This project has been modified by HackMelbourne for the purposes of teaching you the basics of trading, and to show you how to make your own autotrader. The original zip provided by Optiver is available in the Releases section of this repo!
Welcome to the ultimate team student trading competition. Competitors get to learn all the fundamentals of trading and truly test their coding and analytical skills. The aim is to build and optimise a trading algorithm that outperforms all others on a virtual exchange.
To learn more about the competition, visit [readytradergo.optiver.com] (https://readytradergo.optiver.com).
Performance of our bots we will build here:
adv
(using future and vwap): $17000 at 800 secondsbetter
(simple vwap): $12000 at 800 secondssimple
(just copying what the market is doing): loses money at 800 seconds
To run Ready Trader Go, you'll need Python version 3.9 or above and PySide6. You can download Python from www.python.org.
To use the Ready Trader Go graphical user interface, you'll need to install the PySide6 package which you can do by running
pip install PySide6
in your Python virtual environment.
To run a Ready Trader Go match with one or more autotraders, simply run:
python rtg.py run [AUTOTRADER FILENAME [AUTOTRADER FILENAME]]
For example:
python rtg.py run autotrader.py
If you're on Windows, you can just run run.bat
which is provided for you.
Each autotrader must have a corresponding JSON configuration file as described below.
This archive contains everything needed to run a Ready Trader Go match in which multiple autotraders compete against each other in a simulated market. For the exact definition of a match, see the competition terms and conditions.
The archive contains:
- autotrader.json - configuration file for an example autotrader
- autotrader.py - an example autotrader
- data - sample market data to use for testing
- exchange.json - configuration file for the exchange simulator
- ready_trader_go - the Ready Trader Go source code
- rtg.py - Use this with Python to run Ready Trader Go
Each autotrader is configured with a JSON file like this:
{
"Execution": {
"Host": "127.0.0.1",
"Port": 12345
},
"Information": {
"Type": "mmap",
"Name": "info.dat"
},
"TeamName": "TraderOne",
"Secret": "secret"
}
The elements of the autotrader configuration are:
- Execution - network address for sending execution requests (e.g. to place an order)
- Information - details of a memory-mapped file for information messages broadcast by the exchange simulator
- TeamName - name of the team for this autotrader (each autotrader in a match must have a unique name)
- Secret - password for this autotrader
The market simulator is configured with a JSON file called "exchange.json". Here is an example:
{
"Engine": {
"MarketDataFile": "data/market_data.csv",
"MarketEventInterval": 0.05,
"MarketOpenDelay": 5.0,
"MatchEventsFile": "match_events.csv",
"ScoreBoardFile": "score_board.csv",
"Speed": 1.0,
"TickInterval": 0.25
},
"Execution": {
"host": "127.0.0.1",
"Port": 12345
},
"Fees": {
"Maker": -0.0001,
"Taker": 0.0002
},
"Information": {
"Type": "mmap",
"Name": "info.dat"
},
"Instrument": {
"EtfClamp": 0.002,
"TickSize": 1.00
},
"Limits": {
"ActiveOrderCountLimit": 10,
"ActiveVolumeLimit": 200,
"MessageFrequencyInterval": 1.0,
"MessageFrequencyLimit": 50,
"PositionLimit": 1000
},
"Traders": {
"TraderOne": "secret",
"ExampleOne": "qwerty",
"ExampleTwo": "12345"
}
}
The elements of the autotrader configuration are:
- Engine - source data file, output filename, simulation speed and tick interval
- Execution - network address to listen for autotrader connections
- Fees - details of the fee structure
- Information - details of a memory-mapped file used to broadcast information messages to autotraders
- Instrument - details of the instrument to be traded
- Limits - details of the limits by which autotraders must abide
- Traders - team names and secrets of the autotraders
Important: Each autotrader must have a unique team name and password
listed in the 'Traders' section of the exchange.json
file.
The Ready Trader Go command line utility, rtg.py
, can be used to run or
replay a match. For help, run:
python3 rtg.py --help
To run a match, use the "run" command and specify the autotraders you wish to participate in the match:
python rtg.py run [AUTOTRADER FILENAME [AUTOTRADER FILENAME]]
Each autotrader must have a corresponding JSON file (with the same filename,
but ending in ".json" instead of ".py") which contains a unique team name
and the team name and secret must be listed in the exchange.json
file.
It will take approximately 60 minutes for the match to complete and several files will be produced:
autotrader.log
- log file for an autotraderexchange.log
- log file for the simulatormatch_events.csv
- a record of events during the matchscore_board.csv
- a record of each autotrader's score over time
To aid testing, you can speed up the match by modifying the "Speed" setting in the "exchange.json" configuration file - for example, setting the speed to 2.0 will halve the time it takes to run a match. Note, however, that increasing the speed may change the results.
When testing your autotrader, you should try it with different sample data files by modifying the "MarketDataFile" setting in the "exchange.json" file.
To replay a match, use the "replay" command and specify the name of the match events file you wish to replay:
python rtg.py replay match_events.csv
Download the workshop slides here: Slides.pptx