GitHub - APysnack/buffett: python/tensorflow data mining project for stock market prediction

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python/tensorflow data mining project for stock market prediction

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Name		Name	Last commit message	Last commit date
Latest commit History 6 Commits
__pycache__		__pycache__
extra		extra
first_model.model		first_model.model
utils		utils
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.txt		README.txt
buffett.py		buffett.py
stock data.zip		stock data.zip

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To execute this program:

1. all dependencies must first be installed (pandas, tensorflow, etc.)
2. unzip "stock data.zip" and move the contents to a desired path
3. root path in "definitions.py" must be modified to this path

Other notes:
- There is additional code that has been commented out to convert the resulting CSV file to an .arff file if the user wishes to use this data with Weka

- There is additional code that has been commented out to allow the user to download excel files from yahoo

- Individual Reports generates an excel spreadsheet with a number of attributes about the ticker that the user inputs