0DAEBwc+bM0erVq5tdn5ubq7Vr12rv3r3aunWr3n//fUnSAw88oIEDB2rv3r0qLi7WBRdc0LjN3XffrT179mjPnj0aNWqUJOn3v/+9Dh48qI8//lh5eXm666672vfATkFxKEx8wwYAAGIF7RoAAIIbPXq07HZ70HVlZWXyer0aOnSobDabpk6dqi1btkiS1qxZo9tvv12SlJCQoNTU1BZf59VXX1VOTo4kacKECdq5c6dM04zcgZxGSGMOmabZocF1VqZpatGiRC1axLmANfjf+7z/YRXkPKyEdg2shms8rIacD+Q/D5WVlQHLExMTlZiYGNK+ysrKlJmZ2fg4MzNTb775po4cOaL4+HjNmzdPO3fu1LBhw7R06dLGItMjjzyiJ598UiNHjtTDDz+slJSUgH0ZhqGePXvq0KFD6tWrV1sOt9VCKg653W4SSg3JdPx4nNzuWhmGEe1wgHZnmqaqqqokiZyHJZDzsBLaNbAarvGwGnI+kL8o1K9fv4DlCxYsUF5eXkRew+v1at++fRo3bpwKCgo0f/585efn68EHH9SPf/xj/fKXv5Qk/exnP9N9992nhx9+OCKv2xYhFYecTqccDmaxMk1T3bodk9OZyJsLluAvCjudTnIelkDOw0po18BquMbDasj5QP5zUFJSElDfCLXXkCS5XC6VlpY2Pi4tLZXL5VJ6erocDocmTJggqWFQa3/hKSMjo/H5s2bNUm5ubsC+Lr74YpmmqcOHDys9PT3kmMIVUnHIMAyS6QT/ueB8wCrIeVgNOQ8rId9hNeQ8rIac/5L/HDgcjjZ3fnG5XLLZbCouLlZ2drbWrVunp556SoZhaOzYsdq1a5dGjBihwsJCDR48WJJ04MAB9enTR5L0yiuvKDs7W5I0ceJErV69Wtdcc41+//vfa8SIER36+wqpOAQAAAAAAGAVY8aM0Xvvvafq6mr17dtXGzZs0P33368VK1bI5XKpoKBA06ZNU21trXJycjRkyBBJ0uLFi5WTkyOPx6P+/ftr1apVkhpuJduzZ48Mw9DAgQP15JNPSmooDm3ZskXnnHOOUlNTtW7dug49TsNsxSBClZWVcjqdcrvd3Famhm55brebbnmwDHIeVkPOw0rId1gNOQ+rIecDUd8Ijqnsw5SfnxTtEAAAACKCdg0AANZGcShMd99dG+0QAAAAIoJ2DQAA1kZxKEx8wwYAAGIF7RoAAKyN4hAAAAAAAICFURwCAAAAAACwMIpDAAAAAAAAFkZxCAAAAAAAwMIoDoWJWT0AAECsoF0DAIC1URwKE7N6AACAWEG7BgAAa6M4FCa+YQMAALGCdg0AANZGcShMfMMGAABiBe0aAACsjeIQAAAAAACAhVEcAgAAAAAAsDCKQwAAAAAAABZGcQgAAAAAAMDCKA6FiVk9AABArKBdAwCAtVEcChOzegAAgFhBuwYAAGujOBQmvmEDAACxgnYNAADWRnEoTHzDBgAAYgXtGgAArI3iEAAAAAAAgIVRHAIAAAAAALAwikMAAAAAAAAWFh/tALqq+KIiKW+7ZBhfLszLC/x3KtazvquuN01p7tyG5ffd1/niYz3rI73eNJV07JiUmNhwne9s8bGe9ZFcv2BB02UAAMBSDNM0zdM9qbKyUk6nU263Ww6HoyPi6tRM05Tb7ZbT6ZRxcnEIiFHkPKyGnIeVkO+wGnIeVkPOB6K+EVxctAMAAAAAAABA9FAcAgAAAAAAsDCKQwAAAAAAABZGcQgAAAAAAMDCKA4BAAAAAAAEMWnSJPXs2VNTpkwJun737t3Kzs5WVlaWFi5c2Li8trZWM2bM0KBBgzR48GAVFRUFbDdv3jz16tWr8fEzzzyj3r17a/jw4Ro+fLheeOGF9jmgZlAcAgAAAAAACGLOnDlavXp1s+tzc3O1du1a7d27V1u3btX7778vSXrggQc0cOBA7d27V8XFxbrgggsat/nwww/12WefNdnXD37wA+3Zs0d79uzRDTfcEPmDaQHFIQAAAAAAgCBGjx4tu90edF1ZWZm8Xq+GDh0qm82mqVOnasuWLZKkNWvW6Pbbb5ckJSQkKDU1tXG7n/3sZ/rf//3fdo89FPGhPNk0TZmm2V6xdBn+88C5gFWQ87Aach5WQr7Dash5WA05H8h/HiorKwOWJyYmKjExMaR9lZWVKTMzs/FxZmam3nzzTR05ckTx8fGaN2+edu7cqWHDhmnp0qWy2+164YUXdPHFF+srX/lKk/2tXbtWr7/+ui644AItWbJEGRkZYRxheEIqDrndbhJKDclUVVUlSTIMI8rRAO2PnIfVkPOwEvIdVkPOw2rI+UD+olC/fv0Cli9YsEB5eXkReQ2v16t9+/Zp3LhxKigo0Pz585Wfn6/58+dr6dKl2rZtW5NtrrrqKk2bNk2JiYl69NFHdeutt2rDhg0Riac1QioOOZ1OORyO9oqly/AXyJxOJ28uWAI5D6sh52El5DushpyH1ZDzgfznoKSkJKC+EWqvIUlyuVwqLS1tfFxaWiqXy6X09HQ5HA5NmDBBUsOg1nl5efrkk0/08ccfa/DgwZKkw4cPa+jQoSouLlZ6enrjfm6++WY9+uij4Rxe2FpVHPInk8fjIZnUcD48Ho/i4uI4H7AEch5WQ87DSsh3WA05D6sh5wN5PB5Jkt1ub3PnF5fLJZvNpuLiYmVnZ2vdunV66qmnZBiGxo4dq127dmnEiBEqLCzU4MGDNWTIEJWXlzdu36tXLxUXF0uSPvvsM5155pmSpJdfflnZ2dltii1UrSoO+U/eqd2uAAAAAAAAuhqPxyOn03na540ZM0bvvfeeqqur1bdvX23YsEH333+/VqxYIZfLpYKCAk2bNk21tbXKycnRkCFDJEmLFy9WTk6OPB6P+vfvr1WrVrX4Oo8++qi2bNkim82mjIwMLV++PCLH2VqG2YpBhOrr61VWVia73U6lUQ33KPbr169JNzQgVpHzsBpyHlZCvsNqyHlYDTkfyN+TyuVyKS6OCdz9WtVzKC4uTn379m3vWLoch8PBmwuWQs7Dash5WAn5Dqsh52E15PyXWtNjyGookwEAAAAAAFgYxSEAAAAAAAALozgUhsTERC1YsCCsqe6Aroich9WQ87AS8h1WQ87Dash5tEarBqQGAAAAAABAbKLnEAAAAAAAgIVRHAIAAAAAALAwikNRwJ18sBpyHlZDzsNqyHlYDTkPqyHnYx9jDgEAAAAAAFhYfLQDsJK7775btbW1uuiiizR8+HANHTo02iEB7Yqch9WQ87Aach5WQ87Dash56+C2sg7y3HPP6cCBA5o1a5bq6+v1yCOPqKioKNphAe2GnIfVkPOwGnIeVkPOw2rIeWuh51AHSUtLU48ePTR06FANHTpUZ5xxhp599ln17t1bAwcOjHZ4QMSR87CaXr16kfOwlJ49e5LzsBRyHlaTmppKzlsIPYfa2bvvvqva2lqNHDlSffv21bZt23Ts2DGNGzdO2dnZ+vTTT6MdIhBRe/fuVV1dnUaNGkXOw1IuvPBCfeUrXyHnEfP27t0rn8+nyy+/XFlZWXrjjTdUW1tLziNmrVu3TpJ06aWXNrZtyHnEsldeeUWS9M1vflMul4u2jUVQHGpHubm5+uUvf6kZM2bI5/Np6NCh2rlzp7Zt26a4uDjZ7XZt37492mECEZObm6t7771X06dP19GjRzVkyBDt2LGDnEfMmjVrlp588klJUu/evfWVr3xFb731FjmPmHXbbbcpLy9PM2bM0O7duxUXF6d//OMf5Dxi1pw5c/T2229LktLT03X++efrrbfe0p/+9CdyHjFp8+bNuv3225Wfn6+kpCQNHz5cRUVFXOctgNvK2klBQYHcbre2bNmiJUuWaPXq1crNzVVNTY0+/PBDPf/88zpw4IB+/vOfRztUICJ+85vfqKKiQi+88ILy8vK0cOFCFRQUqK6uTsXFxVq7dq1KS0v1i1/8ItqhAhGxevVqFRcX61//+pdsNpt++MMf6nvf+542btxIziMmFRcXa9++ffr973+vV155Rf/617+UkpIin8+nDz/8UOvWrVNZWRltG8SMZcuW6Z133tEbb7yh9evXq7y8XNdcc42qqqr0wQcfaO3ateQ8Ys5Xv/pVXX755frPf/6je+65R4sWLVJycrL+/ve/8xk2xjGVfTvZtWuXLrnkEsXHx+uxxx7Tc889p4svvljf//739dWvflXvvvuuevTooezs7GiHCkTEn/70Jw0ZMkS9e/fW0aNHNW/ePC1btkySdPz4cf3jH/9QYmIiOY+Y8Z///EdnnXWWPv/8c02aNEkzZszQzTffLEmqqanRRx99pG7dupHziBlut1uPPPKI5s6dq9TUVBUVFemdd97RyJEjdfHFF+vtt99W9+7dyXnEjD/+8Y/as2ePXnzxRY0aNUo2m00JCQmaNGkSOY+Y5PP5FBcXp/z8fE2cOFGbN29WXV2drrjiCg0bNkwff/wxn2FjGMWhCPP5fLLZbI2PS0tL9dhjj2nOnDl6/fXX9Y9//EO//vWvoxghEFler1fx8V92Qqyvr1dNTY2uvfZabd26VR9++KG6d++uc889N4pRApFz6nVekvbt26cf/OAHmjdvni6//HKVlZVp2LBhUYoQiCzTNGUYhurr6/XAAw+ovr5eeXl5kqTnn39ef/nLX/Tb3/42ukECEVRfX6+4uDiZpqnt27frgw8+0I9//GNJ0vLly/X2229rxYoVUY4SiBx/zvv97ne/k9vt1m233aavf/3rqq2t1d/+9jcZhhHFKNHeGHMowmw2m7xerzZt2iRJyszMVF5enjIzMzVs2DCVlJTo888/j3KUQOTEx8fLNM3GcVcMw1CPHj104YUX6o033tCPfvQjHTp0KMpRApFjs9lkmqaWL18uqaFYdM455+i1117TnXfeqYsvvli1tbVRjhKIDH9hyOfz6YUXXtDPf/5zffLJJ1q4cKFKSko0cOBAVVdX6/Dhw9EOFYgI0zQVFxen+vp6rVq1SldccYVmzJjRuP7SSy+Vz+dTZWVl9IIEIsxfDPUX+r/zne8oOTlZjz32mAYMGKArr7xSn3zyiehXEtsoDkXIX/7yFxUVFUlquIUmKSmpcV337t21e/duzZkzR7NmzVLv3r2jFSYQMc8++6w2btwon88nwzB0xhlnSFLjNwqlpaWaPXu2HnzwQV122WXRDBWIiBdffFFbt26V1+uVYRgaMGCApC+LRZLkcDj029/+VpdeemkUIwUi4+DBg409hmw2mxITE2Wz2bRixQrFx8dr1apVuuOOO/T9739fPXv2jHa4QJudnPNxcXFKTU2VJCUnJ0uSduzYoZtuuklTpkyRw+GIYqRAZLz00kvaunWrpIY2/JlnnilJysjI0F/+8hf9/e9/17PPPqtf/epXOuecc+g5FOO4rSwCbrrpJh09elT/7//9P33zm9/Ufffd1+Q569evV58+fTRq1KgoRAhE1v/5P/9HbrdbdXV1+p//+R/Nnz+/yXMef/xxZWdna/To0R0fIBBht99+uw4fPiyfz6dzzz1Xl156qb7xjW8E3FJZU1OjTz/9VOedd15jbwugq5o8ebJ27dqlwsJCDRw4sNnnff7553zphZjQmpzftGmTevfuTXseMeGHP/yhjh07psrKSg0bNkz3339/wPqTbzULdks9Yg89h9pow4YNMk1Tzz//vIqKilRcXKz333+/cf2nn36qtWvX6vrrr+cPCWLCtm3blJycrHXr1mnTpk0qLi7Wtm3bdODAAUkNg/QWFBQoNzeXwhBiRlxcnObPn6/Vq1fr/PPP17vvvqvCwkJJDTn/0EMPKTk5Weedd54kURhCl7Z3714NHDhQixYt0k033aR//etfkho+HEgNOb9o0SJJUq9evaIWJxApp8v5/fv367HHHtPkyZNpzyMm/PnPf1a3bt20Zs0avfrqq/rHP/6hP//5z43r9+3bp4cfflgShSErYSr7NvrWt77VePuAaZo699xzG/+QSFJqaqouvPDCaIUHRNyoUaP0jW98Q1JDcXTPnj1avXq1evXqpQceeEBnnXWWrrzyyihHCUSGv0HUv39/7dy5U+eee64mTJigF198UTt27NCYMWN01llnaeLEidEOFYiYQYMG6ec//7lSUlIkSTNmzNDvfvc7DR48WMeOHdNZZ52la6+9VpICBjAFuqrT5fyAAQP0rW99K8pRApFz+eWXB0wWc8UVVzQWgEzT1DnnnKOrr75akigMWQjFoTA9+OCDSktLU+/evTV58mRJDd8Up6WlyTRN/f3vf9ff//533XTTTXI6nVGOFmg7f86npaXphhtukNQwvspf//pXOZ1O/fCHP9Q777yjUaNGMb0lYsJ9990nm82mc889V1dffbVmz56tnj176uqrr9b3vvc9XX/99dq9e7e++tWv6vzzz492uECb+XPe5XJp1qxZkqQbb7xRkjR79mzddNNNKi0t1W233abBgwdHM1QgIkLJea7ziAX33Xef4uLi9JWvfKUx1yWpW7duOnbsmP7+97/rjTfe0J133sl13oL4uicMc+fO1fvvv68LLrhATzzxhP761782rrPb7fr1r3+tO+64Q3369IlilEDknJzzTz31lN566y1J0re//W05nU4VFxdr3759DEiKmPHEE0/ob3/7m7773e/qmWee0d/+9jf99Kc/1erVq7Vs2TKtWbNGBw8ebBysFOjqTs75TZs26YknnmicjenGG2/UJZdcoptuuknZ2dlKSEiIcrRA25HzsBp/zl9//fVav369nnjiCXk8HklSjx499Jvf/Ebz5s3T0KFD6RVqUfzWQ7Rv3z4dPnxYa9as0ahRozRx4sSAqSzT09O1fft23XfffZowYUIUIwUiI1jO+/+QSNJHH32ke+65R3fddZcuuOCCKEYKRE5GRoZmzZqlQYMG6cknn9Qf/vAHHTlyRMuXL1efPn3073//W3fffXeLA/UCXcnJOb98+XK9++67ev755yU1DLZ+/PhxrV+/Xt/5zneiHCkQGeQ8rCZYzj/33HOSpLPOOkv//Oc/de+992rcuHFRjhTRwmxlYaiurlaPHj0kSStXrtRnn32m+fPnq7KyUh6PRx9//LG+/vWvRzlKIHKay/kjR44oISFB//nPfygMIaYUFRXpzjvv1K9//Wt97WtfU0lJiaZPn6577rmHDwqISafm/H//+1/l5ORozpw5uvbaa+XxeGS32+VvNjLoOro6ch5W01zO33HHHbrwwgtVVlamSy65hBlXLYyeQ2Ho0aNH4x+K9PR0paamat++fZoxY4ZSUlIoDCHmNJfzP/zhD3X8+HEKQ4g5l19+uRYsWKDbb79dO3fuVL9+/TR79mwdPnw42qEB7eLUnO/bt69yc3N19OhRSQ23zUsNH5D50IBYQM7DaprLebfbrczMTF1yySWSKIRaGQNSh8n/prngggu0ZMkSvfrqq/rpT3/K4NOIWc3lPOMMIVb5ewjdeeedmjp1qh577DGtXLkyylEB7Yech9WQ87CaYDn/u9/9LspRobPgtrI2+uc//6ns7Gy9/vrrGjNmTLTDAdodOQ+ref/99+Xz+eTz+fQ///M/0Q4HaHfkPKyGnIfVkPMIhuJQC4qKipSdnS273a74+OY7WZWVlcnlcnF/Jro8ch5W88ILL2jo0KFKT09X7969ox0O0O7IeVgNOQ+rIecRLopDzZg9e7ZKSkrUs2dPzZw5U1dccYV8Pp9sNlvjc7xer+Lj41VfX6+4uDg+KKNLI+dhNXPnztU///lPXXjhhbr88suDzjBJjiOWkPOwGnIeVkPOoy0YkDqIVatW6YsvvtDLL7+s73znO1q+fLkkNX5Ifv311/Xhhx829qyIi2s4jbzJ0FWR87CaF198UQcOHNAf//hHTZ48Wa+//rpKSkr03//+V5L05z//WcXFxeQ4YgY5D6sh52E15DzaiuJQEF/72te0ZMkSSdINN9wgu90eMENNTU2N7r33XlVWVkYrRCCiyHlYzbhx47R69WpJ0ocffqhXXnlFS5cuVUFBgaqqquR2uzVv3jxmJ0PMIOdhNeQ8rIacR1sxW9lJ1q9fL6/XqylTpjT2mPD5fCopKVFdXZ3effddVVRU6JprrlFWVpYcDkeUIwbahpyH1axfv17Hjh3T1KlTlZCQoLq6OiUlJemvf/2r4uPj9dhjj6murk6TJk1SdnY2s/GhyyPnYTXkPKyGnEekMObQCXfccYc+++wz9e3bV263W9OmTdNFF10ku92uhQsXql+/fvrd736nRYsWadSoUY3bcc8muipyHlYTLOcvu+wyJSYmSpLeeecd/fSnP9Xy5ct1/vnnN25HzqOrIudhNeQ8rIacRyTRc+iEM888U7fccovOPfdcPffcc9q2bZuSkpJ06aWX6vDhw1q2bJmee+65gA/JEmOuoOsi52E1p+b8G2+80ZjzxcXFuu2227RgwYKAxpNEzqPrIudhNeQ8rIacRyQ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", 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" ] @@ -220,7 +245,7 @@ "Open time 2023-01-02 22:30:00\n", "Open price 1.06563\n", "Stop loss 1.06463 (10) pips\n", - "Take profit 1.0671 (15) pips\n" + "Take profit 1.06713 (15) pips\n" ] } ], @@ -238,185 +263,162 @@ "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" ] }, + { + "cell_type": "markdown", + "id": "64b4157f-7c31-4a52-9580-1eef0071a01e", + "metadata": {}, + "source": [ + "### Plot with moving averages" + ] + }, { "cell_type": "code", - "execution_count": null, - "id": "a9dd5c4d-251e-4f3a-973f-15c5cd5ab972", + "execution_count": 10, + "id": "e91e53c8-b8af-4d5c-bca3-b1b5494883e7", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "\n", + "open_period = \"2023-01-02 22:30:00\"\n", + "time_barrier = \"2023-01-03 01:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.BUY\n", + "\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" + ] }, { "cell_type": "code", - "execution_count": null, - "id": "2fb83bbf-b02a-426b-ac70-73d4d3b9b9b0", + "execution_count": 11, + "id": "c1a19779-58eb-4f52-bdc2-661f04a3a99e", "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 51\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-02 22:30:00\n", + "Open price 1.06563\n", + "Stop loss 1.06463 (10) pips\n", + "Take profit 1.06713 (15) pips\n" + ] + } + ], + "source": [ + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " periods_to_plot=50\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" + ] + }, + { + "cell_type": "markdown", + "id": "70ac9105-6e38-403d-8dfa-99be7d321d4d", + "metadata": {}, + "source": [ + "### Plot dynamoc barrier between stop loss and take profit" + ] }, { "cell_type": "code", - "execution_count": null, - "id": "5fba54c8-eb8a-4144-9267-93b7357c4ba3", + "execution_count": 12, + "id": "1142d4b2-fe24-4a2c-90d3-3c38b61baeb2", "metadata": {}, "outputs": [], - "source": [] + "source": [ + "mask = (df[\"close\"].shift(1) < df[\"mva-24\"].shift(1) ) & ( df[\"close\"] > df[\"mva-24\"] )\n", + "dynamic_close = df.loc[mask][open_period: ].head(1)[\"mva-24\"].values[0].round(PIP_POSITION+1)" + ] }, { "cell_type": "code", - "execution_count": 10, - "id": "0c5e6916-79e6-4c5e-a50c-1b52bb503f1c", + "execution_count": 13, + "id": "c50b5792-828b-4718-a418-39930da5b8d7", "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 51\n" + ] + }, { "data": { - "text/html": [ - "
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openhighlowclosevolume
date-time
2023-01-03 17:40:001.055911.055961.055521.05552649.39
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", "text/plain": [ - " open high low close volume\n", - "date-time \n", - "2023-01-03 17:40:00 1.05591 1.05596 1.05552 1.05552 649.39\n", - "2023-01-03 17:45:00 1.05552 1.05578 1.05550 1.05555 554.25\n", - "2023-01-03 17:50:00 1.05556 1.05575 1.05541 1.05560 858.01\n", - "2023-01-03 17:55:00 1.05560 1.05560 1.05509 1.05518 1132.50\n", - "2023-01-03 18:00:00 1.05519 1.05526 1.05496 1.05526 501.51\n", - "2023-01-03 18:05:00 1.05527 1.05540 1.05527 1.05534 254.27\n", - "2023-01-03 18:10:00 1.05533 1.05538 1.05522 1.05527 64.95\n", - "2023-01-03 18:15:00 1.05527 1.05542 1.05527 1.05533 72.24\n", - "2023-01-03 18:20:00 1.05536 1.05541 1.05479 1.05489 442.60\n", - "2023-01-03 18:25:00 1.05490 1.05523 1.05489 1.05503 563.15" + "
" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-02 22:30:00\n", + "Open price 1.06563\n", + "Stop loss 1.06463 (10) pips\n", + "Take profit 1.06713 (15) pips\n" + ] } ], "source": [ - "df[FROM: TO].head(10)" + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " dynamic_exit_price=dynamic_close,\n", + " periods_to_plot=50\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" ] }, { "cell_type": "code", "execution_count": null, - "id": "5dc216fe-df44-40a2-84d1-2b9e2521080a", + "id": "34e5f548-65bc-475f-ace9-10fc3a546b2d", "metadata": {}, "outputs": [], "source": [] diff --git a/pyproject.toml b/pyproject.toml index f88959a..a011c59 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "triple-barrier" -version = "0.1.0" +version = "0.2.0rc" authors = [ {name="Marcello Chiuminatto", email="mch@thequantick.net"}, ] diff --git a/tests/triple_barrier/unit/test_plots_happy_path.py b/tests/triple_barrier/unit/test_plots_happy_path.py index 576b2ab..0a30c0b 100644 --- a/tests/triple_barrier/unit/test_plots_happy_path.py +++ b/tests/triple_barrier/unit/test_plots_happy_path.py @@ -5,6 +5,7 @@ from triple_barrier.plots import PlotTripleBarrier from triple_barrier.triple_barrier import TradeSide + class TestPlots: def test_build_ohlc(self, prepare_price_data): @@ -24,3 +25,14 @@ def test_build_ohlc(self, prepare_price_data): assert (ohlc[constants.HIGH] - df[constants.HIGH]).sum() == 0 assert (ohlc[constants.LOW] - df[constants.LOW]).sum() == 0 assert (ohlc[constants.CLOSE] - df[constants.CLOSE]).sum() == 0 + + + def test_plot(self): + # load a predefined image from disk + + # plot the image and store it into memory + + # compare loaded image with plotted one + + ... + diff --git a/triple_barrier/constants.py b/triple_barrier/constants.py index d48d7fb..33d23f9 100644 --- a/triple_barrier/constants.py +++ b/triple_barrier/constants.py @@ -9,3 +9,11 @@ CLOSE = "close" INFINITE_DATE = datetime(datetime.now().year + 1000, month=1, day=1) + +# region barrier +STOP_LOSS: str = "stop-loss" +TAKE_PROFIT: str = "take-profit" +DYNAMIC_CLOSE: str = "dynamic-close" +TIME_LIMIT: str = "time-limit" +OPEN_PRICE: str = "open-price" +# endregion diff --git a/triple_barrier/plots.py b/triple_barrier/plots.py index 9a2ac07..9622c87 100644 --- a/triple_barrier/plots.py +++ b/triple_barrier/plots.py @@ -1,10 +1,14 @@ # TODO: Move all this logic to a single file +from datetime import datetime import pandas as pd import matplotlib.pyplot as plt import mplfinance as mpf +from triple_barrier.triple_barrier import BarrierHit +from triple_barrier import constants + class PlotTripleBarrier: @@ -14,7 +18,7 @@ def __init__(self, low_price: pd.Series, close_price: pd.Series, pip_decimal_position: int, - overlay_features: list = None + overlay_features: list | None = None ): if overlay_features is None: @@ -27,6 +31,7 @@ def __init__(self, low_price, close_price) self.pip_factor = 10 ** (-pip_decimal_position) + self.barrier_lines: list | None = None @staticmethod def build_ohlc(open_price: pd.Series, @@ -47,51 +52,81 @@ def plot(self, stop_loss_level: float, time_barrier_datetime: str, periods_to_plot: int = 50, - dynamic_exit_datetime: str = None + dynamic_exit_price: float | None = None, + closing_event: BarrierHit | None = None ): - date_from = pd.to_datetime(entry_period) - date_to = self.ohlc[entry_period:].index[periods_to_plot] + date_from: datetime = pd.to_datetime(entry_period) + date_to: datetime = self.ohlc[entry_period:].index[periods_to_plot] if len(self.ohlc[date_from: date_to]) == 0: raise ValueError("No data to process") - print("Plotting barrier for", len(self.ohlc[date_from: date_to])) - - open_price: float = self.ohlc.loc[date_from]["open"] - stop_loss: float = stop_loss_level - take_profit: float = take_profit_level - time_limit = pd.to_datetime(time_barrier_datetime) + barrier: dict = { + constants.OPEN_PRICE: self.ohlc.loc[date_from]["open"], + constants.STOP_LOSS: stop_loss_level, + constants.TAKE_PROFIT: take_profit_level, + constants.DYNAMIC_CLOSE: dynamic_exit_price, + constants.TIME_LIMIT: pd.to_datetime(time_barrier_datetime), + } + print("Plotting barrier for", len(self.ohlc[date_from: date_to])) plots: list = [] for feature in self.overlay_features: - plots.append(mpf.make_addplot(feature[date_from:date_to], type="line", marker="8", label=feature.name)) + plots.append(mpf.make_addplot(feature[date_from: date_to], + type="line", + marker="8", + label=feature.name) + ) + + # TODO: move this to a function and include dynamic barrier + barrier_lines = self._build_barrier_lines(date_from, date_to, barrier) + + mpf.plot(self.ohlc[date_from:date_to], + type="candle", figsize=(15, 4), + style="ibd", + alines=barrier_lines, + addplot=plots) + + # TODO: Plot the barrier hit + + plt.show() + + # TODO: store bninary image in a file to compare with a stored one for testing purposes + + @staticmethod + def _build_barrier_lines(date_from: datetime, + date_to: datetime, + barrier: dict) -> dict: - barrier_points = [ + take_profit: float = barrier[constants.TAKE_PROFIT] + stop_loss: float = barrier[constants.STOP_LOSS] + open_price: float = barrier[constants.OPEN_PRICE] + time_limit: datetime = barrier[constants.TIME_LIMIT] + dynamic_close: float = barrier[constants.DYNAMIC_CLOSE] + + barrier_lines = [ [(date_from, take_profit), (time_limit, take_profit)], [(date_from, stop_loss), (time_limit, stop_loss)], [(date_from, stop_loss), (date_from, take_profit)], [(time_limit, stop_loss), (time_limit, take_profit)], - [(date_from, open_price), (time_limit, open_price)] + [(date_from, open_price), (time_limit, open_price)], ] + if dynamic_close is not None: + barrier_lines.append([(date_from, dynamic_close), (time_limit, dynamic_close)]) colors: list = [] if take_profit > stop_loss: - colors = ["g", "r", "b", "b", "black"] + colors = ["g", "r", "b", "b", "black", "grey"] + else: - colors = ["r", "g", "b", "b", "black"] + colors = ["r", "g", "b", "b", "black", "grey"] - barrier_lines = dict(alines=barrier_points, + barrier_lines = dict(alines=barrier_lines, linewidths=[0.5], colors=colors, linestyle=["-.", "-."], alpha=0.5) - mpf.plot(self.ohlc[date_from:date_to], - type="candle", figsize=(15, 4), - style="ibd", - alines=barrier_lines, - addplot=plots) - - plt.show() + return barrier_lines diff --git a/triple_barrier/triple_barrier.py b/triple_barrier/triple_barrier.py index b327994..6a88f4e 100644 --- a/triple_barrier/triple_barrier.py +++ b/triple_barrier/triple_barrier.py @@ -28,11 +28,11 @@ class TradeSide(Enum): class MultiBarrier: def __init__(self) -> None: - self.barriers: list[Barrier] = [] - self.first_hit: Barrier = Barrier() + self.barriers: list[BarrierHit] = [] + self.first_hit: BarrierHit = BarrierHit() -class Barrier: +class BarrierHit: def __init__(self, level: float | None = None, @@ -138,7 +138,7 @@ def compute_dynamic_barrier(self): self.multi_barrier.barriers.append(dynamic_barrier.barrier) def select_first_hit(self): - first_hit: Barrier | None = None + first_hit: BarrierHit | None = None for barrier in self.multi_barrier.barriers: if first_hit is None: first_hit = barrier @@ -174,8 +174,8 @@ def __init__(self, self._validate_barrier_parameters() - self.barrier: Barrier = Barrier(barrier_type=BarrierType.TAKE_PROFIT, - level=take_profit_level) + self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.TAKE_PROFIT, + level=take_profit_level) def _validate_barrier_parameters(self): if self._take_profit_width is not None and self._take_profit_level is not None: @@ -243,8 +243,8 @@ def __init__(self, self._validate_barrier_parameters() - self.barrier: Barrier = Barrier(barrier_type=BarrierType.STOP_LOSS, - level=stop_loss_level) + self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.STOP_LOSS, + level=stop_loss_level) def _validate_barrier_parameters(self): if self._stop_loss_width is not None and self._stop_loss_level is not None: @@ -296,7 +296,7 @@ def __init__(self, self.time_barrier_periods: int = time_barrier_periods self.open_datetime: str = open_datetime - self.barrier = Barrier(barrier_type=BarrierType.TIME_BARRIER) + self.barrier = BarrierHit(barrier_type=BarrierType.TIME_BARRIER) def compute(self): self._compute_hit_date_time() @@ -332,7 +332,7 @@ def __init__(self, self.open_datetime: str = open_datetime self.exit_signals: pd.Series = exit_signals - self.barrier: Barrier = Barrier(barrier_type=BarrierType.DYNAMIC) + self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.DYNAMIC) def compute(self): self._compute_hit_datetime() From 21d2b351245eb9b62516e49fc0aa61f4958c5cb9 Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Sun, 10 Mar 2024 15:14:46 -0300 Subject: [PATCH 2/6] DONE: Full triple barrier plots. Added labes to horizontal barrier Signed-off-by: marcello chiuminatto --- docs/TODO.md | 6 +- docs/test-triple-barrier-plotting.ipynb | 706 ++++++++++++++++-- requirements.txt | 3 +- .../unit/test_plots_happy_path.py | 7 - triple_barrier/plots.py | 123 ++- triple_barrier/triple_barrier.py | 3 + 6 files changed, 731 insertions(+), 117 deletions(-) diff --git a/docs/TODO.md b/docs/TODO.md index 1e7fb09..0f7adcd 100644 --- a/docs/TODO.md +++ b/docs/TODO.md @@ -1,8 +1,8 @@ # TODO - -Updated: March 7th 2034 - +Updated: March 8th 2034 1. Add tgraling stops 2. Refactor StoLoss, Take Profit and Dynamic Barrier to reduce code by building a base class +3. Add possibility to plot oscilators in a pannel below +4. Make overline line thiner diff --git a/docs/test-triple-barrier-plotting.ipynb b/docs/test-triple-barrier-plotting.ipynb index e4342c4..a217ffc 100644 --- a/docs/test-triple-barrier-plotting.ipynb +++ b/docs/test-triple-barrier-plotting.ipynb @@ -1,5 +1,15 @@ { "cells": [ + { + "cell_type": "markdown", + "id": "05d357d2-05ca-497a-b623-ad902dec1bae", + "metadata": {}, + "source": [ + "## References\n", + "\n", + "https://matplotlib.org/3.1.1/gallery/lines_bars_and_markers/marker_reference.html" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -11,9 +21,12 @@ "sys.path.append(\"../\")\n", "from triple_barrier.plots import PlotTripleBarrier\n", "from triple_barrier.triple_barrier import TradeSide\n", + "from triple_barrier.triple_barrier import BarrierHit\n", + "from triple_barrier.triple_barrier import BarrierType\n", "\n", "import pandas as pd\n", - "import mplfinance as mpl" + "import mplfinance as mpl\n", + "from datetime import datetime" ] }, { @@ -65,9 +78,6 @@ "metadata": {}, "outputs": [], "source": [ - "FROM = 500\n", - "PERIODS = 50\n", - "TO = FROM + PERIODS\n", "PIP_POSITION = 4\n", "PIP_FACTOR = 10**-PIP_POSITION" ] @@ -88,7 +98,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -98,7 +108,7 @@ } ], "source": [ - "mpl.plot(df[FROM:TO], type=\"candle\", figsize=(15,4), mav=(12,24), style=\"ibd\")" + "mpl.plot(df[0:200], type=\"candle\", figsize=(15,4), mav=(12,24), style=\"ibd\")" ] }, { @@ -114,42 +124,88 @@ "execution_count": 6, "id": "9d335f00-f490-4297-a13f-99af35b7e0c7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 50\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-03 20:30:00\n", + "Open price 1.05449\n", + "Stop loss 1.05499 (5) pips\n", + "Take profit 1.05249 (20) pips\n" + ] + } + ], "source": [ - "plot_tb = PlotTripleBarrier(df.open, \n", - " df.high,\n", - " df.low,\n", - " df.close,\n", - " 4)\n", - "\n", "open_period = \"2023-01-03 20:30:00\"\n", "time_barrier = \"2023-01-03 22:45:00\"\n", - "open_price = df.open[open_period]\n", "trade_side = TradeSide.SELL\n", - "\n", "stop_loss_width = 5\n", "take_profit_width = 20\n", - "\n", + "open_price = df.loc[open_period][\"open\"]\n", "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", - "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " PIP_POSITION)\n", + "\n", + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" + ] + }, + { + "cell_type": "markdown", + "id": "bd9e9ce6-7a8e-4187-baec-32b62e78a941", + "metadata": {}, + "source": [ + "### Long Cases" ] }, { "cell_type": "code", "execution_count": 7, - "id": "4b5e9c43-4230-468f-967b-0239d673c360", + "id": "eb20ed40-e3d5-4209-8b28-0254704f08b4", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Plotting barrier for 51\n" + "Plotting barrier for 50\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -161,18 +217,36 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-03 20:30:00\n", - "Open price 1.05449\n", - "Stop loss 1.05499 (5) pips\n", - "Take profit 1.05249 (20) pips\n" + "Open time 2023-01-02 22:30:00\n", + "Open price 1.06563\n", + "Stop loss 1.06463 (10) pips\n", + "Take profit 1.06713 (15) pips\n" ] } ], "source": [ + "open_period = \"2023-01-02 22:30:00\"\n", + "time_barrier = \"2023-01-03 01:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.BUY\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " PIP_POSITION)\n", + "\n", + "\n", "plot_tb.plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", + " periods_to_plot=50\n", " )\n", "\n", "print(\"Open time \", open_period)\n", @@ -183,26 +257,47 @@ }, { "cell_type": "markdown", - "id": "bd9e9ce6-7a8e-4187-baec-32b62e78a941", + "id": "64b4157f-7c31-4a52-9580-1eef0071a01e", "metadata": {}, "source": [ - "### Long Cases" + "### Plot with moving averages" ] }, { "cell_type": "code", "execution_count": 8, - "id": "eb20ed40-e3d5-4209-8b28-0254704f08b4", + "id": "e91e53c8-b8af-4d5c-bca3-b1b5494883e7", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 50\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-02 22:30:00\n", + "Open price 1.06563\n", + "Stop loss 1.06463 (10) pips\n", + "Take profit 1.06713 (15) pips\n" + ] + } + ], "source": [ - "plot_tb = PlotTripleBarrier(df.open, \n", - " df.high,\n", - " df.low,\n", - " df.close,\n", - " 4)\n", - "\n", - "\n", "open_period = \"2023-01-02 22:30:00\"\n", "time_barrier = \"2023-01-03 01:00:00\"\n", "open_price = df.open[open_period]\n", @@ -212,25 +307,54 @@ "take_profit_width = 15\n", "\n", "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", - "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " PIP_POSITION,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " periods_to_plot=50\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" + ] + }, + { + "cell_type": "markdown", + "id": "70ac9105-6e38-403d-8dfa-99be7d321d4d", + "metadata": {}, + "source": [ + "### Plot dynamic barrier between stop loss and take profit, long" ] }, { "cell_type": "code", "execution_count": 9, - "id": "6913a53d-4bd8-46c9-95d5-7d6035a7cf64", + "id": "c50b5792-828b-4718-a418-39930da5b8d7", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Plotting barrier for 51\n" + "Plotting barrier for 40\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -242,19 +366,43 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-02 22:30:00\n", - "Open price 1.06563\n", - "Stop loss 1.06463 (10) pips\n", - "Take profit 1.06713 (15) pips\n" + "Open time 2023-01-03 01:00:00\n", + "Open price 1.06728\n", + "Stop loss 1.06828 (10) pips\n", + "Take profit 1.06578 (15) pips\n" ] } ], "source": [ + "open_period = \"2023-01-03 01:00:00\"\n", + "time_barrier = \"2023-01-03 04:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.SELL\n", + "\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "mask = (df[\"close\"].shift(1) > df[\"mva-24\"].shift(1) ) & ( df[\"close\"] < df[\"mva-24\"] )\n", + "dynamic_close = df.loc[mask][open_period: ].head(1)[\"mva-24\"].values[0].round(PIP_POSITION+1)\n", + "\n", + "\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " PIP_POSITION,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", "plot_tb.plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", - " periods_to_plot=50\n", + " dynamic_exit_price=dynamic_close,\n", + " periods_to_plot=40\n", " )\n", "\n", "print(\"Open time \", open_period)\n", @@ -265,56 +413,126 @@ }, { "cell_type": "markdown", - "id": "64b4157f-7c31-4a52-9580-1eef0071a01e", + "id": "33fd9870-c957-4cf2-a841-de513878e39e", "metadata": {}, "source": [ - "### Plot with moving averages" + "### Plot dynamic barrier between stop loss and take profit, short" ] }, { "cell_type": "code", - "execution_count": 10, - "id": "e91e53c8-b8af-4d5c-bca3-b1b5494883e7", + "execution_count": 15, + "id": "5008b938-d897-4aa7-bbe2-34be83f0cb61", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 50\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-02 23:00:00\n", + "Open price 1.066\n", + "Stop loss 1.068 (20) pips\n", + "Take profit 1.062 (40) pips\n", + "Dymamic close price 1.06756\n" + ] + } + ], "source": [ + "open_period = \"2023-01-02 23:00:00\"\n", + "time_barrier = \"2023-01-03 01:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.SELL\n", + "\n", + "stop_loss_width = 20\n", + "take_profit_width = 40\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "mask = (df[\"close\"].shift(1) > df[\"mva-24\"].shift(1) ) & ( df[\"close\"] < df[\"mva-24\"] )\n", + "dynamic_close = df.loc[mask][open_period: ].head(1)[\"mva-24\"].values[0].round(PIP_POSITION+1)\n", + "\n", "plot_tb = PlotTripleBarrier(df.open, \n", " df.high,\n", " df.low,\n", " df.close,\n", - " 4,\n", + " PIP_POSITION,\n", " overlay_features=[ df[\"mva-7\"], \n", " df[\"mva-24\"]])\n", "\n", + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " dynamic_exit_price=dynamic_close,\n", + " periods_to_plot=50\n", + " )\n", "\n", - "open_period = \"2023-01-02 22:30:00\"\n", - "time_barrier = \"2023-01-03 01:00:00\"\n", - "open_price = df.open[open_period]\n", - "trade_side = TradeSide.BUY\n", - "\n", - "stop_loss_width = 10\n", - "take_profit_width = 15\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")\n", + "print(f\"Dymamic close price {dynamic_close}\")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "53acd5e9-f074-4508-adab-ed92926ddca1", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "id": "2071960b-0d5d-44aa-a2d0-d6f6d1b36592", + "metadata": {}, + "source": [ + "### Plot full triple barrier case: Dynamic barrier hit, between TP and SL, Long Trade" + ] + }, + { + "cell_type": "markdown", + "id": "49d51277-616b-4efa-ae7d-f644eef870ba", + "metadata": {}, + "source": [ + "Plots the hit on a dynamic barrier located between stop loss and take profit for a long trade\n", "\n", - "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", - "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)" + "This plots only the hit on the dynamic barrier, regardless that the first hit was on take profit" ] }, { "cell_type": "code", "execution_count": 11, - "id": "c1a19779-58eb-4f52-bdc2-661f04a3a99e", + "id": "8c8565f0-e9fd-4acf-83a7-4f98f15110cd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Plotting barrier for 51\n" + "Plotting barrier for 50\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -329,16 +547,46 @@ "Open time 2023-01-02 22:30:00\n", "Open price 1.06563\n", "Stop loss 1.06463 (10) pips\n", - "Take profit 1.06713 (15) pips\n" + "Take profit 1.06813 (25) pips\n" ] } ], "source": [ + "# prepare data\n", + "\n", + "open_period = \"2023-01-02 22:30:00\"\n", + "time_barrier = \"2023-01-03 2:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.BUY\n", + "stop_loss_width = 10\n", + "take_profit_width = 25\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "# calculate event attributes\n", + "mask = (df[open_period:][\"close\"].shift(1) > df[open_period:][\"mva-24\"].shift(1) ) & ( df[open_period:][\"close\"] < df[open_period:][\"mva-24\"] )\n", + "hit_level = df[open_period:][mask][\"mva-24\"].iloc[0].round(PIP_POSITION+1)\n", + "hit_datetime = df[open_period:][mask][open_period: ][\"mva-24\"].index[0]\n", + "barrier_hit = BarrierHit(level=hit_level, hit_datetime=hit_datetime, barrier_type=BarrierType.DYNAMIC)\n", + "\n", + "\n", + "# plot\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "\n", "plot_tb.plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", - " periods_to_plot=50\n", + " dynamic_exit_price=hit_level,\n", + " periods_to_plot=50,\n", + " closing_event=barrier_hit\n", " )\n", "\n", "print(\"Open time \", open_period)\n", @@ -349,39 +597,118 @@ }, { "cell_type": "markdown", - "id": "70ac9105-6e38-403d-8dfa-99be7d321d4d", + "id": "535429f6-b25d-45ce-b784-a1901a4c7149", "metadata": {}, "source": [ - "### Plot dynamoc barrier between stop loss and take profit" + "### Plot full triple barrier case: Dynamic barrier beyond TP and SL, Long Trade\n", + "\n", + "Plots the hit on a dynamic barrier located between stop loss and take profit for a long trade\n", + "\n", + "This plots only the hit on the dynamic barrier, regardless that the first hit was on take profit" ] }, { "cell_type": "code", "execution_count": 12, - "id": "1142d4b2-fe24-4a2c-90d3-3c38b61baeb2", + "id": "d46d301e-cef7-4ecb-b8d5-4556e66e47e6", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 150\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-01-09 12:00:00\n", + "Open price 1.07284\n", + "Stop loss 1.07184 (10) pips\n", + "Take profit 1.07434 (15) pips\n" + ] + } + ], "source": [ - "mask = (df[\"close\"].shift(1) < df[\"mva-24\"].shift(1) ) & ( df[\"close\"] > df[\"mva-24\"] )\n", - "dynamic_close = df.loc[mask][open_period: ].head(1)[\"mva-24\"].values[0].round(PIP_POSITION+1)" + "# prepare data\n", + "\n", + "open_period = \"2023-01-09 12:00:00\"\n", + "time_barrier = \"2023-01-09 17:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.BUY\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "# calculate event attributes\n", + "mask = (df[open_period:][\"close\"].shift(1) > df[open_period:][\"mva-24\"].shift(1) ) & ( df[open_period:][\"close\"] < df[open_period:][\"mva-24\"] )\n", + "hit_level = df[open_period:][mask][\"mva-24\"].iloc[0].round(PIP_POSITION+1)\n", + "hit_datetime = df[open_period:][mask][open_period: ][\"mva-24\"].index[0]\n", + "barrier_hit = BarrierHit(level=hit_level, hit_datetime=hit_datetime, barrier_type=BarrierType.DYNAMIC)\n", + "\n", + "\n", + "# plot\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "\n", + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " dynamic_exit_price=hit_level,\n", + " periods_to_plot=150,\n", + " closing_event=barrier_hit\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" + ] + }, + { + "cell_type": "markdown", + "id": "e47001ae-2c4e-43b7-8983-ab2c9ade0864", + "metadata": {}, + "source": [ + "### Plot full triple barrier case: Dynamic barrier hit, between TP and SL, Short Trade" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "c50b5792-828b-4718-a418-39930da5b8d7", + "execution_count": 19, + "id": "ba6fd6c1-f421-4494-a4e8-c01f4bb60fcd", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Plotting barrier for 51\n" + "Plotting barrier for 100\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -393,20 +720,49 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-02 22:30:00\n", - "Open price 1.06563\n", - "Stop loss 1.06463 (10) pips\n", - "Take profit 1.06713 (15) pips\n" + "Open time 2023-01-09 18:40:00\n", + "Open price 1.07333\n", + "Stop loss 1.07433 (10) pips\n", + "Take profit 1.07183 (15) pips\n" ] } ], "source": [ + "# prepare data\n", + "\n", + "open_period = \"2023-01-09 18:40:00\"\n", + "time_barrier = \"2023-01-09 23:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.SELL\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "# calculate event attributes\n", + "mask = (df[open_period:][\"close\"].shift(1) > df[open_period:][\"mva-24\"].shift(1) ) & ( df[open_period:][\"close\"] < df[open_period:][\"mva-24\"] )\n", + "hit_level = df[open_period:][mask][\"mva-24\"].iloc[0].round(PIP_POSITION+1)\n", + "hit_datetime = df[open_period:][mask][open_period: ][\"mva-24\"].index[0]\n", + "barrier_hit = BarrierHit(level=hit_level, hit_datetime=hit_datetime, barrier_type=BarrierType.DYNAMIC)\n", + "\n", + "\n", + "# plot\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "\n", "plot_tb.plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", - " dynamic_exit_price=dynamic_close,\n", - " periods_to_plot=50\n", + " dynamic_exit_price=hit_level,\n", + " periods_to_plot=100,\n", + " closing_event=barrier_hit\n", " )\n", "\n", "print(\"Open time \", open_period)\n", @@ -415,10 +771,198 @@ "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" ] }, + { + "cell_type": "markdown", + "id": "779472a6-b329-4867-a03f-d20cc8b37001", + "metadata": {}, + "source": [ + "### Plot full triple barrier case: Dynamic barrier hit, beyond TP and SL, Short Trade" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "94e86d09-d80a-4661-8fd5-9c7078176ada", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 100\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open time 2023-02-01 20:00:00\n", + "Open price 1.09898\n", + "Stop loss 1.09998 (10) pips\n", + "Take profit 1.09748 (15) pips\n", + "Time barrier 2023-02-02 04:00:00\n" + ] + } + ], + "source": [ + "# prepare data\n", + "\n", + "open_period = \"2023-02-01 20:00:00\"\n", + "time_barrier = \"2023-02-02 04:00:00\"\n", + "open_price = df.open[open_period]\n", + "trade_side = TradeSide.SELL\n", + "stop_loss_width = 10\n", + "take_profit_width = 15\n", + "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", + "\n", + "# calculate event attributes\n", + "mask = (df[open_period:][\"close\"].shift(1) < df[open_period:][\"mva-24\"].shift(1) ) & ( df[open_period:][\"close\"] > df[open_period:][\"mva-24\"] )\n", + "hit_level = df[open_period:][mask][\"mva-24\"].iloc[0].round(PIP_POSITION+1)\n", + "hit_datetime = df[open_period:][mask][open_period: ][\"mva-24\"].index[0]\n", + "barrier_hit = BarrierHit(level=hit_level, hit_datetime=hit_datetime, barrier_type=BarrierType.DYNAMIC)\n", + "\n", + "\n", + "# plot\n", + "plot_tb = PlotTripleBarrier(df.open, \n", + " df.high,\n", + " df.low,\n", + " df.close,\n", + " 4,\n", + " overlay_features=[ df[\"mva-7\"], \n", + " df[\"mva-24\"]])\n", + "\n", + "\n", + "plot_tb.plot(entry_period=open_period,\n", + " stop_loss_level=stop_loss,\n", + " take_profit_level=take_profit,\n", + " time_barrier_datetime=time_barrier,\n", + " dynamic_exit_price=hit_level,\n", + " periods_to_plot=100,\n", + " closing_event=barrier_hit\n", + " )\n", + "\n", + "print(\"Open time \", open_period)\n", + "print(\"Open price \", open_price)\n", + "print(f\"Stop loss {stop_loss} ({stop_loss_width}) pips\")\n", + "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")\n", + "print(f\"Time barrier {time_barrier}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "5cf15874-8c82-43da-b8c6-ae6589c34007", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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openhighlowclosevolumemva-7mva-24
date-time
2024-02-02 17:45:001.079321.079401.079301.07940422.211.0794091.079224
2024-02-02 17:50:001.079381.079531.079381.07951687.421.0794041.079252
\n", + "
" + ], + "text/plain": [ + " open high low close volume mva-7 \\\n", + "date-time \n", + "2024-02-02 17:45:00 1.07932 1.07940 1.07930 1.07940 422.21 1.079409 \n", + "2024-02-02 17:50:00 1.07938 1.07953 1.07938 1.07951 687.42 1.079404 \n", + "\n", + " mva-24 \n", + "date-time \n", + "2024-02-02 17:45:00 1.079224 \n", + "2024-02-02 17:50:00 1.079252 " + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.iloc[-2:]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "65a92221-4894-4c37-a635-5c2a76a8db8a", + "metadata": {}, + "outputs": [], + "source": [] + }, { "cell_type": "code", "execution_count": null, - "id": "34e5f548-65bc-475f-ace9-10fc3a546b2d", + "id": "8d91b4ba-ec50-4bfe-947f-023e2e35fbdf", "metadata": {}, "outputs": [], "source": [] diff --git a/requirements.txt b/requirements.txt index 3fcf897..f40f927 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,4 +2,5 @@ pytest==8.0.0 pandas==2.2.0 mplfinance==0.12.10b0 matplotlib==3.8.2 -pyarrow==15.0.0 \ No newline at end of file +pyarrow==15.0.0 +numpy==1.26.3 \ No newline at end of file diff --git a/tests/triple_barrier/unit/test_plots_happy_path.py b/tests/triple_barrier/unit/test_plots_happy_path.py index 0a30c0b..a14725e 100644 --- a/tests/triple_barrier/unit/test_plots_happy_path.py +++ b/tests/triple_barrier/unit/test_plots_happy_path.py @@ -27,12 +27,5 @@ def test_build_ohlc(self, prepare_price_data): assert (ohlc[constants.CLOSE] - df[constants.CLOSE]).sum() == 0 - def test_plot(self): - # load a predefined image from disk - # plot the image and store it into memory - - # compare loaded image with plotted one - - ... diff --git a/triple_barrier/plots.py b/triple_barrier/plots.py index 9622c87..44e05c8 100644 --- a/triple_barrier/plots.py +++ b/triple_barrier/plots.py @@ -1,6 +1,8 @@ # TODO: Move all this logic to a single file from datetime import datetime + +import numpy as np import pandas as pd import matplotlib.pyplot as plt @@ -57,7 +59,7 @@ def plot(self, ): date_from: datetime = pd.to_datetime(entry_period) - date_to: datetime = self.ohlc[entry_period:].index[periods_to_plot] + date_to: datetime = self.ohlc[entry_period:].index[periods_to_plot - 1] if len(self.ohlc[date_from: date_to]) == 0: raise ValueError("No data to process") @@ -77,28 +79,55 @@ def plot(self, plots.append(mpf.make_addplot(feature[date_from: date_to], type="line", marker="8", - label=feature.name) + label=feature.name, + width=0.5, + ) ) - # TODO: move this to a function and include dynamic barrier + if closing_event is not None: + plots.append( + self._add_closing_event_hit(date_from, date_to, closing_event) + ) + barrier_lines = self._build_barrier_lines(date_from, date_to, barrier) - mpf.plot(self.ohlc[date_from:date_to], - type="candle", figsize=(15, 4), - style="ibd", - alines=barrier_lines, - addplot=plots) + fig, ax = mpf.plot(self.ohlc[date_from:date_to], + type="candle", figsize=(15, 4), + style="ibd", + alines=barrier_lines, + addplot=plots, + returnfig=True) - # TODO: Plot the barrier hit + self._add_text(barrier, ax, date_from, date_to) plt.show() - # TODO: store bninary image in a file to compare with a stored one for testing purposes + # TODO: store binary image in a file to compare with a stored one for testing purposes + + def _add_closing_event_hit(self, + date_from: datetime, + date_to: datetime, + closing_event: BarrierHit) -> dict: + + # move this logic to a function that returns the make_addplot object + self.ohlc["temp-dynamic"] = np.nan + high = self.ohlc.loc[closing_event.hit_datetime, "high"] + ( + self.ohlc.loc[closing_event.hit_datetime, "high"] - + self.ohlc.loc[closing_event.hit_datetime, "low"]) * 1.05 + self.ohlc.loc[closing_event.hit_datetime, "temp-dynamic"] = high + + return mpf.make_addplot(self.ohlc[date_from: date_to]["temp-dynamic"], + type="scatter", + marker="v", + label="barrier hit", + markersize=75, + color="red" + ) @staticmethod def _build_barrier_lines(date_from: datetime, - date_to: datetime, - barrier: dict) -> dict: + date_to: datetime, + barrier: dict) -> dict: take_profit: float = barrier[constants.TAKE_PROFIT] stop_loss: float = barrier[constants.STOP_LOSS] @@ -106,27 +135,71 @@ def _build_barrier_lines(date_from: datetime, time_limit: datetime = barrier[constants.TIME_LIMIT] dynamic_close: float = barrier[constants.DYNAMIC_CLOSE] + top_line_level: float = max(take_profit, stop_loss, -float("inf") if dynamic_close is None else dynamic_close) + bottom_line_level: float = min(take_profit, stop_loss, float("inf") if dynamic_close is None else dynamic_close) + + take_profit_line: list[tuple, tuple] = [(date_from, take_profit), (time_limit, take_profit)] + stop_loss_line: list[tuple, tuple] = [(date_from, stop_loss), (time_limit, stop_loss)] + open_vertical_line: list[tuple, tuple] = [(date_from, bottom_line_level), (date_from, top_line_level)] + time_barrier_vertical_line: list[tuple, tuple] = [(time_limit, bottom_line_level), (time_limit, top_line_level)] + open_line: list[tuple, tuple] = [(date_from, open_price), (time_limit, open_price)] + barrier_lines = [ - [(date_from, take_profit), (time_limit, take_profit)], - [(date_from, stop_loss), (time_limit, stop_loss)], - [(date_from, stop_loss), (date_from, take_profit)], - [(time_limit, stop_loss), (time_limit, take_profit)], - [(date_from, open_price), (time_limit, open_price)], + take_profit_line, + stop_loss_line, + time_barrier_vertical_line, + open_vertical_line, + open_line ] if dynamic_close is not None: barrier_lines.append([(date_from, dynamic_close), (time_limit, dynamic_close)]) - colors: list = [] - if take_profit > stop_loss: - colors = ["g", "r", "b", "b", "black", "grey"] - - else: - colors = ["r", "g", "b", "b", "black", "grey"] + colors = ["g", "r", "b", "b", "black", "grey"] barrier_lines = dict(alines=barrier_lines, - linewidths=[0.5], + linewidths=[1.5], colors=colors, - linestyle=["-.", "-."], + linestyle=["--", "--"], alpha=0.5) return barrier_lines + + def _add_text(self, + barrier: dict, + axis: list, + date_from, + date_to): + + font = {"family": "serif", + "color": "black", + "weight": "normal", + "size": 10, + "backgroundcolor": "white" + } + + last_index: int = self.ohlc.index.get_loc(barrier[constants.TIME_LIMIT]) + time_limit_index = self.ohlc[date_from:date_to].index.get_loc(barrier[constants.TIME_LIMIT]) + 1 + axis[0].text(time_limit_index, + barrier[constants.OPEN_PRICE], + "open", + fontdict=font) + + font["color"] = "green" + axis[0].text(time_limit_index, + barrier[constants.TAKE_PROFIT], + "tp", + fontdict=font) + + font["color"] = "red" + axis[0].text(time_limit_index, + barrier[constants.STOP_LOSS], + "sl", + fontdict=font) + + if barrier[constants.DYNAMIC_CLOSE] is not None: + font["color"] = "grey" + axis[0].text(time_limit_index, + barrier[constants.DYNAMIC_CLOSE], + "dyb", + fontdict=font) + diff --git a/triple_barrier/triple_barrier.py b/triple_barrier/triple_barrier.py index 6a88f4e..386e443 100644 --- a/triple_barrier/triple_barrier.py +++ b/triple_barrier/triple_barrier.py @@ -43,6 +43,9 @@ def __init__(self, self.hit_datetime: datetime = hit_datetime self.barrier_type: BarrierType = barrier_type + def __str__(self): + return f"datetime: {self.hit_datetime}, level {self.level}, type {self.barrier_type.value}" + class MultiBarrierBuilder: From 88658477f5239e5bc9cf91d23e988bf654a112d1 Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Tue, 12 Mar 2024 14:40:04 -0300 Subject: [PATCH 3/6] WIP: Decoupling refactor Signed-off-by: marcello chiuminatto --- .gitignore | 3 +- docs/analyze_trades.ipynb | 501 ++++++++++++++++++ docs/test-cases-for-multibox-barrier.ipynb | 334 ++++++++++++ docs/test-triple-barrier-plotting.ipynb | 406 ++++---------- tests/triple_barrier/integration/conftest.py | 63 ++- .../test_triple_barrier_apply_happy_path.py | 201 +++---- tests/triple_barrier/unit/conftest.py | 40 +- .../unit/test_multibarrier_box_happy_path.py | 94 ++++ .../unit/test_plots_happy_path.py | 6 +- .../unit/test_stop_loss_error_path.py | 25 - .../unit/test_stop_loss_happy_path.py | 10 +- .../unit/test_take_profit_error_path.py | 25 - .../unit/test_take_profit_happy_path.py | 71 +-- .../unit/test_time_barrier_happy_path.py | 8 +- .../unit/test_triple_barrier_happy_path.py | 324 ++++++----- triple_barrier/multi_barrier_box.py | 141 +++++ triple_barrier/multi_barrier_types.py | 42 ++ triple_barrier/plots.py | 27 +- triple_barrier/triple_barrier.py | 197 ++----- 19 files changed, 1637 insertions(+), 881 deletions(-) create mode 100644 docs/analyze_trades.ipynb create mode 100644 docs/test-cases-for-multibox-barrier.ipynb create mode 100644 tests/triple_barrier/unit/test_multibarrier_box_happy_path.py delete mode 100644 tests/triple_barrier/unit/test_stop_loss_error_path.py delete mode 100644 tests/triple_barrier/unit/test_take_profit_error_path.py create mode 100644 triple_barrier/multi_barrier_box.py create mode 100644 triple_barrier/multi_barrier_types.py diff --git a/.gitignore b/.gitignore index 05d198b..4eca141 100644 --- a/.gitignore +++ b/.gitignore @@ -160,4 +160,5 @@ cython_debug/ .idea/ -tests/triple_barrier/integration/output/ \ No newline at end of file +tests/triple_barrier/integration/output/ +docs/.$models.drawio.dtmp \ No newline at end of file diff --git a/docs/analyze_trades.ipynb b/docs/analyze_trades.ipynb new file mode 100644 index 0000000..5212c3a --- /dev/null +++ b/docs/analyze_trades.ipynb @@ -0,0 +1,501 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1bf425de-8a72-4190-8cdf-b032df84fa16", + "metadata": {}, + "source": [ + "# Test Calculated Barriers" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a634436f-e905-4e67-bcbd-2b8de26cec13", + "metadata": {}, + "outputs": [], + "source": [ + "import pandas as pd" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "0bce1bf8-9b7a-4520-b09a-a022408979c5", + "metadata": {}, + "outputs": [], + "source": [ + "df = pd.read_parquet(\"../tests/triple_barrier/integration/output/base_case_short.parquet\")" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "4532d268-171f-4af9-923d-801a06662970", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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08:10:00 1.07997 2024-02-01 08:20:00 stop-loss -5.0 \n", + "2024-02-01 17:55:00 1.08720 2024-02-01 18:45:00 time-barrier -2.9 \n", + "2024-02-01 22:35:00 1.08739 2024-02-01 23:25:00 time-barrier -1.3 \n", + "2024-02-02 01:25:00 1.08756 2024-02-02 02:15:00 time-barrier -0.1 \n", + "2024-02-02 04:10:00 1.08834 2024-02-02 04:10:00 stop-loss -5.0 \n", + "\n", + "[1110 rows x 15 columns]" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "72ad4531-1cd0-45dc-a4af-362bfe8104da", + "metadata": {}, + "outputs": [], + "source": [ + "df[\"profit\"] = (df[\"close-price\"] - df[\"open\"])*10**4" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "a53e4f45-d6a2-4f5f-8627-3ab3b647089f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", 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openhighlowclosevolume
date-time
2023-01-02 00:00:001.070051.070131.069851.06986136.06
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openhighlowclosevolume
date-time
2023-01-02 02:05:001.070441.070511.069671.06993367.80
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2023-01-02 02:25:001.069391.069761.069391.0696173.61
\n", + "
" + ], + "text/plain": [ + " open high low close volume\n", + "date-time \n", + "2023-01-02 02:05:00 1.07044 1.07051 1.06967 1.06993 367.80\n", + "2023-01-02 02:10:00 1.06994 1.07005 1.06904 1.07001 259.76\n", + "2023-01-02 02:15:00 1.07001 1.07011 1.06997 1.07008 174.19\n", + "2023-01-02 02:20:00 1.07007 1.07010 1.06940 1.06940 189.48\n", + "2023-01-02 02:25:00 1.06939 1.06976 1.06939 1.06961 73.61" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df[\"2023-01-02 02:05:00\":].head()" + ] + }, + { + "cell_type": "markdown", + "id": "722b4776-2496-4438-9f29-99b942a54fa7", + "metadata": {}, + "source": [ + "## Long case with levels" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "1ecb234b-f94c-4adf-ac18-046b8df25312", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Open date 2023-01-02 02:05:00\n", + "Open price 1.07044\n", + "Take profit 1.09044\n", + "Stop loss 1.06044\n", + "Time limit 2023-01-02 03:05:00\n" + ] + } + ], + "source": [ + "open_date: datetime = pd.to_datetime(\"2023-01-02 02:05:00\")\n", + "open_price: float = df.loc[open_date][\"open\"]\n", + "trade_side: TradeSide = TradeSide.BUY\n", + "take_profit: float = 1.09044\n", + "stop_loss: float = 1.06044\n", + "time_limit: datetime = pd.to_datetime(\"2023-01-02 03:05:00\")\n", + "\n", + "print(\"Open date\", open_date)\n", + "print(\"Open price\", open_price)\n", + "print (\"Take profit\", take_profit)\n", + "print (\"Stop loss\", stop_loss)\n", + "print(\"Time limit\", time_limit)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4374978a-73e9-4a9f-abc1-3f1b8fadf00e", + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "64cc45b2-43ae-4afa-8390-b6d051268513", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/test-triple-barrier-plotting.ipynb b/docs/test-triple-barrier-plotting.ipynb index a217ffc..78261e6 100644 --- a/docs/test-triple-barrier-plotting.ipynb +++ b/docs/test-triple-barrier-plotting.ipynb @@ -13,11 +13,23 @@ { "cell_type": "code", "execution_count": 1, - "id": "6219d8f2-8eb5-4fe8-960f-6d48b937188f", + "id": "f8228b14-139d-4570-a597-4b8b706f5d82", "metadata": {}, "outputs": [], "source": [ "import sys\n", + "import pandas as pd\n", + "import mplfinance as mpl\n", + "from datetime import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6219d8f2-8eb5-4fe8-960f-6d48b937188f", + "metadata": {}, + "outputs": [], + "source": [ "sys.path.append(\"../\")\n", "from triple_barrier.plots import PlotTripleBarrier\n", "from triple_barrier.triple_barrier import TradeSide\n", @@ -39,7 +51,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "id": "18b5c111-678b-47c3-8b84-c003c5dd4b12", "metadata": {}, "outputs": [], @@ -62,18 +74,18 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "id": "ca503d80-7926-4b5a-a147-cd72033912e9", "metadata": {}, "outputs": [], "source": [ - "df[\"mva-7\"] = df[\"close\"].rolling(7).mean()\n", + "df[\"mva-12\"] = df[\"close\"].rolling(12).mean()\n", "df[\"mva-24\"] = df[\"close\"].rolling(24).mean()" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "id": "7c7b93d9-9b90-4232-a707-3b8167977d37", "metadata": {}, "outputs": [], @@ -92,7 +104,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "id": "5c7e697b-4d60-41f1-8964-4408ffe218cf", "metadata": {}, "outputs": [ @@ -121,7 +133,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 20, "id": "9d335f00-f490-4297-a13f-99af35b7e0c7", "metadata": {}, "outputs": [ @@ -129,12 +141,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "Plotting barrier for 50\n" + "Plotting barrier for 25\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -146,19 +158,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-03 20:30:00\n", - "Open price 1.05449\n", - "Stop loss 1.05499 (5) pips\n", - "Take profit 1.05249 (20) pips\n" + "Open time 2023-01-04 00:30:00\n", + "Open price 1.05681\n", + "Stop loss 1.05731 (5) pips\n", + "Take profit 1.05581 (10) pips\n" ] } ], "source": [ - "open_period = \"2023-01-03 20:30:00\"\n", - "time_barrier = \"2023-01-03 22:45:00\"\n", + "open_period = \"2023-01-04 00:30:00\"\n", + "time_barrier = \"2023-01-04 01:20:00\"\n", "trade_side = TradeSide.SELL\n", "stop_loss_width = 5\n", - "take_profit_width = 20\n", + "take_profit_width = 10\n", "open_price = df.loc[open_period][\"open\"]\n", "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", @@ -168,12 +180,15 @@ " df.high,\n", " df.low,\n", " df.close,\n", - " PIP_POSITION)\n", + " PIP_POSITION,\n", + " overlay_features=[ df[\"mva-12\"], \n", + " df[\"mva-24\"]])\n", "\n", - "plot_tb.plot(entry_period=open_period,\n", + "plot_tb._plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", + " periods_to_plot=25\n", " )\n", "\n", "print(\"Open time \", open_period)\n", @@ -182,6 +197,27 @@ "print(f\"Take profit {take_profit} ({take_profit_width}) pips\")" ] }, + { + "cell_type": "code", + "execution_count": 8, + "id": "6990495a-2ce7-43bc-9e13-381d1bd659a0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "1.05249" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df.loc[\"2023-01-03 20:30:00\"].open - 20*10**-4" + ] + }, { "cell_type": "markdown", "id": "bd9e9ce6-7a8e-4187-baec-32b62e78a941", @@ -192,7 +228,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "id": "eb20ed40-e3d5-4209-8b28-0254704f08b4", "metadata": {}, "outputs": [ @@ -205,7 +241,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -217,20 +253,20 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-02 22:30:00\n", - "Open price 1.06563\n", - "Stop loss 1.06463 (10) pips\n", - "Take profit 1.06713 (15) pips\n" + "Open time 2023-01-02 20:45:00\n", + "Open price 1.06709\n", + "Stop loss 1.06659 (5) pips\n", + "Take profit 1.06889 (18) pips\n" ] } ], "source": [ - "open_period = \"2023-01-02 22:30:00\"\n", - "time_barrier = \"2023-01-03 01:00:00\"\n", + "open_period = \"2023-01-02 20:45:00\"\n", + "time_barrier = \"2023-01-02 21:35:00\"\n", "open_price = df.open[open_period]\n", "trade_side = TradeSide.BUY\n", - "stop_loss_width = 10\n", - "take_profit_width = 15\n", + "stop_loss_width = 5\n", + "take_profit_width = 18\n", "stop_loss = round(open_price - trade_side.value * stop_loss_width*PIP_FACTOR, PIP_POSITION + 1)\n", "take_profit = round(open_price + trade_side.value * take_profit_width*PIP_FACTOR, PIP_POSITION + 1)\n", "\n", @@ -239,10 +275,12 @@ " df.high,\n", " df.low,\n", " df.close,\n", - " PIP_POSITION)\n", + " PIP_POSITION,\n", + " overlay_features=[ df[\"mva-12\"], \n", + " df[\"mva-24\"]])\n", "\n", "\n", - "plot_tb.plot(entry_period=open_period,\n", + "plot_tb._plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", @@ -265,9 +303,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "id": "e91e53c8-b8af-4d5c-bca3-b1b5494883e7", - "metadata": {}, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", @@ -278,7 +318,7 @@ }, { "data": { - "image/png": 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fP1+SdOLECX3yySdyOp1kAEHriy++0BVXXKFvvvlGAwYM0NChQzVixAhJ0vHjx/Xpp5/qoosuIgMISoWFhZo1a5ZGjx6tyMhIZWZmaseOHerevbs6deqk7du3q27duvQ/gtbbb7+tXbt2ac2aNerZs6ccDodCQ0M1YMAAMgDggsRwqJp5PB45HA7/7dzcXM2dO1ejRo3S+vXr9cknn+i5556zsEIgsMrLyxUS8tOiRK/Xq+PHj+u2227TunXrlJWVpbp166pFixYWVgkEzi9fByQpOztb9957r8aOHasePXooLy9P7du3t6hCIHB8Pp9sNpu8Xq+efvppeb1eJSUlSZKWL1+u9957Ty+++KK1RQIB5PV6Zbfb5fP5tGnTJu3Zs0cPPfSQJCklJUXbt2/XokWLLK4SAE7FnkPVzOFwqLy8XKtXr5YkNW7cWElJSWrcuLHat2+vnJwcffPNNxZXCQROSEiIfD6ff58Vm82mevXqqWPHjtqwYYMefPBBff/99xZXCQSOw+GQz+dTSkqKpIph0VVXXaX//Oc/GjdunDp16qSSkhKLqwSqX+VgyOPxaOXKlZo4caI+//xzTZ06VTk5OWrZsqWOHj2q/Px8q0sFAsLn88lut8vr9Wrx4sW64YYbNHToUP/9Xbp0kcfjUVFRkXVFAsBpMByqJu+9954yMzMlVZwyU6dOHf99devW1bZt2zRq1CgNGzZMMTExVpUJBMySJUv02muvyePxyGaz6ZJLLpFUMRySKlbRjRw5UtOmTVPXrl2tLBUIiDVr1mjdunUqLy+XzWbT5ZdfLumnYZEkhYeH68UXX1SXLl0srBSoft99951/xZDD4ZDT6ZTD4dCiRYsUEhKixYsX69FHH9Xdd9+tBg0aWF0uUO1+ngG73a7IyEhJ0sUXXyxJ2rx5s4YPH67bb79d4eHhFlYKAFXjtLJqMHz4cB07dkz/+9//dNNNN2nKlCmnHJOenq5GjRqpZ8+eFlQIBNZf/vIXFRYWqqysTNdee60mTJhwyjEvvPCCXC6XevXqVfMFAgE2ZswY5efny+PxqEWLFurSpYtuvPHGk06xPH78uL766iu1atXKv8ICCAYDBw7U1q1btXHjRrVs2fK0x33zzTf8gQxB6UwysHr1asXExPBZAMAFi5VD52nVqlXy+Xxavny5MjMz5Xa7tXv3bv/9X331lVasWKE777yTFwMEpYyMDF188cVKS0vT6tWr5Xa7lZGRoYMHD0qq2JQ3OTlZiYmJDIYQtOx2uyZMmKDU1FS1adNGO3fu1MaNGyVVZGDmzJm6+OKL1apVK0liMISgsW/fPrVs2VLTp0/X8OHDtX//fkkVp1NKFf0/ffp0SVJ0dLRldQKB8lsZ+PLLLzV37lwNHDiQzwIALmisHDpPBQUFKioqUrNmzeTz+TR+/Hjddddd6tChg6SKq3UcPHjQ/4EACDalpaUKDQ2V3W7XqlWr9OSTT+q6665TdHS0nn76adWtW1d79uzhahwISpWbTz///PMKDw/Xfffdp5KSEq1Zs0YHDhzQ5MmTJUlZWVlq06aNxdUCgXHkyBHVr19fixcvVkpKil5++WW1bt1apaWlcjqd2rt3r1q3bm11mUDA/FYGeA0AUBuE/PYhqMq0adPUsGFDxcTEaODAgZIq/hLcsGFD+Xw+ffTRR/roo480fPhwRUREWFwtUP0qM9CwYUMNGjRIUsV+Kh988IEiIiL0wAMPaMeOHerZsyeDIQSlKVOmyOFwqEWLFrr11ls1cuRINWjQQLfeeqvuuusu3Xnnndq2bZuuu+46PhQg6FT2f1xcnIYNGyZJuu+++yRJI0eO1PDhw5Wbm6uHH36YwRCC0tlkgNcAALUBp5Wdg9GjR2v37t1q27atFixYoA8++MB/X1hYmJ577jk9+uijatSokYVVAoHz8wy89NJLev/99yVJf/zjHxURESG3263s7Gw2HUXQWrBggT788EPdcccdevXVV/Xhhx/qkUceUWpqqubPn6+lS5fqu+++829ICgSTn/f/6tWrtWDBAv/Vl+677z517txZw4cPl8vlUmhoqMXVAtWPDAAIRgyHzlJ2drby8/O1dOlS9ezZU/369TvpcpRRUVHatGmTpkyZor59+1pYKRAYVWWguLjYf/+nn36qJ554QuPHj1fbtm0trBQInNjYWA0bNkxXX321Fi5cqH//+98qKChQSkqKGjVqpAMHDujxxx//1c15gdrq5/2fkpKinTt3avny5ZIqNl4/ceKE0tPTdcstt1hcKRAYZABAMGLPoXNw9OhR1atXT5L0yiuv6NChQ5owYYKKiopUXFyszz77TL/73e8srhIInNNloKCgQKGhofriiy8YDCGoZWZmaty4cXruued0/fXXKycnR/fcc4+eeOIJPgwg6P2y/7/++mslJCRo1KhRuu2221RcXKywsDBVvsVkA3YEGzIAIBixcugc1KtXz/+ffVRUlCIjI5Wdna2hQ4eqfv36DIYQ9E6XgQceeEAnTpxgMISg16NHD02ePFljxozRli1b1LRpU40cOVL5+flWlwYE3C/7v0mTJkpMTNSxY8ckVZxiL1V8IOZDMYIRGQAQjNiQ+hxV/kfftm1bzZ49W2+++aYeeeQRNp+GMU6XAfYZgikqVwiNGzdOgwcP1ty5c/XKK69YXBVQM+h/mI4MAAg2nFZ2nvbu3SuXy6X169erd+/eVpcD1DgyANPt3r1bHo9HHo9H1157rdXlADWK/ofpyACAYMFw6FdkZmbK5XIpLCxMISGnX2SVl5enuLg4+Xw+lo4iqJABmG7lypWKj49XVFSUYmJirC4HqFH0P0xHBgCYhOHQaYwcOVI5OTlq0KCB7r//ft1www3yeDxyOBz+Y8rLyxUSEiKv1yu73c4HYwQVMgDTjR49Wnv37lXHjh3Vo0ePKq9ASc8jWNH/MB0ZAGAaNqSuwuLFi/Xtt9/q9ddf1y233KKUlBRJ8n8oXr9+vbKysvwrKez2iqeRFwcECzIA061Zs0YHDx7U22+/rYEDB2r9+vXKycnR119/LUn673//K7fbTc8jKNH/MB0ZAGAihkNVuP766zV79mxJ0qBBgxQWFnbSFWiOHz+uSZMmqaioyKoSgYAiAzBdnz59lJqaKknKysrSG2+8oXnz5ik5OVlHjhxRYWGhxo4dy9XJEJTof5iODAAwEVcr+5n09HSVl5fr9ttv96+Q8Hg8ysnJUVlZmXbu3KkffvhB/fv3V/PmzRUeHm5xxUD1IgMwXXp6ukpLSzV48GCFhoaqrKxMderU0QcffKCQkBDNnTtXZWVlGjBggFwuF1fnQ1Ch/2E6MgDAZOw59KNHH31Uhw4dUpMmTVRYWKghQ4bommuuUVhYmKZOnaqmTZvq5Zdf1vTp09WzZ0//93GuMYIFGYDpqspA165d5XQ6JUk7duzQI488opSUFLVp08b/fWQAwYD+h+nIAADTsXLoR5deeqn++te/qkWLFlq2bJkyMjJUp04ddenSRfn5+Zo/f76WLVt20odiiT1WEDzIAEz3ywxs2LDBnwG3262HH35YkydPPulDgUQGEBzof5iODAAwHXsO/ai8vFxLly6VJN1999266qqrNHv2bPl8PvXu3Vtr1qzRTTfdZHGVQOCQAZjulxlo3ry55s2bJ5/Pp9DQUM2fP18333yzxVUCgUH/w3RkAIDpOK3sRyUlJbrjjjt0zTXXaMqUKZKkv/3tb7r//vvVuXNni6sDAo8MwHRVZSAxMVEJCQnq2rWrxdUBgUX/w3RkAIDpWDkk+TebS09P165duzRp0iQtWbJE27dvV/369a0uDwg4MgDTnS4D27ZtU0REhNXlAQFF/8N0ZAAADF055PF4/FdiqlS5mVxpaan+9a9/qbi4WJdffrn+8Ic/WFQlEDhkAKYjAzAZ/Q/TkQEAOJVxwyGv1yu73S6v16uRI0eqVatWGjhwoOLi4qwuDagRZACmIwMwGf0P05EBAKiaccMhqeIvA5MmTZLH49GJEycUHR2t2267Ta1atbK6NKBGkAGYjgzAZPQ/TEcGAOBURu45NHPmTH366acaP368nnnmGdntdqWnp2vv3r1WlwbUCDIA05EBmIz+h+nIAACcyojhUFlZ2Um3Bw8erMjISL322mtyOBxKTEyU3W6X0+m0qEIgsMgATEcGYDL6H6YjAwDw24w5rezEiRMaMWKEGjVqpG7duun666/XxIkT1blzZ40YMcJ//jEQrMgATEcGYDL6H6YjAwDw64L6f8C0tDSNHj1akvTYY4/p6quvVr9+/ZSYmKitW7dq2rRpyszMVG5uLi8GCEpkAKYjAzAZ/Q/TkQEAOHNBvXLo8OHDmjlzpgoKCjRw4ED16dNHf/rTn9S9e3ctWrRICxYs0E033aSLLrrI6lKBgCADMB0ZgMnof5iODADAmQuxuoBAio2N1fjx4zVnzhxlZmaqvLxcAwYM0IMPPqivv/5a9erV48UAQY0MwHRkACaj/2E6MgAAZy6oVw5V+vbbbzVr1ixt2bJF+fn5ioqK0sSJE9W7d2/5fD7ZbDarSwQCigzAdGQAJqP/YToyAAC/zYjhkFSxrHTp0qXavHmzZs6cqebNm/NiAKOQAZiODMBk9D9MRwYA4NcZs/NabGys7rnnHrVp00Y5OTmSxIsBjEIGYDoyAJPR/zAdGQCAX2fMcEiqeFG46KKLdODAAatLASxBBmA6MgCT0f8wHRkAgNMzajjk9XoVExOjXr16WV0KYAkyANORAZiM/ofpyAAAnJ4xew5V8nq9stuNmokBJyEDMB0ZgMnof5iODABA1YwbDgEAAAAAAOAnjM0BAAAAAAAMxnAIAAAAAADAYAyHAAAAAAAADMZwCAAAAAAAwGAMhwAAAAAAAAzGcAgAAAAAAMBgDIcAAAAAAAAMxnAIAAAAAADAYP8Pf0NFxOEKNqsAAAAASUVORK5CYII=", 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", "text/plain": [ "
" ] @@ -315,10 +355,10 @@ " df.low,\n", " df.close,\n", " PIP_POSITION,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", - "plot_tb.plot(entry_period=open_period,\n", + "plot_tb._plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", @@ -341,35 +381,19 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "id": "c50b5792-828b-4718-a418-39930da5b8d7", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 40\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-01-03 01:00:00\n", - "Open price 1.06728\n", - "Stop loss 1.06828 (10) pips\n", - "Take profit 1.06578 (15) pips\n" + "ename": "AttributeError", + "evalue": "'PlotTripleBarrier' object has no attribute 'plot'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mAttributeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[11], line 24\u001b[0m\n\u001b[1;32m 13\u001b[0m dynamic_close \u001b[38;5;241m=\u001b[39m df\u001b[38;5;241m.\u001b[39mloc[mask][open_period: ]\u001b[38;5;241m.\u001b[39mhead(\u001b[38;5;241m1\u001b[39m)[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmva-24\u001b[39m\u001b[38;5;124m\"\u001b[39m]\u001b[38;5;241m.\u001b[39mvalues[\u001b[38;5;241m0\u001b[39m]\u001b[38;5;241m.\u001b[39mround(PIP_POSITION\u001b[38;5;241m+\u001b[39m\u001b[38;5;241m1\u001b[39m)\n\u001b[1;32m 16\u001b[0m plot_tb \u001b[38;5;241m=\u001b[39m PlotTripleBarrier(df\u001b[38;5;241m.\u001b[39mopen, \n\u001b[1;32m 17\u001b[0m df\u001b[38;5;241m.\u001b[39mhigh,\n\u001b[1;32m 18\u001b[0m df\u001b[38;5;241m.\u001b[39mlow,\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 21\u001b[0m overlay_features\u001b[38;5;241m=\u001b[39m[ df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmva-12\u001b[39m\u001b[38;5;124m\"\u001b[39m], \n\u001b[1;32m 22\u001b[0m df[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmva-24\u001b[39m\u001b[38;5;124m\"\u001b[39m]])\n\u001b[0;32m---> 24\u001b[0m \u001b[43mplot_tb\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mplot\u001b[49m(entry_period\u001b[38;5;241m=\u001b[39mopen_period,\n\u001b[1;32m 25\u001b[0m stop_loss_level\u001b[38;5;241m=\u001b[39mstop_loss,\n\u001b[1;32m 26\u001b[0m take_profit_level\u001b[38;5;241m=\u001b[39mtake_profit,\n\u001b[1;32m 27\u001b[0m time_barrier_datetime\u001b[38;5;241m=\u001b[39mtime_barrier,\n\u001b[1;32m 28\u001b[0m dynamic_exit_price\u001b[38;5;241m=\u001b[39mdynamic_close,\n\u001b[1;32m 29\u001b[0m periods_to_plot\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m40\u001b[39m\n\u001b[1;32m 30\u001b[0m )\n\u001b[1;32m 32\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOpen time \u001b[39m\u001b[38;5;124m\"\u001b[39m, open_period)\n\u001b[1;32m 33\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mOpen price \u001b[39m\u001b[38;5;124m\"\u001b[39m, open_price)\n", + "\u001b[0;31mAttributeError\u001b[0m: 'PlotTripleBarrier' object has no attribute 'plot'" ] } ], @@ -394,10 +418,10 @@ " df.low,\n", " df.close,\n", " PIP_POSITION,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", - "plot_tb.plot(entry_period=open_period,\n", + "plot_tb._plot(entry_period=open_period,\n", " stop_loss_level=stop_loss,\n", " take_profit_level=take_profit,\n", " time_barrier_datetime=time_barrier,\n", @@ -421,39 +445,10 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": null, "id": "5008b938-d897-4aa7-bbe2-34be83f0cb61", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 50\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-01-02 23:00:00\n", - "Open price 1.066\n", - "Stop loss 1.068 (20) pips\n", - "Take profit 1.062 (40) pips\n", - "Dymamic close price 1.06756\n" - ] - } - ], + "outputs": [], "source": [ "open_period = \"2023-01-02 23:00:00\"\n", "time_barrier = \"2023-01-03 01:00:00\"\n", @@ -473,7 +468,7 @@ " df.low,\n", " df.close,\n", " PIP_POSITION,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", "plot_tb.plot(entry_period=open_period,\n", @@ -519,38 +514,10 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "8c8565f0-e9fd-4acf-83a7-4f98f15110cd", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 50\n" - ] - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-01-02 22:30:00\n", - "Open price 1.06563\n", - "Stop loss 1.06463 (10) pips\n", - "Take profit 1.06813 (25) pips\n" - ] - } - ], + "outputs": [], "source": [ "# prepare data\n", "\n", @@ -576,7 +543,7 @@ " df.low,\n", " df.close,\n", " 4,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", "\n", @@ -609,38 +576,10 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": null, "id": "d46d301e-cef7-4ecb-b8d5-4556e66e47e6", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 150\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-01-09 12:00:00\n", - "Open price 1.07284\n", - "Stop loss 1.07184 (10) pips\n", - "Take profit 1.07434 (15) pips\n" - ] - } - ], + "outputs": [], "source": [ "# prepare data\n", "\n", @@ -666,7 +605,7 @@ " df.low,\n", " df.close,\n", " 4,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", "\n", @@ -695,38 +634,10 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": null, "id": "ba6fd6c1-f421-4494-a4e8-c01f4bb60fcd", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 100\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-01-09 18:40:00\n", - "Open price 1.07333\n", - "Stop loss 1.07433 (10) pips\n", - "Take profit 1.07183 (15) pips\n" - ] - } - ], + "outputs": [], "source": [ "# prepare data\n", "\n", @@ -752,7 +663,7 @@ " df.low,\n", " df.close,\n", " 4,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", "\n", @@ -781,39 +692,10 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": null, "id": "94e86d09-d80a-4661-8fd5-9c7078176ada", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Plotting barrier for 100\n" - ] - }, - { - "data": { - "image/png": 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9q/xNeHg48fHxNbZL81ARaBEREREREZFW7tprr2XdunVMmTKF0NDQiu2DBg3ikUce4aGHHqJ///68/vrrHhVtfuGFF7Db7dx222107Nix4nbnnXc25WlII2gEkIiIiIiIiEgLsWzZshrbMjMza2wzzaoLDN16663ceuutte7zrrvu4q677qqybcaMGQ2O42RO5W/EezQCSERERERERESkldMIIBERERERD4yafIDCohNX1CPCDVYs7lhn+9yXNhN3Y5/mCE1EROSkNAJIRERERMQDhUUmpknFrXIyqDa5L29ppshEREROTiOARERERES8aOfERTiLbGBCxpiFWMID6f7pRb4OS0RE2jglgETEb2iovIiItBUVSaJKlCjy3DPzCvj19ZG+DkNEpEVRAkhEfK7yldLc/2wG9CZYRERaLvfrV8bY90n9ZkqtbdyvezW2iUeeUwJIRKTBlAASkSZTuVimaUL/8Vm1Fsys8ibYrLRNREREpBE0ulhE5AQlgJqI+4Ov+0MvnHylCJHm0JxvhNx9wM2TgpnSym3bBnl5nrePjoaePZsuHhERaVE8fY9dfXSxRhaLiCgB1GQqf/B1f9UHX/EHuS9v0ZUw8Y39+6FXr4b/3b590KmT9+MREZEWx9P32NVHF/vjyGKNThKR5qZl4H0sItzAMFzfG4brZ5GW5Jl5Bb4OQVqKpCQ47TSwePjSY7HA0KGuvxMRaYHibujt6xDEj+W+vMXXIcip2rYNfvzR89u2bV49/Lhx45g1a5ZX93kyhmHwwQcfeH2/6enpDB48uN42vjjf1kojgHzMPVx14NlZrP9CH3KkcXyxIkZ9RRgjwo0qNYCU5GzjDAP+9je44ALP2judrvaGnjMi0jLVN7rDEh5Y6ypg1eW+tNmVKHCaYHH9P4y7oXeNfVdfVUxTnkSaSBsd0XzgwAFiY2N9cuyFCxcSGHji/2PXrl2ZNWuWkkKnQAkgkVakOVfEqD4Hv7b595V/VpJTADjvPNcooHXrwOGou53VCoMHw6RJzRaaiEhz8jQ5E3djH+Ju7FPvimJQc1Uxf5zyJNIquEc0r13rulh1MhYLDBni9yOaTdPE4XAQEFA1RVBeXk5QUBAdOnSoaHcq3Ps5FXFxcaf0d1KTpoCJyCmpPgdfNa7EI+5RQPUlf8D1e43+ERHxusMFZXz28yE+Wn+AZVuzWb07ly0H89mbW8zRonLK7R58oBVpy9zvZTxJ/kCTjWi22+3cfvvtREdHk5CQwJ/+9KcqyZlXX32VYcOGERkZSYcOHZg2bRrZ2dkVv1+2bBmGYfDxxx8zdOhQgoOD+fbbbxk3bhy33347s2bNIiEhgUnHL8ZVnwK2d+9errzySmJiYoiLi+OSSy4hMzOz4vczZ87k0ksv5e9//ztJSUn0OsmoqVdffZWuXbsSHR3N1VdfTUHBiTITlaeAjRs3jt27d3PXXXdhGAaG3is2iEYAiUizuKWZp6aJHzvZKCCN/hER8Qqn02R7diGrdx9l1e5ccgrLSQgPYkiXWEIDreQUllFYZqfo+K2wzEFRmR378Q+2DqdJfEQwo7rHM7pHPJ1iQn18RiJ+wg9GNM+bN4+bbrqJlStXsmrVKn71q1/RuXNnfvnLXwJgs9n461//Sq9evcjOzubuu+9m5syZLFmypMp+7rvvPv7973/TvXv3iile8+bN49Zbb2X58uW1Httms3HeeecxevRovvnmGwICAvjb3/7Geeedx/r16ytG+nz++edERUXx2Wef1XsuO3bs4IMPPmDx4sUcPXqUK6+8kgcffJC///3vNdouXLiQQYMG8atf/ariXMVzSgCJyClx1/fxtLZPc9cmEj92slpAGv0jIs3MPa25stqmNvszE8gPgF3hBhujLWyLMAia9yNp7SMY2iWO+87vTfvIkAbvNzu/lO93HuHJz7dzIK+UjtEhjO4Rz+ju8bSPavj+RFoFT+saNuF7mpSUFB599FEMw6BXr15s2LCBRx99tCIpcuONN1a07d69O0888QTDhw+nsLCQiIiIit898MADnHvuuVX2nZaWxj//+c86j/3222/jdDqZO3duxQicl19+mZiYGJYtW8bEiRMBCA8PZ+7cuSed+uV0OnnllVeIjHR9XpgxYwaff/55rQmguLg4rFZrxcgmaRglgERauMpvWuurx3Mq+4NioPY3wSpgLo1S15Uzjf4RER+oPK258rbqKi9u4P65ORWU2tibW8K+o8XsPVrC3txiso6V4HCaFPUNINIOXYpMBh1zcuU+k75zRzT6mO2jQrhkcCcuGewqXpt1rITvdxzhX59s5VBBGSmxoYzuEc/IbvG0iwxu9PFEWgwfj2geNWpUlelPo0eP5uGHH8bhcGC1Wlm9ejXp6emsW7eOo0eP4jw+sm/Pnj307du34u+GDRtWY99Dhw6t99jr168nIyOjImHjVlpayo4dOyp+HjBggEd1f7p27VplXx07dqwyXU28RwkgP6HpMVKf+lb3qv6mta56PBWrg5iQMWYhUPsKIZ6+CRZplLqunGn0j4j4seYeEVRUZmfZ1sN8+vNBcs6NJv79jaTEhZISG0avxEgm9GlPx+hQggIsZLy4sEoRaJro32hSTCiXD03m8qHJAOzNLeb7HUeY8/FmcgrLSYkNZWT3eEZ1i2uzI4R8sSqr+IAfj2guKipi0qRJTJo0iddff5127dqxZ88eJk2aRHl5eZW24eHhNf6+tm2VFRYWMnToUF5//fUav2vXrp3H+3GrvMIXuOoNOT2tsSQNogSQn9CLhNTHG6t7VVkdxKy0rZGUvJRTVv3KmUb/iIiQX2rj882HWPpzNuUOJ+N6teOPF/al3dXNP7rmZIkM98Wl04DTjm/Ljg1kf3oMD/1vK4cLy+gUE8Ko7q4RQh2iW3dCqPIKqc+84ipgW9so6uoX5Wq7INdQuS9tJu7GPo3ah5wCH45o/uGHH6r8vGLFCtLS0rBarWzZsoUjR47w4IMPkpKSAsCqVau8duwhQ4bwzjvv0L59e6Kiory2X08FBQXhONmCIlIrJYBEpFGUvJRTVv3KmUb/iEgblVtUzmc/H+SLLdlYDIOze7fn71P6ExN2aksmN5aniYzqS88DtD9q4/RhKUwd5vrQue9oMT/szOXhT7dyYMsRglMiSYkLo2diJGmJEaS1j2jUeZqGEzPIzqasPI4V28gtKudYcTkZna3kB0CZxSDQCYGmSbv/bSHIaiEowEKQ1UKg1SAowEqg1cCx/CDtJ3UmLCiAsCBrpa+u74MCTiyebJom5Q4nZXYnZTYnZXYHZXYneWYRZrgJmGBaMJwG+XYLB/NKCQ6wEBxoITjAWuOinDcuyOW+vEUJIF/w4YjmPXv2cPfdd3PzzTfz008/8eSTT/Lwww8D0LlzZ4KCgnjyySe55ZZb2LhxI3/961+9duxp06bxyCOPcMkll/DAAw+QnJzM7t27WbhwIffccw/JycleO1Ztunbtytdff83VV19NcHAwCQkJTXq81kQJIBFptXQ1rAVwXzn76ScYOrTVj/7RtAARcSu1Ofhk00EWrz9AUICFiX0T+ffUQUSGBJ78j5tY5eng7q+1TQe3hAeeSGYYJ7ZVlhwbRvnvP2fQ8XYO4xjZcYGUPDiclbtyWfDDHo4Vl2MxDFLiwujeLpyvV5QyZHBArauTlfQsrZp0Mi0Y9gD+t7GM2LAg4sKDSIkLIy7XSZTNJNgBNgvYLAZJQzpRbndS7nC6vtqd2I5/n/lVFvaR7Skpd1BUbq/4WlzuoKTcgc3hxGmCw24jIDDQldAJsB7/aiEk0Io9thichuvOMJxgMcHi5KkvC48nilzJovy+AZXvMgDC57lGZ4QGWYkIthIeFEB4cACRIQH07xTNkM4xBAdYvfHwirf5aETzddddR0lJCSNGjMBqtXLnnXfyq1/9CnBNw3rllVe4//77eeKJJzjttNP497//zcUXX+yVY4eFhfHVV19x3333cdlll1FQUECnTp0455xzmmVE0AMPPMDNN99Mjx49KCsrw6xev0LqZJge3Fv5+flER0eTl5fnkyFezck0TfLy8oiOjq5SVKuh+o/PqlFHxTBg45cNL5abMWZhjasrGJC6/LJTjk9alvoKLXv6XPP0eeTN567bpqw8sgvKqrzRcn8td5gceHI9dgPKLWA3TrxRC53cxdXO4aTcfvyKGhAcaGVgp2iGdI5lQKdoQoNqf0OUMfZ9Ur+ZcspxSzP55BO48EJYsgSOrxrhL7z1muCmounSEnm7H/ijpnjtq8vPWfm89eMedh0p5rx+HbhoUEevJH1qvM6f5L1ifQnpht4fJ3u99SQ2h9Nk/9ESduQUctt9ubz6WHvCgwMIDwogItiVDAkKsJz6+56T3B+evGcwTZNHX8jhrl8l1NoXGhubaZqU2BwUltkpLLVTVOYgv9TGd+9vY2v7QMBgaJdYxqTG0y8pGqvlRAwZY98j9bNzobzo+K3Q9dVWfOL78iKKv88kbHA02EvBXu766igDe9nx7+1QIz3VAO77pbaPmBYrBEVAUDgEhVX6Ptz1fUwXSBoCAc038q20tJRdu3bRrVs3QkIaMUXx44+rjgL6+GNXYqgVMk2zotC0P78m1PfYtqX8RnUaASQiTWbboQIe/WwbiVEh9GgfQbDVQmCAQXCAlYjjb+SCrBbi8p0EOiDQhEAnBJgmQSaknd+boAALgVZXO8vxNzoFpTY27Mvjx8xcXl6+ixKbg04xoQxOiWFI51i6J4RXtJUWYNIkyM6GuDhfRyIi0iTySmx8uC6Lz34+RI924VwzsjO9O/j2Q4c36gt6qvpIoeqjhADGXHywYpSRYUZx/czSRq1q6skxK2rxQL31eKqvuPrSmwdqjc29SpxpnsiDVFkpzlYCRTkER2ZiDSzAEliMYS3DYi2Fr3di2IoJKy8irLyI9uVFroSM6WRw5kHCO3XE4XSSt91G7jobG0ptWC0QExZMXFggHQYegY/+VzWhUvn7kGiISiJ3aR5hV54LASFgDXJ9DQh23azBYA1sumlLDjvYimomqdzf7/oKvn3UdfxOQ6Hr2GZPCJ2yNjaiWVouJYBExOsO5Zfy2NJtlNtN7r+gDylxYfW2z8g3ax2dFB9Re8HLyJBATk9N4PRU13xf0zTZd7SEtXuP8cbKPew8XIjVYiGkh5Xun22jXUQQCRHBxEcEkxARREJkMJHBAX591aLNUfJHRFoZ0zT5YVcu76zaR36pjYsHJfHidUPb5DQed0KlOUfmenLMGjWM6qjHU+eKq/YyKDp8/JbDir9mQ9Fh5r2cyfWTS6E0z9V4wfE/DAyBsATC22XjKI/EYQvDWR6B3RkP3c5yjYoJdI+MCYOAULBYOPDs+6Q+PQUrEHf8Bq4LYit35bI84wibbDuILOxQKWoDMAm0WggNtBISZCU00EppdG86b48iMiSQyJAAIkICiAqxEBEMkSEOIkMMwoMCmuZCmjUArNGuZFR97GWwf3XLSggZBvzjH64Rzf/4h+oZit9SAkhEvKag1MYLX+9k84ECZk1Io3+nk7zAn6Lqw9aN43UDUuLCuGiQa5i1zeFk9fy9RPRNJKewjJzCcnbvOUpOQRk5hWUUltkB1/uyy4cmc16/Dho1JNLCqcaS+INSm4OFP+3now1ZDO0Sx6wJaSe9EOJvTjqSpQlUHk1T33TZpozNsJRhDS6ErLVQnAPFuVCUw2+6ZhIbeJTYwKMEGq4EkYkB70VCeDuIaA/hCa7v47rx3sHhXD+pD4TEgMVS4zjHHl9Uc3RSyvAGxxsZEsg5fRI5p08iGf/cSuoLVfdhmiY2h2taWenx25YntxGTEkNBqZ3CMjv7covJP/59QamNglJX3aWKGlBAWJCVhIhg2kUGEx/uuqiWEBlMYlQw739g9/7/3YBg6HK66wa1JIQskDICup8FHQa6ppb5A41obrWmTJnCsmXLOOecc3j33Xdr/P62227j3XffJSUlpcpqazt27OCqq67i2LFjTJgwgWeffRbDMPi///s/Fi1aRFBQEMOHD+eFF14gIKB5UjNKAIlIo9kcTt5YuYdPNx3il2d25+5zezbp6BpPhq0HWi0klEPqSZJQJeUOXluxm+teWsmM0V2Y2DdRI4NEWqjmnNIiUl12QSmvfb+bNXuPMWVIJ16eOaLKylH+oPpUpv7js2qdyuT+2dO6ZXE39PZ+sHVwx1Zvwtc0ofgI5O8nLG49bHBAyVEoPQYlx2+lx+g4eF+VEUBOZyAOWyRszYGweAiPh8S+fHK4D7nlsRyzxWAzXaNPDAM2PlX7fZNZkgVhdScB3KOT6luswtPpadWXlAcq2hmGQVCAQVCABccbGRS8vIUeDhOu/5p4XI9b9eNXOe7xfSUuOp8jheUcLnRdRDtUUMrPB/LJOlbCOyuO4UzpyOSBSXRNCK/znBulekLIVgJ7V8LmRfDlP1yjprqMcSWEEnr6dvRNG0n+tLX3ynfeeSc33ngj8+bNq/X306ZN48Ybb+Tmm2+usv3ee+8lPT2dyZMnc8UVV/DRRx8xefJkJk2axIMPPojVamX69OnMnz+fG2+8sTlOpWEJINM0W32Fbfc5NtV5enO/rf2xkKoa+nh72r4x7UzT5H+bDvLaij1cNqQTr9wwvKIgoTeen/Xtw1vnFxJo4Rdju3HNiBTmf7+b61bsZubpXRnfq12be3GTmpriNUH/u5uW7l/va+r3Rv7Mk3PeerCAl5bvIr/UznWjujBrQlrF64ev77Pqx69rKlNjX29jb+jdLO87KpQc49YJuzA374f8rBO3sjwqiheHxUNUEoFh2ZhmH1eB4dDBEBrjGpkTEs2BJxfXOgU9elzVKWPbig7UWtO4Oe+3huy3tnaxN/Qm9obe7DjzA3p8fWmd7apPi3MW2QgLshIWF0pKXGiN43z0dBandQ7m+a93sP9oCWekJXDhgI4kxdRs6zUBIdDtTNcNXFPt9nwPq16GnG2uxF23s6DXha7Hux7u828p/+P84b2pYRhYra5RV/58n9X32Lp/zs/Pr7I9ODiY4OCaJSjGjRvHsmXL6jzWmDFjyMzMrHGM7777jnfeeQeA6dOns2jRIiZPnsy5555b0W7YsGHs37/f4/NqrAYlgPLy8vz6QfYG0zQpLCwEmqaD5eXl+c2+ihfsImxaNy9FI02toY+3p+1PpZ1pmizfeYwFq7IY1jmaRy5NIyTQSmFBfj17aLj6YvMobtOzdu6+MG1IAhf3jeGNVQd46ZsMrh2exOiuMX7xYiu+0RSvCd58HWjpXnrLxo1XeXfJa92/3tfU7438WV3PJ9M0+X7XMd5Zc5CEiCCuHdaRrvGuaV7VP1A0FyMsALPYXuXnxr4XmHlVoFf7VNg1XT3cn0n+gZ1YjmViyduN9VgmlmOZGOWu56EZEo0zqjPOqCScER1xJgzBGdERgmuOCMrb+yWBncdX3WgHCotr3GdQ+/0WHgZFxccjM00MwyA8zAvvU+oR9/bYiu9zJn9JwuLxte7X3a5ym3qP7+F7o8rqa29g0DchgL5nd8bmcPJDZh4PfrSJoyU2zugey7m94wn97/6m/8yRONp1A4ziHAL2fEPgwlvBsGBLuxBb93NciaNqysvLcTqd2O12HA5H08bYCJWTLv7EMAwcDodf5gjsdjtOp5PCwkLKysqq/M79fzolJaXK9tmzZ5Oenu6V4x85coS4uLiK181OnTrVSPTY7XYWLFjAU0895ZVjeqJBCaDo6OhWv0ya+8nb+KVOi2vdGh3d8JooOXVsP5V9VdnvG5l0vHVwo/YhzaW4nsfbs+ea58+juvdnmiZfb8vh5e8yOa1zDM9eN5woLyxd62lsoy86WHH18owpxUSEG3y/qEOVNrsmLa4yZDrnwi+whAfS7ZPJdR+/Ul+IBv7vgnjyS2z859tdvLN2O78c253RPeJP8eykJfPWa0KDn7vHney529K98tYB7vpVwknb5b60hbgbPZliUt//SjlVDekHnj9W/saz19KScgcfrN3PRxsOMLp7PA9fdRqx4f5RkDa62tSg2kSEl1SZAmYYrvo5dfWbu351isE47ceXGS+r8jV6chlk/1AxBYvSvKrfO11LkH84yUHUykSI6+66dZkCsd1OXjy4Fo4betd5fp7cZwArFrv+3jRNHnshh1l1LAPvdst1FqKjvTcdNcc4+fv++s6zIfuq7T1ZXe/HgBqvaxfGxXLhaV0pszlYtu0wj3+9j5w1+7lmTCLn9m3fPEXQo6OhYw8YOROKcwn8+QP45A7XyKD+V7hGDllcH4MdDge5ubkcPXrU75c199fY/C35Y5omNpuN7OxsAgICiIuLw1KtFpf7vty7d2+V/EZto3+a0u9+9ztGjRrFyJEjm+2YDUoAGYbht088b3KfZ1Ocqzf36Y19tYXHs7Wo67FyF0Osvs3Tx9aTdiYmX2/P4aVvdzGkcwxPXDOE6FDvXrX3JLbKQ9fdw9art6lrRY+TnWf130eHBXH3xF4cKy7nxW928sp3mdx/QZ+mm98ufssbrwmn9NzFs+duS+SuQ2KaMODs2pdThqq1LY6+tLnW+hfV1XV/Va9rAXi0P3HxtB8cfWUL8TfVXtOkJXKfb9axEuZ/v5ufD+QzZUgSL80c3iJX86roZ04nIyfu4IcPol1LcGf/DOXFx5foLgbb8Vt5cbWluotcbWyl1fZ8vJqxm8V6fHnxENfKV+4lx4MjXNOvQmMgvgeExB6fknV8ZSir671FVy+es7efjzdeHXTSvvDrmd6/YH6yvufpecbd0LvBryv1vR+D2l/XQoIC6Hn3KlKLbBRa4PO/ruSVeCvdyw1ufmgcqe0jGhTDKQuPh+E3uW7H9sLG9+D7pyA+DQZMJSB5GMnJyezbt4/du3c3T0zSLMLCwujYsWOtI6fcz9WoqKgmG+ASHx9Pbm5uxajB/fv3k5R0om7YM888w+bNm1m8eHGTHL8uKgIt4scqf0g6WaHGpmBi4oguwN4xm9W7OzRb4qc5eFpcMSYsiN9N6s3e3GL+9tHPDEyO4Zdju/tdYU9pm3yx6lV9x6xcYNatruSOt3ha1LauBJtIXUxMfszM5dXvd2MxYMboLtx7Xq+mT8o6HVB4yFXTJm/f8fo2+6EoB5w21ygZp8N1qyPyKskYcA31qfyJ3bDw6qQA+CIaAsNPLD8eGHb8+3BXDZ3olONLkocfvx3/PiBYy1w3I28W2a6r6LSbJTyw5gplp8i9nwgHXJLl5OIsJ9siDV5avouDeaVMHtiRCwZ0JCSwmZKpMSlwxizX7dDPsPFd+PJvRLTrQ1qvC7AlDgU/nGYlDWe1WgkICPDpRTTDMBg1alRF4efXX3+d6667DoCPPvqIuXPnsmzZsmZb/ctNCSARP1bbqIHmYGLijCrA1vEwlqIwQjK6cve5nZvseBVvNqptq6760q+1LftaZV/1vHmpa6RQXVLiwnhu+lAWrT/ADa+s5O5zezK0S9tY6UH8lzdXvapvNZrqSZZnXimoN7FTeXnm2ni6wlDKxxdytLicDZd/TNzccRSU2tm8/gCFZa6livNL7eR3yKPcaQerE5wGhtOKabHy1BeFhAcHEB4cQERwAHkxBmEOCLVDmMMk1AFhTg/vHKmXpwn1lsI0nNjjj+JIOMqXW9rz+wt60zHaCwVtTRPKCqDgIBQehIJDx78edCV4bCWudobFtax4VDJEJUFiX0g717XEuDXINbrGEuBq14gPNz0bf0bSTE6WtPEmd7/NGPs+qd9MqbVN5dHn9b0nq84AehWaXDhlAEVldhavz+LmV1fTJT6Mq4d3pm9SM5YaSewLiX92ncDhLVi3fIT1u8dd/azX+dDjHNeINRFgwoQJrFu3jqKiIpKTk3nnnXf461//yty5c0lKSmLmzJl88sknHDlyhOTkZB599FGmTp3KQw89xNVXX82dd97JOeecw4UXXgi4VhWz2WyceaarkPnUqVP5wx/+0CznogSQiFThiCikPOkQlqJQgjO6YDgCmvwin6cfEjz50Fh5X/W9eTkVhmFw8aAkzkxL4KH/beX9Nfv53aTerWZUlLRO9SV2qrR7eUud7dyJVxMTLE5Mq5N8u5MtB/MpKnNQUu6gqNzOfX91Ulzu4C+P5XLvbdFYDFe/efX7zONTJsBiGK7tGJS3O8qTnxdxtNjG0eJyCkqrJmEDLBZiwgJxtrfSOSOHiOAAIkMCiQ0LIiUujKiQQC5/qBMRxxM9z7yax1WXhVJUZqewzE7R8VthmYP9oQbFVoMSKye+BkDIvFWVjngiK9wxOpSR3eMY2S2edpHNWxPAn1Qd1VXs2eiqkyTUwfPnpSe8sS8TE2doKfb4Yzgiigg4EkPItu7cc16yhzswXcuMH9sDeXtdU03y9rkSO/ZK06WCIyEiESI7QEQH6DgYenaAyI76sCktRuX/Aac6EjU8OICrhnfmquGd2XwgnzdX7iGnsJy/XNKPhIhm/J9rGNC+j+sGkH8Ati6B948v5512LvQ8HyITmy8m8TtLly6tsW3JkiUV37/yyiu1/l1aWhqrV6+usT0jI8NrsTWUEkAix3nzzejJeDpNonp9H0+urpyqjfvzePKL7djjnATv6Ixhb/lJDW8Oma4sJiyIOZcNYOWuXG59bTXXjuzCBQM6tMpaLS2RL6ZF+bP6Ejue2JtbjK19DvaoArA4wWHBcFoxnBYWrSsjLCjAtURwkJXQoAASo4KxloTSq0MkTtOVOHJ/NTFxOl25AqdpYpQHMrZnO2LDAokNDyIyuPbh2hmP7SD17LSTxnr3jXWPyss4sLLW5Z5T5w6r0dY0TfbkFvPDzlzmfLyZnMJyUmJDGdU9npHd42gfWXMlmdaqeq0Pb41Ebezz0hv7sjmc/Lgrl882H6K09xGM4hACcmMI3NcBA6PmxY/SfMjdCbk74GimK8lTcBDM40PJwuJcU6ZiUlwfJtMmukbwBIU1+hxF/JU3Xm/7dIziL5f05+esfO54Yw2/HNud8b3beyG6UxDV8UTNoNJ8yFgKn/0JinOh6xnQezIkpPomtgYoLy9nwYIF7Nu3j8mTJzN48OB62y9dupSNGzcSExPDzJkzmyVG8Q0lgFohffg5Nd58M3oy1d9Qu7dV15R1M9wysgt44vMMIkMCSL+4H8tfOlojtpaqqR/PEd3iePmG4Ty3bCe/fv0n/nBhH5Jj9Ubf17w5LepkfJHM9bTmTe5Lm8l9eQs4TDLGvg+4kqLV+0XlQssZYxZSHhHIocdH8tW2w+w4XEhKXBiGLYDgnZ0xHCdqIxgG/G5S7SPxAvIdjEk9+epev7k0nMEpJ3+smiqZWxfDMOgSH06X+HCuHJ6CaZrsO1rCip1H+Of/tnK4oIykmFBGdY+jf6dousSFEWBtmXXB/PE9g6f9qvpz15NpZ3klNr7adpgvNh/iWImNEd3imDaiM28/EgMmhFuLSInYTJfQ3XQN2w0f5Lhq74BrhE5cd4jrAZ1Ph4EprpE7FtUMEfGGvklRvDRzOA9+vIUvt2bz+/P7EBrkw/4VEgX9L3Pd7OWw+1v44Vk4sgM6nQa9L4Sk0/yyHlZQUBAzZ87kscce86j9hAkTCAgIIDMzs0njEt9TAqgVas4PP9JyHQiB1zoHELFsJ7+d2JMu8e7VrY76NK6WJjjAyp0T0thxuJA//3cT5/XvwJXDUnwdVqvUnKP0POWLZG5dq69UF3djH+Ju7HPSqZD5pTb2RBhsirKwPtrAgsk5OUXMGN2F7gnhGIbBh09kNUli2NPXKl8/7oZhkBIXRkpcGFOP9+99R10jhN74YQ+ZR4pxmibRoYH0TIykV4cIeiZG0ikm1O9HBvrdewZbKcHl2bQLzScyIJ/IgEIirAVEBRbAtwaU5buuypfl0z51K6Zh4sTAYYDTYpL3ymvYCMRmBFJOEGUEUmYGUOIMIDcvjzCzhEERdiaFOAgOtkIWkAVP9XNN0ypyhLOvJJndJV1YeWwknDvSVQzZzx9HkdYiJNBK+sX9+GrbYW6a9yP3X9CH/p1Ovrx9kwsIgh5nu25OJ2Stgc2L4fO/QnyqKxnU9YyKlexE/JUSQK1I9RWjoOlXX5GW50gQLEgJIC8Qrt3r4NwrB/k6JO8zTTi43lUkMz7N9aLdxHq0i2DudcN47PPt/OmDjfxpcl+tFOZlzTlKzxc8LWB+KsU3TdPkUH4ZGdmF7DhcSEZ2IVnHSjABMzWALsUmvQqcXHzAJNiE1DO6NepcbvGnhMIpOlnCMTk2jOShVUf8HSsuZ9uhQrYeKuDLLYfJOlaC0zRJjAo5nhiKpGdiJAkRQY1KDHlj1E697xkctuPLfRfTJXQXIZYSQixlBFtKCbWWwqZwV10bWwnYy4jt+ROGvRTDYgPDAQYYgQZ8vBIwXU9U00neh7vA7gDDSWLfUgpvewxbgIFlUDxlNgdldifFzkBuGRBIPmEUmOHkO8MpMMPZa4bz0KZoSiwdKTYiKLGEk+vMx2qDICeEOCHMYiEpqTtRAQ4iAhyEWxyUPruGkNJSwk0b3Yu6EWgLwRkURfDHV1RJ6vzmxZpJTsMAwk8+kk1EvO+snu3onxTFnz/cxIBO0fxybHesFj9JxFoskDzUdQPI2Q5bPoIVz7hW0us2FrqPd40YbMbkcXl5OYsWLWLfvn3Ex8fTt2/fit+99NJL7N27lw4dOjBp0iS6du3K+++/z+bNm+nduzeXXXZZRduvv/6azMxMjhw5Qt++fZk4caLfX8wQzykB1IpUXzHKva26UxkyLS1Hqc3B/mMl7D9aUuVrVl9Xdw9zwOX7HPQuNGusEtviuZf03L8aOgx0rZByJMP1YSYoDBJ6nSj0Z9jB9O6/QIvF4O5ze/LppoP86tVV/PPygbSPaju1QqRxPC1g7k7qF5bZGXXJXt6YG8exknIWrcviWImNvOJyjhXbXN+X2MjvE0D4vFUkRgXTo10Eqe0jOLt3ezrFhGKxGOxcsAhnkd0rS/66+dWIkuOqL23s3lZd5dfI3P9sbtBrZExYECO6xTGi24laRKZpkl1QxrZDBWw+kM9/1+4np7AcA0iODaVnh0h6JUaSlhjpcUF5j0btOOwcfWkFsRfHQXEOFB9xTWUqzoXiHP7ceR+hlpITcbrvlDdCXFOaji8NPq2zSX5ZCKWOUMqcwZgBIWCzQGAIhERDQAjx6YMgMIR8u5WNty8n/K8jXCu0lTooKHWQV2ojr9TBQUsWJQEmTiyUmKHYy4KIL7WS2rkXiVHBJEaHkBgZwqO3HqMo3wrmiTo8EeEGc5+odkHrRteX+vpLxr27q9R+cgCUoRE9IifR3FNvaxMfEcxT1wzhrR/38qv5q3jg0v50ivHCinzelpB2Ynn5kmOwezn88JxrqlhUR1cyqNuZrtX9mtCnn35Kbm4uv/71rwkMDOS7776jqKgIgBtuuIHHH3+cAQMG0LVrVwAmTpxIQUFBleRPVlYWw4cP58wzz6SwsJDnn3+e2NhYRowY0aSxS/NRAqgNqrJahwcrdcipac66CtsPFfDY0u2U2hwEB1pIig6lU2wonWJCGZgcTXJMGNlP7MRoJbV9qjiyAzYthMzl0K43DLgCzv5TzTf3ZYWQsxWyN8NP8+kwcDmG4cBpD6PkWBqlR3tSXlT3ctQNMbFfB7q3i2DWW2v57UQtFy+nrrjcTmZOMZlHitiV47odLSoHXCuolHew8fkWGzGhgcSEBZEcG0r/pChiwoKICQ0kMiSAzBf/S+oLw+s8RlMu+etPPDlP8P5rpGEYJEaFkBgVwti0dieO4zTZf6yErQcL+GFXLq+u2E1BqR0DsFpcf9MhOoQOUSF0jA4hMTqEa248RnGhhQDKOe/8H+gafYjn7i9zrTSVnwUFWRQt3wcOE9O0YCmPIPfbSEyiib/7LIjtCp2GQlg8sx+2UewIpfKVAMOAjU9V/T947WRXEmvQOQdY93lHDMOg3O5kx+FCthzMZ8vBAnZkF+Fw2ogJMwiO6kS3YzHEhAUSHR9E17BAYsICiQkNInpKICGBlpNeSV75X9dS0PWt+CgiTctfRtwahsHVIzozsns89723nqnDUrh4kB//XwiNcU0H6+1a7pu8/bDrK/j0T1B02HURsusZkNgfopO9lowuLy9n7dq1XHjhhQQGui4mjBgxgs8//xxw3Y+DBg1i7dq1nH766QCsX7+eAQMGVA0/NJR+/foBEBERQf/+/fnhhx+UAGpFlACSRjFNk1dX7Ob1FXuYNrIz143uoiGCxzVHXYX8UhuPL91OTmEZ91/Yp96rIoebNJLmlRh0EL57D3Z86Vptpf8VcMbd9RfiDI5wffDp5Bque/CBhWCCJaCQkJgMIpOWExSxH97+EFJGQpfTIXEAWE/t32Rq+wienzGU3y/cwM8HCpg+srP6Rj2afEpLJRUjPI7zxShIp9PkWImNnMIycgrKOFxYxpHCctfPhWXs6RNA+Cs/EhJkpWt8GN0SIhjVPY5rRnQmNiyw4rk08MUsZk2o/42wN67iVr4PW/qHcn+4qg2uEYPuukIT+lZdXtjmcJJdUMbh7AMU7VuDY/sWcnK3MafvbgzDSZkZyKHy9mSXJHEgvy/tOw3H2i8ZIjtw4ImPal3tLH7QZVU2lTizThpjYZmdvbnF7DlSRFnHg8x68xAFZXYCrQY92kXQq0Mkl5+WTLeEcAKPF8HOLQom7qwejbpvRKRtqm/qbbeEcF6aOZynv8zgl/NXcdeEnvRNimrmCE9BdCcYPM11M004vAUyv4Vtn7gS95gQ1QkS+0H7vq4EUVjDLxzm5ubicDiIjY2t2BYQEEB4eHjFz4MHD+brr79m3759JCcn8/PPPzNjxoyq4UZXrbcUGxvL0aNHcTgcWK0qeN8aKAEkpyyv2MYfPtjA4JQYltw5lpeX7+L2N9bw90v7ExPW9DVX2jKn0+T9NftZuGYft41L5XQPVttp8UyzYkjtkxOCod3VMPKWRhfbc9ojKM4ZTHHOYNeS0A9PhH0rXXO5lz3oqiPUaahrSllgCASEQEAwWINdX90398+VklCRIYE8cfUQnlmWwe8XbiD94n6EBOrFszbeSJh6Og22yggPmmcU5KasPN7+cS97j5bgKmFgEBMWSEJEMAkRQbSLDKZXh0jGRCQQHxHE0cd3klbPqB03T2rteHoV118SI03NG1e1qycRof5EYp0JTqcDinK47saNhDuzSQrZT/ewnSSH7CPACmPO7OAa2Ti4H7S7jNOvDya/yIKJiRlcTmB8MbY8gx0ZRZjmIbq3K6J9Owu9CkySSkyqVyEzTRO708TuMDGtDtd+LE7M4DKcIeWYIWXc8cYhisrsAIQFB9A5LpSU2DCsBRE8cElXok/y+u6LUQP1PXer1NaqtE1E/IenU28DrRZmTejJgbwSHvtsOw7T5K5ze/rntLDaGMaJUgRupgl5+1wj1PethNWvQOkxMKwQ3wMSekK7XtCuD4Q2rhh2bGwsXbp0Yc2aNVgsFhISEggK0me2tkYJIDklq3fn8u9PtnHf+b0ZlBIDwC/GdmfDvjxufe0n7jq3Z5UaCOI9G/fn8a9PtnJmz3a8csOIiquurZbT4UrG/DQPOg6CCx6md2Tiyf/uVAVHnFjlAcBW6qoplP2zq+ipvRTsZZVupeAoP769HEzHiX2FxmGJ6sjtkR3ZYIbz97nruO3iM+nQMcVVQLCxnE6wFbuOb7G6ah4ZFtebBvf3FmuLr3VRvW4Z1PJh2zQJMGwEWsoJMOzYzQDsZgAOL9d5aoi8Ehsfrsvi000HSWsfybSRXejVwbMk1zEPj+HNUYb+Mtzf16rXCqotWVA9iXhim+laparkGJQcdb2JLznKkU93QedSKDjoqsPj/j9hWCAsnnGxEewvSuBAaUeW545lf2knwsOtrHis6ui17xbXHbfTabIzp4jP/rON/yZZyAoxqiSAwuf9CLimlwVYLZR1LQWnAU4LlrIgjNJgrLkx/G1KF6JCqp6zaZpkXZhDlIc1ippbfc9dT0f3uac5uqc4ureJyKnztPZaQ6fedowO5aErBrLlYD4PLNpE14Rwfj0u1eM6an7FMFyj2WNSoOfEE9sdNsjd5SpfkPkNbP8MzvlTnbuJi4vDYrFw9OjRiho/dru9ogaQ2+DBg/nf//6H0+lk8ODBNfaTl5dX5eejR48SGxur0T+tiBJAtVixYgXBwcF1TtcYN25cxffLli2rtU3frgVgwqbMoZW2rWbZsm11Hreu/eb2OFTjjebAnYk12rqPWYUBkFSlbY39GbDv+D5Odm5O02TJLhv7Cpy8cPM5FW8SK7e9rrvJ44t+pF2YwcU9ArEYhkf3mZuv2uZ2P+jx/eDJfvt0KajxeFdu26/r6qo7MqjSvvp+C8tN3ttejt0Jl/cMJMZezPJvdnsc79HehzFtTgZmJFa8CG/ofbjinN0GpxVQbgNM+Hm36/kbEW40++NmcZSTeOhLetk2QtokmPoKy75fDas3A5sbHUNype/X9zjk+qZSX6ix365jTuzXAgQdv9UVg2my/LNFBBfnEHQsl+CynVxlzWHdy+9RElZIZCAkxJ8YuZVzJKfKfkwjAKclAKujDDDraGvBYQ3GNAIAJ4ZpAk4S2yWA6QSng5zDhwFnLfeAgS0wgo7d+7mWOA6LZ8POA9gDInBagjANK05LAKZhrYjl9DFnuqbEWQL5+tvvABPDdOL6h2JWHN8wTcacPtoVg8PGD999hdVRjsVZhsVZfvz7cr5ZnofFWU7u0URuSC7n2ZmlJMfvYUhvE4vTdrxtGaGDjlZEHVUUUvFY5Tz5eJXzeW6oic0MxIkFC06KiqMItNhgQVCV+zf89EIqvxs1Ad7/FELjICyWbXtzsAVGYQuMxBYQTqkdAoND4fh9cvqYsa6RYRYrg7t9h8NpxYkFEwsmUBAE1z6xgWK7yU0TBjL3+mEEB1hZtmwZB7bU8lBUf+4A6yv9PzpZ2+bum+7/bS3h//optb0/knHjxpExdiGpn53DD18s4dh/nyPQlkegLZ+g8jycwzMJthYRaCkhuijY9XcG5Dz1LA5rKLbACOwBEXyzPpBjtggCosK5980YVmbeSHlgPMsXp1SJofs06A48O6+A+35TAmQ0+NwsFoPU9hGsjzxAogmUVmpgQFyXqCr3Q/8Xs+jb5fjrUPDxmwE/rdhX633Wt8tqli1r3HujhradcXEZ1d/DeGO/tbV98P9c3z87r4BbKyVWly3b6vvnpNr6TVvTNBkyZIhPY2hRbe939aXkPx2tqL22bNky9lRrX/mzycAdNT/j1BfD8zOGsTwjh2lPLWVguwDO7hxAYC2rhbWY+6xy23Y9Xbc+J09kBwUFMWTIEFatWkX//v0JDAxk5cqVmNWWN+zbty8ff/wxe/bs4ZJLLqmxn8LCQjZv3kyfPn0oLCxk48aNjB079qTHl5ZDCaBq0tPB4QjgnHN8HYn/ySszeWVTGYPaWbl5YHCNK4RuoQEGvxwYzPL9Nh7/qYzr+/l2aOGPa8sYPjjYpzE0hsNp8sUeG6sP2ZmSGkRq7Kll4GNn9AIgbmdixdXS2j5g/mJaJKZp8tz8QjZ80bHizf6yZVtP7QQaKMBWSFLW/4g9uo6DHcbDte81yzLuXmcY2IKisAVF4fpo52J2N5m9pRwLMOfCM+kY7Rq2vLHyY2GaGKYdi9OOwxoEhrXKm4aNJ3nTkOhJW9NBgL2IjkP6uFYHKj5CoG0bYcX7sThtGKYdw3Rgcdorvqf0S3DawVFO70MHAQPTcI0xcH01MA0DsEDpUsAAayBJB3JwWINwWlw3hzUYpyWIYnsQ5c4IthX2pMwZQpkziJTAHbRLjj3eNhCHNZjcNTswbSaYJ5LflvBA9kytOvpl7objycvjfs4cSkS4wTlPdaxyP+T+uLlaEtzJZZOucY3YKM6l9PBXBNryiSjMIcBWgNNWRqAFDByuhFfZMtfINKedW+N3Y8WBYTiwWU0cFrCa0N0ZQFAgJGxqB9sjIDiC7oeOYhrW44+t7fh96/pqcdog6zn3g8OYtAOYm+NcSajjySh7wInvKTjoSli1xL7hK6YJ5YVQfITI/G0ElecRaMsjqPwYgbZ8Am15BNiPXynNepbOkwvho49JOlqCLTD6+C2K4rBkcgraU2YPx+YMYeCO46N0DNg3terI10VfV70wk13WHqO8aU/TCLRg2o4nfY/nOY3AmiMOI8KNGitBBvnZxXNfvHYPG6Q+JeJtTT3FeExqAr8dFsIPBxw8sqqUs5IDGdHRiqWOhHVLkJ5e9asnJk6cyKJFi3jmmWeIi4sjNTWVqKgovv32W8rLyxkxYgRBQUH07du3Sq0ggKVLl7Jx40ZSUlLYt28fK1euJDc3l/79+zN8+MmnpEvLYZjV04K1yM/PJzo6mry8PKKiWkCxrUaYPdukrKyMOXPqvsrlif7js6h+zxoGbPyy4YUzM8YsrHVkT+ryqgUdPT1mjf3Vsq/qvt2ew9NfZjD74r707uD5c2Dn4UL+/N9NXH96V87t24TTdurhacHSk60M4wl3EVqoulJO9SK0lYvVup9m1ds5nSZLNh7gjZV7uHBAElcNT8FayxWNplB9xZdmUXgYlj8GOdth+E2Qeq53pknVwdN+1VQ27s/jyS+20zkujFvHpRIX3vY+dDT0/6Q3+ig07H+gaZrk5eURHR1da1/oOymT8qSDmAEOArLjseZFYjGME+fgdLiSDmWFrq8O2/GaUYGuulHWIFcSx3p8m/sYTmfF9CFXgi4XSnJPfF98xPWzw+Y6AUwIjoSIxEq39q6vUR0hNLZG7KfKb4pA28tcK6oUZru+Fh2uel+VHAWHverfBIW7imuGt4fwhOO3dsdvCRAc5dGUSW+/Lrt5+771Vp85WT8QaSvUF5rGqXw2qUupzcFrK3bzbUYO/7xiIO0jQ7wTZDM7lQSQp15//XUmT55co+BzW9KW8hvVaQSQ1MvucPLo0m0cKSznPzOHERbUsKdM93YR/GfmMB76eCvLM3K47/zeLb4Ibn2rFVUuQguuJFBtRWjdiZ7a3uw7nSaf/nyQ11bsYVyvdvzn+uE+uc9mXtVMl4LLi+D7p2HvSjjz/6DzqOY5ro/17xTN8zOG8cPOI9z99lqGpMRy09huRATr33JdfFWkuHjBLqJvHVxl25HCMp5ZtoOyLrkE7uuAtTis9j+2WCEk2nVrCIvFlagIi3MVgTwZ04SyAlcypPAgFB5yrTSy6yvXKiMlx1ztAkMgprNrOfDYrhDT1VV3IMDHoyQrRue4E125FSOyKMl11c0pynbV2XJ/SrAGuRI3Ee1PJHFiu7nus9A4V9KrhY2Q8qSot4iI1C0k0MovxnZnXK/23PnGWv55xUBS4up4jW5DNm3aRMeOrs8fFoulTSd/2jp90pA6lZQ7uOPNNVw4oCO/m9TplPcTHGDlzxf1ZenPh7jltdU8Pe00wlvYh9zqI3ueeaWg1pE9jWGaJp9vzmbe95mckZrAC9cNbXDCzZtubOoEkMMOa+bDpg9cq3md+bsWX6z4VIzsHs+IbnF8sSWbm19dxdm9E7l2ZOcWnyhtCr4qUly8IBOOJ4DySmzM/WYnm7LyuXVcD956OKbGCA+fMAwIiXLdElLrbmcrgWN74GgmHNkJGV9A3h5XYsXwbMTdE/1KYYG3rqhWqgzqHp0TGnfia3x3CB12YqROYAtZ6eUUebOot4hIW5baPoKHrxzE/72zjj9f1LAZDK1RUVER8+fPJzw8vNbaP9J2tKxP4c0gPR3y8kpxVUNsWby5gkVxuZ3fLFjDTWO7cXoP7ywxPqFvIlGhgdzxxhqevva0FvUB19ORPe7HwN3GPQWsPqZpsmzbYV76dhejusfz7PShrXsUiGnClsWw8gXofwVMX+gqLNyGGYbBOX0SGd+rPR+uy+KGl39kymmduGxIJwJa+ypvLURxuZ153+/m+x1H+OXY7tx9bs/jw/+zfB1awwSGHl9Ottcp7+JnWwHjpilRISIi/i0pJpSnpp3GnW+uYdaENIZ2aTkrFHt76teIESMYMWKEd3cqLVLb/tTVQlQsoQj1Lktb37Sihigqs3P7gp+4+awejOoef8r7qc2IbnHYHE7ueGMNT04bQnBAy0kCeaLyiKCTPQ6maXLeFXZueOVHhqTE8vS1p9VZWLvV2LMCvv63a5rXNW9BkO+G5Hrar9xyX9rc5CNQLBaDS4d04oIBHXlr1V6ue2klFw7syGVDkgkNal19xZc8WebbvfR8uQEfdbDw3Z3/49IjMP/tyW2+7oNGqVT7/1Fpm4iI+Je48CCenT6UWW+u5dpRdsb3au/rkER8SgmgFqD7pyeW/vNWQce6FB5P/tw2PpXhXZsmSz4mNYFyu5O731rHY1cPJrCNjXA4mFfKwjX7+C7jCKelxfKHMUOIDmvlHxwOb4Nl/3AVpJ3ynGs6h4952q/ciQBMyP2Pa/l5S3hglb/3tqAACzNGdeGqYSl8tCGLX726isEpMcwY3aXFFjP0J+7Hrr7HfZ/Dxv+6WNkcaWHSIQcPrrdhNWjzyR9x8bT/Vx4VWnlbc/FV3SwRkabU0ItyEcEBPH3tEP7vnfXkl9i4ZPCpl7YQaemUAKomPR3KykKYM8fXkTS//FIbv1mwhjvOSWNoF++tGFOb8b3bU2Z38rt31vHwlYObZHWryitt9R/vmqZRW92eyh/wM8YsbJIP96U2B5/+fIjF67IIDw5gypBO3Hxmj2Zb1ctn7GXwzcNweCtMSIe4br6OqMl5c6RQUICFKUOSuXRwJ1bszCX9w02EBwVw4xnd6NOxbc9lbwqlNgefbDrIonVZBHYLYuJ+GzfsdmDUM1LIm1NvpfXxZp24U+GrulkiIk0p9+UtDf7/Fhxg5bGrBvOn/27kWLGN60/v2jTBeUlTrgImbZsSQAK4CpvevuAn7j63J0M6N23yx+28/h0oszu47731PHT5QCxeToZUrtvj/lpb3R5PnFJtH0x+2nOUd1fvI+tYCRP7duBfUwcRHdrKR/u47fkBvvwbDP8FjPt9iy3w7MloEag5UsibiUTDMBjdI57RPeLZcbiQl5fv4mBeGdeO6sxZae087jvNMY2tJdqUlcfbP+4l80gx5/XvwKNXDSbyelc/NU2THWM/oMc3l9Y6+sdbU29FRETaqoZMzQZO+aKt1WLw90v7869PtvLY0m3ceU6aRvZKm6MEkFAQAH9Z8BP/N7EXg1Jiavy+KT80XjK4E+V2J3/670b+dml/n/wT9uQDvqe1fewOJxuz8vl2+2GKe2Xx2c+J3DimG6ntI7wfuL8qK4DP/wr2Erhyvmsp5jag4o0LgEmN+iDe0qNdBH+7dABHi8pZsHIPc7/ZycWDkpgyJJmggPqnU57KFbPGemZegV/WjDlSWMZ/O1hY+58fSGsfybSRXejVwf/iFBERae3c78Xr+8xR5X0WnPJ7LcMwuOe83rz49U7+suhn/jy5r9cvQov4s7ZVfEVqyAuAv/YO5N7zetea/AHXh8amNHVYCr07RvHXxZsx/WI9Zc85nSYb9+cx95ud3PzqKn45fxVfbD7E0C5xhG1N5d7zeret5M/2z+CNa6D3BXDxk20m+XMqcl/a3Kg2seFB3DY+lZdmDsfAYObLK3l5+S5Kyh3eDLPRnptX4OsQsDucbMrK49UVu7n7rbVc/9JK/vbRZqJtMPf6Yfz5or71Jn/CpnU96TFu8cMkl4iISEvSnBepfnlmd/olRXHnW2spLLM323GbwlU3H/aoXd5/d3nleKZpUlBQ0OI+t4mLRgC1MN4s6JgXAH/rE8jNu+z07xTdqH019ir/jFFdmPvNTv75yVbumdTLb4djOp0mjtASXl6+ix8zcykud9CnYxSju8czbWRnwoJOdCmjpS0P3RhFR+DTP0J4PEx726ere7UUnozG8aRNcICVK4encPnQZJZsOMAv569idI94po/q0namG1aTW1TOmj1H+WnPUbYcKMAEeiZGclrnGO6/sA8JEcEAZDy1y6OVCMOmnbx2lT+OchIREZG6TR2WQpf4cH41fxUPXNKP1PYt87V883bPRkId/vdaoi/xTj1Oh8O/LjiK55QAamG8lRl3J39u3WGne0njs7fPeWGaxy/GdufpLzN44vMM7pyQ5tHfNMf0EofTZPXuoyzZcICM7EJsCRa6xHfmiqHJRLb2ZdtPxjRhw7uw9jU4ZzZ0Os3XEZ0SbyRWm2v+el2sFoOLBiUxeWBHvtyazZ1vrqFvxyhuPKNbRcKjOVUvwl5bAXZvsTuc/LTnGF9uzWbj/jziwoM4rXMs5/XryKwJPetcaVArJImIiLRtI7rF8djVg7nvvQ1cdlonJg9UPT9p3ZQAaoNM4PG0AH61y073YhP8aLDNbeNTefLz7cx8eSXBARY6xYSREhdKcuyJrxMuP1ylIPMzrxR45cNl5Q+DDqfJj5m5LNlwgF05RQztEsu1IzuTlhjJwAVZnN07sVHHahVyd7lG/SQNgWvfBWvLTYZ5I7HqSS0pb81fr49hGJzdO5Hxvdrzw65c7l+4gaSYUH51ZnevHudkqhdhr60A+6kUV3fLzi9l2bbDfL3tMEVldoZ0juX8/h343cReHs/lV0FsERERaR8ZwvMzhvKvT7ayZs8x7ju/d50Xj/yF+0Ib0CwX26T1UAKoDfok0ULPApO0Qv+ct/mbc1yjf8rsDrKOlbI3t5h9R0v4ac9R9uYWc7hTkauh04KlKBRLURgFxTWnHDV0eebomb35bkcOSzYcYPeRYoZ3jeO60V3bVg0fT9jL4bsnIGsNnPsAxPfwdURSC8MwGNU9nlHd41m/7xhzPt5CSZqVW3cf5bTOMX4xzdLT4urgmn75056jfLk1mw3780mICOKsnu346yX9iQ0Pao5wRUREpJUKtFq4/4I+FdPpH7p8IIlRIb4Oq06VL7RB3RfbmnL0ubRMSgBVk54OeXmlQPNPmfCW+oqR7s0t5usEC3/d2LzFzipnqd1OlqUODrDSLSGcbgnhVbb3fzEL0wTT4sAZVoIzopiydrnMfPkgEcEB9O8UzcBO0XzyTgLRoYFVPliW2R3sPlJE1rFSDuSVkHWshKy8Ug4XlFFudzK8ayw3julG93aNT/q0yqKwmd/CVw/B0Jkw9rctdmn31qJ6v6qrTw1MjuHJa4bw7X8y+eznQzy2dBuTB3bk4kGdCA06eQ0cXzFNk3X78li0LoutBwsY2iWWSf068NtzPR/lIyIiIlKX6iuPXTCgI706RHLXW2u545w0RnWP90lc6ene2U9zjD6XlkUJoFaorpo4TqfJ7A838ZssA6tBs9YqqZ6ldm+r97hQ7zENpxVrYQTWwggMA16Zm0RBqY2N+/PZsP8Yb/y4l4JSG8VpZdz0yn4Mw5Xd7xAdQlJ0KB1jQhjdI4FOMaG0iwzG6uUPlK2qKGxRDnw221Xc+arXIKRxRcNbIn+sF1O9X9XWpyrrUAb3nd+bUpuDxesPcPNrq+mVGMH0UV3oEh9e7982F9M02XyggMXrs1i/L4+BydFcMTSZ3h0i/WLUkoiIiLQetS240aNdBC9eN4w/frCR9fuO8cux3fUeRFoNJYDakJeW72JCn0TGLh4O+L5WiSfHbegxI0MCGd0jntE9TmTrB7y6n/8838lbIbYtphN+eg02vQ/n/LnFFnn2hpZcL6YisVopmXvFpxdxxdBk1u49xpNfZFBYaueqESmcldbOJ6NrHCGlPLZ0G6syj9KrQyQXDUrid368IqCIiIi0XuHBATxy5SDmfZfJHW+u5R9T+mvxF2kVlACqJj0dyspCmDPH15F417ZDBazKPMqz0737Ab76Sj9Q+zSUhtbj8SbDn6pctyCWnC2w+N+Qdi5Mfw8s/jtVqKWoWCkMPBuBdzxh4/7bUx2BVyWxWi2ZOzglhsEpMRwpLOOtVXuZ+81O0tpHclbPdozsHkdYUNO8TJTZHazOPMpX2w/zc1Y+aWcGMrp7F+44O03Tu0RERKTRGrtasGEYzBzTjf6dcrn51dU8eNlAOsfXrDvaFNxTwLw1FUzETQmgNqDc7uSvi3/m4amDvH41vfpKP+5t1bkTQicr9NoUWmUtnqZUVgBf/ZOQI7vh4icgSsthekvlBE71OeeVVU/YVGxrQvERwfx6XCq3ntWDHYeL+Gb7Yd78cQ92h8nQrrGcmdaOvh2jGpWc2X2kiK+2Hea7jCPYHE6GdY3j4kFJ3Dupt5I+IiIi4lXPNTIB5Dasaxz/vGIg9763njvOTmOkj+oCiXiDEkBtwBOfb+eaEZ1p78eV7JtSq6rF05RM0zXVa/XLMGYWxSOGEh3Z9mr9NJfmnFJWMfLI07pfwFjgrPBAOi25gJ92H2PJhgP865OtxIYFMiY1gcEpMQTUs0SqM7gUE3CGlOGIyccMKePFb2I5q2d7/n3lICKC9fIjIiIi3uXp8ugNHW2dHBvGCzOGcc9768k8UsRVwzs37YmINBG9A2/lftpzlAN5pfzfpF41fuePRW09+aAqTeDwNlg6G5KHwbXvgjUI8vJ8HZV4ifvNjMejjiptCw6wVqmrlVtUzvKMHN5dvQ9n9cruldgSizBNsJQFEXiwHZayYP72nGpxiYiISNPxdHn0UxltHR4cwJNXD+Hfn27l7x/9zH3n9/H6IjKV/bi2jJa8MrX4JyWAWrHicjv/+t9WnpsxtNbf+2NRW/cH1foKVLvrCQEVNYWaq55Qq1NeBF/9E47tgfMfgpjjVzPq+WAvLZc3+nxceBAXDUriokH1Tw18499ZVZ5GquUsIiIiLZ3FYnDPeb15f80+bnv9J/41dWCTFYdeta4cJYDE25QAasUe/HgLt41PJTq0dY2iqTyE0xc1hVoF04TNH8LKF2HMna5Cz+IV/jiyTkRERES8Z8qQZDrHhTdJcehRkw+wc2MEJnVPYdMFcTlVdRdwkBbtq22HsRgGZ6Ql+DqUVqfFF5U+sgPemg6Ht7qmeyn541XeGGVjCQ+kYvE6gzqnQ0aEGxUja/TCLyIiItJ8hnaJ5V9TB/H799ezYucRr+23sMg8MTutjilsKxZ3ZOOXSWz8MgmrBTZ+mVQjSSTeM2XKFGJjY7niiitq/f1tt91GYmIiw4YNq7J9x44dDBs2jNTUVG655RbM48Pj586dS1paGoZhUFhY2OTxV6YEUCt0rLic57/awb3nNf1IhOofQNvCh9AWW1Q6dyd8eAd8+XeY+Dc46x4IbJuFwf1d908vInX5ZWA1SF1+GanLL6u1KKH7xd8XL/zPzCtotmOJiIiI+KNOMaG8MGMYr67YzZsr9/g6HGkid955J/Pnz6/z99OmTWPJkiU1tt97772kp6eTkZFBTk4OH330EQAjR47k008/pUuXLk0Wc10aNAXMNM2KrFVrNXu2SV5eCaYZ1CT7b4777y+LfuZ3k3oREmg55eNVFGOGKgWZq+/v+0UdABh0zgHWfX7iw2ddx73lugiPYoqd2dvj2Fv7c7LRcrbBt4+C6YDT74TEfq7t9dxv7r6u+9b3fN0Pqu939EUHKwosPvOKKwkUEW5U/C9wcw9NrjwsuSU+n9QXRNQPRNzUF/yPt98nncpjGxZk5YmrBvP459v53Tvr+NPkPo2uC9S+a9ULbSeLq6Fx19U+96UtxN1Y/yCC1tAP3LHn5+dX2R4cHExwcM26S+PGjWPZsmV17m/MmDFkZmbWOMZ3333HO++8A8D06dNZtGgRkydPZsCAAY07gUZoUAIoLy+vRT/QnjBNs2IYltEEVUvzmnhlpe92HiU6CLpFGY06VtzbYyu+z5n8JQmLxwP1x+/J8aZd6lk76+UdPY6/qe/TlspyeDMhq57FtAZRNuxWnHE9XL/w4P5q6n4gHjI9f343VT+ovt/Kq2u4vxYWmTXa/e+1UADOvKyYrxeGNWmMTUl9QUT9QMRNfcH/ePt9UmPeq9w4IpHVe/K46eWV/OasLgzs5L1ZAyeLq6Fx19X+6MtbsF5e/4jy1tAP3ImflJSUKttnz55Nenq6V45x5MgR4uLiKu6jTp06sX//fq/suzEalACKjo4mKiqqqWLxC+4EV3R0dCOf0MW1bo2Ojm7EPutndzh5ffUWnp1+mler0ecYnsRd3KTn5n/H9WP7f4LvnoDQWJj0F4jtSkPHs3mvH0hjeNb3wBv9IKeO7TX327D/bbdcZyE6uoVOm0R9QQTUD0Tc1Bd8x9vvUzzfX8OcPSCaYakdmf3hJtYcKOHX43oQYG1o1ZWa51B/XHW/D2zoeXry3rM19AN33Hv37q2S36ht9E9r06AEkGEYLfZB9lR6OpSVhTJnTtOca1Pef2+v3seFA5OICvX+9LWTxX3L9ZE+eW746rh+ae9KWP44RHWCSX+H6ORG7c7d33X/+pan939TPU6NPf6vZ7b8iwbqCyLqByJu6gv+xdvvk7zxuEaHBfHoVYN5f81+fvnqav56SX9S4hq2Slh2puvimXsq2Mniamjc9bX3ZF8tvR+4446KimqyAS7x8fHk5uZimiaGYbB//36Skny/erWWgW8lCkptLNlwgPk3jvTJ8X1VGLnFFmT2piM7XIWdwxLgwkcgMtHXEYmXaEl5ERERkZbHMAwuOy2ZYV3i+OMHG7nstE5cMriTr8Oq086Ji1z1X03IGLMQcNV/rW0REvGMYRiMGjWKjz76iMmTJ/P6669z3XXX+TosrQLWWjyzbAe3nNUDq6VlZmHlFBTnwsf3wRd/g3H3wwX/VPKnlfHGkvIiIiIiLZ0lPBAMXDeoWKDG33WOD+M/1w9j5+Eifvv2OvJLbc16fE/vN3fyB3B9NTmxIJAwYcIEpk6dypIlS0hOTub777/nggsuICsrC4CZM2cyevRo1q9fT3JyckXh54ceeojZs2fTo0cPYmNjufDCCwF4/vnnSU5OZt++ffTq1Yu777672c5FI4Bagb25xew6XNQsy76LH7CVwsoXYOeXcObvoMvpvo5IfOwWjYQTERGRVqzySJSMse+T+s2UWtu5VyEFqqxE2ljPzCs45ZkHAVYLd53bk1WZudw8fzW/Ht+DUd3jCWxwbaATjhWXs2JnLj/sOkJpSjHvrHLQMzGS1PYRhAef+Ijv6f0m9Vu6dGmNbZWXfX/llVdq/bu0tDRWr15dY/vNN9/MzTff7LX4GkIJoFbg4U+38n+Tevo6DGlqpgkb34PVr8DQmXDte2DRID7xzlRIS3jgiSs9JnVeIaq+vLt7m4iIiIivrVh8YgWrgWdnsf4L79Rcea4RCSC3YV3jeP66ofznm13M+243dqeTrvHhDEqJZlByDF3jw7HUMZsjv9TGyp25fL/zCBnZhUSHBjKyexzTR3Xh7WcPERYUwJdbs3nxm50UldmxWix0SwgjrX0kqYkR9EiIoNyAMrsDi2FgMQzXwCCj5a7kJadGCaAWbvXuo0SFBpLaXiMAWrXd38HX/4Lu42H6exDQ+ivUS/Py9AqR+42VN99UiYiIiHibP46QjgoJ5K5zXRfuTdMk80gx6/Ye49UVu8nMKcJqMShLNrCWx4PTQnnnbJxhJfz+vYOM6BbH1cNTSG0fUSVpc9tVJhcOjAROJL9sDie7jxSz/VAB327P4dXvd3Okp5XwN9dimuA0TZwmuOd9FfUNwAQGHzO5Yr+j+e4QaXZKALVgpmny+OfbefTKQb4ORZpKznZXgeeIDnD5fyAsztcRiYiIiIj4jKeLZPj7YjGGYdAtIZxuCeFcOsRVINrmcDLw7Z0YIeVgNbHmxBJUksTTz9VdQLq28wy0WkhtH0Fq+wjOP74t46ldpM4dWus+Ml5YeKIGkLRqSgC1YB+uy+KM1HjiI5p2NIhWIvKBwsPw1UNQchTO+TPEdfd1RCJV+ONVNREREWn9WvMiGYFWC9biMOy7XO+zrF0L8NYMLX2mE1ACqIb0dMjLKwX8e4pNqc3Bmyv38sqNw5v8WK35n6zfKS+GFU/Dnh/grHsgZYSvIxKplb9fVRMRERFpqdp3LfD6PvWZTkDLwLdY//l2F9eN7kJwgNXXoYg3OB2w5nV44ypo1xuufUfJHxERERGRFiT3pc2+DkGkXkoAtUCHC8pYlZnLef07+DoU8YaMz+G1y8BWDNMXQp+L8NpYTxERERERaRa5L2/xdQgi9dIUsGrS06GsLIQ5c3wdSd0eXbqNWRN6asm+lu7gBlj2ILTrBVe+CiFRvo5IRERERESOGzX5AIVFJqYJ/cdnERFuVFlqHmDnxEU4i2yuH0zIGLMQS3hglRVWK8t9afNJp2NlZ7qm2jfFVDBp25QAamE2H8inzOZkUEqMr0ORU3V0tyvxYw2A8/8J0XVX9RcREREREd9wJ38ATNP1c3XOIlvVFbRMTiSEapH78hbV4xGfUQKoBTFNk0c+28ZfLu7n61DkVBQdgW/+DflZMO4+aK9//OKftEqEiIiIiGcs4YFVRgBhuLZVVzFS6PgoIfff1jVSSKQpKAHUgny5NZs+HSJJign1dSjSEOVFsOJZ2LMCxv4Wuoz2dUQi9dJVKRERERHPVE7gZIx9n9RvptTarspIIbPSNhEP2e12Hn/8cTIyMnj22WfZsWMHu3fv5uyzz/Z4H0oAtRClNgcvfr2LudcP83Uo4imHHda8CpsWwoibXckf1W0SEREREWmVNIpamtLtt9+Ow+Hg22+/BSA+Pp6rrrqKVatWebwPJYBaiGeW7eD607sQHqyHzO85nbBlMfz4IvS/Aqa/76r3IyIiIiIiPlcxbev4lC33tsZqqaOom+r+EO9asWIFa9euZciQIQDExMRgszVsFJk+lbYAGdkF7Mgu5K4Jab4ORerjdMDPH8BP86H7eLjmLQgK83VUIiIiIiJSiXvaVn1TtgAiwo0qhZ8jwk99NL+nSZaIcINsjjczGndMT3l6f4hvhYSEVPnZ4XDgdDobtA8lgPyc02ny94828/cpA7Tsu79y2GDDu7BuAfS6AK5+Q4kfEREREZEWrvqS743haZJlxeKOpKfDs/MK2PhlkteOLy3fwIEDee2113A6nWRkZPDQQw8xbty4Bu3D0jShtVzp6XDffaW+DqPC26v2MjatnQo/+yN7Gax6GV6dArZiuPZdGHWrkj8iIiIiInLK0tMhsVtBsx9XNYz82yOPPMI333zDwYMHGTNmDBaLhQcffLBB+9AIID92uKCMjzYc4JUbRvg6FKnMVuKa5rVlMQy8Gma8D1bNkRURERERaUl8kfDw5yRLS61h1FZERETw/PPP8/zzz5/yPjQCyI/NWbKZe8/rjdWiqV9+oawQlj8BC66CsHiY8QEMuVbJHxERERGRFsgXCQ8lWeRUzZ49myNHjlT8nJOTw1/+8pcG7UMJoGrS0+HBB0NO2q6pLduaTXxEEP07Rfs6FCk5CssegrdnQGxXV+JnwBVgsfo6MhERERERaWXS0+HQrkhfhyF+5r///S/x8fEVPyckJPDf//63QfvQFDA/VFLu4PmvdvKfmcN8HUrbVpgN3z8N2T/DiJvhrHtcpfhFRERERESa0LBBQb4OQfxMbSt+lZeXN2gfGgHkhx77fBu/OrM7YUHKz/nEsb2w5Hew+C7oOQmufQfSJij5IyIiIiIizWL44GBfhyB+plevXvzzn//E4XBgt9t56KGH6N27YTWllGHwMz9n5XMor5Txvdv7OpS258gOWP6Yq9bP6b+BTqf5OiIRERERERERHn/8caZPn84f//hHDMPgzDPPZP78+Q3ahxJAfsThNHnwf1v499SBvg6l7XA6YecX8NOrEBgKp98BiX19HZWIiIiIiIhIhaSkJL744guKiooACA8Pb/A+lADyI6+t2M2kfom0j/R9EepWr/AwrH0NdnwB3cfBBf+CCI26EhEREREREf+xfft20tLSWL9+fa2/HzjQ8wEkSgD5iYN5pXy5NZuXrh/u61BaL9OE3cth9TxwlMGQGa4RP1rNS0RERERERPzQXXfdxeLFi7nkkktq/M4wDHbu3OnxvpQA8hN/++hn7r+gDxaLCg17XclRWPcmbP0YOo+CCbMhOtnXUYmIiIiIiIjUa/HixZimyfLly0lKSmrUvpQAqiY9HfLySoHmq7r++eZDdI0Pp2diZLMds9UzTdj3o2u0T+kxGHQ1TH8PrIG+jkxERERERKRO6em+jkD80cSJE9m4cWOj9qEEkB94bcVunpymFae8ojQP1r8NWxZD0hA48/8grpuvoxIRERERERE5JYZhkJycTE5ODgkJCae8HyWAfOznrHw6x4UREayH4pSZJuz/CVa/DEU5MPBKmPYOBAT5OjIRERERERHfeOstmDMH1q1zfWaSFi0iIoLBgwdzwQUXEBERUbH9kUce8XgfyjpUk54OZWUhzJnTPMd7dcVubjqja/McrLUpK3CN9tm8CDr0hzPugvgevo5KRERERETklLmngDV6KthVV0FiIowf38gdia9t3LiRrVu3Mn78eDp16nTK+1ECyIfySmwcLigltb1q/3jMNGHP97DmdSjOgQFTYdpbENB8NZtEREREREREmsMzzzzD/fffT69evVi0aBEvvfQSl1122SntSwkgH3p39T6uGKrVqDySnwXr3oCdX0HKSNX2ERERERERcVuwAB59FCIioLQUxo2j2aa1SJN65plnWL9+PZ07d2bDhg3ceuutSgC1NE6nyeebDzH/xhG+DsV/2ctcS7dvfBcCQl0reY2ZBRarryMTERERERHxD1lZcN11sG0bdO8Ohw9D795KALUSgYGBdO7cGYABAwZQVFR0yvtSAshHvs3I4fQe8QRYLb4Oxf9kb3Yt356zFXpdABc9AWFxvo5KRERERETE/xw6BA4HZGa6EkDt2sGSJb6OSryktLSUDRs2YB4v5F3954EDB3q8LyWAfOStH/eSfnE/X4fhPxx22LoE1r4OUUkw9Abo6PkTWUREREREpE0aPBhmzIAJE1xTv66+Gq691tdRtRpTpkxh2bJlnHPOObz77rs1fn/bbbfx7rvvkpKSwqpVqyq279ixg6uuuopjx44xYcIEnn32WQzDICcnh6lTp7Jv3z4GDBjAggULCAkJqfP4JSUlXHzxxVW2uX82DIOdO3d6fC4aftJAoyYfoP/4rCq3UZMP1GgXEW5gGK7vDcN1iwh3bdh3tJjgAAvtIlW4mKIc+Prf8NoUyN8PU56HyY8q+SMiIiIiIuIJw4D582HDBhg6FP7wB1dS6NgxX0fWKtx5553Mnz+/zt9PmzaNJbWMuLr33ntJT08nIyODnJwcPvroIwAefPBBLr/8crZv30737t2ZO3duvcfPzMxk165dtd4akvwBJYAarLDIxDSpcissMmu0W7G4Ixu/TMJqgY1fJrHxyyRWLO4IwOs/7OHaUZ2bO3T/sn81fPBrWDwLOg6GGf+FUbdCaIyPAxMREREREWlB9u+H77+Hfv3gX/+CTZtcdYE+/9zXkbUK48aNIzKy7pW7x4wZQ3x8fJVtpmny3XffceGFFwIwffp0Fi1aBMCHH37IjBkzamxvDg2aAmaaZsU8s9Zq9myTst/PhvQQajvTX+8q5Omuvz3xc+bDGIA5O6LW/d1y3W9P3Gfp6ZSZBhttPfndd1sxjWqN09Nr/742LbGtvQx+/gAW/gOIBwYCPeDnb4Bv/C/eNt42uLQUs3LhOD+PV23VtqnaBpeWQkil1wQ/j1dt1dbbbU3TJHjOnKr9oJljUFu19Ze25qxZVd7b+yIGtW39bWdX/P89sc0wqn94rGT7dvjjH+HLLyEwEJxO1x+npUFubv1xHefp53x3TqAl5wXcsefn51fZHhwcTHCwd2bpHDlyhLi4uIrHrVOnTuzfvx+AvLw8oqOja2xvDg1KAOXl5bXoB9oTpmliKS8HTtLJqikrK6t1+7RLneTl5QEQUlbGf2nPRA5RXl6zfenxdu629WlZbQtgyR+wHlqPLe0CLGXnAoHHf9eW7oeW09Y0TcrLyynNy6voB/4cr9qqbVO1dfcFOPGa4M/xqq3aNkVbT94b+VO8aqu2TdXWNE0KCwsBV1/w93jVtnW0BbBarfWOQKF3b1eyZ/Ro1zLwRUXw9NOwefOJlcDGjYOXX4Zu3WrdRWFhIQ6Ho964oGY/aInciZ+UlJQq22fPnk36yRJ5LZxhepDRyc/PJzo6mmPHjhEVFdUccfmMaZoVGbnantADzj5A9XvMMGDDFx092v/Ml3/k2WtPIzSolS9lbjph5zL4aR4EBMPQGyFlJLTQfxJtzcn6gUhbob4gon4g4qa+IL7U1M+5howAaun9ID8/n5iYGPbu3Vslv1HfCKBly5bx1FNP1VoEGlx1eq644oqKItCmaVaM7jEMgw8++IAlS5bwwgsv0LNnT3788Ueio6NZu3Yt99xzD59++qn3T7QWDRoBZBhGi32QPZWeDmVlocyZ07Bz9aTt+n3HSG0fQVhwK158reQYrF0A2z6GrmfC+f+CyERfRyWnwN3fW3ufFzkZ9QUR9QMRN/UFaQ7uQSjNORiloZ99W3I/cMcdFRXVZANcDMNg1KhRfPTRR0yePJnXX3+d6667DoDJkyfz6quvcvvtt/Paa69x0UUXNUkMtbE025GE11bsZvqoLr4Oo2kcWA8f3gHv3wLRyTD9fTjrd0r+iIiIiIiISIs1YcIEpk6dypIlS0hOTub777/nggsuICsrC4CZM2cyevRo1q9fT3JyMu+88w4ADz30ELNnz6ZHjx7ExsZWFIT+/e9/zzvvvENqaioZGRn84he/aLZzacVDUfzL0aJyjhXb6JYQ7utQvMdhh60fwZrXILYrjL4N2vXydVQiIiIiIiIiXrF06dIa2yov+/7KK6/U+ndpaWmsXr26xvZ27drx1VdfeS2+hlACqJm8vWovVw5LOXnDlqA4F36aDzs+h57nw+VzISTa11GJiIiIiIiISB2UAGoGDqfJV9sO84ux3X0dSuNkb4GVz0PBQTjtOjj9N2Bp5cWsRURERERERFoBJYCawVfbshmb1g6rpQUWyXI6YfunrtW8ItrDiJshsa+voxIRERERERGRBlACqBm89eNe5lw20NdhNExpnms1r61LoMfZcMnTEBbn66hERERERERE5BQoAdTEdh8pIjIkkLjwIF+H4pmc7bDyBTi6G4Zc61rNy6qniYiIiIiIiEhLpk/21aSnQ15eKRDslf21iKXfnU7Y8QWsfhlCY2HEr6BjCxuxJCIiIiIi0gqkp/s6AmmtlABqQqU2B1sPFfKHlBhfh1K7sgJY+wZsWQzdzoSLHofwBF9HJSIiIiIiIiJepgRQE3p39T4uHZzk6zBqys+C75+Gw1th8DSY/h5YA30dlYiIiIiIiIg0ESWAqklPh7KyEObMadx+HE6TJRsOMO/GEV6JyysOb4XvnnSN/Bl9G6T4UWwiIiIiIiJSMQVMU8HE25QAaiIfbzzAhD6JBFotvg4F9v4IK56GoAg4/TfQrpevIxIRERERERGRZqQEUC3WbHQ06u9N0+StH/fy3PShXorolIKA7Z/Bj3MhIQ0m/h2iO/kuHhERERERERHxGSWAarF2k7NRf//djiMMSYkhPNgHd6/TCRvfg7WvQ9cxcNnzrpW9RERERERERKTNUgKoCbzyXSYPXjag+Q98aBN89mdInQDXvAGBoc0fg4iIiIiIiIj4HSWAvGzj/jw6RocQHxHcfActL4avHnKt7nXJ0xDZofmOLSIiIiIiIiJ+TwkgL5v7zU7uPrcZiyxvXwrLH4PT74CeE5vvuCIiIiIiIiLSYigB5EV7jhRjGAad48Oa/mAFB+HTP0FUR5j2FgSFN/0xRURERERERKRFUgKomvR0eP+bAiCiwX8799ud3HRGN6/HVIXTCatfhi0fwbl/gQ4+qDUkIiIiIiIiTSI93dcRSGulBNBxoyYfoLDIBFwrqA84+wAR4QYrFnes0i4i3KhoV3nbkcIyDuSV0r9TdNMF6S7y3PM8uPYdsFib7lgiIiIiIiIi0mooAXRcYZGJWSmvY5rUSPQANRJCbo98upWZp3dtmuCKc2HZHCjNg4ufck37EhERERERERHxkBJA1WRnRgLQvmuBx39TVGZnzd5j3HVuT+8G47DBj/+Bbf+DcfdB51He3b+IiIiIiIj4FfcUME0FE2+z+DqA1uCtH/dy9fDOGIbhvZ1mLIXXLofgSJi+UMkfERERERERETllGgHUSDaHk6WbD/HqTSO9s8Oc7fD5AxCfCle/7koAiYiIiIiIiPgBq1W1aFsqJYAaadG6LC4Y0BGrpZGjf0qOwVf/hMKDcO4DENfEq4mJiIiIiIiINIBhGERGapBCS6UEUCOYpsnCn/Yz9/phjdvRurdg7etw5v9BtzO9E5yIiIiIiIiIyHFKADXCsq2HGd0jnpDAUxwCV14M/7sXIju66vxY9XCIiIiIiIiIiPepCHQjvLpiN9NHdjm1Pz68Dd64GvpdBuPvV/JHRERERERERJqMsg6n6Kc9R+meEE50WGDD/3j927DhXZjyPER19H5wIiIiIiIiIiKVKAFUTfuuBSdt43CavPDVTmZf3LdhO7eVwP/ug7AEuHqBRv2IiIiIiIhIFenpvo5AWitlIBrA4TRZvD6Lt37cy5QhnegYHer5H+dkwEd3w5g7IHVC0wUpIiIiIiIiIlKNEkAecDhNPtpwgDdX7mFCn0Remjm8YYWfN74H696ES5+F6E5NF6iIiIiIiIiISC2UAKomOzMScE0FM3GN+Hlj5R7O7n0KiR9bKXz6BwiOhKvf0JQvERERERERqZd7Cpimgom3aRWwWpnY445S2juDg3mlzL1uODed0a1hyZ/szbDgSkibBBPSlfwRERERERGRJmG327nvvvvo378/w4cPZ/z48axbt46tW7cybtw4DMPg4Ycf5vzzz+e0005jyJAhrF69uso+5s+fz2mnncaZZ57JmDFjeP/99yt+N3nyZGJiYrjnnnu49dZbGTNmDAMHDuSnn35q7lOVRlBWohprx1wCe+3DLA0nZFsPfjE2uWE7ME1Y9R/Y8SVc9iJEJjZNoCIiIiIiIiLAn//8Zz799FNWrFhBREQEL7zwAueeey7bt29n2bJlGIbBu+++yxdffEFoaCh/+ctfuOSSS9ixYwfBwcF88skn3H333axdu5bk5GR27NjBoEGD+Oyzzxg9ejSLFy9m3LhxvPPOO6xYsYLExETuvvtu7rrrLr766itfn754SCOAqjFLgij9ph+BB9tjOBt49xQdgXdmuqZ+Xfmqkj8iIiIiIiLSpEpKSnj00Ue57bbbiIiIAOCmm27C6XTy4osvVrT7xS9+QWioayGjWbNmkZWVxXvvvQfAP/7xD66++mqSk10DIHr06MH48eN55plnqhzr7LPPJjHR9Tl33LhxrF27tqlPT7xICaBqnMciwNGAqV5uO7+Cd2fC2Lvh9NvBortWREREREREmlZGRgalpaWkpqZWbLNarXTt2pUNGzZUbOvSpUvF99HR0cTHx7N582YANm7cyMcff8y4ceMqbrt27aKkpKTKsZKSkiq+j4yMJD8/v6lOy29MmTKF2NhYrrjiilp/v3LlSvr160dqaioPPPBAxfbPPvuMwYMH069fP+66666K7WvWrGHkyJH079+fadOmYbPZmvwc3JSlaCx7OXw2Gza9D9e8CR0H+ToiERERERERkQaZPn06y5Ytq7ht3LiRd999t0obq/XEYAnDMJo7RJ+48847mT9/fp2/v+2223jjjTfYunUrS5YsYcOGDTidTn7xi1/wwQcfsGnTJgoLC/n0008B10isJ554go0bN9KvXz9efvnl5joVJYAa5cgOeOMq6HQaXPQYBIX7OiIRERERERFpQ1JTUwkJCSEjI6Nim8PhIDMzkwEDBlRs27NnT8X3x44d48iRI/Tp0weA/v37s3Xr1ir7/fLLL3n22WebOHr/N27cOCIjI2v9XVZWFna7nYEDB2K1Wrn66qtZvHgxOTk5RERE0LVrV8A1dW7hwoWA63EYOXJkje3NoUFFoE3TxDTNporFL9V6vmUFrhE/Wz6Ci56A6GRX8WeRVsLd19tafxepTn1BRP1AxE19QZqL+ylW+alW32ib0NBQ7rrrLp555hmuvvpqwsPDefnll7FYLPzyl7+saPfqq69yzTXXEBoayuOPP05SUhKXX345AH/4wx+49NJLWbduHYMGDaKoqIj777+ff/zjH144H//qM+54qk9fCw4OJjg4uEH7ysrKolOnThU/d+rUia+++op27dpRVFTEhg0b6Nu3Lx9++CGFhYWAq77SJ598wqRJk3j//ffZv39/I8/Icw1KAOXl5fndg+dt7bsWkJ35MNmZYAC//30AMRTSxXKArpaDxBn5dOs9EHvKGMrPf5YHH/xXvfu77777Kr5/8MEH1VZtW0Rb0zQpLy/nz3/+c8WLjT/Hq7Zq21Rt3X0hKCiooi/4c7xqq7ZN0dY0TR544IEq/cCf41VbtW2qtqZpcvvttwOuD+P+Hq/atvy2eXmun61Wa50jUNweeOABnE4nI0eOJDQ0lPDwcD799FOio6Mr2lx11VVcddVV7Nu3D9M0+eCDDyoSHhMnTuSFF15gxowZREREYLFYuP322xk/fjwAV199NWvXriUzM5OoqCiGDh3KrFmzACpWB2vXrl2tsRUWFuJwOOqNvzm5Ez8pKSlVts+ePZv09HSvHMMwDF577TVuueUW7HY7Y8eOrRih9dJLL3HHHXfwhz/8gfPPP7/KtLqm1qAEUHR0NFFRUU0Vi09FhJdQWGRixc6g+MOMaH+IEYnZ9A12kkcke0jiB0ZwlCjSp/2FQCAUTpohrNzh1FZtW2Jb95v9lhKv2qptU7QNCQnxeQxqq7a+amuaJkFBQVX6gT/Hq7Zq25RtIyIiKt4ftYR41bblt/VUQEAADz74YL3Jpd69e3PLLbfU+fvp06czffr0Wn/35ptv1tjm6Qpg7pXJ/IX7883evXur5DcaOvoHXEWxK4/g2b9/f0Wh7DPOOIPly5cD8Nprr1Uct2/fvixduhSAb7/9li1btpzaiZwCw/RgSE9+fj7R0dHk5eW12gSQm7niWV58YRe/vG8CRsoICI3xdUgizc40TfLy8qokgETaIvUFEfUDETf1BWnJDMPgyy+/ZNy4cb4OxedOJb+xbNkynnrqqRpFsQGGDRvGSy+9RL9+/RgzZgwvvvgiAwYMIDs7m/bt21NYWMg555zDvHnz6N27N4cPH6Zdu3bY7XamTJnCHXfcwbnnnuvt06yVikBXk/7xLbyXPRvSzlXyR0RERERERJpVerrr5g1bt26tSPrMmjWL999/3zs7bkMmTJjA1KlTWbJkCcnJyXz//fdccMEFZGVlAfDUU09xzTXX0LNnT84777yKwttz5syhT58+DB8+nNtvv53evXsDMH/+fHr16kXfvn0ZO3ZssyV/QCOAapg926SsrIw5c4KV2Zc2S1e4RFzUF0TUD0Tc1BekubiTP95KAklVbSm/UZ1GAImIiIiIiIiItHJKAImIiIiIiIiItHJKAImIiIiIiIiItHJKAImIiIiIiIiItHJKAImIiIiIiIiItHJKAImIiIiIiIjISZmmSUFBAR4sJi5+KMDXAfib9HTIyysFgn0dioiIiIiIiLQx/r78u8Ph8HUIcoo0AkhEREREREREpJVTAkhEREREREREpJVTAqia9HR48MEQX4chIiIiIiIibVB6uv9PA5OWSQkgEREREREREZFWTgkgEREREREREZFWTgkgEREREREREZFWTgkgEREREREREZFWTgkgEREREREREZFWTgkgEREREREREZFWTgkgEREREREREZFWLsDXAfib9HTIyysFgn0dioiIiIiIiLQx6em+jkBaK40AEhERERERERFp5ZQAEhERERERERFp5ZQAqiY9HR58MMTXYYiIiIiIiEgblJ6uaWDSNJQAEhERERERERFp5ZQAEhERERERERFp5ZQAEhERERERERFp5ZQAEhERERERERFp5ZQAEhERERERERFp5ZQAEhERERERERFp5ZQAEhERERERERFp5QJ8HYC/SU+HvLxSINjXoYiIiIiIiEgbk57u6wiktdIIIBERERERERGRVk4JIBERERERERGRVk4JoGrS0+HBB0N8HYaIiIiIiIi0QenpmgYmTUMJIBERERERERGRVk4JIBERERERERGRVk4JIBERERERERGRVk4JIBERERERERGRWkyZMoXY2FiuuOKKWn+/cuVK+vXrR2pqKg888EDF9s8++4zBgwfTr18/7rrrrort69atY+TIkQwePJgxY8awc+fOJj8HNyWARERERERERERqceeddzJ//vw6f3/bbbfxxhtvsHXrVpYsWcKGDRtwOp384he/4IMPPmDTpk0UFhby6aefAvDHP/6RBx54gLVr1zJjxgweeuih5joVAhrS2DRNTNNsqlj8Rls5T5G6uPuA+oG0deoLIuoHIm7qC9Jc3E8xf3yqtYZ+4I49Pz+/yvbg4GCCg4NrtB83bhzLli2rdV9ZWVnY7XYGDhwIwNVXX83ixYtJTEwkIiKCrl27AnD22WezcOFCJk6ciGEYFBQUAJCXl0fHjh29dGYn16AEUF5eXot+oD1RWhpMeXk5eXmlGIbh63BEfMI0TQoLCwHUD6RNU18QUT8QcVNfkOZSVhYCQF5eqY8jqak19AN34iclJaXK9tmzZ5Oent6gfWVlZdGpU6eKnzt16sRXX31Fu3btKCoqYsOGDfTt25cPP/yw4n775z//ycSJE5k1axYRERGsXLmycSfUAA1KAEVHRxMVFdVUsfiFOXNM8vJKiY6ObrFPaJHGcid61Q+krVNfEFE/EHFTX5DmMmeO+7uao1F8rTX0A3fce/furZLfqG30T2OO8dprr3HLLbdgt9sZO3YsGRkZADzzzDM899xzXHDBBTz99NPcfffdzJ0712vHrk+DEkCGYbTYB7kh3OfZFs5VpC7qByIu6gsi6gcibuoLIi2/H7jjjoqKavQAl6SkJPbv31/x8/79+0lKSgLgjDPOYPny5QC89tprFcd98803eeKJJwC48sorefrppxsVQ0OoCLSIiIiIiIiISAMlJSVhtVpZv349DoeDN998k4suugiA7OxsAAoLC3nyySe56aabAIiLi2PFihUAfP755/Tq1avZ4m3QCKC2ID3dNefyxLA7ERERERERkebhLkPTwHI00kQmTJjAunXrKCoqIjk5mXfeeYe//vWvzJ07l6SkJJ566imuueYaSktLmTFjBgMGDABgzpw5/O9//wPg/vvvp3fv3gA8//zz3HrrrTidTqKjo3nppZea7VyUABIRERERERERqcXSpUtrbFuyZEnF96NGjWLTpk012jz66KM8+uijNbafddZZrFmzxrtBekhTwEREREREREREWjklgEREREREREREWjklgEREREREREREWjklgEREREREREREWjklgEREREREREREWjklgEREREREREREWjktA19Nejrk5ZUCwb4ORURERERERNqY9PSGtV+WuYzMY5nMHDyzKcKRVkQjgERERERERERaqGWZy3hl7Su+DkNaACWARERERERERERaOU0BqyY9HcrKQpgzx9eRiIiIiIiISFvjngLmyVSwR75/hFfWvsKx0mOMe2UceWV5BFmDWHdwHfeMuYd1h9ZxoOAABeUFPDbpMSalTmrK0MXPKQEkIiIiIiIi0gLdPfpu8svyWZa5jGUzl1Vs7/pYV17f8Do//OIHEsISmLd2Hpe9fRm77txF+/D2vgtYfEpTwERERERERERamWn9p5EQlgDAjEEzCAsMY+5Pc30clfiSEkAiIiIiIiIirUyXmC4V31sMC11jurI5Z7MPIxJfUwJIRERERERERKSVUwJIREREREREpIWyGCc+1pfaS7E5bADsydtTsd1pOsk8lkmfhD7NHp/4DyWARERERERERFqodmHtOFp6FIC7P7mbT3d8CsDCzQs5UnwEgFfXvUqxrZibhtzkszjF97QKWC2+3fct6cu+wTCMWn+fPi79xPfL0mtto7Zq25LbmqZJWVkZcybN8VkMaqu2/tDW3Re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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Open time 2023-02-01 20:00:00\n", - "Open price 1.09898\n", - "Stop loss 1.09998 (10) pips\n", - "Take profit 1.09748 (15) pips\n", - "Time barrier 2023-02-02 04:00:00\n" - ] - } - ], + "outputs": [], "source": [ "# prepare data\n", "\n", @@ -839,7 +721,7 @@ " df.low,\n", " df.close,\n", " 4,\n", - " overlay_features=[ df[\"mva-7\"], \n", + " overlay_features=[ df[\"mva-12\"], \n", " df[\"mva-24\"]])\n", "\n", "\n", @@ -861,92 +743,10 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": null, "id": "5cf15874-8c82-43da-b8c6-ae6589c34007", "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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openhighlowclosevolumemva-7mva-24
date-time
2024-02-02 17:45:001.079321.079401.079301.07940422.211.0794091.079224
2024-02-02 17:50:001.079381.079531.079381.07951687.421.0794041.079252
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" - ], - "text/plain": [ - " open high low close volume mva-7 \\\n", - "date-time \n", - "2024-02-02 17:45:00 1.07932 1.07940 1.07930 1.07940 422.21 1.079409 \n", - "2024-02-02 17:50:00 1.07938 1.07953 1.07938 1.07951 687.42 1.079404 \n", - "\n", - " mva-24 \n", - "date-time \n", - "2024-02-02 17:45:00 1.079224 \n", - "2024-02-02 17:50:00 1.079252 " - ] - }, - "execution_count": 32, - "metadata": {}, - "output_type": "execute_result" - } - ], + "outputs": [], "source": [ "df.iloc[-2:]" ] diff --git a/tests/triple_barrier/integration/conftest.py b/tests/triple_barrier/integration/conftest.py index 31b8afb..f7f26cf 100644 --- a/tests/triple_barrier/integration/conftest.py +++ b/tests/triple_barrier/integration/conftest.py @@ -1,6 +1,3 @@ -# TODO: Move all this logic to a single file - -import os import pytest import logging @@ -19,13 +16,27 @@ def prepare_entry_data(prepare_price_data): return df_entry +def prepare_entry_data_short(prepare_price_data_short): + df = prepare_price_data + + entry_mark = df["entry"] == 1 + df_entry = df[entry_mark].copy(deep=True) + + return df_entry + + @pytest.fixture def prepare_price_data() -> pd.DataFrame: - create_output_folder() - return calculate_test_features() + return calculate_test_features_long() + + +@pytest.fixture() +def prepare_price_data_short() -> pd.DataFrame: + return calculate_test_features_short() -def calculate_test_features() -> pd.DataFrame: +def calculate_test_features_long() -> pd.DataFrame: + file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" columns = ["date-time", "open", "high", "low", "close", "volume"] @@ -34,31 +45,49 @@ def calculate_test_features() -> pd.DataFrame: parse_dates=True, index_col="date-time", header=0) - calculate_entry(price) - calculate_exit(price) + calculate_long_signal(price, "entry") + calculate_short_signal(price, "exit") + + return price + + +def calculate_test_features_short() -> pd.DataFrame: + + file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" + + columns = ["date-time", "open", "high", "low", "close", "volume"] + price = pd.read_csv(file_name, + names=columns, + parse_dates=True, + index_col="date-time", + header=0) + + calculate_short_signal(price, "entry") + calculate_long_signal(price, "exit") + return price -def calculate_entry(price: pd.DataFrame): +def calculate_long_signal(price: pd.DataFrame, output_col_name: str): # calculate entry signal calculate_features(price) mask_signal = (price["mva-12"] > price["mva-24"]) & \ - (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ - (price["close"] > price["open"]) + (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ + (price["close"]> price["open"]) price.loc[mask_signal, "entry-signal"] = 1 - price["entry"] = price["entry-signal"].shift(1) + price[output_col_name] = price["entry-signal"].shift(1) return price -def calculate_exit(price: pd.DataFrame): +def calculate_short_signal(price: pd.DataFrame, output_col_name: str): # calculate entry signal calculate_features(price) mask_signal = (price["mva-12"] < price["mva-24"]) & \ - (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ - (price["close"] < price["open"]) + (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ + (price["close"] < price["open"]) price.loc[mask_signal, "exit-signal"] = 1 - price["exit"] = price["exit-signal"].shift(1) + price[output_col_name] = price["exit-signal"].shift(1) def calculate_features(price: pd.DataFrame): @@ -66,5 +95,3 @@ def calculate_features(price: pd.DataFrame): price["mva-24"] = price["close"].rolling(24).mean().round(5) -def create_output_folder(): - os.makedirs(f"{constants.ROOT_FOLDER}/tests/triple_barrier/integration/output/", exist_ok=True) \ No newline at end of file diff --git a/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py b/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py index 7e423e3..d7f4f36 100644 --- a/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py +++ b/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py @@ -1,10 +1,15 @@ import pandas as pd from triple_barrier.triple_barrier import (TradeSide, - MultiBarrierBuilder + MultiBarrier ) +from triple_barrier.multi_barrier_box import MultiBarrierParameters from triple_barrier import constants OUTPUT_FOLDER: str = f"{constants.ROOT_FOLDER}/tests/triple_barrier/integration/output/" +STOP_LOSS_PIPS: float = 5 +TAKE_PROFIT_PIPS: float = 10 +INSTRUMENT_PIP_POSITION = 4 +TIME_LIMIT_PERIODS = 10 class TestApplyCases: @@ -24,17 +29,24 @@ def calculate_exit(row: any, trade_side: TradeSide, pip_decimal_position: int, time_barrier_periods: int): - barrier_builder = MultiBarrierBuilder(open_price=ohlc.open, - high_price=ohlc.high, - low_price=ohlc.low, - close_price=ohlc.close, - trade_open_datetime=str(row.name), - stop_loss_pips=stop_loss_width, - take_profit_pips=take_profit_width, - trade_side=trade_side, - pip_decimal_position=pip_decimal_position, - time_barrier_periods=time_barrier_periods, - dynamic_exit=ohlc.exit) + + box_setup = MultiBarrierParameters() + + box_setup.open_time = str(row.name) + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit_width + box_setup.stop_loss_width = stop_loss_width + box_setup.time_limit = df[box_setup.open_time:].index[time_barrier_periods] + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + dynamic_exit=ohlc["exit"], + box_setup=box_setup + ) barrier_builder.compute() row["close-price"] = barrier_builder.multi_barrier.first_hit.level @@ -43,48 +55,37 @@ def calculate_exit(row: any, return row - stop_loss_pips = 5 - take_profit_pips = 10 strategy_side = TradeSide.BUY - instrument_pip_position = 4 - time_limit_periods = 10 - pip_factor = 10 ** 4 entry: pd.DataFrame = df[(df.entry == 1)].copy(deep=True) entry = entry.apply(calculate_exit, - args=(entry, - stop_loss_pips, - take_profit_pips, + args=(df, + STOP_LOSS_PIPS, + TAKE_PROFIT_PIPS, strategy_side, - instrument_pip_position, - time_limit_periods), + INSTRUMENT_PIP_POSITION, + TIME_LIMIT_PERIODS), axis=1) - mask_take_profit_hits = entry["close-type"] == "take-profit" - sum_take_profit_hits = ( - entry[mask_take_profit_hits]["close-price"] - entry[mask_take_profit_hits][ - "open"]).sum() * pip_factor + entry["profit"] = entry["close-price"] - entry["open"] + grouped = entry.groupby("close-type")["profit"].sum() - mask_stop_loss_hits = entry["close-type"] == "stop-loss" - sum_stop_loss_hits = ( - entry[mask_stop_loss_hits]["close-price"] - entry[mask_stop_loss_hits][ - "open"]).sum() * pip_factor + entry.to_parquet(f"{OUTPUT_FOLDER}base_case_long.parquet") assert {"close-price", "close-datetime", "close-type"}.issubset(entry.columns) - assert round(sum_take_profit_hits, 0) == 4870 - assert round(sum_stop_loss_hits, 0) == -3110 + assert round(grouped["dynamic"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -15.7 + assert round(grouped["stop-loss"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -2345.0 + assert round(grouped["take-profit"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 1490.0 + assert round(grouped["time-barrier"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 682.0 - entry.to_parquet(f"{OUTPUT_FOLDER}base_case_long.parquet") - - def test_base_case_short(self, prepare_price_data): + def test_base_case_short(self, prepare_price_data_short): """ + Base case long: - Base case short - - Short trade setup passing fix take profit, stop loss levels, and time barrier limit + Long trade setup passing fix take profit, stop loss levels, and time barrier limit """ - df = prepare_price_data + df = prepare_price_data_short def calculate_exit(row: any, ohlc: pd.DataFrame, @@ -93,17 +94,24 @@ def calculate_exit(row: any, trade_side: TradeSide, pip_decimal_position: int, time_barrier_periods: int): - barrier_builder = MultiBarrierBuilder(open_price=ohlc.open, - high_price=ohlc.high, - low_price=ohlc.low, - close_price=ohlc.close, - trade_open_datetime=str(row.name), - stop_loss_pips=stop_loss_width, - take_profit_pips=take_profit_width, - trade_side=trade_side, - pip_decimal_position=pip_decimal_position, - time_barrier_periods=time_barrier_periods, - dynamic_exit=ohlc.exit) + + box_setup = MultiBarrierParameters() + + box_setup.open_time = str(row.name) + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit_width + box_setup.stop_loss_width = stop_loss_width + box_setup.time_limit = df[box_setup.open_time:].index[time_barrier_periods] + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + dynamic_exit=ohlc["exit"], + box_setup=box_setup + ) barrier_builder.compute() row["close-price"] = barrier_builder.multi_barrier.first_hit.level @@ -112,96 +120,25 @@ def calculate_exit(row: any, return row - stop_loss_pips = 5 - take_profit_pips = 10 strategy_side = TradeSide.SELL - instrument_pip_position = 4 - time_limit_periods = 10 - pip_factor = 10 ** 4 entry: pd.DataFrame = df[(df.entry == 1)].copy(deep=True) entry = entry.apply(calculate_exit, - args=(entry, - stop_loss_pips, - take_profit_pips, + args=(df, + STOP_LOSS_PIPS, + TAKE_PROFIT_PIPS, strategy_side, - instrument_pip_position, - time_limit_periods), + INSTRUMENT_PIP_POSITION, + TIME_LIMIT_PERIODS), axis=1) - mask_take_profit_hits = entry["close-type"] == "take-profit" - sum_take_profit_hits = ( - entry[mask_take_profit_hits]["open"] - entry[mask_take_profit_hits][ - "close-price"]).sum() * pip_factor - - mask_stop_loss_hits = entry["close-type"] == "stop-loss" - sum_stop_loss_hits = ( - entry[mask_stop_loss_hits]["open"] - entry[mask_stop_loss_hits][ - "close-price"]).sum() * pip_factor - - assert {"close-price", "close-datetime", "close-type"}.issubset(entry.columns) - assert round(sum_take_profit_hits, 0) == 4280 - assert round(sum_stop_loss_hits, 0) == -3405 + entry["profit"] = (entry["open"] - entry["close-price"])*10**INSTRUMENT_PIP_POSITION + grouped = entry.groupby("close-type")["profit"].sum() entry.to_parquet(f"{OUTPUT_FOLDER}base_case_short.parquet") - def test_dynamic_stop_loss_case_long(self, prepare_price_data): - """ - - Alternative case: dynamic stop loss long - - Short trade setup passing fix take profit, stop loss levels, and time barrier limit - - """ - df = prepare_price_data - - def calculate_exit(row: any, - ohlc: pd.DataFrame, - take_profit_width: float, - trade_side: TradeSide, - pip_decimal_position: int, - time_barrier_periods: int): - barrier_builder = MultiBarrierBuilder(open_price=ohlc.open, - high_price=ohlc.high, - low_price=ohlc.low, - close_price=ohlc.close, - trade_open_datetime=str(row.name), - stop_loss_level=row["mva-24"], - take_profit_pips=take_profit_width, - trade_side=trade_side, - pip_decimal_position=pip_decimal_position, - time_barrier_periods=time_barrier_periods, - dynamic_exit=ohlc.exit) - barrier_builder.compute() - - row["close-price"] = barrier_builder.multi_barrier.first_hit.level - row["close-datetime"] = barrier_builder.multi_barrier.first_hit.hit_datetime - row["close-type"] = barrier_builder.multi_barrier.first_hit.barrier_type.value - - return row - - take_profit_pips = 10 - strategy_side = TradeSide.BUY - instrument_pip_position = 4 - time_limit_periods = 10 - pip_factor = 10 ** 4 - - entry: pd.DataFrame = df[(df.entry == 1)].copy(deep=True) - entry = entry.apply(calculate_exit, - args=(entry, - take_profit_pips, - strategy_side, - instrument_pip_position, - time_limit_periods), - axis=1) - - mask_stop_loss_hits = entry["close-type"] == "stop-loss" - sum_diff_sl = (entry[mask_stop_loss_hits]["mva-24"] - entry[mask_stop_loss_hits][ - "close-price"]).sum() - assert {"close-price", "close-datetime", "close-type"}.issubset(entry.columns) - assert sum_diff_sl == 0 - - entry.to_parquet(f"{OUTPUT_FOLDER}alternative_case_dynamic_stop_loss_long.parquet") - - + assert round(grouped["dynamic"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -15.7 + assert round(grouped["stop-loss"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -2345.0 + assert round(grouped["take-profit"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 1490.0 + assert round(grouped["time-barrier"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 682.0 \ No newline at end of file diff --git a/tests/triple_barrier/unit/conftest.py b/tests/triple_barrier/unit/conftest.py index e16f158..a7254c7 100644 --- a/tests/triple_barrier/unit/conftest.py +++ b/tests/triple_barrier/unit/conftest.py @@ -18,10 +18,14 @@ def prepare_entry_data(prepare_price_data): @pytest.fixture def prepare_price_data() -> pd.DataFrame: - return calculate_test_features() + return calculate_test_features_long() -def calculate_test_features() -> pd.DataFrame: +def prepare_price_data_short() -> pd.DataFrame: + return calculate_test_features_short() + + +def calculate_test_features_long() -> pd.DataFrame: file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" @@ -31,31 +35,49 @@ def calculate_test_features() -> pd.DataFrame: parse_dates=True, index_col="date-time", header=0) - calculate_entry(price) - calculate_exit(price) + calculate_long_signal(price, "entry") + calculate_short_signal(price, "exit") + + return price + + +def calculate_test_features_short() -> pd.DataFrame: + + file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" + + columns = ["date-time", "open", "high", "low", "close", "volume"] + price = pd.read_csv(file_name, + names=columns, + parse_dates=True, + index_col="date-time", + header=0) + + calculate_short_signal(price, "entry") + calculate_long_signal(price, "exit") + return price -def calculate_entry(price: pd.DataFrame): +def calculate_long_signal(price: pd.DataFrame, output_col_name: str): # calculate entry signal calculate_features(price) mask_signal = (price["mva-12"] > price["mva-24"]) & \ (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ (price["close"]> price["open"]) price.loc[mask_signal, "entry-signal"] = 1 - price["entry"] = price["entry-signal"].shift(1) + price[output_col_name] = price["entry-signal"].shift(1) return price -def calculate_exit(price: pd.DataFrame): +def calculate_short_signal(price: pd.DataFrame, output_col_name: str): # calculate entry signal calculate_features(price) mask_signal = (price["mva-12"] < price["mva-24"]) & \ (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ - (price["close"]< price["open"]) + (price["close"] < price["open"]) price.loc[mask_signal, "exit-signal"] = 1 - price["exit"] = price["exit-signal"].shift(1) + price[output_col_name] = price["exit-signal"].shift(1) def calculate_features(price: pd.DataFrame): diff --git a/tests/triple_barrier/unit/test_multibarrier_box_happy_path.py b/tests/triple_barrier/unit/test_multibarrier_box_happy_path.py new file mode 100644 index 0000000..0d14db2 --- /dev/null +++ b/tests/triple_barrier/unit/test_multibarrier_box_happy_path.py @@ -0,0 +1,94 @@ +from dateutil import parser + +from triple_barrier.multi_barrier_box import MultiBarrierParameters +from triple_barrier.multi_barrier_box import MultiBarrierBox +from triple_barrier.multi_barrier_box import BoxBuilder +from triple_barrier.multi_barrier_types import TradeSide + + +class TestMultiBarrierBox: + + def test_builder_long_levels(self): + + parameters = MultiBarrierParameters() + parameters.open_time = "2023-01-02 02:05:00" + parameters.trade_side = TradeSide.BUY + parameters.open_price = 1.07044 + parameters.stop_loss_level = 1.06044 + parameters.take_profit_level = 1.09044 + parameters.time_limit = "2023-01-02 03:05:00" + parameters.pip_decimal_position = 4 + + box_builder = BoxBuilder() + multi_barrier_box = box_builder.build_multi_barrier_box(parameters) + + assert multi_barrier_box.open_datetime == parser.parse("2023-01-02 02:05:00") + assert multi_barrier_box.stop_loss == 1.06044 + assert multi_barrier_box.take_profit == 1.09044 + assert multi_barrier_box.trade_side == TradeSide.BUY + assert multi_barrier_box.time_limit == parser.parse("2023-01-02 03:05:00") + assert multi_barrier_box.pip_decimal_position == 4 + + def test_builder_short_levels(self): + + parameters = MultiBarrierParameters() + parameters.open_time = "2023-01-02 02:05:00" + parameters.trade_side = TradeSide.SELL + parameters.open_price = 1.07044 + parameters.stop_loss_level = 1.09044 + parameters.take_profit_level = 1.06044 + parameters.time_limit = "2023-01-02 03:05:00" + parameters.pip_decimal_position = 4 + + box_builder = BoxBuilder() + multi_barrier_box = box_builder.build_multi_barrier_box(parameters) + + assert multi_barrier_box.open_datetime == parser.parse("2023-01-02 02:05:00") + assert multi_barrier_box.stop_loss == 1.09044 + assert multi_barrier_box.take_profit == 1.06044 + assert multi_barrier_box.trade_side == TradeSide.SELL + assert multi_barrier_box.time_limit == parser.parse("2023-01-02 03:05:00") + assert multi_barrier_box.pip_decimal_position == 4 + + def test_builder_long_width(self): + + parameters = MultiBarrierParameters() + parameters.open_time = "2023-01-02 02:05:00" + parameters.trade_side = TradeSide.BUY + parameters.open_price = 1.07044 + parameters.stop_loss_width = 100 + parameters.take_profit_width = 200 + parameters.time_limit = "2023-01-02 03:05:00" + parameters.pip_decimal_position = 4 + + box_builder = BoxBuilder() + multi_barrier_box = box_builder.build_multi_barrier_box(parameters) + + assert multi_barrier_box.open_datetime == parser.parse("2023-01-02 02:05:00") + assert multi_barrier_box.stop_loss == 1.06044 + assert multi_barrier_box.take_profit == 1.09044 + assert multi_barrier_box.trade_side == TradeSide.BUY + assert multi_barrier_box.time_limit == parser.parse("2023-01-02 03:05:00") + assert multi_barrier_box.pip_decimal_position == 4 + + def test_builder_short_width(self): + + parameters = MultiBarrierParameters() + parameters.open_time = "2023-01-02 02:05:00" + parameters.trade_side = TradeSide.SELL + parameters.open_price = 1.07044 + parameters.stop_loss_width = 200 + parameters.take_profit_width = 100 + parameters.time_limit = "2023-01-02 03:05:00" + parameters.pip_decimal_position = 4 + + box_builder = BoxBuilder() + multi_barrier_box = box_builder.build_multi_barrier_box(parameters) + + assert multi_barrier_box.open_datetime == parser.parse("2023-01-02 02:05:00") + assert multi_barrier_box.stop_loss == 1.09044 + assert multi_barrier_box.take_profit == 1.06044 + assert multi_barrier_box.trade_side == TradeSide.SELL + assert multi_barrier_box.time_limit == parser.parse("2023-01-02 03:05:00") + assert multi_barrier_box.pip_decimal_position == 4 + diff --git a/tests/triple_barrier/unit/test_plots_happy_path.py b/tests/triple_barrier/unit/test_plots_happy_path.py index a14725e..27e75b9 100644 --- a/tests/triple_barrier/unit/test_plots_happy_path.py +++ b/tests/triple_barrier/unit/test_plots_happy_path.py @@ -1,9 +1,5 @@ -from dateutil import parser -import pandas as pd - from triple_barrier import constants from triple_barrier.plots import PlotTripleBarrier -from triple_barrier.triple_barrier import TradeSide class TestPlots: @@ -27,5 +23,5 @@ def test_build_ohlc(self, prepare_price_data): assert (ohlc[constants.CLOSE] - df[constants.CLOSE]).sum() == 0 - +# TODO: Add tests with asserts comparing images diff --git a/tests/triple_barrier/unit/test_stop_loss_error_path.py b/tests/triple_barrier/unit/test_stop_loss_error_path.py deleted file mode 100644 index 8df91ef..0000000 --- a/tests/triple_barrier/unit/test_stop_loss_error_path.py +++ /dev/null @@ -1,25 +0,0 @@ -import pytest -from triple_barrier.triple_barrier import (TradeSide, - StopLoss, - ) - - -class TestTakeProfitError: - - def test_level_and_width(self, prepare_price_data, prepare_entry_data): - df = prepare_price_data - - trade_open_datetime: str = "2023-01-02 20:45:00" - - with pytest.raises(ValueError) as error_instance: - take_profit_barrier = StopLoss(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - open_datetime=trade_open_datetime, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - stop_loss_width=5, - stop_loss_level=1.1300 - ) - assert "Either" in str(error_instance.value) diff --git a/tests/triple_barrier/unit/test_stop_loss_happy_path.py b/tests/triple_barrier/unit/test_stop_loss_happy_path.py index 1cee1e5..b057ad7 100644 --- a/tests/triple_barrier/unit/test_stop_loss_happy_path.py +++ b/tests/triple_barrier/unit/test_stop_loss_happy_path.py @@ -1,8 +1,6 @@ - from dateutil import parser -from triple_barrier.triple_barrier import (TradeSide, - StopLoss, - ) +from triple_barrier.triple_barrier import StopLoss +from triple_barrier.multi_barrier_types import TradeSide class TestStopLoss: @@ -18,7 +16,7 @@ def test_static_sl_hit_long(self, prepare_price_data, prepare_entry_data): open_datetime=trade_open_datetime, trade_side=TradeSide.BUY, pip_decimal_position=4, - stop_loss_width=5 + stop_loss=1.06697 ) stop_loss_barrier.compute() @@ -37,7 +35,7 @@ def test_static_sl_hit_short(self, prepare_price_data, prepare_entry_data): open_datetime=trade_open_datetime, trade_side=TradeSide.SELL, pip_decimal_position=4, - stop_loss_width=5 + stop_loss=1.05535 ) stop_loss_barrier.compute() diff --git a/tests/triple_barrier/unit/test_take_profit_error_path.py b/tests/triple_barrier/unit/test_take_profit_error_path.py deleted file mode 100644 index cdc99de..0000000 --- a/tests/triple_barrier/unit/test_take_profit_error_path.py +++ /dev/null @@ -1,25 +0,0 @@ -import pytest -from triple_barrier.triple_barrier import (TradeSide, - TakeProfit, - ) - - -class TestTakeProfitError: - - def test_level_and_width(self, prepare_price_data, prepare_entry_data): - df = prepare_price_data - - trade_open_datetime: str = "2023-01-02 20:45:00" - - with pytest.raises(ValueError) as error_instance: - take_profit_barrier = TakeProfit(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - open_datetime=trade_open_datetime, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - take_profit_width=5, - take_profit_level=1.1300 - ) - assert "Either" in str(error_instance.value) diff --git a/tests/triple_barrier/unit/test_take_profit_happy_path.py b/tests/triple_barrier/unit/test_take_profit_happy_path.py index b66a34b..8b95c7c 100644 --- a/tests/triple_barrier/unit/test_take_profit_happy_path.py +++ b/tests/triple_barrier/unit/test_take_profit_happy_path.py @@ -1,8 +1,11 @@ +from datetime import datetime +from dateutil import parser + import numpy as np import pandas as pd -from dateutil import parser -from triple_barrier.triple_barrier import (TradeSide, - TakeProfit,) + +from triple_barrier.triple_barrier import TakeProfit +from triple_barrier.multi_barrier_types import TradeSide from triple_barrier import constants @@ -11,7 +14,7 @@ class TestTakeProfit: def test_static_tp_hit_long(self, prepare_price_data, prepare_entry_data): df = prepare_price_data - trade_open_datetime: str = "2023-01-02 20:45:00" + trade_open_datetime: datetime = pd.to_datetime("2023-01-02 20:45:00") take_profit_barrier = TakeProfit(open_price=df.open, high_price=df.high, @@ -20,7 +23,7 @@ def test_static_tp_hit_long(self, prepare_price_data, prepare_entry_data): open_datetime=trade_open_datetime, trade_side=TradeSide.BUY, pip_decimal_position=4, - take_profit_width=5 + take_profit=1.06759 ) take_profit_barrier.compute() @@ -31,7 +34,7 @@ def test_static_tp_hit_long(self, prepare_price_data, prepare_entry_data): def test_static_tp_hit_short(self, prepare_price_data, prepare_entry_data): df = prepare_price_data - trade_open_datetime: str = "2023-01-02 22:00:00" + trade_open_datetime: datetime = pd.to_datetime("2023-01-02 22:00:00") take_profit_barrier = TakeProfit(open_price=df.open, high_price=df.high, @@ -40,7 +43,7 @@ def test_static_tp_hit_short(self, prepare_price_data, prepare_entry_data): open_datetime=trade_open_datetime, trade_side=TradeSide.SELL, pip_decimal_position=4, - take_profit_width=10 + take_profit=1.06609 ) take_profit_barrier.compute() @@ -48,62 +51,8 @@ def test_static_tp_hit_short(self, prepare_price_data, prepare_entry_data): assert take_profit_barrier.barrier.level == 1.06609 assert take_profit_barrier.barrier.hit_datetime == parser.parse("2023-01-02 22:05:00") - def test_take_profit_level_hit_short(self, prepare_price_data, prepare_entry_data): - df = prepare_price_data - - trade_open_datetime: str = "2023-01-02 22:00:00" - - take_profit_barrier = TakeProfit(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - open_datetime=trade_open_datetime, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - take_profit_level=1.06609 - ) - - take_profit_barrier.compute() - - assert take_profit_barrier.barrier.level == 1.06609 - assert take_profit_barrier.barrier.hit_datetime == parser.parse("2023-01-02 22:05:00") - - def test_take_profit_no_level_no_width_short(self, prepare_price_data, prepare_entry_data): - df = prepare_price_data - - trade_open_datetime: str = "2023-01-02 22:00:00" - take_profit_barrier = TakeProfit(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - open_datetime=trade_open_datetime, - trade_side=TradeSide.SELL, - pip_decimal_position=4 - ) - - take_profit_barrier.compute() - assert take_profit_barrier.barrier.level == -np.inf - assert take_profit_barrier.barrier.hit_datetime == constants.INFINITE_DATE - - def test_take_profit_no_level_no_width_long(self, prepare_price_data, prepare_entry_data): - df = prepare_price_data - - trade_open_datetime: str = "2023-01-02 22:00:00" - - take_profit_barrier = TakeProfit(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - open_datetime=trade_open_datetime, - trade_side=TradeSide.BUY, - pip_decimal_position=4 - ) - - take_profit_barrier.compute() - assert take_profit_barrier.barrier.level == np.inf - assert take_profit_barrier.barrier.hit_datetime == constants.INFINITE_DATE diff --git a/tests/triple_barrier/unit/test_time_barrier_happy_path.py b/tests/triple_barrier/unit/test_time_barrier_happy_path.py index d62a406..29162a2 100644 --- a/tests/triple_barrier/unit/test_time_barrier_happy_path.py +++ b/tests/triple_barrier/unit/test_time_barrier_happy_path.py @@ -1,3 +1,4 @@ +from datetime import datetime from dateutil import parser from triple_barrier.triple_barrier import ( TimeBarrier, @@ -7,10 +8,13 @@ class TestTimeBarrier: def test_time_barrier_hit(self, prepare_price_data): - trade_open_datetime: str = "2023-01-02 20:45:00" df = prepare_price_data + trade_open_datetime: str = "2023-01-02 20:45:00" + time_barrier_periods: int = 10 + time_limit_date: datetime = df[trade_open_datetime:].index[time_barrier_periods] + time_barrier = TimeBarrier(close_price=df.close, - time_barrier_periods=10, + time_limit_date=time_limit_date, open_datetime=trade_open_datetime) time_barrier.compute() diff --git a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py index 6c09a86..f7676b4 100644 --- a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py +++ b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py @@ -1,55 +1,77 @@ - import pandas as pd from dateutil import parser from triple_barrier.triple_barrier import (TradeSide, BarrierType, - TimeBarrier, - DynamicBarrier, - MultiBarrierBuilder + MultiBarrier, ) +from triple_barrier.multi_barrier_box import MultiBarrierParameters class TestTripleBarrier: - def test_full_barrier_hit_take_profit_long(self, prepare_price_data): + def test_full_barrier_hit_take_profit_long_width(self, prepare_price_data): """ Test full barrier for a long trade that hits take profit, with stop loss and take profit distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=5, - stop_loss_pips=5, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - time_barrier_periods=10, - dynamic_exit=df.exit) + + stop_loss: float = 5 + take_profit: float = 5 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.BUY + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = df[box_setup.open_time:].index[10] + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + dynamic_exit=df.exit, + box_setup=box_setup) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TAKE_PROFIT assert barrier_builder.multi_barrier.first_hit.level == 1.06759 assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") - def test_full_barrier_stop_loss_short(self, prepare_price_data): + def test_full_barrier_stop_loss_short_width(self, prepare_price_data): """ Test full barrier for a short trade that hits stop loss, with stop loss and take profit distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=5, - stop_loss_pips=5, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - time_barrier_periods=10) + + stop_loss: float = 5 + take_profit: float = 5 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.SELL + time_barrier_periods: int = 10 + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = df[box_setup.open_time:].index[time_barrier_periods] + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup + ) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.STOP_LOSS @@ -62,21 +84,32 @@ def test_full_barrier_time_barrier_short(self, prepare_price_data): distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=20, - stop_loss_pips=20, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - time_barrier_periods=10) + stop_loss: float = 20 + take_profit: float = 25 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.SELL + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = "2023-01-02 23:00:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup + ) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TIME_BARRIER - assert barrier_builder.multi_barrier.first_hit.level == 1.06710 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 21:35:00") + assert barrier_builder.multi_barrier.first_hit.level == 1.0663 + assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 23:00:00") def test_full_barrier_time_barrier_hit_long(self, prepare_price_data): """ @@ -84,16 +117,28 @@ def test_full_barrier_time_barrier_hit_long(self, prepare_price_data): distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=20, - stop_loss_pips=20, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - time_barrier_periods=10) + + stop_loss: float = 20 + take_profit: float = 20 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.BUY + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = "2023-01-02 21:35:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup + ) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TIME_BARRIER @@ -106,17 +151,29 @@ def test_full_barrier_dynamic_hit_long(self, prepare_price_data): distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=20, - stop_loss_pips=20, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - time_barrier_periods=10, - dynamic_exit=df["exit-signal"]) + + stop_loss: float = 20 + take_profit: float = 20 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.BUY + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = "2023-01-02 21:35:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup, + dynamic_exit=df["exit-signal"] + ) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.DYNAMIC @@ -129,85 +186,67 @@ def test_full_barrier_dynamic_hit_short(self, prepare_price_data): distance in pips. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=20, - stop_loss_pips=20, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - time_barrier_periods=10, - dynamic_exit=df["exit-signal"]) + trade_open_datetime: str = "2023-01-02 20:45:00" + trade_side: TradeSide = TradeSide.SELL + + stop_loss: float = 20 + take_profit: float = 20 + open_datetime: str = "2023-01-02 20:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.SELL + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = "2023-01-02 21:35:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup, + dynamic_exit=df["exit-signal"] + ) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.DYNAMIC assert barrier_builder.multi_barrier.first_hit.level == 1.06766 assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 21:05:00") - def test_time_barrier_take_profit_hit_long(self, prepare_price_data): + def test_sl_tp_levels_long_tp_level(self, prepare_price_data): """ - Test no stop loss barrier for a long trade that hits take profit barrier, with take profit - distance in pips. + Test full barrier for a long trade that hits take profit, with stop loss distance in pips and take profit + as price level. """ - df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - take_profit_pips=5, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - time_barrier_periods=10, - dynamic_exit=df.exit) - barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TAKE_PROFIT - assert barrier_builder.multi_barrier.first_hit.level == 1.06759 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") + stop_loss: float = 1.0641 + take_profit: float = 1.0671 + open_datetime: str = "2023-01-02 22:45:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.BUY - def test_time_barrier_stop_loss_hit_short(self, prepare_price_data): - """ - Test no take profit barrier for a short trade that hits stop loss barrier, with take profit - distance in pips. - """ - df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 20:45:00", - stop_loss_pips=5, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - time_barrier_periods=10, - dynamic_exit=df.exit) + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_level = take_profit + box_setup.stop_loss_level = stop_loss + box_setup.time_limit = "2023-01-03 01:00:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position - barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.STOP_LOSS - assert barrier_builder.multi_barrier.first_hit.level == 1.06759 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup, + dynamic_exit=df["exit-signal"] + ) - def test_sl_tp_levels_long_tp_level(self, prepare_price_data): - """ - Test full barrier for a long trade that hits take profit, with stop loss distance in pips and take profit - as price level. - """ - df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-02 22:45:00", - take_profit_level=1.0671, - stop_loss_level=1.0641, - trade_side=TradeSide.BUY, - pip_decimal_position=4, - time_barrier_periods=30, - dynamic_exit=df.exit) barrier_builder.compute() assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TAKE_PROFIT assert barrier_builder.multi_barrier.first_hit.level == 1.0671 @@ -219,22 +258,35 @@ def test_sl_tp_levels_long_short_sl_level(self, prepare_price_data): distance in pips and stop loss as price level. """ df = prepare_price_data - barrier_builder = MultiBarrierBuilder(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - trade_open_datetime="2023-01-03 20:30:00", - take_profit_level=1.0525, - stop_loss_level=1.05549, - trade_side=TradeSide.SELL, - pip_decimal_position=4, - time_barrier_periods=10) + stop_loss: float = 1.05549 + take_profit: float = 1.0525 + open_datetime: str = "2023-01-03 20:30:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.SELL + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_level = take_profit + box_setup.stop_loss_level = stop_loss + box_setup.time_limit = "2023-01-03 23:00:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup + ) barrier_builder.compute() + assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.STOP_LOSS assert barrier_builder.multi_barrier.first_hit.level == 1.05549 assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-03 21:05:00") + + # TODO: Add more tests # case 2.3 Take profit + Time barrier short, hit time barrier diff --git a/triple_barrier/multi_barrier_box.py b/triple_barrier/multi_barrier_box.py new file mode 100644 index 0000000..51c5c0b --- /dev/null +++ b/triple_barrier/multi_barrier_box.py @@ -0,0 +1,141 @@ +""" +Implements a Builder parameter for the MultiBarrierBox +""" + +from datetime import datetime + +import pandas as pd + +from triple_barrier.multi_barrier_types import TradeSide + + +class MultiBarrierParameters: + + def __init__(self): + self.open_time: str | None = None + self.open_price: float | None = None + self.trade_side: TradeSide | None = None + self.take_profit_width: float | None = None + self.take_profit_level: float | None = None + self.stop_loss_width: float | None = None + self.stop_loss_level: float | None = None + self.time_limit: str | None = None + self.pip_decimal_position: int | None = None + + +class MultiBarrierBox: + + def __init__(self, + trade_side: TradeSide, + open_datetime: datetime, + open_price: float, + stop_loss: float, + take_profit: float, + time_limit: datetime, + pip_decimal_position: int + ): + + self.open_datetime: datetime = open_datetime + self.open_price: float = open_price + self.stop_loss: float = stop_loss + self.take_profit: float = take_profit + self.trade_side: TradeSide = trade_side + self.time_limit: datetime = time_limit + self.pip_decimal_position = pip_decimal_position + + +class BoxBuilder: + + def __init__(self): + self._open_datetime: datetime | None = None + self._open_price: float | None = None + self._stop_loss: float | None = None + self._take_profit: float | None = None + self._trade_side: TradeSide | None = None + self._time_limit: datetime | None = None + self._pip_decimal_position: int | None = None + + def build_multi_barrier_box(self, + multi_barrier_parameters: MultiBarrierParameters + ) -> MultiBarrierBox: + + self.open_date_time(multi_barrier_parameters.open_time) + self.open_price(multi_barrier_parameters.open_price) + self.trade_side(multi_barrier_parameters.trade_side) + self.take_profit(multi_barrier_parameters.trade_side, + multi_barrier_parameters.open_price, + multi_barrier_parameters.take_profit_width, + multi_barrier_parameters.take_profit_level, + multi_barrier_parameters.pip_decimal_position) + self.stop_loss(multi_barrier_parameters.trade_side, + multi_barrier_parameters.open_price, + multi_barrier_parameters.stop_loss_width, + multi_barrier_parameters.stop_loss_level, + multi_barrier_parameters.pip_decimal_position) + self.time_limit(multi_barrier_parameters.time_limit) + self.pip_decimal_position(multi_barrier_parameters.pip_decimal_position) + return MultiBarrierBox(self._trade_side, + self._open_datetime, + self._open_price, + self._stop_loss, + self._take_profit, + self._time_limit, + self._pip_decimal_position) + + def open_date_time(self, open_date_time: str): + self._open_datetime = pd.to_datetime(open_date_time) + + def open_price(self, open_price: float): + self._open_price = open_price + + def stop_loss(self, + trade_side: TradeSide, + open_price: float, + stop_loss_width: float = None, + stop_loss_level: float = None, + pip_decimal_position: float = None): + + if stop_loss_width is not None and stop_loss_level is not None: + raise ValueError("Either stop_loss_level or stop_loss_width can be specified but not both") + if pip_decimal_position is None: + raise ValueError("You need to specify pip_factor") + if stop_loss_width is not None: + self._stop_loss = open_price - trade_side.value*stop_loss_width*(10**-pip_decimal_position) + elif stop_loss_level is not None: + self._stop_loss = stop_loss_level + else: + raise ValueError("Neither stop_loss_level or stop_loss_width were passed as parameter") + + def take_profit(self, + trade_side: TradeSide, + open_price: float, + take_profit_width: float = None, + take_profit_level: float = None, + pip_decimal_position: float = None): + if take_profit_level is None and take_profit_width is None: + raise ValueError("Either take_profit_level or take_profit_width can be specified but not both") + + if pip_decimal_position is None: + raise ValueError("You need to specify pip_decimal_position") + + if take_profit_width is not None: + self._take_profit = open_price + trade_side.value*take_profit_width*(10**-pip_decimal_position) + elif take_profit_level is not None: + self._take_profit = take_profit_level + else: + raise ValueError("You need to pass take_level or take_profit_width as parameter") + + def trade_side(self, + trade_side: TradeSide): + self._trade_side = trade_side + + def time_limit(self, + time_limit_datetime: str + ): + + self._time_limit = pd.to_datetime(time_limit_datetime) + + def pip_decimal_position(self, pip_decimal_position: int): + self._pip_decimal_position = pip_decimal_position + + diff --git a/triple_barrier/multi_barrier_types.py b/triple_barrier/multi_barrier_types.py new file mode 100644 index 0000000..ab2c0dd --- /dev/null +++ b/triple_barrier/multi_barrier_types.py @@ -0,0 +1,42 @@ +from enum import Enum +from datetime import datetime + + +class BarrierType(Enum): + TAKE_PROFIT = "take-profit" + STOP_LOSS = "stop-loss" + TIME_BARRIER = "time-barrier" + DYNAMIC = "dynamic" + + +class ExitType(Enum): + TAKE_PROFIT_HIT = "take-profit-hit" + STOP_LOSS_HIT = "stop-loss-hit" + TIME_BARRIER_HIT = "tme-barrier-hit" + DYNAMIC_BARRIER_HIT = "dynamic-barrier-hit" + + +class TradeSide(Enum): + BUY = 1 + SELL = -1 + + +class BarrierHit: + + def __init__(self, + level: float | None = None, + hit_datetime: datetime | None = None, + barrier_type: BarrierType | None = None + ): + self.level: float = level + self.hit_datetime: datetime = hit_datetime + self.barrier_type: BarrierType = barrier_type + + def __str__(self): + return f"datetime: {self.hit_datetime}, level {self.level}, type {self.barrier_type.value}" + + +class MultiBarrierHit: + def __init__(self) -> None: + self.barriers: list[BarrierHit] = [] + self.first_hit: BarrierHit = BarrierHit() \ No newline at end of file diff --git a/triple_barrier/plots.py b/triple_barrier/plots.py index 44e05c8..b87e50c 100644 --- a/triple_barrier/plots.py +++ b/triple_barrier/plots.py @@ -9,6 +9,8 @@ import mplfinance as mpf from triple_barrier.triple_barrier import BarrierHit +from triple_barrier.triple_barrier import MultiBarrierHit +from triple_barrier.multi_barrier_box import MultiBarrierBox from triple_barrier import constants @@ -48,15 +50,22 @@ def build_ohlc(open_price: pd.Series, columns=["open", "high", "low", "close"]) return ohlc - def plot(self, - entry_period: str, - take_profit_level: float, - stop_loss_level: float, - time_barrier_datetime: str, - periods_to_plot: int = 50, - dynamic_exit_price: float | None = None, - closing_event: BarrierHit | None = None - ): + def plot_multy_barrier(self, + box_setup: MultiBarrierBox, + multi_barrier_hit: MultiBarrierHit): + self._plot(box_setup.open_datetime, + box_setup.take_profit) + + + def _plot(self, + entry_period: str, + take_profit_level: float, + stop_loss_level: float, + time_barrier_datetime: str, + periods_to_plot: int = 50, + dynamic_exit_price: float | None = None, + closing_event: BarrierHit | None = None + ): date_from: datetime = pd.to_datetime(entry_period) date_to: datetime = self.ohlc[entry_period:].index[periods_to_plot - 1] diff --git a/triple_barrier/triple_barrier.py b/triple_barrier/triple_barrier.py index 386e443..cc7030b 100644 --- a/triple_barrier/triple_barrier.py +++ b/triple_barrier/triple_barrier.py @@ -5,63 +5,24 @@ import numpy as np from triple_barrier import constants +from triple_barrier.multi_barrier_box import BoxBuilder +from triple_barrier.multi_barrier_box import MultiBarrierParameters +from triple_barrier.multi_barrier_box import MultiBarrierBox +from triple_barrier.multi_barrier_types import MultiBarrierHit +from triple_barrier.multi_barrier_types import BarrierHit +from triple_barrier.multi_barrier_types import BarrierType +from triple_barrier.multi_barrier_types import TradeSide -class BarrierType(Enum): - TAKE_PROFIT = "take-profit" - STOP_LOSS = "stop-loss" - TIME_BARRIER = "time-barrier" - DYNAMIC = "dynamic" - - -class ExitType(Enum): - TAKE_PROFIT_HIT = "take-profit-hit" - STOP_LOSS_HIT = "stop-loss-hit" - TIME_BARRIER_HIT = "tme-barrier-hit" - DYNAMIC_BARRIER_HIT = "dynamic-barrier-hit" - - -class TradeSide(Enum): - BUY = 1 - SELL = -1 - class MultiBarrier: - def __init__(self) -> None: - self.barriers: list[BarrierHit] = [] - self.first_hit: BarrierHit = BarrierHit() - - -class BarrierHit: - - def __init__(self, - level: float | None = None, - hit_datetime: datetime | None = None, - barrier_type: BarrierType | None = None - ): - self.level: float = level - self.hit_datetime: datetime = hit_datetime - self.barrier_type: BarrierType = barrier_type - - def __str__(self): - return f"datetime: {self.hit_datetime}, level {self.level}, type {self.barrier_type.value}" - - -class MultiBarrierBuilder: def __init__(self, open_price: pd.Series, high_price: pd.Series, low_price: pd.Series, close_price: pd.Series, - trade_open_datetime: str, - trade_side: TradeSide, - pip_decimal_position: int, - take_profit_pips: float = None, - take_profit_level: float | None = None, - stop_loss_pips: float | None = None, - stop_loss_level: float | None = None, - time_barrier_periods: int = np.inf, + box_setup: MultiBarrierParameters, dynamic_exit: pd.Series | None = None ) -> None: @@ -69,78 +30,69 @@ def __init__(self, self.high: pd.Series = high_price self.low: pd.Series = low_price self.close: pd.Series = close_price + self.dynamic_exit: pd.Series = dynamic_exit - self.multi_barrier: MultiBarrier = MultiBarrier() - self.open_datetime: str = trade_open_datetime - - self.take_profit_pips: float = take_profit_pips - self.take_profit_level: float = take_profit_level - - self.stop_loss_pips: float = stop_loss_pips - self.stop_loss_level: float = stop_loss_level + box_builder: BoxBuilder = BoxBuilder() + self.multi_barrier_box: MultiBarrierBox = box_builder.build_multi_barrier_box(box_setup) - self.time_barrier_periods: int = time_barrier_periods - self.trade_side: TradeSide = trade_side - self.pip_decimal_position: int = pip_decimal_position + self.multi_barrier: MultiBarrierHit = MultiBarrierHit() - self.dynamic_exit: pd.Series = dynamic_exit def compute(self): try: - self.compute_take_profit_barrier() - self.compute_stop_loss_barrier() - self.compute_time_barrier() + self._compute_take_profit_barrier() + self._compute_stop_loss_barrier() + self._compute_time_barrier() if self.dynamic_exit is not None: - self.compute_dynamic_barrier() - self.select_first_hit() + self._compute_dynamic_barrier() + self._select_first_hit() + return self.multi_barrier except Exception as error_instance: raise Exception(str(error_instance)) - def compute_take_profit_barrier(self): + def _compute_take_profit_barrier(self): take_profit_barrier: TakeProfit = TakeProfit(open_price=self.open, high_price=self.high, low_price=self.low, close_price=self.close, - open_datetime=self.open_datetime, - trade_side=self.trade_side, - pip_decimal_position=self.pip_decimal_position, - take_profit_width=self.take_profit_pips, - take_profit_level=self.take_profit_level + open_datetime=self.multi_barrier_box.open_datetime, + trade_side=self.multi_barrier_box.trade_side, + pip_decimal_position=self.multi_barrier_box.pip_decimal_position, + take_profit=self.multi_barrier_box.take_profit ) take_profit_barrier.compute() self.multi_barrier.barriers.append(take_profit_barrier.barrier) - def compute_stop_loss_barrier(self): + def _compute_stop_loss_barrier(self): stop_loss_barrier: StopLoss = StopLoss(open_price=self.open, high_price=self.high, low_price=self.low, close_price=self.close, - open_datetime=self.open_datetime, - trade_side=self.trade_side, - pip_decimal_position=self.pip_decimal_position, - stop_loss_width=self.stop_loss_pips, - stop_loss_level=self.stop_loss_level + open_datetime=self.multi_barrier_box.open_datetime, + trade_side=self.multi_barrier_box.trade_side, + pip_decimal_position=self.multi_barrier_box.pip_decimal_position, + stop_loss=self.multi_barrier_box.stop_loss ) stop_loss_barrier.compute() self.multi_barrier.barriers.append(stop_loss_barrier.barrier) - def compute_time_barrier(self): + def _compute_time_barrier(self): time_barrier: TimeBarrier = TimeBarrier(close_price=self.close, - time_barrier_periods=self.time_barrier_periods, - open_datetime=self.open_datetime + time_limit_date=self.multi_barrier_box.time_limit, + open_datetime=self.multi_barrier_box.open_datetime ) time_barrier.compute() self.multi_barrier.barriers.append(time_barrier.barrier) - def compute_dynamic_barrier(self): + def _compute_dynamic_barrier(self): dynamic_barrier: DynamicBarrier = DynamicBarrier(close_price=self.close, exit_signals=self.dynamic_exit, - open_datetime=self.open_datetime + open_datetime=self.multi_barrier_box.open_datetime ) dynamic_barrier.compute() self.multi_barrier.barriers.append(dynamic_barrier.barrier) - def select_first_hit(self): + def _select_first_hit(self): first_hit: BarrierHit | None = None for barrier in self.multi_barrier.barriers: if first_hit is None: @@ -158,47 +110,26 @@ def __init__(self, high_price: pd.Series, low_price: pd.Series, close_price: pd.Series, - open_datetime: str, + open_datetime: datetime, trade_side: TradeSide, pip_decimal_position: int, - take_profit_width: float | None = None, - take_profit_level: float | None = None + take_profit: float | None = None ): self._open_price: pd.Series = open_price self._high_price: pd.Series = high_price self._low_price: pd.Series = low_price self._close_price: pd.Series = close_price - self._open_datetime: str = open_datetime + self._open_datetime: datetime = open_datetime self._trade_side: TradeSide = trade_side self._pip_decimal_position: int = pip_decimal_position - self._take_profit_width: float = take_profit_width - self._take_profit_level: float = take_profit_level - - self._validate_barrier_parameters() self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.TAKE_PROFIT, - level=take_profit_level) - - def _validate_barrier_parameters(self): - if self._take_profit_width is not None and self._take_profit_level is not None: - raise ValueError("Either take_profit_level or take_profit_with are allowed not both") + level=take_profit) def compute(self): - self._compute_take_profit_level() self._compute_next_take_profit_hit() - def _compute_take_profit_level(self): - if self.barrier.level is None: - barrier_level: float = self._trade_side.value * np.inf - if self._take_profit_width is not None: - pip_factor: float = 10 ** (-self._pip_decimal_position) - take_profit_width_decimal: float = self._take_profit_width * pip_factor - trade_open_price = self._open_price[self._open_datetime] - barrier_level = (trade_open_price + self._trade_side.value * take_profit_width_decimal).round( - self._pip_decimal_position + 1) - self.barrier.level = barrier_level - def _compute_next_take_profit_hit(self): hit_date: datetime | None = constants.INFINITE_DATE @@ -227,47 +158,26 @@ def __init__(self, high_price: pd.Series, low_price: pd.Series, close_price: pd.Series, - open_datetime: str, + open_datetime: datetime, trade_side: TradeSide, pip_decimal_position: int, - stop_loss_width: float = None, - stop_loss_level: float = None + stop_loss: float = None ): self._open_price: pd.Series = open_price self._high_price: pd.Series = high_price self._low_price: pd.Series = low_price self._close_price: pd.Series = close_price - self._open_datetime: str = open_datetime + self._open_datetime: datetime = open_datetime self._trade_side: TradeSide = trade_side self._pip_decimal_position: int = pip_decimal_position - self._stop_loss_width: float = stop_loss_width - self._stop_loss_level: float = stop_loss_level - - self._validate_barrier_parameters() self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.STOP_LOSS, - level=stop_loss_level) - - def _validate_barrier_parameters(self): - if self._stop_loss_width is not None and self._stop_loss_level is not None: - raise ValueError("Either stop_loss_level or stop_loss_with are allowed not both") + level=stop_loss) def compute(self): - self._compute_stop_loss_level() self._compute_next_level_hit() - def _compute_stop_loss_level(self): - if self.barrier.level is None: - barrier_level: float = -self._trade_side.value * np.inf - if self._stop_loss_width is not None: - pip_factor: float = 10 ** (-self._pip_decimal_position) - stop_loss_width_decimal: float = self._stop_loss_width * pip_factor - trade_open_price = self._open_price[self._open_datetime] - barrier_level = (trade_open_price - self._trade_side.value * stop_loss_width_decimal).round( - self._pip_decimal_position + 1) - self.barrier.level = barrier_level - def _compute_next_level_hit(self): hit_datetime: datetime = constants.INFINITE_DATE @@ -293,27 +203,16 @@ class TimeBarrier: # TODO: deal with time barrier beyond last time series date def __init__(self, close_price: pd.Series, - time_barrier_periods: int, - open_datetime: str): + time_limit_date: datetime, + open_datetime: datetime): self.close_price: pd.Series = close_price - self.time_barrier_periods: int = time_barrier_periods - self.open_datetime: str = open_datetime + self.open_datetime: datetime = open_datetime - self.barrier = BarrierHit(barrier_type=BarrierType.TIME_BARRIER) + self.barrier = BarrierHit(barrier_type=BarrierType.TIME_BARRIER, hit_datetime=time_limit_date) def compute(self): - self._compute_hit_date_time() self._compute_hit_level() - def _compute_hit_date_time(self): - hit_datetime: datetime = constants.INFINITE_DATE - - close_price = self.close_price[self.open_datetime:] - if len(close_price) >= self.time_barrier_periods + 1: - hit_datetime = close_price.index[self.time_barrier_periods] - - self.barrier.hit_datetime = hit_datetime - def _compute_hit_level(self): hit_level: float = np.inf @@ -329,10 +228,10 @@ class DynamicBarrier: def __init__(self, close_price: pd.Series, exit_signals: pd.Series, - open_datetime: str, + open_datetime: datetime, ): self.close_price = close_price - self.open_datetime: str = open_datetime + self.open_datetime: datetime = open_datetime self.exit_signals: pd.Series = exit_signals self.barrier: BarrierHit = BarrierHit(barrier_type=BarrierType.DYNAMIC) From b8fbf84882585a4992978d4a4f8c0b48249cc1f5 Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Tue, 12 Mar 2024 21:51:32 -0300 Subject: [PATCH 4/6] DONE: Plot Multi Barrier Signed-off-by: marcello chiuminatto --- docs/TODO.md | 1 - docs/analyze_trades.ipynb | 34 +- docs/plot-method-tests.ipynb | 414 ++++++++++++++++++ docs/test-triple-barrier-plotting.ipynb | 16 +- tests/test_utils/__init__.py | 0 tests/test_utils/dummy_strategy.py | 81 ++++ tests/triple_barrier/integration/conftest.py | 68 +-- .../test_triple_barrier_apply_happy_path.py | 119 ++--- tests/triple_barrier/unit/conftest.py | 65 +-- .../unit/test_triple_barrier_happy_path.py | 80 +++- triple_barrier/multi_barrier_box.py | 13 + triple_barrier/multi_barrier_types.py | 9 +- triple_barrier/plots.py | 34 +- triple_barrier/triple_barrier.py | 18 +- 14 files changed, 674 insertions(+), 278 deletions(-) create mode 100644 docs/plot-method-tests.ipynb create mode 100644 tests/test_utils/__init__.py create mode 100644 tests/test_utils/dummy_strategy.py diff --git a/docs/TODO.md b/docs/TODO.md index 0f7adcd..2dba1ea 100644 --- a/docs/TODO.md +++ b/docs/TODO.md @@ -5,4 +5,3 @@ Updated: March 8th 2034 1. Add tgraling stops 2. Refactor StoLoss, Take Profit and Dynamic Barrier to reduce code by building a base class 3. Add possibility to plot oscilators in a pannel below -4. Make overline line thiner diff --git a/docs/analyze_trades.ipynb b/docs/analyze_trades.ipynb index 5212c3a..cf56ec3 100644 --- a/docs/analyze_trades.ipynb +++ b/docs/analyze_trades.ipynb @@ -351,17 +351,17 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 16, "id": "72ad4531-1cd0-45dc-a4af-362bfe8104da", "metadata": {}, "outputs": [], "source": [ - "df[\"profit\"] = (df[\"close-price\"] - df[\"open\"])*10**4" + "df[\"profit\"] = ( df[\"open\"] - df[\"close-price\"])*10**4" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "id": "a53e4f45-d6a2-4f5f-8627-3ab3b647089f", "metadata": {}, "outputs": [ @@ -371,13 +371,13 @@ "" ] }, - "execution_count": 12, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", 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" ] @@ -392,7 +392,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "id": "f9e9097a-7f29-4436-b337-1fdecfee03bf", "metadata": {}, "outputs": [ @@ -402,13 +402,13 @@ "" ] }, - "execution_count": 13, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -423,7 +423,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 19, "id": "3701faff-c6e4-40e3-910f-82f300fc1d71", "metadata": {}, "outputs": [ @@ -431,9 +431,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "Win trades profit 3405.000000000048\n", - "Lose trades profit -4279.999999999973\n", - "Total profit -874.9999999999236\n" + "Win trades profit 2664.9999999998354\n", + "Lose trades profit -2731.399999999706\n", + "Total profit -66.39999999987097\n" ] } ], @@ -446,7 +446,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 20, "id": "cff652fe-65a7-4acb-84ca-6de161054f84", "metadata": {}, "outputs": [ @@ -454,12 +454,14 @@ "data": { "text/plain": [ "close-type\n", - "stop-loss 3405.0\n", - "take-profit -4280.0\n", + "dynamic -55.3\n", + "stop-loss -2410.0\n", + "take-profit 1710.0\n", + "time-barrier 688.9\n", "Name: profit, dtype: float64" ] }, - "execution_count": 8, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } diff --git a/docs/plot-method-tests.ipynb b/docs/plot-method-tests.ipynb new file mode 100644 index 0000000..a02a7e9 --- /dev/null +++ b/docs/plot-method-tests.ipynb @@ -0,0 +1,414 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "71d178b1-f194-4ea0-9283-004b92da9a0a", + "metadata": {}, + "source": [ + "# Test plot_multi_barrier method" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "aad01da3-3ed5-4f97-9d06-5cf2e96892a4", + "metadata": {}, + "outputs": [], + "source": [ + "import sys\n", + "import pandas as pd\n", + "import mplfinance as mpl\n", + "from datetime import datetime" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9f67f03b-769d-4e22-9d1d-adfb8ebfff2a", + "metadata": {}, + "outputs": [], + "source": [ + "sys.path.append(\"../\")\n", + "from triple_barrier.plots import PlotTripleBarrier\n", + "from triple_barrier.triple_barrier import TradeSide\n", + "\n", + "from triple_barrier.triple_barrier import MultiBarrier\n", + "from triple_barrier.multi_barrier_box import MultiBarrierParameters\n", + "\n", + "from tests.test_utils import dummy_strategy\n", + "\n", + "import pandas as pd\n", + "import mplfinance as mpl\n", + "from datetime import datetime" + ] + }, + { + "cell_type": "markdown", + "id": "effc0d54-14be-47ee-950f-c83232f8bdd2", + "metadata": {}, + "source": [ + "## Parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "ad9009c2-55f4-4476-923c-24c671152950", + "metadata": {}, + "outputs": [], + "source": [ + "TAKE_PROFIT_WIDTH = 10\n", + "STOP_LOSS_WIDTH = 5\n", + "PIP_DECIMAL_POSITION = 4\n", + "TIME_BARRIER_PERIODS = 10" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "01ee4d80-83e9-49fa-912e-1c2a3b952c31", + "metadata": {}, + "outputs": [], + "source": [ + "columns = [\"date-time\", \"open\", \"high\", \"low\", \"close\", \"volume\"]\n", + "df = pd.read_csv(\"../tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv\", \n", + " names=columns, \n", + " parse_dates=True, \n", + " index_col=\"date-time\",\n", + " header=0)" + ] + }, + { + "cell_type": "markdown", + "id": "9207f128-13f7-4222-880a-c3431e6076d0", + "metadata": {}, + "source": [ + "## Long Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "cd8b6a9c-556f-43b6-b205-4f7c587b8dd8", + "metadata": {}, + "outputs": [], + "source": [ + "price = dummy_strategy.calculate_test_features_long()\n", + "mask_entry = price[\"entry\"] == 1\n", + "entry = price[mask_entry]" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4524243d-fa04-4d2d-8d7f-a2e69d0571f2", + "metadata": {}, + "outputs": [], + "source": [ + "row_index = 3\n", + "box_setup = MultiBarrierParameters()\n", + "\n", + "box_setup.open_time = str(entry.iloc[row_index].name)\n", + "box_setup.open_price = entry.loc[box_setup.open_time][\"open\"]\n", + "box_setup.take_profit_width = TAKE_PROFIT_WIDTH\n", + "box_setup.stop_loss_width = STOP_LOSS_WIDTH\n", + "box_setup.time_limit = price[box_setup.open_time:].index[TIME_BARRIER_PERIODS]\n", + "box_setup.trade_side = TradeSide.BUY\n", + "box_setup.pip_decimal_position = PIP_DECIMAL_POSITION" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "723518d1-6e67-4103-861b-101706b40c91", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "barrier_builder = MultiBarrier(open_price=price.open,\n", + " high_price=price.high,\n", + " low_price=price.low,\n", + " close_price=price.close,\n", + " dynamic_exit=price[\"exit\"],\n", + " box_setup=box_setup\n", + " )\n", + "barrier_builder.compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "2795b7ff-09e7-407a-a0c4-fcce7a2ecbbf", + "metadata": {}, + "outputs": [], + "source": [ + "plot_tb = PlotTripleBarrier(price.open,\n", + " price.high,\n", + " price.low,\n", + " price.close,\n", + " PIP_DECIMAL_POSITION,\n", + " periods_to_plot=60,\n", + " overlay_features=[ price[\"mva-12\"], price[\"mva-24\"] ]\n", + " )" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "72910941-2f1c-4d9d-9934-062e8b9e6e96", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 60\n" + ] + }, + { + "data": { + "image/png": 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8804+/fRTCgoKuOKKK6q3X7RoEbNnz2bdunUUFxfj8/nwer2UlZURFRWF0+ms3vbqq6/mqaeeqlGe1157jfvvv59///vfJCcnA7B9+3ZuueUWPvzwQxwOR72OT+pH4ZCIiIiIiIhIY6pnUBMKYWFhNS5bLJYa6ywWC2C2EgKYNGkSc+fO5c477+S1117jggsuICEhAYAtW7YwZswYZsyYwe9//3vi4+P54osvuPbaa6moqCAqKooVK1ZU79vlctW473nz5nHdddcxf/78Gl3Hli1bRkFBAYMGDape5/f7+eyzz3j88ccpLy/HZrM1zgPSzikcEhEREREREZHjuuqqq7jnnntYtmwZb731Vo2WP8uWLSMQCPDnP/8Zq9UcveboLmU5OTl17nfu3LlMnz6defPmceGFF9a47txzz2X16tU11k2bNo0ePXrw61//WsFQI1I4JCIiIiIiIiLHlZ2dzWmnncYNN9yA3+9n7Nix1dfl5ORQWVnJ3/72Ny666CIWL15cq9tYXV577TWmTp3KX//6V0455RR27doFQGRkJG63m5iYGPr06VPjNtHR0SQkJNRaLw2jAalFRERERERE5ISuuuoqVq1axbhx44iMjKxe379/fx555BH++Mc/0qdPH1599dWgBpB+5pln8Pl8zJw5k7S0tOrllltuacrDkDqo5ZCIiIiIiIhIO5Kbm1tr3ZYtW2qtMwyjxuUZM2Zwww031Nmd67bbbuO2226rsW7y5Mn1LseJnMxtGmLcuHHk5uZy7rnn8uabb9a6fsmSJUybNo3y8nKmTJnCvffeC8A111zDZ599Vj2+0ltvvUWXLl0Ac1a2Z599FpvNxvXXX89tt91Gbm4ul1xyCdnZ2QBMnTq11uPZlBQOiYiIiIiIiIjU4ZZbbmH69OnMmTOnzutnzpzJ3Llz6d27NyNGjGDcuHHVs7499thjjBkzpsb2ixYt4pNPPmHNmjWEhYVRUFBQfd2oUaPqDKCaQ73CIcMwaiWH7UXVsbfX45fQUx2UUGtvddAg+OM0qP241OdhMozav8yF+v4bqj7lr9r+yDLUtzhNcQwiR2tv74PS8qgOtixVz0N7fU5a8jEf77mpulxcXFxjfUREBBEREbX2NXLkyGO2VsrPz8fn89GvXz8AJkyYwIIFC6rDobo8/fTT3HXXXdUzwyUnJwd3UE2sXuFQUVFRi64ATckwDDweD3B4Sj+R5qQ6KKHW3upgSXGgHtsWExlecxg/f4k36NsXlxRji6hoUfffUPUpv7l9zWOoT/mhaY5B5Gjt7X1QWh7VwZaloqKCQCCA3+/H7/eHujjNpmpq+5bM7/cTCAQoKSmhvLy8xnVVoVBWVlaN9ffddx+zZs2q1/3k5+eTkZFRfTkjI4NPP/20+vIdd9zB3XffzejRo3nwwQex2Wxs2LCBRYsWcfvttxMbG8vjjz9Ot27dALPLXP/+/enYsSOPPPLIMWd4awr1Cofcbnd1f7n2pioUc7vdeiOWkFAdlFBrb3XwYIUfCC6giHG5cLtr9r33lYezP8j7csW4sLsja6wL9f03VH3KD7WPoT7lh6Y5BpGjtbf3QWl5VAdbFq/Xy969e7HZbO1uSvWWfrw2mw2r1UpMTAwOh6PGdVWvne3bt9fIN+pqNdQQs2fPJjU1lfLycqZOncpTTz3FzJkz8fl8lJaWsmTJEt5//32mTZvG4sWLGTRoEFu2bMHpdPKvf/2LiRMnsnTp0kYt0/HUKxyyWCzt+k2o6vjb82MgoaU6KKHWnuqgheCP0ULtx6Q+D5HFUvsX4FDff0PVp/xV2x9ZhvoWpymOQaQu7el9UFom1cGWo+bnVvt4Po7sSdQajrmu10rVZZfL1eDGL+np6ezYsaP68o4dO0hPTwcgLS0NAIfDwZQpU5g/fz5gti669NJLATj//PO5+uqrq8tTZdy4cfz85z/H7/c3WxCnqexFRESkTv7iCnwFZdVLxZZi9vx1JRVbiqvX+YvVlUtERNqnqjFjysrKQlwSOVrVc1L1HDWV9PR0bDYbq1atwu/3M2/ePC666CIAdu7cCZjd8N555x169+4NwNixY6vHMFqyZAkdO3YEYPfu3dX7/eKLL0hKSmrWFlqarUxERKQNsjjs5k9AJxoWwHpo26P4iyvYPHpBnbcven1Tjdt3WjgGmyu8QeUVERFpbWw2G7GxsdWzTUVFRbWK1jQNYRhGdWuWlnishmFQVlZGQUEBsbGxjRKujBo1ipUrV1JaWkpmZibz58/ngQce4LnnniM9PZ3HH3+ciRMn4vV6mTx5cvVg1JMmTaKwsJBAIMDw4cO5+eabAbjuuuuYMmUKffr0ITo6mmeffRaAN954g6eeeoqwsDCcTievvPJKg8teHwqHREREWiCHw4LVCica89FqNbc9ms0VTqeFYzC8vup1vkIvedflkvncSOyJZv97i8NeZ7BjeH0nDpYAAoe2VTgkIiLtUGpqKkCN6cjbukAggNXasjshxcbGVj83DbVo0aJa6xYuXFj9//Dhw1m7dm2tbT7++OM69xcREcHrr79ea/1NN93ETTfd1ICSNozCIRERkSbQ0JY7sS4rn7+ditd7uG//nr1+JswoZN6TiSQlmL+EORwWYl11n6DZXOE1QhtrdBhx03sQ3jEGa3TTNrMWERFpDywWC2lpaSQnJ1NZWRnq4jQ5wzAoKSkhJiamRbYcArMrWUsfMLslUjgkIiLSBBracgfMgIg6xklMSrCRmlz/kx5rdBgJ1/Wq9+2kcQRKK9k/dwNxE7sqnBMRaWPay4xlhmFQXl6Ow+FoseGQnByFQyIiIk3k6JY7VeyJDuzJUSEokYRSoLSS/S+swz02W+GQiIiItCgtu6OgiIiIiIiIiIg0KYVDIiIizaRqzB+1GgmNQGkle5/7jkBp2x8TQkRERKQ+1K1MRESkmWjMn+AFPaA3HHNQbwB/cUX1uE++Qi/7X1hH9Gmp1WM+Vd3XscZ9EhEREWkPFA6JiEi74CkNMOcND1PHO3FGq+FsS1fXgN6GAcUlxbhiXBw5Buaxwh1/cQWbRy+oFTDlXZdbc4UVOi0co4BIRERE2i2FQyIi0i54Sg2emOPhsgujcUaHujQSjKMH9DYMA1tEBXZ3ZFAzpBheX3AtjwKHtlU4JCIiIu2UfjoVEREREREREWnHFA6JiIiIiIiIiLRj6lYmIiIiLZa30s/Xm/fx2Q972LC7BIvhxx4WRlWnMsOAiDArzgg7zogwnA47MRF2Yhx2IssDlMZZiPZDlA+i/AYRAbAYte9n38EK7KUnPi3y+QN4yn14yn2UeM3FU+7D46001x1a7/H6KKvw1bhtoNxPWW87UW+vwhphO6nHo9wXICs+ivFDsuif6Q6qe52IiIjIiSgcEhERaSWc0RZunOrEGd12AwHDMPhht4fPftjD15v3YbHAKZ3iuXJoFjlJ0RQXF+N21wxFyn1+PN7agU1RWSk7HRbK7BbKbFBms+A9RiYT89mmY854diS7zVIriHI67KS4InAeCqWqrosKs2G1Hi6nr6CMLS/9l+zf98OeHHXSj9HGAg/zv9nOw++v5+weyYwbmEF8tMZLEhERkZOncEhERKSVcEZbmTnNFepiNDrD7uPDdTtZ9eledpeU0y3ZyZndkph8akccYYfTHMOoo8kPEGG3EeG0keCMqLHel1jGlp0rgipD9p96NiiwaU45yU7uGt2TSn+Aj9cVcPe/VhNms3LZ4ExOz0nEZm274aGIiIg0DYVDIiIidXA4LFitEDjBbFdWq7mtBM+wGAScpfjdxQScZeCzU+7L4JfndSfV7Qh18VqNMJuV83uncn7vVHYXe3lzWR5Pf7qJIdnxXDE4k6z41hF2iYiISOgpHBIRkTbrQHEAr9dsbbJnr7/G3yoOh4VYV+35GWJdVj5/O7X69sdyrNtLTYbVjy/+AP64YrAGsHqise13E5aXhgULY/qkkOo+uXF4BFJcDmaencONI7vw9eZ9PLpoA0UHKxk7IJ3zeqXUaIElIiIicjSFQyIi0iYdKA5wxiW7arX8mTCjsMZlqxU+fzv1mAERba8XV7MxMAhEl+FL3osRXoltXywRP3bA4ldQ0VQsFgvDOycwvHMCxd5K3lmRz/Uvf0OXJCfjh2TRK10VWkRERGpTOCQiIm2S12ucsEsYmN3GvF5DIVAj2ldawbzl2/H22IGtLJKwnclYveou1txcjjCuHt6Rq4d35Lv8Yt74Zjs/FpZy1bAOnNcrpcZg2SIiItK+KRwSERGRWiwOO1iBEwVsVnNbf8Dgi42FvLUsD18gwMhOaTjWd8FiKIBoCXqlu5g1tjel5T5e+WorU15YwtXDO3Ber1SFRCIiIqJwSEREmkegtJL9czcQN7Er1uiwUBdHTsDmCqfTwjEYXl/1ukCZj6J/b8Z9cSesUeYpxA5vJX/9egvLtu5jRE4id1/YkxSXgwPFAR6w7CJw/CGbAA3q3ZyiI+z8/KwuTDm1I/84FBJddUoHLuitkEhERKQ9UzgkIiJB8ZQGeH5uBTdMDhDjrP+YMYHSSva/sA732GyFQ62EzRUOrvAa65Ju6Y+30s9/v9vNuyvzcUeGccXgTG4b1RWL5XC4UNeA3nv2+pkwo5B5TyaSlHC4DmlQ7+YXFW7nhjO7cPXwjrz61TYmv/A1Vw3ryE/7KCQSERFpjxQOiYhIUDxlBi+87uOqywxinKEujTS3/aUVrN9dwn/X7GJzYSnn9U7hz+P743IcO+g71oDeSQk2UpM1KHVLEBVu5/ozO5sh0ddbmfzC10wY2oHRfdOwKSQSERFpNxQOiYiISLV9pRX8sLuEDQUeNu4uIW//QQKGQVxUODkpTiYMy6JHavscvdtTGmDOGx6mjnfijG5bLZ0iw21cd0ZnJp3SkdeWbGPKC19z5dAOXKiQSEREpF1QOCQiInU6UByo1SWo6q+Fw18Wj9UlyF9cUWO8Gl+ht8bfKhaH3ey+JM1qr6ecH3Z72FhQwg+7Pew4cBDDMIiLDqdbSgxdk52c1TWJzLhIdTM6xFNq8MQcD5ddGI0zOtSlaRqR4TauPb0Tk07pwGtfmyHR+CFZjOmXrpBIRESkDVM4JCIitRwoDnDGJbvqnAp+4oy9NS5brfD526k1AiJ/cQWbRy+oc6arvOtya66wQqeFYxQQNbEfdpfw1rI8NhR4AIiPDqdrspOuKU5Gdk8mI1YhUF2ODEmPDEiP1FxjJjXnoO6OMBvTT+/EVad0YN6SbUx+3gyJLuqvkEhERKQtUjgkIiK1eL1GncFQXQIBc/sjx5YxvL4TT4FevYND2yscanSech/vrsznv2t20SE+ivFDsuid7lIIFKRjhaQTZhTWuFxXQFrlyBZ0DW09F4pB3R1hNq4Z0YkJwzrw+tLtTH7+a87tmcK4gRnER+s1KyIi0lYoHBIREWlDDMNg2db9vL50O/vLKhjTL52nJw/GEaYBoOsr2JC0roAUjt2CrjW2nnOE2Zh6WjZXndKBj9cVcPe/VhNms3LZ4ExOz0lUayIREZFWTuGQiIhIG7CnpJx/Ls/j8w2FDMiK5Rfn5NAxoY0OjNNKBN2CrhW1nguzWTm/dyrn905ld7GXN5fl8fSnmxiSHc8VgzPJio8KdRFFRETkJCgcEhERaaV8/gCf/rCHf367Awtw2aBMrjujs1pxSLNIcTmYeXYON47swteb9/Hoog0UHaxk7IB0zuuVotZqIiIirYjCIRGRdqI5B7OVprWlsJQ3vtnOqrwizuqWxP1je5PojAh1saSdslgsDO+cwPDOCRR7K3lnRT7Xv/wNXZKcXDk0i55prhPvREREREJK4ZCISDsRisFsG1N7D7cqfAEWrt7JuyvzSYqJ4IohWdx5fncsFrUSkpbD5Qjj6uEduXp4R77LL+b1pdv5sbCU83qlMHZAOi5H+3vtioiItAYKh0REpFVo7eHWydpfWsFrS7bxv02FjO6bxl8nDsQZoY/v1sDisIOVE487ZD207dEMA/+eQoy927B48jF2bSOu0zKMJbvwp3bEcKZDdBoWd3yLHMy6V7qLWWN7463088F3u7n99ZW4I8O4dVRXjU0kIiLSwujsUqSd8JQGmPOGh6njnTija0+3LCIty8YCDy8u3kxBSTmTTunAjLO6aAr6VsbmCqfTwjE1prLPuy6XzOdGYk+IgPID4NmJpWI3th/+AcX55lK2FwDDF6B0cQn+g3FUlifg88YRqOxOxbP52B1rsDv2Y3fsw2o/SNQpKVjsVohOBFfGEUs6uDMgwgUhamXmCLMxtn86Y/uns2mPh7vfXsPlgzMZ2z89JOURERGR2hQOibQTnlKDJ+Z4uOzCaJyawEikRTIMgy82FvKPr7YSFxXOtBGd6J4aE+piNRpntIUbpzpxRrefkMtmLYLSdbBnHbb87+gwdj1hy+ZisVkhMs4Mb1zpZpCTMcT8GxUPFgv+gjIKnvpvUPeTfd8F2BMdZrBUvMNc9m+GrV9A0Q4oLz68sT0CImLMwCjCdej/mCPWxYDjiPXhTrA2zuDSXZKcPD91CH9dtIFfbVjJvRf1Vks4ERGRFkCfxiJt1IHiAF6vUX15z15/jb9VHA4LsS61JBIJJW+ln3dW5PPOynyGZsfz+3F92+QA085oKzOntcXBiQ2sZQWweQMUmEEQRXnmVdGJkNQDknpg6XY+4WMzwdpE77lWKziTzCV9wLG385VDeYkZGHmLD/1/aNm/+fB11es9YNTRN84WVke4dGhxuGuvC48Bm50wm5U7zu/OVz/u5fo53/Drn/ZgQFZs0zwmIiIiEhSFQyJt0IHiAGdcsotAHefyE2YU1rhstcLnb6eeMCBq74MBizSFPSXl/OOrrSzbup+xA9J5buoQTf/dohkkhhfSJWoTXaI30iVqI6mOXQA4v8qADr3MIKj7T8GdGbJuXCdkjzCX6MSG7cdXbgZH1UHSEYHSga2H/z8ygDL8YJg/XAx3uBmQlcK77/6HnUkdOO/UIdhiMyAqsekCNBEREamTwiGRNsjrNUhJtBHrDu7k2ucz6lzv91RiVJhjZfgPVFD2xS6c52Rgiz008GkALOG2FjkQqkhLtm5XMS9+sYVibyVXD+/IraO6ataxUDMMKC00W/wU50PxDpy7djC7x0ZcYcVgWDCwsLcynh9Lc9hU1oWPC89lV3kqYOGj/5dCVHI7C/aqQ6aE+t/WMKC8GEfRDi7P2cHSVWtYMP95fpLpI6ryAHDocyncaY6ZVDV+kisDohIOt0ay6ccKERFpWuPGjSM3N5dzzz2XN998s9b1S5YsYdq0aZSXlzNlyhTuvfdeAK655ho+++wzXC6z1fRbb71Fly5dAHj44Yd59tlnsdlsXH/99dx2220YhsGMGTNYtGgRsbGxvP7669XbNweFQyJtkNUK/3klmYiIhn3ZtDnDAPPE2x4fSdZL59S4PlDuZ9tVH5D14rkKiEROoNIf4LMf9jBv6XZSXBFcf2ZncpKdoS5WO2Jgj9xDhDMPu2OfOZhzxD6sYQcBsL43F2KTDwUR6RCXjTdmOH/YGEaJLwZQeNeoLBaz65nDjSWlF8O6/oRNezz87J21TDqlIxf0STW38xZXh3UU58PutVC273BLpYC/9r6ttrrHUar6G51oPsfOlEYbS0lERNquW265henTpzNnzpw6r585cyZz586ld+/ejBgxgnHjxtG3b18AHnvsMcaMGVNj+0WLFvHJJ5+wZs0awsLCKCgoAOA///kPhYWFbNy4kQULFvDrX/+6zjCqqSgcEmmDrFYaHAwFdT8RNmwxEeZMPAqHmpy69rU+Fb4AizcV8t7qnewuLmdETgJ/uqwfcdF6vTS5ilIsO74kNvs/ONxbsFjLqTyYREVJByrLUji4rye+8jgCPnNK9ez7LsCaXHN6dV+BnxLf7lCUvl3qkuTkualD+PMHP/D5hj3cc2EvIh0uc3Ds5B7B78jvg4qSOrq1FUNJPuxabYZNngKzmxuA3WF2BaweIDzzcIBk0+myiEh7NnLkSHJzc+u8Lj8/H5/PR79+/QCYMGECCxYsqA6H6vL0009z1113ERZmns8nJycD8M477zB58mQALrzwQm644QYMw2i21uX1+rQzDAPDqLv7SVtXdezt9fgl9OpTBw2at54aBnptNAO/p5L9L6zDdVE2lqj6f1mpeoqCeb7qW4cMatbN+laHY5XJX1yB4TW/vPkKvQBU7vHW2L/FUXfXxvocw9Hlb4gKX4DFGwt5b80u9pSUc1pOAjed05XMuMjD96fXy0k55vugYcC+HyFvqbkc2Arh0eDqg7coh6JtozACxx/gu646GKo6dGSZ6rNtW6hX4TYrd/20B59v2MO1c5Zy9+ie9Eqv5yDmVhs4Ys0lWJVlNVso/Zhr/vXsqhkgxaQT7kjByBoAKT0hOrnlji0lbZK+k0iotYU6WFX24uLiGusjIiKIiKjfhCD5+flkZGRUX87IyODTTz+tvnzHHXdw9913M3r0aB588EFsNhsbNmxg0aJF3H777cTGxvL444/TrVu3GvuyWCzExcWxd+9eEhMbOEZgkOr17aKoqKhVV4KGMAwDj8cDoHEhJCTqUwfLSi0Q726OYgFQXFKMLaKi2e6vvfKXmOHIyT7e9bl9SXEdo5kfd/tiIsMPj3FVdV/BqqtMgZJK9k38HI4qyo7rc2uusEL83DOwxtRsTVWfYzi6/PVV4Qvw1ZYDLFq/l72llQzPdjN9WCpp7qoTjAqKivQaaajq98EKD2G7V2Lb9S223aux+MsJxGbjSx2Ev+81BFxZ5lTwhV68+/8X1L7rqoPNWYfqUp/XUVt7H+6XHM6DF3bhD+9/T/+MGCYNTcfa1Odf9iSIT4L4AXVf7/NiKdlJxa51sPUbbN/OxVq2B4BAdCr+hK4EErrhj++KodBImoi+k0iotYU6WBUKZWVl1Vh/3333MWvWrEa7n9mzZ5Oamkp5eTlTp07lqaeeYubMmfh8PkpLS1myZAnvv/8+06ZNY/HixY12vyerXuGQ2+2uHkypvakKxdxud6t9EUjrVp86WFnXGAxNyBXjwu6OPPGG0iC+8nD2c/KPd31uf7DCDwT/xTTG5cLtPjx2h98SyX4rtYKdOlnBnRRXq/WPr/wg+4K5fQBiwqNrHVN9juHo8gej3Ofn8w2F/HfNLvZ6Kji9ayK/Ht2b9Fi9FpqEpwDjmxdwbvkSe3QcZAyG7ufCyF9CmPmYH91+rKrOB6Ou10VT16ETaWj5Wzu3G56ZmsArX23lN+9u4sFL+pAUU79fdBu5RBjxyRTFZuM48rPYMKBkJ+xZZy6b3wfPoe6IMamQ1B2Sepp/Y9IUGkmD6DuJhFpbqINV5d6+fXuNfKO+rYYA0tPT2bFjR/XlHTt2kJ6eDkBaWhoADoeDKVOmMH/+fMBsXXTppZcCcP7553P11VfX2NeQIUMwDIP9+/eTkHASkz6cpHqFQxaLpdVWgMZQdfzt+TGQ0Aq2DlqOM3Bq7pZcthzYwjUDrmnEcrXeXw5ak6qH+GQf7/rc/nh16FjbH7lPuzuCTgvHmONRHeIr9JJ3XS6Zz43Enug4fFuHvc5uYfU5xLqOKdJhxWqFwAkCJqvV3DaYx9Rb6eezH/bw3zW72F9WwRldk7jj/O6ktbEv5S3K7rXw1ZPgPQBDrqV0wM9xx8YG9Xw1tA7V53Vw9GugMTS0/G2BxWJh6mmdGN45kdveWMF1p3fm7B7JIS9Tjc9ii8UcyNydATnnHt7QMKBkF+z5Hvash+/eNi+DOctb9fhGR8zGFpMGdo1JJsen7yQSaq29DlaV2+VyNbjxS3p6OjabjVWrVtG7d2/mzZvHs88+C8DOnTtJS0sjEAjwzjvv0Lt3bwDGjh1Lbm4up556KkuWLKFjx44AjBkzhpdffpmLL76Y//znP5x66qnN+hhrhL26/PADFBXVXGcY2DwecDprn6253dCtW/OVT6QBcrfkkrslt1HDIZG62FzhdQ5Ubk90YD9q4N+6WBx2CKb1kfXQtkeJdVn5/O1UvF7zF67SsgBvLijj8jFRREcd7v7jcFiIdR2/O9D2fWW89L8tbCjwcHb3JH51QQ9S3Y7j3kYaIBCAjYtg2Yvml+XTboakbuaX7aM/n6VeWuvA9t1TY3h+6lD+9N/1vLsqn9t/0o3MuBO/j4SUxQKuNHPpUnO2Tyq9ZmujqnGOtn9l/l+yE/yV5ja2MIg5MkBKNwOomHQFSCIizWjUqFGsXLmS0tJSMjMzmT9/Pg888ADPPfcc6enpPP7440ycOBGv18vkyZOrB6OeNGkShYWFBAIBhg8fzs033wzAddddx5QpU+jTpw/R0dHVYdKYMWNYsGABXbp0ITY2lnnz5jXrcSocOtqOHdC9e63VFiDmeLfLy4MjBqISETmapzTAnDc8TB3vxBnduGOTtEU2V3iN1kf1bXkEZkBE9Q9CNn79i+DH4jIMg+Xb9vPS/7Zit1qYelo2A7JiT/JoJCgVZbBqHqz9F3QeCRf/HaLiQ12qNiVQag5s7x6b3arCIQBHmI17L+rFD7tLeHDB93RMjOLGkTm4I1vXcQAQ5oD4TuZyLL4Kc3a14kPLjm/gu3+bYZK/AuK7QNZQyBxmzrTWSn/BFxFp6RYtWlRr3cKFC6v/Hz58OGvXrq21zccff1zn/iIiInj99ddrrbdarTzzzDMNKGnDKBw6Wno6DBoEK1acuC8CmP0RBg40byfSwj3y5SO8tOIlDngPMPKlkRSVFxFuC2flrpX8asSvWLl7JTtLdlJSUcKj5z/K+Tnnh7rIbYqn1OCJOR4uuzAaZ3SoS9M61NX6KNiWRyer0h/gvTW7eHNZHj3TYrjrpz00jlBTK94JS5+F/G+h3wSY9JZaRsgxdUuJ4anJg1m8sZBfvLacc3okM+mUjoTb21jobg+HuGxzOZphwN5NkLcEPv8zFOWZM/RlDDLDovQB1WNxiYiIBEPh0NEsFnjwQRg9OrjtAwFze/1aI63A7afeTnF5sdm17Jrc6vXZj2bz6upX+fq6r0mMSmTOijlc+salbL5lM8nRoR3boTU7UByo7tIEsGevv8ZfOH6XJnMa95pj9hz5F47fakbqp6iskrlLt/HZD3s4v3cqT04aRHSEPiabVP4K+Ppp8B2EodfDOf9Pn6dHaGjXyrZuRE4ip3ZO4F/f7uCaF5cweXhHLuiT2mrHwKgXiwUSc8xlwFXmuvISM2Dduhi++rvZdS2+M2QNg8whENtRry8RETmm9ncmEYwLLjBbD61cCf7jzPpks8GAAXC+WldI63dVn6tIjEoEYHL/ydzx4R08t/w5fnvGb0NcstbpQHGAMy7ZVWcDxAkzCqv/t1rh87dTawVE/uIKNo9eUOeXwrzrcg9fsEKnhWMUEDXAlsJSXly8mbz9B5kwrAPXn9EZm1VfoJpMwA8//BeWzTFbRJx5ByR0CXWpWqTG6FrZ1kNmq9XCZYMzubBfGs9/sZlrXlzKzed2ZXDHuFAXrflFxECnM80FzNZF+36EvG/gf3+D/VvN1kSZQ6Dz2ZDSx/wQEhERQeFQ3YJtPeT3q9WQNJtAaSWl//iRmGv6YHM2/kl8x9iO1f9bLVayY7P5vvD7Rr+f9sLrNYLqmRoImNty1EQJhtcX3DTwgUPbttIvdqFiGAZfb97HK19uxRFmY9qIbPpkBD8ekZyEcg+seBXWLYCcn8Clz0BkbKhL1eI1pGtlewqZHWE2Zp6dw5VDy/nbRxuY878t/PK8bnRMaMd9eC0WM3hN6AL9rzTXVZSaYdGat+Cj+yEq0Rwsu8vZ4FRLYRGR9kzh0LGcqPWQWg1JMwuU+jj42hYCV/RoknBIpD2o8AVYsCqff327g/6Zsdx7US9SXJp1rEkV5Zldx3avhYGT4Op/mrMwSb1Zo8OIm94j6IGk22PInOiM4P6L+7Bpj4c/vb+elBgHN52TQ1x06z+2RhEeDZ3PMheAkt3wYy588P+grNBsTZRzLmQN17hfIiLtjMKhYzlR6yG1GpJWymo53ITc6/Nis9gA2Fa0rXp9wAiw5cAWxvUY1+zlk7arvl9sT/b2Jd5KdhZ52VnkZVfRQfP/A172lpZT4Tc4v3cKz0weQmS47aTKIUHK+8YMhTBg2A1w3gOhLlGrZ40OI+G6XqEuRqvQJcnJ368axJLN+7h53rec0TWRKadm4wjT676GmBSzVVH/K82mrLtXw6aP4csnwGaH7DOgy7lm6yOd84qItGkKh47nWK2H1GpIWrGkqCT2e/cDcPv7t3Nh1wsB+Of3/+SWU24hISqBV1a+QlllGdcOvDaURZU2pqFfbK3RYdgndWVDkZedeftrBED7SiswDo397XTYSXNHkuZ2kOp20CvNTarbQUJ0OFaNJdS0/D6z29i3r0BSDzjnHojreOLbiTSRYZ3imTNtGAtW72Tai0uZMCyLi/ql672gLlYrpPU3FzC7gm75ApY8A3s3QmyWGRR1Pgsc6oYrItLWKBw6nqNaD80aWXWFHyb1gE/vr7H5rJGzDv+fO4vj0bbatr7b+j2VTGXwcfcTjMt6XcaLK17k9BdOx+1wM6rzKACu7nc1Ny68kS0HtlDkLeKf4/9JijOlwfcncrLKfX6+yy9m+bYDrNh+gBJvJe7IMNJjzeAnzR1J34zDwU+7mKGopfIWwfJXYMP70H00XPGSOTiuSAtgtVoY2z+d83un8PL/tjL5ha85rUsilw/OVLfS44lwQvcLzAXMAa03fQzv3mrOjObOgMxhkDkUEnI0uLWISCuncOhEDrUeuu/bi/l0c4CzOv8OS2oqdNHMKtK8Pn3tHIq2p/PnBu4nOTqZJdcvqbU+1ZnK65e/3sC9i5y8nUUHWb71AMu37efHPR7sNiu9010M7BDH5YMzcUdqnJoWZ99ms+vYvk0waApMfhus6rYjLVOE3cb1Z3Zm+umd+GJjIb//z/dU+gNcMjCDc3okE2ZTuHFccR1hyDRzMQwo3gHbl8CyF82WRdYws9VR1lDIGKzWRSIirYzCoRM51HrIMvprRm6FWVsNeO8FOPuC497syJYgJ6JttW0w2/oXVFLExqD3IxLMFNYQmmmsvZV+1uYXsXzrAVbkHaC03Eea28HADnFMHJZF50Snun20VIYB2740u5rYIuCUn0HGoFCXSiRoNquFs7olcVa3JPaVVvCvb3cw7cWl9E53MX5oFl2SnKEuYstnsYA701z6XGqu85XDzlWQt8RsSVheAjGpkDXMbGGU2E2ti0REWjCFQ8G44ALuG3QPluXLMQYPxqKxhiQE7r2zkq3/+x5ovPE7irxFXDzvYnZ5dvHQFw9xsPIgM4bOaLT9N6ZAaSX7524gbmLXkx7QuD0JegpraPJprA3DYMeBg3y7zWwVtLmwlAi7lT7pbgZ2iGPCsCxiHHpOW7yKMvj+HVj1utk64Lzfm91KRFqx+Ohwrj29E9NHZLMyr4jnv9jMriIvP+2TyoX90ogK16ly0OwRZquhrKGH1xXnQ95Scxyywh/AaofUvoe6ow2GyLjQlVdERGrQJ14wLBb4/e8xxoyB3/9eszVIm+F2uMm9JrdZ7stTGmDOGx6mjnfijK7/L4eB0kr2v7AO99jsdhEOWRx2sHLiaaith7Y9StBTWEOjT2PtrfSzekcRy7fuZ2XeAcoq/GTERjKwQxyTh3ekU2K0xgdqLQwD8r81v9gd2A69xsKV/zCnwxZpQywWCwOyYhmQFUtZhY+Fq3fxi9e+JcXlYPyQTAZkxep962S40qHXxeYC4KuAXavNwGjVPDh4AJwpkDnEbGGU1ENdU0VEQkThULDOP5/iDRtwZWeHuiQirZKn1OCJOR4uuzAaZyv5XnmgOIDXa1RfLi0L8OaCMi4fE0V0lBlwORwWYl2N30ze5gqn08IxtbqF5V2XS+ZzI7EnmoOohqJL2JEMDIyICt7/Pp8fvyxi674yHHYbfTPdDOwQy9XDOxIdoY+aVqdsH6x6A374L6T0hmE/g+QeoS6VSLOICrdz+eBMLh+cyY97PLzxTR6PfPgDZ3VLYtzADBRdNIA93GwxlHnEBBsluw6FRa9DwTqwWCG1jznQdeZQiIoPXXlFRNoRnbEHadYsKC9PY/bsUJdE2qvf/V8YRdt7NnhAagnOgeIAZ1yyi0AdrW9efrO0+n+rFT5/O7XJAqK6WvPYEx3Yk6OOe9ugWx5Bna2PHA4LViu1jt+w+glEl+GPKSUQfRCsAawV4djD0pl+eic6xEfp1/XWKhCAzbmw4jXweaHveLjqDfPLnEg71TnJyW9+2oNKf4Dc9Xu45+01xITDPRf1xRWp10ajiEmFnheZC4C/Enavge1LYfWbcHAfRCcdDouSe4FNX2FERBqb3llFpMkc2fJmz15/jb9VmqrlTUN5vUadwdDRAgFzW1w11x8rXDma1Wpu29jqanl0LHW1Pop1Wfn87VQ8ZX6+21XE11sK+X53EVYjQL/MBPqmZ9EjxUVkmL3FPocSpAPbzUBo62LodAaMul9jCckxNbSLcGsVZrPyk14pjOqZzEert/Hzfyzn52d14cxuSaEuWttjC4P0geZyyg3mOk+B2bpo7T/h4wcgIgZ6jIFu56ubq4hII1E4JCJN4lgtbybMKKxx+Xgtb46cbaslzbQVjKpw5chuaXv2+pkwo5B5TyaSlGB2TGjKYOVYLY9OZPu+Mj7fUMjiTYWUlfsYkBXHhYNSuCujG56SYtxut1oHtXa+cli/0PxVPiIGBlwFZ96pmYTkhFpjF+HGNqSDm1O7p/PnDzbw3pqd3DW6Jy4Nqt+0nMnQ40JzASgthO/fhbeuNwfC7jkGup4PEZppTkTkZCkcEpEm0dCWN8eabau5Z9pqiFiXtdZxASQl2EhNbjmjVpSW+/jqx718vqGQTXs8ZMZFcmbXJP4wri/uyMNfeAzDOM5epFXY/Z05uPSe9dD9p3Dx3yEyNtSlEml1osLt3HtRL5Zu2cfPX1nG9Wd25uzuyaEuVvsRnQhDpplL6V5Y9y788wYzKOpxodmiKCIm1KUUEWlVFA6JtEGBAJSXG0RENG3rjkC5H39ReZPsO+jZtoKcaStQWsn+uRuIm9i1Xcx2djyBgMF3O4v5bMMelm3Zj91mYXjnBCaf2pHOmkms7fEWw5q3YN0CiO8MAydDWr9Ql0raqbbWLW1odjzPTx3Knz9Yz39X7+K3F/asEapLM4hOgMHXmEvpXlj/H/jXz8FqN7uedb9AQZGISBAUDom0QYEAXDi5gFh3cCfeT/0xnsT4mi1ZfPsOsvP2L497O39ROb7dB0+6nM0pUFrJ/hfW4R6b3S7DIcMw+GR9AQtW7qSwtIKeaTGc1TWJa0/vRIS95bRikkZiGLDtS/j2VXMw1z6XwZWvQpgj1CWTdq4tdkuLDLdxz5heLNu6jxn/WMZ1Z3TinB4poS5W+xSdAIOmmEvZPlh3ZFB0IXS7ABx1NOkVERGFQyJt1c4CPzsL/CfeEPDVNWaxz6D8hwONWiZpfoZh8NH3Bcz5cgundIrnN6N7kByjgKDNKtkNK1+DTZ9A1ilw1p0Qlx3qUoVM0LP21TFjn0h9De4YzwvXDOUvH/7Ae6t3cc+FvXBHtb8fI1qMqHgYNNlcyvbB+vfg3zeCxQr9J5pjFGmcNRGRajoTEhFpgwzD4MPvdvPKV1sZ3jmBJyYNIkYDprZNfh9s+ABWzTN/He9/FZx2M1jVIuzoWft8hV7yrssl87mR2BMPh6THGtg+1LMOSuvjCLNx1+ieLN+2nxmvLmPaiE78pJdaEYVcVDwMnGQuZftg+cvw1RPQc6w5IL9mPBMRUTgUrFmzoKjIC0SEuijSTt17ZyVb//c90LFZ7q+hv7i3hC9VrXm2s5NlGAYffLebV77cyqldEnjy6sE4I/RW3yYVbjQHl965AnJ+Ahc+Yg7SKjUcOWufNTqMuOk9CO8YE1T30qNnHaxrxkFo2lkHpXUa1CGOF64ZyqOLzBnN/t+FvYiLbjufNa1aVDycfiucOhO++ze8PhlS+8KwG8CdEerSiYiEjL4xiASprQ2ieSIN/cU91F+q2sJsZ/URCBh88N0u/vHVNkbkJPLUZIVCbVJFqfllZu3bEJNqDi49ahZoEPGgWKPDSLiuV71uU9esgy1txkFpmRxhNn7z0x6s2H6AX8xdzpRTszm/d2qoiyVVbGHQ93JzTLbtX8OH/89sfXnKzyBjcKhLJyLS7PTNQSRIbXEQzRM58hf3KvZEB/bkqKBu35AvVRorpLaqVg9HtngIBAzeX7uLV7/exuldE3l68mCiFQq1Pd4i+PoZ2LrY/DJz+QsQ4Qx1qUQkCAOyYnnhmqE89tEG3l+zi3vG9CJerYhaDosFOgw3l/1bzPfa3IfM8L3HheqiKyLthr5BBGnWLCgvdzB7dqhLIq3FkV2ajqU+XZp+939hFG3vyZ8bo3CtQENbLrXFsUaObPUQCBj8d+0uXv16K2d1S+KZKYOJCtdbepvjLYKvnoLtX8EpP4cz71ArIZFWKMJu487ze7A6r4jb31hB3ww3157eidgohUQtSlw2XPAH8Bab3XZfuQS6/RQGXq1ZzkSkzdM3CZFjOFAcqO4SBWa3qCP/wrG7RB2rS1MtbaRLU1NpaMulhtz+6G5xUHfXuOYeayQQMFi4Zidzl2xjZLdknp0yRKFQW3TwAHz9FGxfYoZCZ/1KoVAL4Iy2cONUJ85oPRdycvpmunnxmqEs3riXW19fQZ90MyTSeEQtjMNljkk07Gew/j/w1rWQ0NXschbXPGM/iog0N32jEKnDgeIAZ1yyq85WIxNmFFb/b7XC52+n1goHDK/vxMEQQODQtq0gHKqrS1NbV1e3OAjNeCOGYfD+2t288tUWzu6ezHNThhIZrqbubc7B/fDVk5D3DQy/Ec76tUKhFsQZbWXmNLUekIaxWCyc3jWRETkJ/G/TXm5/YwU901xcd0ZndTdraWx26HWxueQtg09+DwE/DL4Gsk/X+7OItCkKh0Tq4PUaJ+xOBGaXI6/XqDNAaGtOZiBXaRxbCkv5w8Lv6Z3uVijUVpXtM0Oh/OUwfAaMvEtfOkTaOIvFwoicRE7rksCXP+7ljvkr6Z4aw/UKiVqmzMGQ+QwU5cG3/4DP/g86nQkDrgJXeqhLJyLSYAqHRERaKG+lnydzN7F+Vwl3X9iTjgntZCT09qRsH3z5d9i5Ek69Ec7+rUIhkXbGYrFwWpdETuuSyJebzJCoW0oM15/RiQRnRKiLJ0dzZ8LI35i/EG7OhQ/vA58X+o2HbheYs6CJiLRCCodEpFlorI76+WR9Ac98+iNTT8vm1lFdsSgwaFvK9sGXj8Ou1Wb3sXPuUSgkbVJDxu+D4CZ3gPpN8NCSndolgVO7JPDVj3v59Vur6JLk5PozO5OokKjlsVqhyznmUrYPVr0Br14BqX1g4BRI6hbqEoqI1IvCIRFpFm1hrI7mCLjyDxzkDwu/Jys+iuev0WDTbU7pXjMU2r0GTv0FnPP/FApJm9XQ8fuCntwB2twED8M7JzC8cwJf/7iX37y1is5JTm5QSNRyRcXD8J+bA1bnf2tOKFC0HXqOhd7jIMIZ6hKKiJyQvnWIiASpKQOuCl+AFxZvZunmffzmpz3omhLTJPcjIbJ3kzmmUFGe2X3s3HsVCkmb19Dx+4Ke3AFa1QQP9XFK5wRO6ZzA0i37+M1bq8lOiOKGszqTHOMIddGkLhYLZAwyl4oy+P4dc6YzZzIMnAyZQ/XeLyItlsKhIM2aBUVFXkC/2Eho3HtnJVv/9z2gKVTbmq9+3MvfPt7A+CFZPDd1iLqQtRWGAVs+h6XPQXiM+YtyWr9Ql0pEWqGh2fEMzY7nmy37mPXOWqwWC5cNzuTMrknYrPrMaJHCo6D/BHPZu8kcxPqT30POKOg3AZxJoS6hiLQRPp+Pv/71r2zcuJEnn3ySTZs2sXXrVs4555x67UfhkIhIiBSUePnje+uJcdh58urBuBwaxLJN8FXAmrdg1euQOQR++ieISQ11qUSkDRiSHc+Q7HgKir28tXwHz33+I4M6xDF+SBZZ8VGhLp4cS0IXGHUf+H2wcRG8dydggf4TIedcsGoWUhE5eb/4xS/w+/188cUXACQkJHDllVfyzTff1Gs/CodERJqZP2Aw539b+GhdAb86vzt9MtyhLpI0htK98M0LsOUz6H0pTJwLYZGhLpVIgzRkQGmHw4LVygm7llmt5rYSvGSXgxkju/DzszqzdMt+HvtoA/vLKriofzrn907FEaawoUWy2aH7BeZSshtWzjXHocscCgOvhvhOoS6hiLRCX331FStWrGDgwIEAxMbGUllZWe/9KBwK0qxZUF7uYPbsUJdE2qvf/V8YRdt78udQF6SVskaHETe9B9bo0LXOcUZbuGR8gF/++xsuHpjOS9cMxaruAK3fnvXw1RNQWgiDp8EZvzS/7Yq0cg0dUDrWZeXzt1NrhUsTZhQy78lEkhLMAON4s5XJ8VksFoZ1imdYp3hKvJW8u3InP3tlGdkJUYwfmkXvdP340GLFpMDpt8KIW2DbV/DZw1C2F/pcCj0v0o8LIhI0h6PmOHR+v59AMIP+HUWfxCLSLlijw0i4rlfIwqHt+8p44L01BFL38cTVg5g4rIOCodbMMGDjRzBvkvmr77CfwYRXoesoBUPSZtR7QOk6xLqspCbbqpeqQCgp4fA6BUONI8YRxlWndGDO9GFMPKUDby3bweTnv+aVL7dQdLD+vyBLM7FYoOOpcMnf4dJnoLIMXr8a/vNLyF8R6tKJCDBu3Dji4uK4/PLL67x+yZIl9O7dm5ycHH73u99Vr7/mmmvo3LkzAwYMYMCAAWzatAmAl156ieTk5Or1r7/+OgBbtmwhKiqqev2dd94ZVPn69evHP/7xDwKBABs3buTnP/85I0eOrPdxquWQiEgT2r6vjCdyN1Li9XHjyBx6pTfNbGfSTCq95lhCa96CjiNgzKMaVFREWpweqS7uvagX5T4/i74r4M75K3E67Fw+OJPhnRL040RL5XDB4GvMpeB7WP4KLJoF3UdDvysgMi7EBRRpn2655RamT5/OnDlz6rx+5syZzJ07l969ezNixAjGjRtH3759AXjssccYM2ZMrdtMmTKFhx9+uNb6Xr161XusoEceeYRf/vKX7Nq1ixEjRnDJJZfw0EMP1WsfUM9wyDAMDKPuX4bag/Z+/O2JQfDPs0HtelGfamIYBFmvjEPbn7ge1qf8Vdu39LpdVbzgH6/Q2ravjCdyN3GwwsfPz+pCzzQzFGoNZT+WqrrXmo/hpBkBc2yIlfOg35Vw1etgP9SEtz0+HiHSruvgyYiwmW3ET9T6x2pue/Tj6ogg+DGDIoJ7f6v6fArmc6e+T3NzfD60tjoYbrMyum8qo/umsuPAQd5alsfjH29k3MAMLhmQjt2mVlstVlIPOP/34K+A9e/Bv38B4VEY/SdhxPVtNXVQ2p7W9j5Yl6qyFxcX11gfERFBRETt2clHjhxJbm5unfvKz8/H5/PRr585I+2ECRNYsGBBdTjUHJxOJ08//TRPP/10g/ZTr3CoqKioVVeChvB6I6ioqKCoyKtpptuBkuLg+2iWFBcTGV7z5Mpf4g369sUlxdgiKk64XXm5rXp7u+P4zcPrU35z+9rH0NJUPabBPl6hsn3/QV74Mo+DvgDXDs+ka3I0YFBUVBTqojWYYRh4PB6AdvU+aC1cR+QXs/F1OIPysS+B1Q6l5UB5qIvW7rTXOtgQ8XPPwCj3H3cbS4QNj3EQig7Wuu4/cyLxlh8+9ys7aPDOBz7GnmcnKtJ8DhwRFjBKCOZtrurzKZjPnfp8lkLzfD605jrotMDUIclMHJDIO6sLuOqZL7mwTxIX9k4iTCFRy5YxEjJGYinJJ3ztfCK3zaYipTeVXS/EnzYQLHr+pPm05vfBKlWhUFZWVo319913H7NmzarXvvLz88nIyKi+nJGRwaefflp9+Y477uDuu+9m9OjRPPjgg9hs5ne6uXPn8sEHH9CnTx/+8pe/kJKSAsD69esZOHAg8fHx/PGPf2TIkCEnLMN9993HzTffTEJCAgCFhYX8/e9/57777qvXsdQrHHK73bhc7bNLRNUYT253RKt9EUjwDlb4geBOSmNcLtzumrOC+MrD2R/kfbliXNjdJx50MCKiEu+h7cPcx5+utj7lh7qPoaUJ2KNgeg9iU+NDOqj0sWwpLOXJTzdRXhlgxtnd6Z4aE+oiNbqqHwfcbnf7eB8sL4Hch6B0D4x7ArsrHceJbyVNqN3VwcbQwPGI3XXcvn+fk99f1edTMJ879fksheA/TxuirdTBa0fGMfn0rry5PI9b/vkDY/unc+mgDIVELZ3bjZHx/yg6cAB3eR4R3/0bvvmb2cqo18WQNUxBkTS5tvA+WFXu7du318g36mo11BCzZ88mNTWV8vJypk6dylNPPcXMmTO56KKLmDhxIhERETz66KP84he/YP78+aSlpbFlyxYSEhL48ssvueKKK9iwYQN2+/Fjm3//+9/cf//91ZcTExP597//3bThkMViabUVoOGM6uNvv49B+2Eh+OfYQu06UZ8qYrHUnboHSisJlB5uIRQoM7fx7y2vMVaANTqsVlhSn/JXbd/S67XNGU7Cdb1CXYxaNheW8vdPNuIPGMwY2YVuKW0vFDpSu3gfNAxY+y9Y9iKcfjt0OTvUJZIjtIs62IZVfT4F87lT36f4WJ+nja2t1MGIMBuTTunIFYOzeGt5Hte8uJSx/dO5bHCmQqIWzmK1YkntiyWtn/mZVfA9fPc2fPpHSOoOvS6BrFM0QYI0mdb+PlhVbpfL1eDGL+np6ezYsaP68o4dO0hPTwcgLS0NMGcTmzJlCvPnzweobuEDcP311/Poo48CNbu1nXrqqSQmJpKXl0d2dvZxy1DXzGQVFfVvSasBqUVaqP1zN7D/hXXVl0u29wRgx/W5NbaLm96jVmjicFiCGicCDo0V4Widb+yh9OMeD0/kbsIfMLhxZBe6tvFQqN0o3Agf3gsZA2HSm2Bv3F+QRERamnC7lYnDOnD54Ez+uTyPKc8vYeyAdC4blEm4XeFCi2exQEovcwEzKFr7thkUJXaD3pdA1nAFRSJNJD09HZvNxqpVq+jduzfz5s3j2WefBWDnzp2kpaURCAR455136N27NwC7du0iNTUVgLfffrt6/Z49e4iPj8dms/HDDz+wa9eu6qDpeLp3786f/vQnfvnLX2IYBn/+85/p0aNHvY9F4VCQZs2CoiIvoC8K0jziJnbFPTa7+vIf93jZcX0uGc+OJCzpcOeWurpYxbqsfP52ao2phffs9TNhRiHznkysnkoYzGBI0wgHb9MeD098sgnDMLjx7C7kJCsUahMqD8Lnf4bCH+CCP0BcdqhLJCLSrMJsVq4c2oFLB2Xyr+U7uObFJYzpl87lgxUStSrJPc0FoGDdoRZFf4KEHDMo6nAqWFv2UAIiLc2oUaNYuXIlpaWlZGZmMn/+fB544AGee+450tPTefzxx5k4cSJer5fJkydXD0Y9adIkCgsLCQQCDB8+nJtvvhmARx99lAULFmCz2UhJSakeSPqzzz7j3nvvJSwsDLvdzksvvUR4ePgJy/fXv/6Vq6++mnvuuQeLxcKZZ57Jyy+/XO/jVDgk0gQsDnvQM8RYHHW/DI/uLlY1Frw90YE9+fhjDoEZEFFHK8mkBBupyTopqK+CYi//9/56/IbBjSNzyEl2hrpI0ljW/xe+fByG3wjn3BPq0oiIhFSYzcr4oVmMG5TBv741Q6LRfdO4YkgmEXadP7QqyT0g+Tfm/3vWmy2KPnsYErqYXc86nqagSCQIixYtqrVu4cKF1f8PHz6ctWvX1trm448/rnN/Dz30UJ1TzV922WVcdtll9S5feno6H3/8MaWlpQBER0fXex+gcEikSdhc4XRaOAbD66te5yv0knddLpnPjcSeaLb8sTjs2FwnToMbgzPawo1TnTij1YWsPnz+AC9/uZVPf9jDry/oQa/09jkof5t0YJvZhSy+M1z1BoSfOHQVEWkvwmxWxg/J4tKBGby9Ip9pLy7lp33TGK+QqHVK6g4jf23+X7jBDIq+eATiOpktijqOUFAk0sps2LCBrl27smrVqjqv79evX732p3AoSLNmQXm5g9mzQ10SaS1srnCoI/gJtuXP0X73f2EUbe/Jn0+yPM5oKzOnKdioj2Vb9/GXDzcwtn86L14ztMZA4NKK+SrMlkJ5S2HU/ZDULdQlEhEJiqc0wJw3PEwd78QZ3Txdvew2K5cPzuSSAen8uyok6pPK+KFZColaq8SucNad5v+FG+G7f8EXfzG7VPe6GDqeDjZ9TRRp6W677TYWLFjAxRdfXOs6i8XCjz/+WK/96VUvInKUfaUV/N/767BaLDx+1UBio5qndZc0gx8/hc8fhkFT4fTb6j8dkog0iFqxNoyn1OCJOR4uuzAa50n0GgiUVrJ/7gbiJnatc8zC47HbrFw2OJOLB6TzzkozJDq/dypXDs3CEaaQqNVKzIEzDwVFezeZs3Uu/ivEdjC7nmWfoaBIpIVasGABhmGwePHioAauPhG90kVEDgkEDF7/ZjsLV+/k9p90Y2CHuFAXSRrqyCl+ty+BtP5w5avgUCs6kVBo7a1YPaUBnp9bwQ2TA8Q4W18gEiitZP8L63CPza53OFTFbrNy6aBMLh6Qwbsr85n+0lLO65XChGEdFBK1dgld4Mw7gDvMoOi7t+F/j4E7y+x6ln0G2E6u3ohI0znvvPNYs2ZNg/ejcEiklbCEW7H3jcUarZdtU1izo4g/vb+eUT2TeWnaMGzqQtZ6GQYUfGeOp5C3FJJ6mCe1Z/1GU/mKSIN4ygxeeN3HVZcZxLTzeQlsVguXDMzgov7pLFiVz7VzlnJujxSuOkUhUZuQ0AXO+KW57PsRvvs3/O9xcGdAn8ug01lqfSvSAlgsFjIzMyksLCQxMbFB+9K3TJFWwhJmJbxf3En/0id1KzpYyV8+/IESr4+Hr+hHcowj1EWSk2EYsHuNGQjt+AaSe5nN4UfepUBIRFqMhnTraqlsVgsXD8hgTL90/rN6J9fOWco5PVKYpJCo7YjvbHbFPv022LcZVr0Onz9ihkT9roQwnTuJhJLT6WTAgAGMHj0ap/PwLxePPPJIvfajcEikmVijw4ib3qPNnAy2doZh8O8V+bzxzXZuOqcrp3ZJCHWRpL4MA3atNpu971gOKb3NQOjsuxUIiUiL1BjduurLX1xRPXuqr9Bb42+Vxpg91Wa1MLZ/Ohf2TWPhoZDo7O7JTDqlI5HhConajPhOMPI34CuH1W/C3Csh6xQYeh04k0NdOpF2Z82aNaxfv56zzz6bjIyMBu1L4ZBIM7FGh5FwXa9QF0OADbtLeOi9dQzrFM+c6cMIsylIaDUMA3atMlsI5S+HlD7Qexyc8//UvF1E5Cj+4go2j14AgZrr867LrbnCCp0WjmlwQARmSHRRVUi0ZifXvbyUkd2SmTS8A1Hh+urRZtgjYOAkGHAVbP4U/vNLczy/U2ZAap9Ql06kXXjiiSf47W9/S/fu3Xn33Xd54YUXuPTSS096f3qHFpF2o6zCx2MfbWTHgYM8cEkf0mMjQ10kCUZFKWxZDJs+hj3fQ2pf6DUOzr1XgZCINKkDxQG8XqP68p69/uq/Fg6//zgcFmJddf/Q0NCWO0eW4cj7P9Kx7t/w+moFQ3UKHNq2EcKhKlarhTH90hndJ43/rt3FDS8v48xuiVw9vKNCorbEYoHOI82lcAN8/RQU7YAh0yDnJ2rJK9KEnnjiCVatWkWHDh1YvXo1M2bMUDjUHGbNgqIiLxAR6qJIO6U6ePKKDlby+tJt5K7fw/Vndubs7mr23KJVjR+06WPY9hVYrNBxhHmimdhNgZCINIsDxQHOuGQXgTrClYkz9ta4bLXC52+n1gpoGtpy51hlmDCjMKj7bwmsVguj+6ZxQe9U3l+7i5+9soxBHeK4enhHkmJ0TtOmJHaFC/8MZftg2Yvw5ePQ62LoPxHCo0NdOpE2JywsjA4dOgDQt29fSktLG7Q/hUMi0mZt3VvKi4u3sH1fGVcOzeKVaztrFrKWyrMHfvzEDIRK95gDSnc5B4b9TANdikhIeL1GncFQXQIBc3tcNdc3tOVOsGU41v23JFarhZ/2TeOCPqn8b9Ne7v33GlyOMKadnk2P1BZccKm/qHhzlrNTbzLHBXz9akgbAMOuB1d6qEsn0mZ4vV5Wr16NYRh1Xu7Xr1+99qdwSETaFMMwWLJ5Hy9/uZXIcBvXnJZNnwx3qIslR/NVwPavYdNHsHMVRCVAl7Nh1CyISQ116UREpIlYLBZG5CQyIieRjQUeXvrfZnYXl3PVsA6c1S0Jq37EaTvs4dBvPPS9ArZ9Ce//FuwOMyRKH6SWwCINdPDgQcaOHVtjXdVli8XCjz/+WK/9KRwK0qxZUF7uYPbsUJdE2ivVweOr8AX4z+p8/rl8B/0y3dx7US9SXGpx0mJUlMKe9ZD3DWz5zAyHsoaZzc3PuVdjEoiItEM5yU4evKQv+0sreG3JNp774kdG903j0oGZmuGsLbFYoONp5rLvR/jmBVh0P2QMMmcZTeuvoEjkJGzZsqVR96dwKEj7AsVUUonGexFpWapOKP+3qZDRfdN4ZvIQnVCGUrkHCtebQVDB9+ZJoL8CwqIgqbvZrPySJyEiJtQlFRGRFiIuOpyZZ+dw/RmdWbh6Jze88g39Mt1MOTVbP/S0NfGd4bwHzfEFdyyHNW/Ch/dC+kDofYl5nqCgSCQkFA4FKdxiZy0/csu8bdx4do76RouE2MYCDy8u3kxBSTlXndKBGWd1UVP05lTuMQOgPevMGcT2/ggBH4RHQWJ3SO5hTm8b38VsVi4iInIC4XYrlwzM4OIB6SzZvI/fLfgOh93GtBHqIt7mWCyQOdhcDAPyv4W1/4JFsyC1nxkUqeuZSLNSOBQkpyWKYfRkxnl+nvp0E55yPzeO7ELPNIVEIs3FMAwWb9zLP77aSmxUGNeM0CCWzaK0EPKWwvYlROevAZvFnHUkqYfZGmjA1ZDQBWxhoS6piEgNR09Ffyx1TQXvcFiwWglqQGir1dz+aBaHHayceFBq66Ft6yhXMGU41v23VhaLhVM6J3BK54TqySX+8uEPXDk0i3N7pmhyibbGYjG7mGUMMoOinStg7dvw0e8gtS/0Gmdep6BIpEkpHKqnDvFRzL60H9v3lfFE7iY85T5mnNWFXun6girSVPwBg4Wrd/LGN9sZ3DGOB8f1IdGpLp5Nwl8Ju9eaYVDeUnM62uhEyBwCvS6mdOCNuOMTdYImIi3e8aaiP1pdU8HHuqx8/nZqjXDJwKCkuJgYlwsLh98H6wqXAGyucDotHGPORAb4Cr3kXZdL5nMjsSce7i5lcdhrTWN/rDLU5Vj33xZ0TIhm1tjeFB2s5PWl25jywtcMzY7nwr5pdE1RF+U2x2Ixu5ilDzwUFK00Zzz7+HeQ0gd6j4OMwToPEWkCCodOUlZ8FLMv7cv2fWU8+ekmig5WcuPILvROV5NXkcbiDxj8Z/VOXl+6jXN6pGg8oaZQsvtQELQECtaBxQopvSFzKPS+FKITDm9rGFBUFLqyiojUQ2NMRR/rstZYZxgGkeFW3G4bliC/nNpc4bWmqLcnOrAnRwV1+6PL0F65I8O44cwuXHd6Z77Zup9Xv97GxgIPgzrGcWHfNLqlOIN+TqSVsFggfYC5GAbsWm0GRZ/8wZzlNHOIeb6S2letl0UagcKhBsqKj+IP4/qSt7+MJ3M3caCskhkju6hftEgD+AMGC1bl88Y32zm3RwrPTx2KI0yhUIP5KmD3ati+FHZ8AwcPgDPZPLnqOx6Se4JVj7OIiBybpzTAnDc8TB3vxBnd/K2VrFYLwzrFM6xTPIGAwfJt+5m31AyKBmbFMrpfGt1TYhQUtTUWC6T1MxcwWzbvWAbr34PP/g8CfrOre+ZQczbUmNTQllekFVI41Egy46L4/bi+7DhwkKdyN/Fk7iaFRCL15A8YvLvSDIXO66VQ6KT5ymHvRnO2sD3rzdnDKg+CNcxsFZQ1DPqNh6j4UJdURKRdsUaHETe9B9bo1tvKwVNq8MQcD5ddGI0zOrRlsVotDMmOZ0i2GRR9u30/byzNY0NBCQOyYhndN40eqQqK2qSoeOj6E3MBMxzas95sDf3xA2bLaIf7iNZF/TRBhsgJKBwK0qxZUFTk5URT2WfERvLAJX3IP3CQpz7dxBO5G5lxVg59MxUSScMEWwdbI58/wLur8pn/TR7n907lhWsUCgWl0muGQHvWHVrWm8GQLQwScsyWQD1GQ+Kt5gDSIiISUtboMBKu6xXqYrRJVquFwR3jGdzRDIpW5B3grWV5rN9dQr9MN6P7ptErzaWgqK2y2iCll7kMnmquO3jAbCm9cRF8/ggEKiGxmxkWdTpTP5KJHEXhUBNJj43kdxf3YWeR2ZLoidyNzDw7Ry2JRI7g8wf494p83lqexwV92kgoFAhAhQfKSw4txYeWEnP6d8N/8vs2AlCUB4UbzBDIHg4JXc1Zw3peBKffbk4lLyIi0o5ZrRYGdYhjUIc4DMNgxfYDvP3tDmYvXEe/TDfjBmZoMOv2IDIWckaZC5jnaHs3wPav4b1fmeFRWn/IOdcMjDRukbRzCoeaWJo7kvsv7sOuIi9//egHKnwGt5/XjYzYyFAXTaRx+SqOCENKjlqKzL++Cohw4g+PYUl+JZ9s9jKwWxYvjelCeFQYBMogEG1OG9MSeIugOB+Kdxz6uxO8Bw4fo68cOOoXSIsFwp0QEXPE4jL/RsaCtYFvuxlDILErhOk9RETkeBpjKnpp/SwWCwM7xDHwiKBozpdbyNt/kJ/2SeXCfuk4I/SVqF2wWs1xiZK6w6ApZle0nStg48fwxaMQ5jBbFHU5F+I7hbq0Is1O74RBmjULyssdzJ59crdPdTuYfWk/1u8q4XfvrqVTopMbz+6Cy6GEWoLT0Dp40so9kL8cti8xW6yUl5gtWI5msx8KQVxHBSMx4O4AETH4LHa++G4ry9ZvY3hmGHcODSOs8gdYs+xwkFThMWekOJo9ombQcuTiqON+w53HHlzZMI4Kfg6FP0U7oKzw8HYRLnClgysD3BnmeD2RcYfvy972uviJiLQUFocdrEAwM45ZD21/hLqmgd+z18+EGYXMezKRpITDnxFteSr4liaUA1ofGRR5K/28t2Ynt877loToCMYPzWRQhzh1O2tPrDbIGGwuAN5i2PwZ/O8x2L8F4jubQVGnM8zzPpE2TuFQM+ueGsPTk4fwxYZCbvzHckb1TGbS8I6E2XRCIi2AYZhj2OQtNcOgou1myJIxCDqeBkOmm4P71XNGK8Mw+OC73by0eAtj+g/lFzPHEWGvZ/cxX7n5oV1Xy6R9m+tY76kjxDIOB0+RsYeDH1cGpA0w/0Ynmq1/REQkpGyucDotHIPh9VWv8xV6ybsul8znRmJPdFSvtzjs5pTxRznWNPBJCTZSk1t5N+ZWqqUMaO0IszFuYCbjBmaypbCU+cu285cPN3Bmt0QuHZRJolM/ALU7Dhf0HGMuAHs3waaP4e0bwV9hdj3LORdS+7ecVu4ijUjhUJAsQf1sFbzTuyZyapcE/vXtDqa+sIQpp3bk/N6p+rVCmpe32JwGNG8p7FxpfvDFd4GsoXDG7eDOanBQsm1vGX9Y+D3dU2N4cVoDxhSyR4AzyVxERKRdsLnCoY7Qx57owJ6sMdakcWQnRnPn+T3w+QN8tmEPs95ZiwFcNiiDM7smYdePuO1TQhdzGXa9OTRC3hL47h34+EGIjIcuZ0OXcyAmNdQlFWkUCoeClMOHDAx7ETZcaw5q1ghpsc1q4fLBmVzYN40XFm9m2ktLufncrgzqENcIJRY5imFA4Q9mi6C8pWY3qogYsyltp7PgtJvNvtaNxFvp5+lPf2RtfhG/Hd2T7ETNliUiIiItl91m5ZweKZzTI4U9JeX869s8XvhiC/2z3IwfkkXHBJ3LtFv2cMg+3VwAPHvgx1xYdD94dpuzpHU5Fzqc2qjn0yLNSeFQkDZwPj9W9qPXrtfgq79Dr0ug/4RGGRQ2MtzGzLNzKPSU89dFG5jzvy388ifd6ZCgX8SkERTvhBWvmn2oU/qYrYLO+rU5hk4T+fSHPTyVu4kpp3bk5nNz1CJOREREWpWkmAhuOLML15/RmeXb9vPEJ5so9JQzpn8aF/ROIzJc3RLbNWcS9LvCXAwDdq8xu6AteQYsVug4wuyClthNwxVIq6FwqB7KiIczfmm2sFj7L5h3FaQPMpsaNkJzwkRnBA9c0oeNBR7++N91pLgc3HRODnHRtZtTixyXvxJ++C+seh3sDhhwlTnNeRP3j95ZdJDZC9eR5nbw3NQhRGv2DxEREWnFLBYLgzvGM7hjPJ5yH/9Zlc9Nc78lKtzG+b1TObtHElHhOt9p1ywWSO1rLiNugYpS2LIYvnnRbLXvzjC7n3UeaU5sItJC6Z3sZNjDof+V0G88bF0M//0N2CNh+M8hrX+Dd5+T7OTvkwbx9Y97uXnet5zRNZEpp2af/Fgt0n7s+QG+fRl2rYZuF8BFj0FUfJPfbaU/wIuLN/Plpr385qc96Z6qGR1ERESkbXFG2LlyaAeuHNqBQk8576/dxc1zV+AIs3J+71TO6ZHc4n8YC5RWsn/uBuImdsUarVmTm0R4NHQ7z1wADmwzWxUtuM2cNCVjsNmyKGMwRDhDW1aRI7Tsd6+WzmI53Pd07yb4+mn45A8waKr5xbyBrTRO6ZzA0Ox43l2Vz7QXlzJ+aCYX9UvXoHhSU7nHbMn23b8hNgsGXg0/eaDZmrAu2byPv370A5cNyuSFa4aqC5mIiIi0eYnOCCad0pFJp3Rkr6ecD77bza2vryDcbgZF57bQoChQWsn+F9bhHputcKi5xHaAwdeYi98H+cth25fwzQtQ4TEngMkaZs6GlpCjbmgSMi3vHauFmjULioq8wDGmtUzoAqP/BAf3w/KX4ZUnocdFZneeBiTCVquFiwdkcH7vVF5fup0pLyzh8sGZjO2vkKi9qVEHDcMcVPrbV6BkN/QeB+NfhvDmG6eq0FPOH99bR2S4jSeuGow7SicYIiLStKzRYcRN76EvtdKiJDgjmDisAxOHdWBfaQUfrN1VHRSd1yuFc3um4GyBQZGEgM1uBkFZw8zLhgFF280JY5Y+D/s2gS3c7I2SOdRsXeRwhbbM0m7oXaqxRcaZfU2H3wjfvwNvTIGU3nDKz8CdedK7dYTZmHpaNlcOzeKNb7Yz+XkzJLp4gEKi9sRSVghrX4ZNH0H6QBhxqxlMNiN/wOC1Jdv4YO0u7jy/O/0yY5v1/kVEpP2yRoeRcF2vUBdD5Jjio8OZMKwDE4Z1YH9pBR98t4vbX1+B3WbhvF6pnNszmRiHwk05xGIxWxbFdoC+l5vrKr2wcyXkLYHlc8yuaK50yDwUKiV0bfJxRKV9UjjUVGxh0Ocy6H2pmQR/eJ/5wnZnQFJPSOoOyT0hOqleTQcdYTamnFoVEuUx+fklXDoog3EDMxQStUVl+8wWQnlLYdcqIg0bDJ5sho+25n/5rtx+gIc/WM/5vVN5adowbFY1exUREZFjO1AcwOs1qi/v2euv8RfA4bAQ66r7PNZfXIHh9R33PiwOOzZXy5vAJS46vHqMogNlFXzw3W7umL+SSr+BI8xKqiuSNLeDtFgHaW4Hqe5IUmIidE7f3oU5oMMp5lKlaIcZFi2bA3s3ABZzOImkHuaS3BOiE0NWZGkbFA4FadYsKC93MHt2PW9osRx+cRsGFOXBnvWwaxWsfgM8e8ztXOmHXtiHXuDOlOOGRhF2G5OHd2T8kEzmHwqJxh0KicL0gdI6+X1Q8N3hMKh0D0TGm01Ku4/md5/+ioPlAWZfFdHsfZErfAH+/OF69noq+MuVA0h0HqN7pYiIiMghB4oDnHHJLgKB2tdNmFFY/b/VCp+/nVorIPIXV7B59AKo4/Y1WKHTwjEtMiCqEhsVzvghWYwfkgWAt9LPziIvO4sOsqvIy1c/7mNn0UEKisvxBcwwLcJuJdV9ODhKdztIcTmIxDjeXUlb5M4A9zhzKAmAQACKtpnfK3csgxWvQVkhYDF7qyQfaoyQdCg00jhGEgSFQ83Jcijhjc2CrqMOrzcMKM6HPd/D7rWw+k3wFAAGxKTVfHHHpNZ4cUfYbVw9vCNXDMnkzWV5THl+CeMGZjBukEKiFq+00AyBti8xQyEwn+vMofCT34EzucbmAQygvNmLmbe/jKc+3cRPe6cyomtSs9+/iIiIhE5DWv54vUadwdDRAgFzW44aWsXw+k4cDAEEDm3bgsOhoznCbHRKjKZTYvQxt/FW+tlV5GVnkZddxQf5erMZIOUVerDYbERF2Oma7KRbSgxdk51kJ0br/L+9sFohLttcup1/eH0gYI5htGc95H8LK+eZPzhjqdmDJa2fORyKBGXcuHHk5uZy7rnn8uabb9a6fsmSJUybNo3y8nKmTJnCvffeC8A111zDZ599hstlvrm99dZbdOnShZdeeolf/epXpKenA3DXXXdx5ZVXAvC73/2Ol19+mYiICF588UWGDRvWTEepcKhlsBx6sbozIOeo0KhkJ+xZBwXrzBmpSnZjhkapNbqnRcSkMemUjlwxOIu3lpsh0SUD07l0UKY+JELFV252JSwvNv96i83nMm+p2V0sKgEyh0DvS+Dsu0PSTSwYmXFRPHhJ31AXQ0RERJpZQ1v+OBwWrFZOGBBZrea2UpMjzEZ2YjTZRwRIJR4/z7yylxsmJIA9wKY9pfywu4T5y/LYXFiKzx8gKsJOTtKh0CjFSXZCNOF2fR9oF6xWiOtoLt3OO7w+EIDiHeZ3kV2rzEGvO54aunK2MrfccgvTp09nzpw5dV4/c+ZM5s6dS+/evRkxYgTjxo2jb1/z+9Njjz3GmDFjat1mypQpPPzwwzXWrV69moULF7Ju3Tq+//57pk+fztKlSxv/gI6hZX4bFZPFYnY3c6VDl3MOrzcMKNllvrj3rDMHvi7eCRiEO1OYmNSDy8/qznu7djH1+R1cNCCDywZlNs+HgmGYUzKWlxyxHApHKg9CWBRExECEyxx5PyLGXMKiWkZzR8MAXznWsgN0iNyC01aK0+4h2ubBaffgtHmItpcSYy+p/j92oQ9q/VBlmG+6Dpd5rFXHmdDVHIcqOiEURyciIiIStIa2/Il1Wfn87dRaLY8mzChk3pOJJCXYgOOPOSQ1ecoMXnjdx1WXGaQlhzEgK5YBWbE1tikt97GxwMOGAg9vVYVGAYPIMBudoiOIT7TiKCknM7n5ZrmVELNaj+jB8pNQl6bVGTlyJLm5uXVel5+fj8/no1+/fgBMmDCBBQsWVIdD9fHuu+8yceJE7HY7ffv2pbKykvz8/OoWRk2tXuGQYRgYRvvt49qijj8m1Vw6jzy8zjDAsxv2rMe+53suKl7PmKgd7Fp6kMW5UcSldaZXRuzJtyQK+KD8UPBTUQKVZYeuOCrUCXceDkOODEbCIs2gqCivZnhUUQIVpVDdf/qI/VWHSTHmfq22kys7gBGAirIj7tNjPmZH99u2R+I0nExIt+HxOyn1OfH4o/H4nGyr6Fj9f6nficfnZMh92aSm1LMZ80nWo/rUQUtLCNtOQot5jUktVfVPz5GEiuqgNJRx6DPf4OTqUWurg/UppmHU/gw26jG2zbEeU3eMBXeMpcZ2AIkJVlKSDp+T1nXbhpa/JfKUBpgzv5SpV0TjjK7/OXnVMR6vHkaF2+iX6aZfprvG+rIKHz+s38cX9g089uVmCj7dgNNhZ0BWLAOzYumd4SLC3oBzbWkXWtv7YF2qyl5cXFxjfUREBBER9RtbNT8/n4yMjOrLGRkZfPrpp9WX77jjDu6++25Gjx7Ngw8+iM1mvsbmzp3LBx98QJ8+ffjLX/5CSkoK+fn5jBw5ssa+Wmw4VFRU1KorQUN4vRFUVFRQVORt4V+6IyFhgLn0MNdEGQZ9Swr4ZvV3zF+zn06JkZzXI4G4qHoGGhYbRrjTXCJiwNbEAyMbBvi8WCqKsZR7sFSWmgFPQ3YZFoURHmOWPywKLHV/KBcUBvjTk96g9lniKSXScbBB5QpGfeqgzWYjJiamycvUFDweD36//8QbSrMzDAOPxwO03vBRWjfVQWmokuLAob/FRIaf3Bfz1lQH/SXBncsAFJcUY4uoqLGu6vEKRrCPaX2eg4aWvyUqKAzw5Bwv553hIzmx/nXw8ONXQlRE/W/fIcrgp7sCxA1Px5booMTrY81ODx+t3cHjH62nwm+QHe+gX0YM/dJdpLrCW0Vdl+bT2t4H61IVCmVlZdVYf9999zFr1qxGu5/Zs2eTmppKeXk5U6dO5amnnmLmzJlcdNFFTJw4kYiICB599FF+8YtfMH/+/Ea735NVr3DI7XZXD6bU3jgc5l+3O6J1vghiYzk/qxvnGQZLtuznj19uxRFm5ZrTsumT4T7x7UMqtdnv8WCFHwjuhCTG5cLtbvpfWVp9HQyS0+kMdRHkGKp+HHC73W26DkrLpTooDVX1+X6yn92trQ76ysPZH+S2rhgXdndkjXVNcT5Un+egoeVviRpaB8vKfYduH4PbXf8RQqoe06rHy+2GzJQELhhgXh8IGGzeW8q32w7w8rLd7DzgJSrCRv/MWAZ2iKVvhhtHmFoXhVKgtJID8zYSOyEHa3RYs99/a3sfrEtVubdv314j36hvqyGA9PR0duzYUX15x44d1S190tLSAHA4HEyZMqU6AEpIODzEyPXXX8+jjz56wn01h3q9o1gsllZbARrOqD7+1vwYWCwWhndOYHjnBLYUlvLS/7bwl0UbmDA0i3N7pmCztt5ja0yWo7vKnWDb5qkTbaMOnkhbPra2oD3UQWnZVAelIao+3xvy2d2a6mB9imix1P4Mborzofo8Bw0tP4C/uMKcyex4t3XYsTXTTGcNrYNVtznZOlh1k2M9XjabhZzkGHKSY7hiiNmqwlPuY+X2AyzZvI/nv9hMuS9AfHQ4XZNj6JbipGtyDJlxkVj1PaJZGGU+9r+wDvfYbCzO0MzQ15reB+tSVW6Xy9Xgxi/p6enYbDZWrVpF7969mTdvHs8++ywAO3fuJC0tjUAgwDvvvEPv3r0B2LVrF6mpZgOIt99+u3r9mDFjuOGGG5g5cybff/89YWFhLTccas9mzYKiIi9Q/zSxpcpOjGbW2N4UHazk9aXbmPz815zXK4UrhmQRHdG4VcNTGmDOGx6mjneeVP9qaZt1UEREpDk5oy3cONWJM7p1fqFpC+rzHFgcdrBy4unsrYe2PYq/uILNoxcEdftOC8c0W0DU2jgj7IzISWRETmL1un2lFWzYXcKGAg+f/bCHvP0HMYDYyDByDgVG3VKcZMZF6cdnafVGjRrFypUrKS0tJTMzk/nz5/PAAw/w3HPPkZ6ezuOPP87EiRPxer1Mnjy5ejDqSZMmUVhYSCAQYPjw4dx8880APProoyxYsACbzUZKSgpPP/00AP369eOCCy6ge/fuOBwOnn/++WY9ToVDgjsyjBvO7ML0EZ14b80uZry6nJ6pMUw9LZv02MZpnuspNXhijofLLozGGX3i7UVEREQamzPaysxp7XOIhJaiPs+BzRVOp4VjarT88RV6ybsul8znRmJPNPvcH6vlj+H1nTgYAggc2raNhkNHtp7yFXpr/K1S39ZT8dHhnNI5gVM615yBd39pBRsKPGwoKGHxxkLy9pcRMMDlsNM1JYauyU66p8bQIT6q1bY6aahAaSX7524gbmLXkHQLk/pbtGhRrXULFy6s/n/48OGsXbu21jYff/xxnft76KGHeOihh+q8btasWY067lF9KBwKUqC0ktJ//EjMNX2whaj5XlOz26xc1D+di/qns2zrfv7433VYgGtGdKo1Raa0bj6fj3vuuYcFCxYQGRmJ0+nk0UcfxeFw8LOf/YxPP/2Uhx9+mEWLFrF7924Mw+C5555j8ODB1ft4+eWXefTRR3E6nfj9fu644w7GjRsHmE0iv/jiC2644QZKSkpYtWoVJSUlvPTSSwwaNChUhy0iIiKtjM0VXmdoY090YNdU7Cd0rNZTedfl1lzRSK2n4qLDGdYpnmGd4musP1BWwcYCDxsKPLzwxWa27Ssj3G6lb4abQR3i6JcVi7ORey40lYaGO4HSyupuYQqHpCVpHa/AFmDWLAtFr0fy5yt8bTYcOtLgjnEM7hjH9n1lzPnfFh5d9APjh2RxXq8U7DZ1CwuFWbOgvNzB7NkN39e9997LBx98wFdffYXT6eSZZ57hJz/5CRs2bCA3NxeLxcKbb77Jxx9/TGRkJPfffz8XX3wxmzZtIiIigvfff5/bb7+dFStWkJmZyaZNm+jfvz8ffvghp556KgsWLGDkyJHMnz+fr776ipSUFG6//XZuu+22GlM7ioiIiLQmoWj1caA4gNdrDgK8Z6+/+u+RY0I5HBZiXbXP0VtK66nYqHCGZMczJPtwaOSt9LNmRxHLt+3n1a+34Sn3kR4byaAOsQzsEEfnxOgWMY7R0eNW+Qq97H9hHdGnpZ6w9VpLcGT9OZ5j1SFpPxQOyXFlxUdxz5heeMp9vLF0O1NeWMI5PZIZPzQLl0NJd2t08OBB/vKXv/D4449Xzwx27bXX8tvf/pZnn32WO+64A4DrrruOyEizW+Gtt97K/fffz1tvvcVVV13FH/7wByZMmEBmZiYAXbp04eyzz+aJJ57g1FNPrb6vc845h5SUFABGjhzZ7P1mRURERBpTc7f6OFAc4IxLdhE4KuCZOGNvjctWK3z+dmqr+nLvCLPVCIwMwyC/yMu32/bz2tfb+LHQQ5jNSp90N4M6xtI/K7bZv38cb9yqGq2vWui4VceqP3VpjXVIGpfCIQmKM8LO9NM7MfW0bD78bje3zltBdkI000ZkkxXfPE161T+3cWzcuBGv10tOTk71OpvNRnZ2NqtXr65e17Fjx+r/3W43CQkJfP/99wCsWbOGvLw8Ro4cWb1NYWEhPXr0qHFfR46uHxMTQ3FxcWMfjoiIiEib5fUaQX2xDwTMbWnFQ2pZLBYyYiPJiI1kTD/zHNJb6Wf1hr18u3Ef877YQkm5j4SocCLDagYYFpsVS3jdoYZRGcDw1XwQo+w2nBF2nOE2YiLsxMRE4HI7cDrsOCPsxBz6G36wssEtr+pqeXTkX2i6lkfB1h9oG3VIGkbhkNSLzWrhgj6pXNAnlVV5B/jLhz9Q4Q8w9bRshnSMa9KB5dQ/NziGYfD5hkLO7JbUpPdz9dVXc//99x93G5vNVv1/ex10UEREpLVyOCxYrZzwy6XVam7bHKzRYcRN76FzwVbkyG5NpWUB3lxQxuVjooiOOhzmHKtLU9hBP3E3fME5ATinan9hUHl0dbNC1sujsMXUrhf7526gaN7m6suGBbxWC2V2KLVBmc1C2dlp7BqWjKfch6fcR4nX/FtWVkFpHzsc1SvLXQlJ5QaJ5QZJ5ZBUaRBvGMQZRo1z3tbe8kjaF4VDctL6ZcbyyJUD2Fl0kJe/3MrfPt7IZYMyGN03jTCNSxQSS7fs428fb+Ti/mnH3CYnJweHw8HGjRs566yzAPD7/WzZsoUJEyZUb7dt27bq/w8cOMDevXvp2bMnAH369GH9+vU19vvJJ5+wbt06ZsyY0ZiHJCIiIiepoVPBx7qsfP52ao3xSur6ct+cY5VYo8NIuK5Xs9xXW9DQOgA1W74EynwU/Xsz7os7YY06vP2xWr4cq1vTy2+W1rz7Y3RpqmvMpNjKug8hNdyO3V17puWUyT0JXHq4xXxdM95Zo8OOGTj6r6jZ8sdfWsnWf22i9IxUdvt87Cop51tvBe/lbqD44OHCxUaFkxpmIyzFSmI5JB8Kk2J8UCtKbeMz5knroHBIGizNHcmvL+hBWYWPt5blcc2LSzg9J4mrhnXAHaVfdZrDj3s8/PnDH0iOieCvVw4gLvrYHyyRkZHcdtttPPHEE0yYMIHo6GhefPFFrFYr119/ffV2r7zyChMnTiQyMpK//vWvpKenc9lllwFw9913c8kll7By5Ur69+9PaWkpv/3tb/nDH/7Q5McqIiIiwTl6Kvi6vhTD8bu0xLqsR3UzsfHrX7ibsNTSmI6uA8dyrDpwrJYvRa9vqrmiiVq+NEa4dXTwU9X6LLxjTFAt0I6eMc8OdLv9+LPvGobB/rJK8jbvZ1X5RvZEwHcuK3siLJTYa4dD4X5I+WAdrtjDXdtcjjCcDjtRfojGHOYjJtyOw+Oj1AZ5W4s4uLeUknIfngofpQaUWQ1KvIdbPhUcqMTb1QPWgNn66dAd23cnYj+g17HUpHDoGI7uGxoos/B10ePMut+JLfqIh81uxRphdp2ZNWtW9eoj/69LW972lXvv45P1Bfxy/kryflhFT9tubAcPUrCllIf/Lxpn9OFfBOqz33tu/FWTlLeubT2lAQq2lNbaNjn7l9X/F2z5M0CtY2qsMhwtN9fg1FPvqrFur6ecxz7awP6ySu48rzvZidHHvZ8qv/vd7wgEApxyyilERkYSHR3NBx98gNt9+EPiyiuv5MorryQvLw/DMHj77beJiIgA4LzzzuOZZ55h8uTJOJ1OrFYrv/jFLzj77LMBmDBhAitWrGDLli24XC4GDx7MrbfeClA9i1lSUtN2exMREZG6p4LXNPDtS111oLnU1fqsLsdqfVZXuFVX66X6jNnTHK3PLBYL8dHhuJJjiNp3/GTLACqskPD/OnMwJgyP10dJeSUer4/iA16+e3QFZVaL2QXObqHUDtYcO1F/W0qUzzDDI59BVAA63T2ErHSXGSxF2AlUWvnkxb0E/JYas9vVpTm7h0rLpHCoDnUl5CXbze40Je9uqbmxBWIndasOiASsVgvn9kzh3J4p3HzvR6z2p3HQasOavAWDY7QDlXrxVvp5/ovNLNm8j5vPzWFwx/gT3+gIdrudhx56iIceeuiY2/To0YOf//znx7z+6quv5uqrr67zunnz5tVat2LFinqVUURERERCq6Etj6Cu1mf1L8PR4VbSLf1PfofNKJiWTxYgAkhKiKr1GPqLK9i8c3lwg2JboVO35Fr7+OJf6TXCuT17/UyYUci8JxNJSjj8HVZT2YvFMIzjx7hAcXExbreboqIiXK62P3y5r6CMLZf8N+jts9++QL++nMDazWVccu93DD09wI3ndGZETkK9Byiuel6a4/HeVeDn3PG7g9r2ozdSSE1u+nDQMAz2HzjAxz96eGvZDiaf2pGf9kltkoGeLRYLn3zySY3ZyEQMw6CoqAi3260BxiUkVAcl1Fp7HWzOc6mW4HiDAddQjy5R9X0MjxyMGer/xbwlnpNK/dQ1W9nR3TuPF64Fc/sT7eNIVXXqZOtLa38fhPaXbwRLLYekWSRERxC+PZ37LohjwfptPPfFj1x7eidOz0lstW8qzamswsdH3xfwjy9/5Pw+GcyZPoxwe+Mn++vXr+dnP/sZALfeeiv33Xcf48aNa/T7EREREWlqdbV6aYwv5kf+rVLXPo41GDPAhBmFNS4fa0Bmaf2ObvnU0DGPqqh7qDQ2hUPSrNyR4fzyvO4cKKvghS8289znm5l+eifO7KqQ6Gil5T4+WV/A+2t3c7DCz9ndk/i/S3qQlVL/VlfB6t69O7m5uU2ybxEREZHm1pAv1kFPQw51tj7yeo06g6G6BALm9kd3v3I4LFitnHA/Gi+m9dCMe9JSKRwK0mOHxhy6Oev7EJfk5HhKA8x5w8PU8c46B09ubrFR4dx+XneKyip5fvFmnv9iM9NHZHNWt6R2HRKVlvv4aF0B76/dRYUvwDk9kpl1US8SnBHcd5/B6vJyZs8OdSlFRERE2r66plE/piaaivzoAZ09ZX5ee2s/V10WhzNK48WISONRONRKNDTc8ZQaPDHHw2UXRuMMbkKrZuGOCuP2n3Sj6GAlLy7ezAuLtzBtRDYj21FI5Cn38dH3u/ngu91UHgqEHri4D/HHmY5eRERERNqHIwd0NgwrN18bgdsd1m7OlUWkeSgcaiVaarjTWNyRYdw6ygyJXlq8hRcXb2HKgAzOyoit/uCrq493faatbEmqA6G1u6n0Bzi3ZzIPXtyHOAVCIiIi0kSqxjoJZpwTEWmbnNEWbpzqxBmtcFFqUjgkLYo7MoxbRnXlQEEpj96yiCdjrIzL93PKvgBVb181+njXY3aJUAoEDApLy/nfxr18+N1u/AGDc3om8/txfYiNatllFxERkbZBY52ItH4NDXmd0VZmTtMMXVKbwiFpMkdO3blnr7/G3yrH6h/txMLVW/2U2vy8nW7jXxlhjMn3M/hAgKgjd9FE/bvrI2AYFJR42VXkZWeRl50HDrKz2LzsOTS7hcViISE6nCHZcfxhXF/cUfrFTkRERERE6kchrzQVhUPSJI41dWd9p+2M9sOk7X4uyffzfoqNh7vZOWizkOI16FkSoFexQUfDCKpMJztuk4GBEVFBIMqLEVGOEV5JILwCbObB/fqdHWTER5DqdpDujqRzkpMROYmkuh3EOBQCiYiIiIiISMumcEiaRLBTdx5r2s6jRfvh0nw/l+aDARREwHcuK++mWXnpX6sIjwqjb4abgR1iGZAVW2coc6Jxm/wBg617S9lQ4GH5j8V4cwrB5gcDLOURWA86sB50YDngwlIRhiVgzhDxfw+kkJpsq71DEREREWm1LA47WAluxjLroe1FRFopvYNJq2MBUsohZU+As/dA9iP98cVFsDa/iG+3HeD1pdsp8fpIczsY1CGOQR1j6ZzorL69LxBg056DbNhdwobdHjYUeCjxVmKzWukQH0W3FCeDs+J5ZbMDi18vEREREZH2yOYKp9PCMeYQBof4Cr3kXZdL5nMjsSc6qte31klSRESq6JtvkG7O+j7URZDjcITZGNwxnsEd46vXrc8r5ZstB3j+021s3VdKRYWBt3sFv3wrj87J0XSKd9I/PZ6pI7JxHdXS6EBxAJtRccIfiqxWc9yk5jBrFhQVeYGIZrk/ERERkfbO5gqvc2xLe6IDe3LUcW/rcFiwWgmqNX1znlOKiNRF4VAb1pABoVu7A8UBLp9SRCBgAeKAOAwMHFhYsx7WHNrOai3n87dt4Kh5+1iXlc/fTq1+/MB87CbMKGTek4kkJZjdyNrq4yciIiIiDVPX+eSx6JxSREJN4VAb1RgDQvuLK6qb0QbKfBT9ezPuizthjTpcbVpqE9q6xjyyUPvXmOONeRTrstZY74y2cONUJ5062Os1oLWIiIiItE9Hn0+KiLRUCoeC9Nj2nkDr6V7W0AGh/cUVbB69oNYAfEWvb6q5wgqdFo5pkQFRY3NGW5k5LXSf7rNmQXm5g9mzQ1YEERERkXbNGh1G3PQeWKM1I62ItC1q/iB1Mry+4GZmCFBjkD4RERERkbbKGh1GwnW9FA6JSJujcEhERERERNoFtfwREambupW1YO15QGkRERERkcZW1fJHRERqUjjUQjXGgNIiIiIiIiIiIieiRKGFqveA0kdxOCxYg3h2rVZzWxERERERERFpn9RyqI2KdVn5/O3UGt3SJswoZN6TiSQl2Kq3U7c0ERERERERkfZN4VAbFuuy1pqiPinBRmqyre4biIiIiIiIiEi7o3AoSDdnfR/qIkg7N2sWFBV5gYhQF0VERERERETaEPUnEhERERERERFpxxQOiYiIiIiIiIi0YwqHgvTY9p48tr1nqIsh7disWfDQQ45QF0NERERERETaGIVDUieLwx5c7bAe2vYoDocFaxC3t1rNbRtbqO9fREREREREpLXQgNRSJ5srnE4Lx2B4fQD4Cr3kXZdL5nMjsScebr1icdixucJr3T7WZeXzt1Pxeo3j3o/DYTFnVWtkdd3/nr1+JswoZN6TiSQl2Jr0/kVERERERKT1GzduHLm5uZx77rm8+eabta5fsmQJ06ZNo7y8nClTpnDvvfcCcM011/DZZ5/hcplTiL/11lt06dKl+naPP/44N910EyUlJTidTnJzc7nkkkvIzs4GYOrUqdx2221Nf4CHKBySY7K5wuGo4Mee6MCeHBXU7WNdVnCd3H1Xt1wKnGDDY7RcOt79JyXYSE22nVzBREREREREpN245ZZbmD59OnPmzKnz+pkzZzJ37lx69+7NiBEjGDduHH379gXgscceY8yYMbVus2fPHv7zn//QoUOHGutHjRpVZwDVHOoVDhmGgWEcvyVIW1DfQzQMTvi4eEoDzJlfytQronFGn7ilikHwhTA48fNStb9gtq3z9sbhv81RB6wxYWT/50IMr796na/Qy47rc8l49nDrJYvDhjUmLKgyNfQxaAnq8xq0WJquu1xrffykYarqn55/CRXVQQk11UEJNdVBCbW2UAeryl5cXFxjfUREBBEREbW2HzlyJLm5uXXuKz8/H5/PR79+/QCYMGECCxYsqA6HjuWuu+7i/vvvZ/z48SdxBE2jXuFQUVFRq64EwfKXeOu1fXFJMbaIiuNuU1AY4Mk5Xs47w0dy4onDoZLiEzWZOXLbYiLDj7/Pqv0Fs21dqh6TYI61UR3x2vQfut+yiApsEYeOwQCKDga1q4Y+BqHm9UZQUVFBUZH3hMGPzWYjJiamycri8Xjw+/0n3lDaFMMw8Hg8QNOGjyLHojoooaY6KKGmOiih1hbqYFUolJWVVWP9fffdx6xZs+q1r/z8fDIyMqovZ2Rk8Omnn1ZfvuOOO7j77rsZPXo0Dz74IDabja+++opAIMCwYcNq7S83N5f+/fvTsWNHHnnkEXJycupVnoaoVzjkdrur+8u1Zb7ycPbXY3tXjAu7O/K42xys8ANeYlwu3O4Td2mq2j4Yweyzvvd/tKrHJJhjbSoNLUNDH4NQcxwa6sntjgj5G7HT6Qzp/UtoVP044Ha7Q14HpX1SHZRQUx2UUFMdlFBrC3Wwqtzbt2+vkW/U1WqoIWbPnk1qair/v717j6qqzv8//jrngCAcuaih4g3vF7pYmUL5a/x+1Vk5usZMV0VepzFDNB3L1mg1XnOZ45pVqzGlr42KjkGhqZToWDbjaBNL/c5SIVmWFxzkFngB5Cax9+8PvpxETSE5bOE8H//A2Xuffd7n9HJvzrvP/uyKigpNmTJFsbGxmjFjhhYsWKD4+Pgbtn/ooYeUkZEhp9Op7du3KyoqSocPH27Qmm6lXs0hm83WZANQH/V9izbb7bumNtlcP+vyGdZsX6fXr8M+6/v6Nzzf9uNPqzLgcHor+Pm+cji9f957uMPPwHqm69+g1fVb/fqwzt2SQXguMgirkUFYjQzCak09gzV1BwQE3PHgl9DQUGVlZbkeZ2VlKTQ0VJLUoUMHSZKvr68mT56sxMRETZw4UWlpaYqIiJAknT9/XuHh4UpNTa1Vy9ixYxUdHa2qqio5HI0zsIEJqetodud0q0vweHZ/b7WZ1t/qMiyzeLFUWFiuWtfaNaSPPpJWrJCOHav/xFsAAAAA4GFCQ0PlcDh0/PhxhYeHKyEhQevWrZMk5eTkqEOHDjIMQ0lJSQoPD1dgYKDy8/Ndzw8LC1NaWpqcTqfy8vLUrl07SdLBgwd1zz33NFpjSKI55DaXi4wbbqN+7c8a3Eodd41nnpHatZP+67+srgQAAAAA7grDhw/XsWPHVFJSok6dOikxMVHLli3TBx98oNDQUK1evVpRUVEqLy/XpEmTXJNRT5gwQQUFBTIMQxEREZo9e/YtX+fjjz9WbGysvL295XQ6tXnz5sZ4ey40h9zgcpGh//dkroybzCn97IyCWo/tdunAjvZ3fYPI7l99SZfd39vqUgAAAAAAaBRffPHFDcuSk5Ndv0dEROibb765YZsvv/zytvvOyMhw/f7SSy/ppZde+nlFNoC7uyNxF3k3s5/ezexXp23Ly82bNoZuxjBUa4RRDV9fm+x1+K9jt1dv6241l3TRHLLO4sXSW2/5NszOPvxQeuSR6lFCkZHSggUNs18AAAAAQJPDyKG7VFCAXQd2tHc1jvIvVOnZGQVKWNtW97T58bpDLktDvWVnS5MnS99+K3XvLuXnS337Vs83BAAAAADwODSH7mJBAXbpusnT72njUPuQpncbdtxF8vKkqiopI6O6OXTPPdI1wyIBAAAAAJ6FISeApxkwQJo0SRo+XPrv/5b+53+ke++1uioAAAAAgEVoDgGexmaTNm2SUlOlhx+WXn+9umF0+bLVlQEAAAAALEBzCPA0WVnS119L4eHSqlXSN99Uz0O0b5/VlQEAAAAALEBzyEM4/W2KmeKU09/9dzbDXe6776RXX5UqK6sfG4ZkmlKvXtbWBQAAAACwBBNS10PLwjS11tYblttX/a/k7119r/H/E5Pxp1vua03YK67fnauWSP636NNds9/6bFvreZJmStKq229bn/02pW2dJYZiMkrkXOVf+zO8S+u9wT9+UX3b+TvVt291IygyUnI6pZIS6b33pPT0H+9YNnSotGGD1K3bnb8eAAAAAOCuRnOojmZ3Tr9pYwhoLIuH/kOFcx+U5HNnO2rfvrrxczPPPHNn+wYAAAAANDk20zTN221UVFSkwMBAFRYWKiAg4HabN3k/fF+qjCf31Hn7sB1PyCvEz/U49/sqDXs6r87P3/dxu9venv5KiaG4j69oytNOOW81cgg/qal/hqZpqrCwUIGBgbLZuDwQjY8MwmpkEFYjg7AaGYTVmkMGPa2/UVeMHGoinP52zfwNwb0TfIYAAAAAANyo6Q2fAAAAAAAAQIOhOQQAAAAAAODBaA4BAAAAAAB4MJpDAAAAAAAAHozmEAAAAAAAgAejOQQAAAAAAODBaA4BAAAAAAB4MJpDAAAAAAAAHozmEAAAAAAAgAejOQQAAAAAAODBaA4BAAAAAAB4MJpDAAAAAAAAHozmEAAAAAAAgAejOQQAAAAAAODBaA4BAAAAAAB4MJpDAAAAAAAAHozmEAAAAAAAgAejOQQAAAAAAODBaA4BAAAAAAB4MJpDAAAAAAAAHozm0E3YfL3q/snY/297AAAAAACAJoiuxk04AlqoW/JomeU/uJZV5pcr64V/qOO6ofK+x9e13ObrJUdAi1rP9/W1yW6XDOP2r2W3V28PAAAAAABgBZpDP8ER0EK6puljmtU/vdr6yivE75bPDQqw68CO9iovN13LSkoNbf2sVONH+8nf78dhSb6+NgUFMIALAAAAAABYg+aQmwQF2KWAa5c49PtZgVaVAwAAAAAAcFMMWakju7+XWj4XJrs//TQAAAAAADzB2LFjFRwcrPHjx990/aFDhxQeHq6ePXtq6dKlruVTp05V9+7dNWDAAA0YMECnT5+u9bzVq1fLZrPpypUrkiTTNBUdHa2ePXtq4MCBN2zvbjSH6sju7y3/id1l9/e2uhQAAAAAANAI5syZo02bNv3k+pkzZyo+Pl4nT55UcnKyUlNTXeveffddHT16VEePHlWPHj1cy/Pz87Vr1y516dLFtWzXrl0qKCjQqVOntHjxYv3+9793zxv6CTSHAAAAAAAAbmLo0KFq1arVTddlZ2frhx9+0P333y+Hw6Fnn31Wn3322W33uWDBAi1ZskQ22483p0pKStKkSZMkSaNGjdK//vUvmab5U7tocPW6Rso0zUYt7m5S89499f3DemQQViODsBoZhNXIIKxGBmG15pDBmtqLiopqLffx8ZGPj0+99pWdna2OHTu6Hnfs2FH79+93PZ43b55ef/11/epXv9Kbb74ph8OhlJQUGYahQYMG/eS+bDabgoODdeHCBbVt27ZeNf1c9WoOFRYWNukQ3AnTNF3XAl7b3QMaCxmE1cggrEYGYTUyCKuRQVitOWSwpinUuXPnWssXLVqkxYsXN9jrrFixQu3bt1dFRYWmTJmi2NhYzZgxQwsWLFB8fHyDvU5DqVdzKDAwUAEBAbffsBmqaYoFBgY22X8EaNrIIKxGBmE1MgirkUFYjQzCas0hgzV1Z2Zm1upv1HfUkCSFhoYqKyvL9TgrK0uhoaGSpA4dOkiSfH19NXnyZCUmJmrixIlKS0tTRESEJOn8+fMKDw9Xamqqa18DBw6UaZq6dOmS2rRp87PfZ33Vqzlks9mabAAaQs379+TPANYig7AaGYTVyCCsRgZhNTIIqzX1DNbUHRAQcMeDX0JDQ+VwOHT8+HGFh4crISFB69atkyTl5OSoQ4cOMgxDSUlJCg8PV2BgoPLz813PDwsLU1pampxOp0aPHq1NmzZpzJgx2rVrlyIjIxv1M+a+7AAAAAAAADcxfPhwHTt2TCUlJerUqZMSExO1bNkyffDBBwoNDdXq1asVFRWl8vJyTZo0Sffdd58kacKECSooKJBhGIqIiNDs2bNv+TqjR4/WZ599ph49eigoKEgJCQmN8fZcbGYdJhEqKipSYGCgCgsLPfqyssLCwiY9fA5NGxmE1cggrEYGYTUyCKuRQVitOWSQ/sbNcSt7AAAAAAAAD0ZzCAAAAAAAwIPRHAIAAAAAAPBgdZqQumZaoqKiIrcWczczTVNFRUVNelZ2NG1kEFYjg7AaGYTVyCCsRgZhteaQwZq+Rh2mX/YodWoOFRcXS5I6d+7s1mIAAAAAAADcrbi4WIGBgVaXcdeo093KDMNQdna2WrVq1WS7g3eqqKhInTt3VmZmJjOawxJkEFYjg7AaGYTVyCCsRgZhteaQQdM0VVxcrNDQUNntzLRTo04jh+x2uzp16uTuWpqEgICAJvuPAM0DGYTVyCCsRgZhNTIIq5FBWK2pZ5ARQzeiTQYAAAAAAODBaA4BAAAAAAB4MJpDdeTj46NFixbJx8fH6lLgocggrEYGYTUyCKuRQViNDMJqZLD5qtOE1AAAAAAAAGieGDkEAAAAAADgwWgOAQAAAAAAeDCaQwAAAAAAAB6M5hAAAAAAAIAHozkEAAAAAADgwWgO/QyGYWjp0qU6ceKE1aXAQxmGoblz5+rIkSNWlwIPRQZhNTIIq5FBWI0MAmhINIfqyTRNPfXUUwoKClL//v1vWAe4m2ma+vWvf63u3btr4MCBKi0ttbokeBgyCKuRQViNDMJqZBBAQ/OyuoCmZs2aNfLx8dH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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_tb.plot_multi_barrier(barrier_builder)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "6500e8e0-598e-482e-98dc-cfa956710d19", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hit \n", + " Datetime: 2023-01-03 14:45:00 \n", + " Level: 1.0543500000000001 \n", + " Type: stop-loss\n", + " \n" + ] + } + ], + "source": [ + "print(\"Hit \", barrier_builder.multi_barrier_hit.first_hit)" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "55c5791d-7c40-4c39-8d9e-654107a7ac7c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Open datetime: 2023-01-03 14:45:00\n", + " Open price: 1.05485\n", + " Stop loss: 1.0543500000000001\n", + " Take profit : 1.05585\n", + " Trade side: TradeSide.BUY\n", + " Time limit: 2023-01-03 15:35:00\n", + " Pip position: 4 \n", + " \n" + ] + } + ], + "source": [ + "print(barrier_builder.multi_barrier_box)" + ] + }, + { + "cell_type": "markdown", + "id": "0cf8a55a-90bc-4e24-9509-3c915d0ae57a", + "metadata": {}, + "source": [ + "## Short Setup" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "58f5217b-8bf3-4caa-bdfe-5eb284bace09", + "metadata": {}, + "outputs": [], + "source": [ + "price = dummy_strategy.calculate_test_features_short()\n", + "mask_entry = price[\"entry\"] == 1\n", + "entry = price[mask_entry]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f4f930a3-780c-4713-96c0-44dca341e999", + "metadata": {}, + "outputs": [], + "source": [ + "row_index = 2\n", + "box_setup = MultiBarrierParameters()\n", + "\n", + "box_setup.open_time = str(entry.iloc[row_index].name)\n", + "box_setup.open_price = entry.loc[box_setup.open_time][\"open\"]\n", + "box_setup.take_profit_width = TAKE_PROFIT_WIDTH\n", + "box_setup.stop_loss_width = STOP_LOSS_WIDTH\n", + "box_setup.time_limit = price[box_setup.open_time:].index[TIME_BARRIER_PERIODS]\n", + "box_setup.trade_side = TradeSide.SELL\n", + "box_setup.pip_decimal_position = PIP_DECIMAL_POSITION" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "1dd77709-eec4-4cde-95c7-a690e63ea5da", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "barrier_builder = MultiBarrier(open_price=price.open,\n", + " high_price=price.high,\n", + " low_price=price.low,\n", + " close_price=price.close,\n", + " dynamic_exit=price[\"exit\"],\n", + " box_setup=box_setup\n", + " )\n", + "barrier_builder.compute()" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "9b5cfd94-4858-46e6-9395-b06c8e76952d", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Plotting barrier for 60\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot_tb.plot_multi_barrier(barrier_builder)" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "86b7ff63-a356-4073-ad23-df0d816ff069", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Hit \n", + " Datetime: 2023-01-02 22:00:00 \n", + " Level: 1.0666600000000002 \n", + " Type: take-profit\n", + " \n" + ] + } + ], + "source": [ + "print(\"Hit \", barrier_builder.multi_barrier_hit.first_hit)" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "748930bb-3561-4b7d-8d9a-755d3bd76662", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + " Open datetime: 2023-01-02 21:10:00\n", + " Open price: 1.06766\n", + " Stop loss: 1.06816\n", + " Take profit : 1.0666600000000002\n", + " Trade side: TradeSide.SELL\n", + " Time limit: 2023-01-02 22:00:00\n", + " Pip position: 4 \n", + " \n" + ] + } + ], + "source": [ + "print(barrier_builder.multi_barrier_box)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "d97e723a-241a-42f0-a2a4-0ff448d35778", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.6" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/test-triple-barrier-plotting.ipynb b/docs/test-triple-barrier-plotting.ipynb index 78261e6..d83c581 100644 --- a/docs/test-triple-barrier-plotting.ipynb +++ b/docs/test-triple-barrier-plotting.ipynb @@ -133,7 +133,7 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "id": "9d335f00-f490-4297-a13f-99af35b7e0c7", "metadata": {}, "outputs": [ @@ -146,7 +146,7 @@ }, { "data": { - "image/png": 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q6nby6wt0lkw/zzeWu7q6usV8j8cjj8ezx/rjx4/X0qVLW93W5s2bFYlENGbMGEnSmWeeqddeey0RDn2fhQsX6uWXX2574TtRUuGQ3+/P2AqQbizLUm1trSTRiRdsg3oPu6HOw46o95mvttaMD2vl93deLxSN++lsyR5HJF5/O1ttba0Cfv5GkHky/TzfGAr179+/xfwZM2aovLw8qW1t3rxZ/fr1S0z369dP77zzTmL66quv1g033KDjjjtOM2fObNFp+fLly+XxeDR8+PDEvDVr1uiggw5Sz549NWfOHB188MFJlWdfJBUO+Xw+FRQUdFZZbKUxZPP5fBn5BwW0B/UedkOdhx1R7zNfXl5YUkB5eXny+dydvp/OluxxBPMsVXVecRLy8vLk8fm6YE9Ax8r083xjmTds2NAi32it1dC+mDVrlvr06aNgMKhzzjlHjzzyiKZPn55YvmDBAp1xxhmJ6b59+2rdunUqKirSP//5T5122mn68ssvW1x21pmS2othGBn55qerxteT1xR2Qr2H3VDnYUfU+7bZviOqBa/W6fSTctWrKH1ugd34thlG57YK6KrqkfRxdFW17eTXF+hMmXyebyxzQUHBPjd+KS0t1aZNmxLTmzZtUmlpqaRY2CNJXq9X06ZN08KFC1s8d8GCBfrb3/6WmG5+Wdthhx2m4uJibdy4UQMHDtynMrYVHVIDAAAAKbB9R1QPzavVUUd4Oz0cWr8xorr6tl3G9fX6SIthW+XmODSgrO1fL3JzuubGyV21HwD2U1paKqfTqZUrV2rkyJGaP3++Hn/8cUnSli1b1LdvX5mmqVdffVUjR45MPO/jjz+Wz+fT4MGDE/O2b9+unj17yul06t///re2bt2aCJq6AuEQAAAA0I2t3xjRcWdXJP28a2+rSvo5i54taXNANKDMpUXPliQVWl17W5Xm3FCoAwa0bR/JBlYAsLsJEyZoxYoVqqurU1lZmRYuXKhbb71Vc+fOVWlpqR544AFNnjxZgUBAU6dOTXRGPWXKFFVWVso0TR166KG67LLLEttcsGCBTj/99Bb7effdd3XTTTfJ7XbL5XLp6aefVlZWVpcdJ2dKAAAAoBtra/iSin21J7g5YIBLIw7sui9MAOxt8eLFe8xbtGhRYvzQQw/V559/vsc6b7/99nduc86cOXvMO/XUU3Xqqae2s5T7jjaWAAAAAAAANkY4BAAAACDt9Spy6pJz8tKq824A6C64rAwAAABA2utV5NT08/btzkIAgNbRcggAAAAAAMDGCIcAAAAAAABsjHAIAAAAAADAxgiHAAAAAAAAbIxwCAAAAAAAwMYIhwAAQEsvviiNGycZRqpLAgAAgC7ArewBAEBLZ5wh9e4tHXVUqksCAACALkDLIQAAAAAAABsjHAIAwM6ef1760Y9irYQOO0y67rpUlwgAAABdjMvKAACwq82bpWnTpH//WzrgAGn7dmnYMGnWrFSXDAAAAF2IlkMAANjVtm1SNCqtWxeb7tVLWrQopUUCAABA16PlEAAAdjVunDR1qjRhgjR+vHTmmdKUKakuFZDR1m+MqK7ebNO6X6+PtBi2VW6OQwPK+BgPAOg4/FcBAMCuDEN65hnp2mulp5+WbrhB+v3vpQ8/THXJgIy0fmNEx51dkfTzrr2tKunnLHq2hIAIANBhuKwMAAC72rRJ+uc/pZEjY6HQ55/H+iF6661UlwzISG1tMZRp+wIAdH/83JBC3tmzJY8n9stta8rLWx9nXdbN1HUtS95gcM96n67lZV3W3dd1LUu68sq9Pz+VvvxSuvFGackSye2WTDNW5iFDpJ07U106AB0kN6frfg/uyn0BADoO4VCKlJdL0fcm6Naf/iPVRQEAdJLypeMVDHrT9+Zfw4bFgqDDDpPy8qS6OunBB6Uvvmi6Y9n48dJTT0n775/SogJovwFlLi16tiSpvpCuva1Kc24o1AED2v51gb6QACBzGZZlWd+3UnV1tXw+n/x+vwoKCrqiXN3ejBmWgsGgZs3yyPiulkNAN2NZlvx+v3w+H/UetsC5HnZk53P9v/4d0mm/ruySfS18rFgjDszqlG03Hkdn7iOdBdbs0sbzlnT6fsqeOkreoT06fT9AR8v08zz5Ruto9wkAAAAAAGBjhEMAAAAAAAA2RjgEAAAAAABgY4RDAAAAAAAANkY4BAAAAAAAYGPcazJFysslvz8gyZPqogAAOgnnegCZqFeRU5eck6deRc5UFwX7IFLZIP/L38h38v5yFWenujgA0hwthwAAAAAk9Cpyavp5BYRDGS6yI6BdT65WZEcg1UUBkAEIhwAAAAAAAGyMcChFysul2bO9qS4GAKATca4HAABAJiAcAgAAAAAAsDHCIQAAAAAAABsjHAIAAAAAALAxwiEAAAAAAAAbIxwCAAAAAACwMcIhAAAAAAAAGyMcAgAAAAAAsDFXqgtgV+Xlkt8fkORJdVEAAJ2Ecz0AAAAyAS2HAAAAAAAAbIxwCAAAAAAAwMYIh1KkvFyaPdub6mIAADoR53oAAABkAsIhAAAAAAAAGyMcAgAAAAAAsDHCIQAAAAAAABsjHAIAAAAAALAxwiEAAAAAAAAbIxwCAAAAAACwMcIhAAAAAAAAG3OlugB2VV4u+f0BSZ5UFwUA0Ek41wMAOlJoQ63M+nDb1l1X02LYFo4ct7L657WrbAAyG+EQAAAAAKS50IZafXvGm0k/r+Lmj5Jaf78Xj+nUgChS2SD/y9/Id/L+chVnd9p+ACSHy8oAAAAAIM21tcVQuu8nsiOgXU+uVmRHoFP3AyA5hEMpUl4uzZ7tTXUxAACdiHM9AGQeR467W+0HANqCy8oAAAAAIC6rf572e/GYpPr2qbj5I5XMOFhZA/Pb9Jz29O2TrqFVMv0gSfSFBKQrwiEAAAAAaCapIMKKP2dAvrxDe3ROgZR8aBWtCqp26WbljS+Vs7BtN0ZINoRpbz9IUvr1hQTYHeEQANujY0QAAJAJkg1Hcg/p00kliemqfpC6el9AcxMnTtTSpUv105/+VH/84x/3WL5s2TKdd955CgaDmjZtmm666SZJ0rnnnqt3331XBQUFkqSXXnpJgwYN0pVXXqklS5ZIkvx+v3w+n5YvXy5JuuWWW/TMM8/I4/Hoqaee0n/8x390zUGKPocAgI4RAQAAALTq8ssv1zPPPPOdy6dPn64XXnhBa9as0aJFi7Rq1arEsvvuu0/Lly/X8uXLNWjQIEnS3XffnZg3ZcoUnXzyyZKkVatWadGiRVq9erXmz5+v6dOnd+px7S6plkOWZcmyrM4qi+3wesJuGut82tV7q2mYdmVDxkvLOg90orQ913eBrjxki/9ZaaPxfbBlve/Kw+2AOm9ZloIRUw2hqBrCUQXCUQXCpgLh2HQkailqWYqYlkwzNh6Nz4uauz12n9faus3mmWZ8u5aV2E/jemZ8n0bToUqSDEmFOW79ftLYfTrujpbp5/nGcldXV7eY7/F45PHseQnm+PHjtXTp0la3tXnzZkUiEY0ZM0aSdOaZZ+q1117T6NGj21SWhQsX6uWXX5Yk/eUvf9HkyZPlcrk0evRohcNhbd68WaWlpW08sn2TVDjk9/sztgKkm0DAo1AoJL8/IMMwvv8JQBLMnUE1LNqk7OP6ydGzbdeYdwXLslRbWytJaVXvI/Ey1dbWKuBPn3Ih83Guhx2l67m+K9TWml24r1r5/VwEkA7CzT5HBG32njR+htpXUUkBpxR0SEGnFHQYCjikkFMKOGLTrn9tUGjrNgXCpoKRWKATiJixRzzgCUViQYskGUZTYNs4bhiSx+WQx+WU1+1Qttshj8shr9spj8shl8OQy2HI4ZAcRnzcMOR0GHIaksdhyOmKTTdf7mh8nqH4uvHnOBrXbZr/Xes6jO8+Z/r9/g55nTtKpp/nG0Oh/v37t5g/Y8YMlZeXJ7WtzZs3q1+/fonpfv366Z133klMX3311brhhht03HHHaebMmXI6nYlly5cvl8fj0fDhwxPbGj9+fIttpW045PP5EtfLYd9443c29vk8GfkHhfQW3Fqlnc+vU9GE/eXx+VJdnITGcNnn86VVvQ/mWaqSlJeXl1avFzIf53rYUbqe67tCXl5YUtdcopyXlyefj1uhp4NAnim/Yu+Jt4s/R4SjpvwNYfnrw6pqCKuqPqSq+LS/IaxAxJRpWbJMS6YlmVZsaFlWYty0LFnNlpnm7staPrf5n7VZG1ZgZHLd2DZvFdM47rKkLFPyRCWvaSkrKnlNyWNKnqgljymVZmerd698ZWc5le2OhTted+N4bOhxOeRw2Ou8kwqZfp5vLPOGDRta5ButtRraF7NmzVKfPn0UDAZ1zjnn6JFHHmlxqdiCBQt0xhlndOg+90VSf8mGYWTkm5+Oysst+f1BGYaX1xQdz2gaplv9ajyPpFW50vj1QmbjXA+7SstzfRfoysM1+J+VNhrfh32p84FwVFX1YVU1hGLD+rD8jeMNsenqhrCCkWiL5zkdhnzZbhXmZMWHbhVmZ6lv32z5st3yup1yGLFWMA7DkGFIjngrlcR0fFljy5XGZU5H68tblHvNLm18bkn7XrgklR1Q3Kl3g0NyMvk831jmgoKCfW78Ulpaqk2bNiWmN23alGjp07dvX0mS1+vVtGnTtHDhwhbPXbBggf72t7+1aVtdgbuVAQAAAEA7OYu8yj5roBw9PaoJNAY74RZhj7+xVU983Nytqw6P26nCZuGOLycW+AwsylVhTpYKc9yJsAdA+igtLZXT6dTKlSs1cuRIzZ8/X48//rgkacuWLerbt69M09Srr76qkSNHJp738ccfy+fzafDgwYl5J5xwgn79619r+vTp+uKLL+R2uwmHAAAAACBVwlEz3oInpJ11Ie1qHI8HPLvqYpdvWZYlS1LEG5br9c+V73G1bMWT41a/wmyNKC2Ihz9ZKvC65HLaq28iIJNNmDBBK1asUF1dncrKyrRw4ULdeuutmjt3rkpLS/XAAw9o8uTJCgQCmjp1aqIz6ilTpqiyslKmaerQQw/VZZddltjmggULdPrpp7fYz5gxY3Tsscdq6NCh8nq9euKJJ7r0OAmHUqS8XAoGvZo1K9UlAZCuIpUN8r/8jXwn7y9XcXaqi4N24FwPAKkXCEe1Kx7yVNWHtas+FvbsqgtpVzzsqQmEJTV1YOxyGirMzlKP3Cz1yHGrR06WivI8GlySp8KcLPXMjQVATochy7Lk9/sztv8VpDc+D6be4sWL95i3aNGixPihhx6qzz//fI913n777e/c5pw5c1qdX15ennSn2B2FcAgA0lRkR0C7nlyt3P/sy4cBAACkxGVbO5sFO7HQJx741IfUEIq2uFOV1+1UYY5bPXOzVJgTC3vKemRrdD9fLPjJzVK+x0Wwg7TE50F0FcIhAAAAdJhIZUB1L36t3DOGy92LLzJov111Ia3c5NfKDVX6fHO1gpGo8r2xkKdHTpZ65MYu0zqwd74K4yFPz5wsZWfRLw8AJItwCMA+Wb8xorp6s03rWpZUW2sqLy/c5ju65OY4NKAsuVNVpLJBkR1tv5VwaF1Ni2FbuIq8/HoDAK2I7gio4fl1ik7Yn3AIbVYXjOizTX6t3OjXyk1+1QbCKszJ0uh+Ph0+uEgX/ucBhD4A0IkIhwC02/qNER13dkU7ntn24EaSFj1bklRA5H/5G+16cnWyhVLFzR+1ed0e5w9T0YUjkt4HAAB2F4qYWr21Wis2xloFVdYGlZ3l1MhSn8aWFer0H/WXL9ud6mICQEaIRCK699579dVXX+nhhx/W2rVrtX79eh199NFJbYdwCEC7tbXFUFfvx3fy/sr9z75tXj+0rkYVN3+kkhkHK2tgfpue4yryJlUmAADsKGpaWru9Vis2VGnlRr827KqX2+nQ8D75GlNWqJ8fO1Ql+fxPBYD2+s1vfqNoNKr33ntPklRUVKQzzjhDH33U9h++JcIh7Ibe8NEduIqz21V/swbmyzu0RyeUCACA7s+yLG3Y2aAVG6u0cmOV1m6vkyQNLsnTmDKffn3kASrrkd19On6ORqRoSIoEZdRVSkadZEUlMyKZjcNI03Q03HK6xfLWHsluIyqZuy2XJMMhOZyS4Ww2dMSHrt2WJbeusyKo/NJ/S3LIshxS/GE1H7a2TJIMU4YsybAkWTIMMzEuw5IhU4rPM2TJsb5GCuZIlvk9D6vZePR7ljc96uuj+uKriIYd6FVuTvw4DUf8NYkPW8xrNr7HvMah0cq8xvWMpnkttuVssU/DH0xN/UbG+OCDD7R8+XIddNBBkqTCwkKFw+Gkt0M4hBboDT85hGkAgO4utKFWZn3bP2SG1tc0DduYAThy3Mrqn9ee4iGFKmoCWrnBr5Ubq/TF1hpFoqbKeuRoTJlPpx3cX4N65cnp6MAgyIxKAX8ikGkaBqVIqNkw1Mq84G7PCbcyL9R0izM1DvdSfodTcrolZ5a8UUvy5samG0MUh2svj2bLG5/j8kiO3N3Wcbf+HIdLcu5tu+7YeOPrZkV3G5pNAVKLec2mzUh83Gzl+bH5VnWVzMimeNATC3MMRyQe9MTnOZoti8+XDMkyZFlGfNwhKT7dfFyO2HqK337OMGLH1mogEw9jdg9sWjyc37nO5vUR3fzITt39Y58G7edoCo7M3YKmxtcqETxZe84zmy2LBFvMi+yslxUMx0OqZuGVGp9vJbZlyJRV7ZQ0Jqm+MTmn2ovX27L1ZTQalWkmf4UH4VCKlJdLfn9AkifVRcE+IExDMpL+gtWOjrL5MJBeONcj04U21OrbM95s13OT6cdNkvZ78RjOX2nM3xDWqo1+rdhYpc83+9UQiqo4z6Mx/Qs1YURvTT96sDyudnYYbVmx0KdmS+xRvaVpvGZrPKSwYiGA1yc5s2JBSmLokVxZsaHT3TTP7Y2t37is8Tl7PL/Z0NGOY7AsNfj9yvL51OY7bnSl9hxTG5nWLtVVdM1XysKBR0lJtPBO5qYpkvR1VURr63vqC3+hgtVtO6Zkb5wS2lCrby/lnIqONWbMGD377LMyTVNfffWV5syZo/Hjxye9HcIhZITtO6Ja8GqdTj8pV72KuFMFMg9fsDoX5wigcyQTaKf7vmjt23b+hrC+qqjRiniroKqGsPK9bo3p59PBA3ro3MMHKtfTxq8R4YBUu3W3wCceAAXjP34YRizEye8j5ZfGhvsfGRvm9YmFO0AS2n/TFOna26qSWj+ZG6d0p3Mq0sddd92l//7v/9bWrVt1xBFH6OSTT9bs2bOT3g7hEDLC9h1RPTSvVkcd4eWLHzISHwY6F+cIdAfJ/srdHsn+yt2d0Nq3pUA4qvU76vVNZa2+rqzTN9vrVFkblGEYKvC6NLgkT6PLCjXxoH7qkdtKOGOaUt32PQOfmi1SXaUSl2U5s6T8vrGgp6BU6j1SGvyz2LS3oEuPGfbRVTdN6ep9Aa3Jy8vTo48+qkcffXSftmPPTwdpoLxcCga9mjUr1SUBYHfJXu7WHna93C0TzvWRSEQ33nijXnvtNWVnZysvL0/33HOPvF6v/uu//kvvvPOO7rjjDi1evFjbtm2TZVmaO3eufvjDHya28cwzz+iee+5RXl6eotGorr76ak2cOFGSdMIJJ+i9997Tr3/9a9XU1GjlypWqqanR008/rR/84AepOuy0sy+/cicrmV+5kdkiUVObqhoS4c83lXXa4m+QZUket0MDinK1f1GufjSwp04/uL+KcrNiPewE/FLtNqnmc+nL3S7xioZiGzccUk5RLPBpbPFT+oPYdE5xrDNdAECnmzFjhi677DIVFRVJkiorK/Xggw9qxowZSW2HTwYpUt9gacXnUW3fEVVJMW8DgNTYl8vdkmXHy90ywU033aQ333xTH3zwgfLy8vTYY4/pZz/7mb788kstXbpUhmHoj3/8o95++21lZ2fr5ptv1i9/+UutXbtWHo9Hb7zxhq666iotX75cZWVlWrt2rcaOHau///3vOuyww/Taa69p/PjxWrhwoT744AP17t1bV111la688kq98847qT78tMGv3Ggvy7JUURPU1/HwZ92OOq3fUadI1JJhGCrrka0DeuXqwGK3ftHfrd5Ggxz1FbHwp7ZC2rZNWlsRv7NVvLWP1yfllTRd4jXg8KbWPy76UAOAdPLKK6/o5ptvTkwXFxfrlVdeIRzKFHX1lj793NT2HaZKilNdGsCeoqalQDiqqoaQdrolT31InppAp+wrbFna6U7+eU5LcjU+TKktF0w5ctq+Iy53s7eGhgbdfffdeuCBB5SXFwvuLrjgAl1//fV6/PHHdfXVV0uSLrzwQmVnxy7DueKKK3TzzTfrpZde0llnnaXf/e53OvPMM1VWViZJGjRokI466ig99NBDOuywwxL7Ovroo9W7d29J0vjx4/XEE0905aECGc9yRmR6g7KygzK9Qc1eslnu96PKM6u1v7dWQ3LrNSarRsc4q1VYvFOuuu1SqFaqNaRaSd+6pbze8Uc8+Ok7rmna2Y5/UgCAlGvtzmShUCjp7RAO2UAyl4y05+5Ikn0vGUHnsWRJhiU5TVXUNiirIqiGkKmGcFT1oYgC4Wh8PKqGUFSBxvFws/FQVKZlJe5KaxhqMW4YhrLdTrnrI2oY6FLupxvk+mZbpx1T9IKBsiJt/8U+WhNS3aeVco0tUjTbqYhpKZq4xW7rDKdDjre/SEw3Ha+hLJcht9Mhl8OhLJchl8MhR3VIDfs7E+FTYxDlNiWnZckdewtiw/h8l2XJY0qeqGJD05I3KmWZkjfatgAL6eGrr75SIBDQ4MGDE/OcTqcGDhyoVatWJeYNGDAgMe7z+VRUVKQvvojVs88++0wbN25scVeMyspKDRs2rMW+SktLE+P5+fmqrq7u6MMBMp5lmLK8QXlzd6ln7hYV52xVcValejl2qZf86qVqFRnVMqIO/UBeFXpdUk7PZqFPbylvTFPg48lP9SEBADrZ0KFDdfvtt+u///u/ZVmW7rzzzj0+h7UF4VA3195LRpK9O5LEJSNoyZIlKysce7jjw6yQLFdUcpiyHJbkMBtXlgy1HLckWQ4ZUYcWrtylsq1Z8rqdys5yKifLKa87NuxT4FZ2fH52lrNp3B17uJzf3+dBYM0ubXxig8quHyRvErdI7WyBNbu08cUlKrtuxD6XK2paCkdNRUxL4YipsGkqHLVU92WVNsxbr6hDChtS1JDCDiliSBHDUCQxLoWcUo1LCjsMBR2GQg4p4JCCTinoMOJDyTQSFyYk3kpJyl78hRz/dMvtdCg7yymv2xF7T93OpmGWU16XI/Eeepsvc7ec73E5ZKTjLYNt6Oyzz27RnLk1TmdTbMj7BrvyOOtUkrdJvXM2qSRnq0q8W9TbU6Fid6WyjLBkGTJMh+rDudoRKFFlfYkqd/bWptBgrQgVqzJUrKpwoUw5tXB6sQoP5C5eAGB39957r84++2zdeOONMgxDRx55pJ555pmkt0M41IGSucvILn/sg/HX30aUzGfkZO8ywiUj6GiWZak6ENG26oA+2VSrcK8dzcKfcKy1jxT7gBt2ywjFHwGPnNV5UsQpw3RIpiO2jr7/D2D6b4s1gg/A+8TpMOR0xL+cN+suIlAQkKPhu1oj7b2VUrLKrh4uz4GFCkctBSJRBRItvWItwhpC0RbzqxsiiZZggWbLG0KmAuGogpFoYts1taYCQ0O6+e8blP9PR6LFlNNhyBMPkrxuhzyu2LjH5YxPO5otb1rmcTvkjQ9brh9bx+HoHuHG4MGD5fV69dVXX+knP/mJJCkajWrdunU688wzE+t9++23ifGqqirt2LFDw4cPlySNGjVKa9asabHdJUuWaPXq1br44ou74CiANGBZCtTskH/Dlzq8bLVKsreot3er+mRtUw/XLhnx/41B06Ot4RJVBHtrW6CvPqk8RBX1pdpR11dh05vigwAAZKLS0lK9/fbbqqurkyTl5ua2azuEQx0k2buMVKzLV13V73T+r777WsCSgf/dbP07E+NTTslVYUHL1hDl5eWtjkcqG1S9YV2LdS/rf0Zi/L4NL+61nMmse7uOarUMrSkvL0+EaQ/ef+te151+6f/o6/URSdLMW29Wj8Lvbgky/dL/SYw/eP+tcruNPV6r1srYfDzqD8kKR1use+Olv02Mz7x/dtO6VSHVbdis3Fv/IWdh1l7XbWS4nXL6svZahmTK25rfTr68Xdu9acbNqpdb9ZZb9VZWs2GWQnJq6IEHSpLyvS59tepjmfVBVW+pkdUQjD9CieuYvqv+tub71n3w/pzE7ck74zWLVDboXB3S4dvd13Ub/34L7v+/PW673FFl2P0c0Vnnh8Z1DcPQ72buvYXJ3srrkpQffzRf/q9/h/ST31+n4qycFreyNy0pKoeicmj6Vf+tYNhUMGLq/oceUVSGopZDETli43IoasXWPWrCMQpGogpGTC39x/vNlsXWa27o0KGJ8dVr/h07TlkyJFVujarYdaB++7xXnjy3XA6H3C5Dbocjdomf01BWfOh2OuSOD11Oh7KcRnx9h9wOQ26XQy5HbHlWs/HG58WeE9uWy2G0qXVOdna2rrzySj300EM688wzlZubq6eeekoOh0O/+tWvEuv94Q9/0OTJk5Wdna17771XpaWlOvXUUyVJN9xwg04++WStWLFCY8eOVV1dna6//nr97ne/+979AxnBjKph1xbt3LJONRXr1bBzo0z/Jjlqt8oR9Mf/7RkKuPJV4+ytfnlF2hboq9X+kdpWV6Zd9SWSxQW3AICO9eWXX2rIkCFauXJlq8vHjBmT1PYIh5ASzcO0inX1e1136arKxPjf/7H3zoKbr9u43dbCtO8S9Yfk/+PaPeZv/GRJYnz3sE2S6t7Z3OZ1Jck3aVAiIGqr5n1HRSob9r5us76jIpUNsiSF5FKDI0v1hkcNRmxY78jShQ/9UxHLkuE0tDY8SNlGWDlGSDkKyWcE1NdRrRwjrCxFdfO5UxL7KF/9irZHovpw497fPyCVHIbkkCm3TPX1NQVsxY66vT7v4vGDEuMNH8xvsWz3APnGQ49PjM/88I+JcVPS0k+dGl7zQ/36hGwZ/XIVNuOX9jU+oqYilqVw0FLEjCaWh1wOBQuzFI5aipimQpHYZYCRqKlw1Iw9NxJfN2rG58e2F46aippNrb7265mjm04c+Z3Hesstt8g0TR1yyCHKzs5Wbm6u3nzzTfl8vsQ6Z5xxhs444wxt3LhRlmXp5ZdflscTa4J2zDHH6LHHHtPUqVOVl5cnh8Oh3/zmNzrqqNgPBmeeeaaWL1+udevWqaCgQD/84Q91xRVXSFLiLma9evXa6/sBdJpIUPU7NmrnlnWq3b5ewZ0bZfk3y1m3RdFwULIkS4bqsnoqmttHhq+fvEUHKG/IePXsO1DFPYvlcjUFP//6d0gLX67cyw4BAOgYV155pV577TX98pe/3GOZYRj6+uuvk9qeYVnf07uppOrqavl8Pvn9fhUUFCS1AztJ5rKytesj+u1tVZp9Q6EGDWh7RpfsZWWBNbu08bwl379iByh76qg294vyr3+HdNqvu+bD08LH2n5JUlfd1jvZ/pn2Vq4Gh7Qjy9BOT2wYe0g7PIbqnE1d+eRFpKKgpeKQpeKgVByyVBSy1DMU64C4PeXqqvcxmfewPRr/TpKpw12hK8qVrueIZDXWxc6uK111jpDSpx83wzC0ZMmSFh1Od5Wn3v9GO2pDcjpiraGczlirK6fDkMtpNM13xFpPNZ+ODWPTLqej2TIj0bqqcb2mbbVcz+10yGE09ZFkWZaipqVI/BGNh3eN8xr79mo+HRuaikSbPS8+3Xy99ZvDevDp6thJ27ASD8uw9pynZvMkyYp19GXISIzLMiQ1jRuWkVj311PyVdbHFb/ctOnhchhyGC3nRTfVaeecT+W0JEe8Y/oWQ0kOy5Kz2bzGn2MsNfVBFjVaTluGITNezMZhr5t/JPeAfJmWJdNS/IYCsfGoaSVuMLDHclMyzaiMcL2c4Vo5Q7VyhGti4+E6OcM1coXrpJ2VCv/rK2WXBhWVKUtSxHCrJquXrPy+cvj6KbtnmfJ7D1RRn/1U3KNQziQvIU3XzzfoXJZlye/3y+fz2a5PtXT9HJGuf4vp+nolK9PrfHfKNyzL0pYtW1rc+KO9aDnUgZIJbRojuQP2c/GPPY1k9c/Tfi8ek9Td3Spu/kglMw5W1sC23RGkrXd2qwvG+vWpqAlq45od+qqfs9XQxxuVeoYsFYWkopClQXWmfrQzNp4bVRt69GlCv1HpxVXkVY/zh8lVRD8U6YJ+3LrWT4eVqC4UbXPoEo6aaghZbQtrTKtZQBNfJ9o8/Ilt29ztN7TGEGn3cGr3MKr5tNP5/SFWttspI+JuGeY0D3qaz1PTPElNwVF8vEWgpJbjliEV53rUM9cp02p6XUIRUw3x8ahlyYy/DsGd9dqR75AZ77DeVHxoNA1j8wxFm81r3KVD8cDIil1u6YgXp3HarbCyHQF5HQ0qXvNP5WyOKNusl8esV1a0Tp74Izsam86K1MlhNfXXaBjxUMwwFHHlKOrKU8Sdq6g7TxF3vqLuXEW9BQrnlyrkHKGGtSPUe9rPVXZQabfpOwwAYG/HHHOMPvvss33eDuEQsJv2/FKfNTC/zcl8bTCiDdtrVVEdVEVNQBXVwUQIVBuMJMKcHI9LJfke9S7wqIclDa419R/xACgnydAHmclVnK2iC0ekuhgpk0xrzMZ+yRqHbZVsa0w7WbNmjf7rv/5LknTFFVdoxowZmjhxYpeWYb+i9nWomIn+9e+Q7t3VNf3S/Ef/JH/l3rhGkinDGZTDGZbhCMXHQzKcITni083HHa6AHK4GOZyB2LgzKKnlnQwlyTTdMiNeWdFs5eUPk6s0fvt1T6mUlR8fb/bIypNcsbI3v9y6LUKRGlXs/EiFlVGFvqxq03Pa+oMOAACpYBiGysrKVFlZqeLi4n3aFp+IU+TB+52qWNe2liZIf5ZlqSYQ1rZmgU9FTSA+HVR9sOkLa24i9PGqpMCjUf18Onp4iXoXeJXnaf1PMrBmlzb6O/bOUWhCC530k2wn/42uva0q6ecserak0wKi+zbE7uh1Wf8vOmX7nWno0KFaunRpqouB72XJ4wjK62hQtjMgryMgr7Mh1hrH2SCvIxCf3yCvM6BsR4N6rXRI64JSuCH+qJfCrffp564Lq++4SlmWQ5aZJTOaJSv+ME1PbBjNii/zKBLOlWW6ZUaymx5Rr6xolr7vZw3vb4+Sq40/tOzLJZ4VN3+U1PrpcoknAACtycvL07hx43TccccpL6/p/9Vdd92V1HYIh7o5R447LfeVm9O2DqI7wr7sKxCOqrI2qMrakLbXBGPjNUFtr42N11cFFRjpkvet1fIVZSdCn175Ho0pK1RJvkclewl9kB7s3EInXc8RQLdlRqVQrRSsbTHM21ilE3pvUa6zTjnOeuU662Ljrth0tiMgQ00/ElgyZMiSJUMB06NANFsB06uG+DAQ9arBzFYg6lXAzNaucA8Fgl4Fotk6uayPeg32Se5syZ0TG7q8Uiv9RoTX7NKWp7qmf4zuIFM+3wAdhc8RQGp99tlnWrNmjY466ij169dvn7bFN9Zuriv60JGSb3Y9oMylRc+WJHXJyLW3VWnODYU6YB878A5GotrRPOypDcbHY/MCze5C5HE7VJznUXGeR73yY8NhffIT4/q6WhufW6Kyq4enVUfGQFtxjuCyMnwHy5LMiBQJStFQrHVNsFYK1UmhmqZwp5WgR6HaeEuc5i0+jdi04ZSyciVPXuwSqaw8yZMnV8CriOnSlnBf1UVzVRfNVX00V/XRHNVFctVgZqujLigO9CyWijO7v8Nkz11S5/YT2IhzF+wmXf8WCWphBw899JCuv/56DR06VH/5y1/05JNP6pRTTmn39vivYgOd3YdOe7XnQ80BA1rvwDsUMbWjLqjKmlAi7NneGPq8G1RDqCnwcTsdKs7PUq88r4rzs1Sc59GQ3vnqFQ+BsrPa3udDhMuRsDeWJVlmrKWAFY190TSjrUxH4utFdltmxntbdUgOZ+xLpcMZm24+b4/lRrPx5ssdrbYMSLtzhGVJlqUBfRXvjNf83oerPqg+nkoNLarVkJ4OyQzHXsNoOP4af8f0rrC0Yy/Lo5H4exGbdlXWqnjoehmOqGREZcQfMsymec0O5VdDY69t3+zath27YcmK32XK/Y/50nJP0/vW+L4bDknNp2Od8ZpBS2bQbLlchtSzv1zH/ndHvkNdJvT557JqqiQzJEVDMuJDmaHEPIcrKleBEQ9xglIkFBtGw63PS3QwvXvvN61wOCVnluTyxFrY7BboKCtP8u3XNN58uTu71b+371L175D+tj39boGezq0C2nupV2d/xunIzzdAJkjHv8Vkg1qpfWFtskFtOp9TkXkeeughrVy5Uvvtt59WrVqliy++mHAI3VNDKHZJ1866kJZvqFO4104tWFEjx5rY/Lpm/fi4nEaihU9xvke98jwaVJKbCIBysjqnqnfV5UhddXJPdj8d9UuJQ1G5HBG5jbBcRlhuR1huIyK3IyyXEVFhQ4W0yYx/cQ/HvhxGI/EvieHY/Gh8vhmf3zgvsf7u082fH/nuL3G73amoxXq7L2tNYzDjcEoOVzy0cUkOR7PxxmWOpunGcMey4mFRPDRKhE3Nhi2WW80CpubL40HKPmrsf8T97nPSx51YL1sLRHZ/OJrGi/3Sr/YLqOfqfGm7J/Y6Ot3x19O192mnO/ZFvg3rm9uCqnr8A1mWQ7KcsiynZDlkmU3jTTfylh5vV59DsbtK7XftBDn75cTfN6tZGLbbeHxZ1XOr5Z//pSRLRuIuVZacJbnqd1REjgy7vNUKhVT/xIMyK/2yTLcs0xV/uGOvt+mWZcWme/32ELn7+SSnJ9ZZsdMTe/9cnt3mZcXqDdosXVsFAMhcXdXXY3tb13VmWMs5FR3J7XZrv/32kySNHj1adXV1+7S9zPqkiIzWEIpqR11QO2pD2lkX0o66kHbEw58ddSFV1Yc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", 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" ] @@ -158,16 +158,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "Open time 2023-01-04 00:30:00\n", - "Open price 1.05681\n", - "Stop loss 1.05731 (5) pips\n", - "Take profit 1.05581 (10) pips\n" + "Open time 2023-01-02 20:20:00\n", + "Open price 1.06522\n", + "Stop loss 1.06572 (5) pips\n", + "Take profit 1.06422 (10) pips\n" ] } ], "source": [ - "open_period = \"2023-01-04 00:30:00\"\n", - "time_barrier = \"2023-01-04 01:20:00\"\n", + "open_period = \"2023-01-02 20:20:00\"\n", + "time_barrier = \"2023-01-02 21:10:00\"\n", "trade_side = TradeSide.SELL\n", "stop_loss_width = 5\n", "take_profit_width = 10\n", diff --git a/tests/test_utils/__init__.py b/tests/test_utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/test_utils/dummy_strategy.py b/tests/test_utils/dummy_strategy.py new file mode 100644 index 0000000..4719d34 --- /dev/null +++ b/tests/test_utils/dummy_strategy.py @@ -0,0 +1,81 @@ +import pandas as pd + +from triple_barrier import constants + + +def calculate_test_features_long() -> pd.DataFrame: + file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" + + columns = ["date-time", "open", "high", "low", "close", "volume"] + price = pd.read_csv(file_name, + names=columns, + parse_dates=True, + index_col="date-time", + header=0) + calculate_long_signal(price, "entry") + calculate_short_signal(price, "exit") + + return price + + +def calculate_test_features_short() -> pd.DataFrame: + file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" + + columns = ["date-time", "open", "high", "low", "close", "volume"] + price = pd.read_csv(file_name, + names=columns, + parse_dates=True, + index_col="date-time", + header=0) + + calculate_short_signal(price, "entry") + calculate_long_signal(price, "exit") + + return price + + +def calculate_long_signal(price: pd.DataFrame, output_col_name: str): + """ + + fast_mva_i-1 below slow_mva_i-1 + fast_mva_i above slow_mva_i ^ : fast mva crossing above slow mva + close_price_i > open_price_i : last closed bar long + + + :param price: + :param output_col_name: + :return: + """ + calculate_features(price) + mask_signal = (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ + (price["mva-12"] > price["mva-24"]) & \ + (price["close"] > price["open"]) + price.loc[mask_signal, "entry-signal"] = 1 + price[output_col_name] = price["entry-signal"].shift(1) + + return price + + +def calculate_short_signal(price: pd.DataFrame, output_col_name: str): + """ + fast_mva_i-1 above slow_mva_i-1 + fast_mva_i below slow_mva_i ^ : fast mva crossing below slow mva + close_price_i < open_price_i : lost last closed bar short + + :param price: + :param output_col_name: + :return: + """ + + # calculate entry signal + calculate_features(price) + mask_signal = (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ + (price["mva-12"] < price["mva-24"]) & \ + (price["close"] < price["open"]) + price.loc[mask_signal, "exit-signal"] = 1 + price[output_col_name] = price["exit-signal"].shift(1) + + +def calculate_features(price: pd.DataFrame): + price["mva-12"] = price["close"].rolling(12).mean().round(5) + price["mva-24"] = price["close"].rolling(24).mean().round(5) diff --git a/tests/triple_barrier/integration/conftest.py b/tests/triple_barrier/integration/conftest.py index f7f26cf..54eb95a 100644 --- a/tests/triple_barrier/integration/conftest.py +++ b/tests/triple_barrier/integration/conftest.py @@ -1,9 +1,9 @@ import pytest -import logging import pandas as pd -from triple_barrier import constants +from tests.test_utils.dummy_strategy import calculate_test_features_long +from tests.test_utils.dummy_strategy import calculate_test_features_short @pytest.fixture @@ -17,7 +17,7 @@ def prepare_entry_data(prepare_price_data): def prepare_entry_data_short(prepare_price_data_short): - df = prepare_price_data + df = prepare_price_data_short entry_mark = df["entry"] == 1 df_entry = df[entry_mark].copy(deep=True) @@ -33,65 +33,3 @@ def prepare_price_data() -> pd.DataFrame: @pytest.fixture() def prepare_price_data_short() -> pd.DataFrame: return calculate_test_features_short() - - -def calculate_test_features_long() -> pd.DataFrame: - - file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" - - columns = ["date-time", "open", "high", "low", "close", "volume"] - price = pd.read_csv(file_name, - names=columns, - parse_dates=True, - index_col="date-time", - header=0) - calculate_long_signal(price, "entry") - calculate_short_signal(price, "exit") - - return price - - -def calculate_test_features_short() -> pd.DataFrame: - - file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" - - columns = ["date-time", "open", "high", "low", "close", "volume"] - price = pd.read_csv(file_name, - names=columns, - parse_dates=True, - index_col="date-time", - header=0) - - calculate_short_signal(price, "entry") - calculate_long_signal(price, "exit") - - return price - - -def calculate_long_signal(price: pd.DataFrame, output_col_name: str): - # calculate entry signal - calculate_features(price) - mask_signal = (price["mva-12"] > price["mva-24"]) & \ - (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ - (price["close"]> price["open"]) - price.loc[mask_signal, "entry-signal"] = 1 - price[output_col_name] = price["entry-signal"].shift(1) - - return price - - -def calculate_short_signal(price: pd.DataFrame, output_col_name: str): - # calculate entry signal - calculate_features(price) - mask_signal = (price["mva-12"] < price["mva-24"]) & \ - (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ - (price["close"] < price["open"]) - price.loc[mask_signal, "exit-signal"] = 1 - price[output_col_name] = price["exit-signal"].shift(1) - - -def calculate_features(price: pd.DataFrame): - price["mva-12"] = price["close"].rolling(12).mean().round(5) - price["mva-24"] = price["close"].rolling(24).mean().round(5) - - diff --git a/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py b/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py index d7f4f36..e8e0b07 100644 --- a/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py +++ b/tests/triple_barrier/integration/test_triple_barrier_apply_happy_path.py @@ -22,39 +22,6 @@ def test_base_case_long(self, prepare_price_data): """ df = prepare_price_data - def calculate_exit(row: any, - ohlc: pd.DataFrame, - stop_loss_width: float, - take_profit_width: float, - trade_side: TradeSide, - pip_decimal_position: int, - time_barrier_periods: int): - - box_setup = MultiBarrierParameters() - - box_setup.open_time = str(row.name) - box_setup.open_price = df.loc[box_setup.open_time]["open"] - box_setup.take_profit_width = take_profit_width - box_setup.stop_loss_width = stop_loss_width - box_setup.time_limit = df[box_setup.open_time:].index[time_barrier_periods] - box_setup.trade_side = trade_side - box_setup.pip_decimal_position = pip_decimal_position - - barrier_builder = MultiBarrier(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - dynamic_exit=ohlc["exit"], - box_setup=box_setup - ) - barrier_builder.compute() - - row["close-price"] = barrier_builder.multi_barrier.first_hit.level - row["close-datetime"] = barrier_builder.multi_barrier.first_hit.hit_datetime - row["close-type"] = barrier_builder.multi_barrier.first_hit.barrier_type.value - - return row - strategy_side = TradeSide.BUY entry: pd.DataFrame = df[(df.entry == 1)].copy(deep=True) @@ -67,16 +34,16 @@ def calculate_exit(row: any, TIME_LIMIT_PERIODS), axis=1) - entry["profit"] = entry["close-price"] - entry["open"] + entry["profit"] = (entry["close-price"] - entry["open"]) * 10 ** INSTRUMENT_PIP_POSITION grouped = entry.groupby("close-type")["profit"].sum() entry.to_parquet(f"{OUTPUT_FOLDER}base_case_long.parquet") assert {"close-price", "close-datetime", "close-type"}.issubset(entry.columns) - assert round(grouped["dynamic"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -15.7 - assert round(grouped["stop-loss"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -2345.0 - assert round(grouped["take-profit"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 1490.0 - assert round(grouped["time-barrier"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 682.0 + assert round(grouped["dynamic"], 1) == -15.7 + assert round(grouped["stop-loss"], 1) == -2345.0 + assert round(grouped["take-profit"], 1) == 1490.0 + assert round(grouped["time-barrier"], 1) == 682.0 def test_base_case_short(self, prepare_price_data_short): """ @@ -87,39 +54,6 @@ def test_base_case_short(self, prepare_price_data_short): """ df = prepare_price_data_short - def calculate_exit(row: any, - ohlc: pd.DataFrame, - stop_loss_width: float, - take_profit_width: float, - trade_side: TradeSide, - pip_decimal_position: int, - time_barrier_periods: int): - - box_setup = MultiBarrierParameters() - - box_setup.open_time = str(row.name) - box_setup.open_price = df.loc[box_setup.open_time]["open"] - box_setup.take_profit_width = take_profit_width - box_setup.stop_loss_width = stop_loss_width - box_setup.time_limit = df[box_setup.open_time:].index[time_barrier_periods] - box_setup.trade_side = trade_side - box_setup.pip_decimal_position = pip_decimal_position - - barrier_builder = MultiBarrier(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - dynamic_exit=ohlc["exit"], - box_setup=box_setup - ) - barrier_builder.compute() - - row["close-price"] = barrier_builder.multi_barrier.first_hit.level - row["close-datetime"] = barrier_builder.multi_barrier.first_hit.hit_datetime - row["close-type"] = barrier_builder.multi_barrier.first_hit.barrier_type.value - - return row - strategy_side = TradeSide.SELL entry: pd.DataFrame = df[(df.entry == 1)].copy(deep=True) @@ -132,13 +66,46 @@ def calculate_exit(row: any, TIME_LIMIT_PERIODS), axis=1) - entry["profit"] = (entry["open"] - entry["close-price"])*10**INSTRUMENT_PIP_POSITION + entry["profit"] = (entry["open"] - entry["close-price"]) * 10 ** INSTRUMENT_PIP_POSITION grouped = entry.groupby("close-type")["profit"].sum() entry.to_parquet(f"{OUTPUT_FOLDER}base_case_short.parquet") assert {"close-price", "close-datetime", "close-type"}.issubset(entry.columns) - assert round(grouped["dynamic"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -15.7 - assert round(grouped["stop-loss"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == -2345.0 - assert round(grouped["take-profit"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 1490.0 - assert round(grouped["time-barrier"] * (10 ** INSTRUMENT_PIP_POSITION), 1) == 682.0 \ No newline at end of file + assert round(grouped["dynamic"], 1) == -55.3 + assert round(grouped["stop-loss"], 1) == -2410.0 + assert round(grouped["take-profit"], 1) == 1710.0 + assert round(grouped["time-barrier"], 1) == 688.9 + + +def calculate_exit(row: any, + ohlc: pd.DataFrame, + stop_loss_width: float, + take_profit_width: float, + trade_side: TradeSide, + pip_decimal_position: int, + time_barrier_periods: int): + box_setup = MultiBarrierParameters() + + box_setup.open_time = str(row.name) + box_setup.open_price = ohlc.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit_width + box_setup.stop_loss_width = stop_loss_width + box_setup.time_limit = ohlc[box_setup.open_time:].index[time_barrier_periods] + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=ohlc.open, + high_price=ohlc.high, + low_price=ohlc.low, + close_price=ohlc.close, + dynamic_exit=ohlc["exit"], + box_setup=box_setup + ) + barrier_builder.compute() + + row["close-price"] = barrier_builder.multi_barrier_hit.first_hit.level + row["close-datetime"] = barrier_builder.multi_barrier_hit.first_hit.hit_datetime + row["close-type"] = barrier_builder.multi_barrier_hit.first_hit.barrier_type.value + + return row diff --git a/tests/triple_barrier/unit/conftest.py b/tests/triple_barrier/unit/conftest.py index a7254c7..14d30d9 100644 --- a/tests/triple_barrier/unit/conftest.py +++ b/tests/triple_barrier/unit/conftest.py @@ -1,9 +1,8 @@ import pytest - -import logging import pandas as pd -from triple_barrier import constants +from tests.test_utils.dummy_strategy import calculate_test_features_long +from tests.test_utils.dummy_strategy import calculate_test_features_short @pytest.fixture @@ -21,67 +20,9 @@ def prepare_price_data() -> pd.DataFrame: return calculate_test_features_long() +@pytest.fixture def prepare_price_data_short() -> pd.DataFrame: return calculate_test_features_short() -def calculate_test_features_long() -> pd.DataFrame: - - file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" - - columns = ["date-time", "open", "high", "low", "close", "volume"] - price = pd.read_csv(file_name, - names=columns, - parse_dates=True, - index_col="date-time", - header=0) - calculate_long_signal(price, "entry") - calculate_short_signal(price, "exit") - - return price - - -def calculate_test_features_short() -> pd.DataFrame: - - file_name = f"{constants.ROOT_FOLDER}/tests/data/EURUSD_5 Mins_Ask_2023.01.02_2024.02.02.csv" - - columns = ["date-time", "open", "high", "low", "close", "volume"] - price = pd.read_csv(file_name, - names=columns, - parse_dates=True, - index_col="date-time", - header=0) - - calculate_short_signal(price, "entry") - calculate_long_signal(price, "exit") - - return price - - -def calculate_long_signal(price: pd.DataFrame, output_col_name: str): - # calculate entry signal - calculate_features(price) - mask_signal = (price["mva-12"] > price["mva-24"]) & \ - (price["mva-12"].shift(1) <= price["mva-24"].shift(1)) & \ - (price["close"]> price["open"]) - price.loc[mask_signal, "entry-signal"] = 1 - price[output_col_name] = price["entry-signal"].shift(1) - - return price - - -def calculate_short_signal(price: pd.DataFrame, output_col_name: str): - # calculate entry signal - calculate_features(price) - mask_signal = (price["mva-12"] < price["mva-24"]) & \ - (price["mva-12"].shift(1) >= price["mva-24"].shift(1)) & \ - (price["close"] < price["open"]) - price.loc[mask_signal, "exit-signal"] = 1 - price[output_col_name] = price["exit-signal"].shift(1) - - -def calculate_features(price: pd.DataFrame): - price["mva-12"] = price["close"].rolling(12).mean().round(5) - price["mva-24"] = price["close"].rolling(24).mean().round(5) - diff --git a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py index f7676b4..2ee481a 100644 --- a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py +++ b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py @@ -39,9 +39,9 @@ def test_full_barrier_hit_take_profit_long_width(self, prepare_price_data): box_setup=box_setup) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TAKE_PROFIT - assert barrier_builder.multi_barrier.first_hit.level == 1.06759 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TAKE_PROFIT + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.06759 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") def test_full_barrier_stop_loss_short_width(self, prepare_price_data): """ @@ -74,9 +74,9 @@ def test_full_barrier_stop_loss_short_width(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.STOP_LOSS - assert barrier_builder.multi_barrier.first_hit.level == 1.06759 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.STOP_LOSS + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.06759 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 20:55:00") def test_full_barrier_time_barrier_short(self, prepare_price_data): """ @@ -107,9 +107,9 @@ def test_full_barrier_time_barrier_short(self, prepare_price_data): box_setup=box_setup ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TIME_BARRIER - assert barrier_builder.multi_barrier.first_hit.level == 1.0663 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 23:00:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TIME_BARRIER + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.0663 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 23:00:00") def test_full_barrier_time_barrier_hit_long(self, prepare_price_data): """ @@ -141,9 +141,9 @@ def test_full_barrier_time_barrier_hit_long(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TIME_BARRIER - assert barrier_builder.multi_barrier.first_hit.level == 1.06710 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 21:35:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TIME_BARRIER + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.06710 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 21:35:00") def test_full_barrier_dynamic_hit_long(self, prepare_price_data): """ @@ -176,9 +176,9 @@ def test_full_barrier_dynamic_hit_long(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.DYNAMIC - assert barrier_builder.multi_barrier.first_hit.level == 1.06766 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 21:05:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.DYNAMIC + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.06766 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 21:05:00") def test_full_barrier_dynamic_hit_short(self, prepare_price_data): """ @@ -213,9 +213,9 @@ def test_full_barrier_dynamic_hit_short(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.DYNAMIC - assert barrier_builder.multi_barrier.first_hit.level == 1.06766 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 21:05:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.DYNAMIC + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.06766 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 21:05:00") def test_sl_tp_levels_long_tp_level(self, prepare_price_data): """ @@ -248,9 +248,9 @@ def test_sl_tp_levels_long_tp_level(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.TAKE_PROFIT - assert barrier_builder.multi_barrier.first_hit.level == 1.0671 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-02 23:40:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TAKE_PROFIT + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.0671 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 23:40:00") def test_sl_tp_levels_long_short_sl_level(self, prepare_price_data): """ @@ -281,10 +281,42 @@ def test_sl_tp_levels_long_short_sl_level(self, prepare_price_data): ) barrier_builder.compute() - assert barrier_builder.multi_barrier.first_hit.barrier_type == BarrierType.STOP_LOSS - assert barrier_builder.multi_barrier.first_hit.level == 1.05549 - assert barrier_builder.multi_barrier.first_hit.hit_datetime == parser.parse("2023-01-03 21:05:00") + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.STOP_LOSS + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.05549 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-03 21:05:00") + def test_full_barrier_stop_loss_hit_failed_case_1(self, prepare_price_data): + """ + Test full barrier for a short trade that hits time barrier, with stop loss and take profit + distance in pips. + """ + df = prepare_price_data + + stop_loss: float = 5 + take_profit: float = 10 + open_datetime: str = "2023-01-02 20:20:00" + pip_decimal_position = 4 + trade_side: TradeSide = TradeSide.SELL + + box_setup = MultiBarrierParameters() + box_setup.open_time = open_datetime + box_setup.open_price = df.loc[box_setup.open_time]["open"] + box_setup.take_profit_width = take_profit + box_setup.stop_loss_width = stop_loss + box_setup.time_limit = "2023-01-02 21:10:00" + box_setup.trade_side = trade_side + box_setup.pip_decimal_position = pip_decimal_position + + barrier_builder = MultiBarrier(open_price=df.open, + high_price=df.high, + low_price=df.low, + close_price=df.close, + box_setup=box_setup + ) + barrier_builder.compute() + assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TIME_BARRIER + assert barrier_builder.multi_barrier_hit.first_hit.level == 1.0663 + assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 23:00:00") # TODO: Add more tests diff --git a/triple_barrier/multi_barrier_box.py b/triple_barrier/multi_barrier_box.py index 51c5c0b..e56e9b6 100644 --- a/triple_barrier/multi_barrier_box.py +++ b/triple_barrier/multi_barrier_box.py @@ -43,6 +43,19 @@ def __init__(self, self.time_limit: datetime = time_limit self.pip_decimal_position = pip_decimal_position + def __str__(self): + output: str = f""" + Open datetime: {self.open_datetime} + Open price: {self.open_price} + Stop loss: {self.stop_loss} + Take profit : {self.take_profit} + Trade side: {self.trade_side} + Time limit: {self.time_limit} + Pip position: {self.pip_decimal_position} + """ + + return output + class BoxBuilder: diff --git a/triple_barrier/multi_barrier_types.py b/triple_barrier/multi_barrier_types.py index ab2c0dd..3f6b2be 100644 --- a/triple_barrier/multi_barrier_types.py +++ b/triple_barrier/multi_barrier_types.py @@ -33,10 +33,15 @@ def __init__(self, self.barrier_type: BarrierType = barrier_type def __str__(self): - return f"datetime: {self.hit_datetime}, level {self.level}, type {self.barrier_type.value}" + output: str = f""" + Datetime: {self.hit_datetime} + Level: {self.level} + Type: {self.barrier_type.value} + """ + return output class MultiBarrierHit: def __init__(self) -> None: self.barriers: list[BarrierHit] = [] - self.first_hit: BarrierHit = BarrierHit() \ No newline at end of file + self.first_hit: BarrierHit = BarrierHit() diff --git a/triple_barrier/plots.py b/triple_barrier/plots.py index b87e50c..2d754a6 100644 --- a/triple_barrier/plots.py +++ b/triple_barrier/plots.py @@ -9,8 +9,8 @@ import mplfinance as mpf from triple_barrier.triple_barrier import BarrierHit -from triple_barrier.triple_barrier import MultiBarrierHit -from triple_barrier.multi_barrier_box import MultiBarrierBox +from triple_barrier.triple_barrier import MultiBarrier + from triple_barrier import constants @@ -22,9 +22,12 @@ def __init__(self, low_price: pd.Series, close_price: pd.Series, pip_decimal_position: int, - overlay_features: list | None = None + overlay_features: list | None = None, + periods_to_plot: int = 50 ): + self._periods_to_plot: int = periods_to_plot + if overlay_features is None: self.overlay_features = [] else: @@ -50,24 +53,29 @@ def build_ohlc(open_price: pd.Series, columns=["open", "high", "low", "close"]) return ohlc - def plot_multy_barrier(self, - box_setup: MultiBarrierBox, - multi_barrier_hit: MultiBarrierHit): - self._plot(box_setup.open_datetime, - box_setup.take_profit) - + def plot_multi_barrier(self, + multi_barrier: MultiBarrier): + self._plot( + entry_period=multi_barrier.multi_barrier_box.open_datetime, + take_profit_level=multi_barrier.multi_barrier_box.take_profit, + stop_loss_level=multi_barrier.multi_barrier_box.stop_loss, + time_barrier_datetime=multi_barrier.multi_barrier_box.time_limit, + periods_to_plot=self._periods_to_plot, + dynamic_exit_price=None, + closing_event=multi_barrier.multi_barrier_hit.first_hit + ) def _plot(self, - entry_period: str, + entry_period: datetime, take_profit_level: float, stop_loss_level: float, - time_barrier_datetime: str, + time_barrier_datetime: datetime, periods_to_plot: int = 50, dynamic_exit_price: float | None = None, closing_event: BarrierHit | None = None ): - date_from: datetime = pd.to_datetime(entry_period) + date_from: datetime = entry_period date_to: datetime = self.ohlc[entry_period:].index[periods_to_plot - 1] if len(self.ohlc[date_from: date_to]) == 0: @@ -128,7 +136,6 @@ def _add_closing_event_hit(self, return mpf.make_addplot(self.ohlc[date_from: date_to]["temp-dynamic"], type="scatter", marker="v", - label="barrier hit", markersize=75, color="red" ) @@ -211,4 +218,3 @@ def _add_text(self, barrier[constants.DYNAMIC_CLOSE], "dyb", fontdict=font) - diff --git a/triple_barrier/triple_barrier.py b/triple_barrier/triple_barrier.py index cc7030b..4737097 100644 --- a/triple_barrier/triple_barrier.py +++ b/triple_barrier/triple_barrier.py @@ -14,7 +14,6 @@ from triple_barrier.multi_barrier_types import TradeSide - class MultiBarrier: def __init__(self, @@ -35,8 +34,7 @@ def __init__(self, box_builder: BoxBuilder = BoxBuilder() self.multi_barrier_box: MultiBarrierBox = box_builder.build_multi_barrier_box(box_setup) - self.multi_barrier: MultiBarrierHit = MultiBarrierHit() - + self.multi_barrier_hit: MultiBarrierHit = MultiBarrierHit() def compute(self): try: @@ -46,7 +44,7 @@ def compute(self): if self.dynamic_exit is not None: self._compute_dynamic_barrier() self._select_first_hit() - return self.multi_barrier + return self.multi_barrier_hit except Exception as error_instance: raise Exception(str(error_instance)) @@ -61,7 +59,7 @@ def _compute_take_profit_barrier(self): take_profit=self.multi_barrier_box.take_profit ) take_profit_barrier.compute() - self.multi_barrier.barriers.append(take_profit_barrier.barrier) + self.multi_barrier_hit.barriers.append(take_profit_barrier.barrier) def _compute_stop_loss_barrier(self): stop_loss_barrier: StopLoss = StopLoss(open_price=self.open, @@ -74,7 +72,7 @@ def _compute_stop_loss_barrier(self): stop_loss=self.multi_barrier_box.stop_loss ) stop_loss_barrier.compute() - self.multi_barrier.barriers.append(stop_loss_barrier.barrier) + self.multi_barrier_hit.barriers.append(stop_loss_barrier.barrier) def _compute_time_barrier(self): time_barrier: TimeBarrier = TimeBarrier(close_price=self.close, @@ -82,7 +80,7 @@ def _compute_time_barrier(self): open_datetime=self.multi_barrier_box.open_datetime ) time_barrier.compute() - self.multi_barrier.barriers.append(time_barrier.barrier) + self.multi_barrier_hit.barriers.append(time_barrier.barrier) def _compute_dynamic_barrier(self): dynamic_barrier: DynamicBarrier = DynamicBarrier(close_price=self.close, @@ -90,17 +88,17 @@ def _compute_dynamic_barrier(self): open_datetime=self.multi_barrier_box.open_datetime ) dynamic_barrier.compute() - self.multi_barrier.barriers.append(dynamic_barrier.barrier) + self.multi_barrier_hit.barriers.append(dynamic_barrier.barrier) def _select_first_hit(self): first_hit: BarrierHit | None = None - for barrier in self.multi_barrier.barriers: + for barrier in self.multi_barrier_hit.barriers: if first_hit is None: first_hit = barrier else: if barrier.hit_datetime < first_hit.hit_datetime: first_hit = barrier - self.multi_barrier.first_hit = first_hit + self.multi_barrier_hit.first_hit = first_hit class TakeProfit: From f0de1a0ec070f9a81510aceb0db55ef847d9f6ce Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Tue, 12 Mar 2024 21:56:57 -0300 Subject: [PATCH 5/6] Adjusted tests Signed-off-by: marcello chiuminatto --- docs/plot-method-tests.ipynb | 20 ++++++------ pyproject.toml | 2 +- .../unit/test_triple_barrier_happy_path.py | 31 ------------------- 3 files changed, 11 insertions(+), 42 deletions(-) diff --git a/docs/plot-method-tests.ipynb b/docs/plot-method-tests.ipynb index a02a7e9..21cd305 100644 --- a/docs/plot-method-tests.ipynb +++ b/docs/plot-method-tests.ipynb @@ -126,7 +126,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 7, @@ -286,7 +286,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 14, @@ -320,7 +320,7 @@ }, { "data": { - "image/png": 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" ] @@ -344,8 +344,8 @@ "output_type": "stream", "text": [ "Hit \n", - " Datetime: 2023-01-02 22:00:00 \n", - " Level: 1.0666600000000002 \n", + " Datetime: 2023-01-02 22:20:00 \n", + " Level: 1.0658400000000001 \n", " Type: take-profit\n", " \n" ] @@ -366,12 +366,12 @@ "output_type": "stream", "text": [ "\n", - " Open datetime: 2023-01-02 21:10:00\n", - " Open price: 1.06766\n", - " Stop loss: 1.06816\n", - " Take profit : 1.0666600000000002\n", + " Open datetime: 2023-01-02 22:20:00\n", + " Open price: 1.06684\n", + " Stop loss: 1.06734\n", + " Take profit : 1.0658400000000001\n", " Trade side: TradeSide.SELL\n", - " Time limit: 2023-01-02 22:00:00\n", + " Time limit: 2023-01-02 23:10:00\n", " Pip position: 4 \n", " \n" ] diff --git a/pyproject.toml b/pyproject.toml index a011c59..df3e2a1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta" [project] name = "triple-barrier" -version = "0.2.0rc" +version = "0.3.0rc" authors = [ {name="Marcello Chiuminatto", email="mch@thequantick.net"}, ] diff --git a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py index 2ee481a..eb806da 100644 --- a/tests/triple_barrier/unit/test_triple_barrier_happy_path.py +++ b/tests/triple_barrier/unit/test_triple_barrier_happy_path.py @@ -285,38 +285,7 @@ def test_sl_tp_levels_long_short_sl_level(self, prepare_price_data): assert barrier_builder.multi_barrier_hit.first_hit.level == 1.05549 assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-03 21:05:00") - def test_full_barrier_stop_loss_hit_failed_case_1(self, prepare_price_data): - """ - Test full barrier for a short trade that hits time barrier, with stop loss and take profit - distance in pips. - """ - df = prepare_price_data - - stop_loss: float = 5 - take_profit: float = 10 - open_datetime: str = "2023-01-02 20:20:00" - pip_decimal_position = 4 - trade_side: TradeSide = TradeSide.SELL - box_setup = MultiBarrierParameters() - box_setup.open_time = open_datetime - box_setup.open_price = df.loc[box_setup.open_time]["open"] - box_setup.take_profit_width = take_profit - box_setup.stop_loss_width = stop_loss - box_setup.time_limit = "2023-01-02 21:10:00" - box_setup.trade_side = trade_side - box_setup.pip_decimal_position = pip_decimal_position - - barrier_builder = MultiBarrier(open_price=df.open, - high_price=df.high, - low_price=df.low, - close_price=df.close, - box_setup=box_setup - ) - barrier_builder.compute() - assert barrier_builder.multi_barrier_hit.first_hit.barrier_type == BarrierType.TIME_BARRIER - assert barrier_builder.multi_barrier_hit.first_hit.level == 1.0663 - assert barrier_builder.multi_barrier_hit.first_hit.hit_datetime == parser.parse("2023-01-02 23:00:00") # TODO: Add more tests From 4a2f46f3c4253208642e7753e52a874c330f2cc2 Mon Sep 17 00:00:00 2001 From: marcello chiuminatto Date: Tue, 12 Mar 2024 21:59:03 -0300 Subject: [PATCH 6/6] Added build makefile Signed-off-by: marcello chiuminatto --- Makefile | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/Makefile b/Makefile index 0395bc8..8cc4a11 100644 --- a/Makefile +++ b/Makefile @@ -7,3 +7,7 @@ unit-test: integration-test: pytest ./tests/triple_barrier/integration/; + +build: + python -m build; + twine upload ./dist/*