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QUICK START

git clone https://github.com/justinbodnar/stocktuna.git

cd stocktuna

pip3 install -r requirements.txt

wget https://stocktuna.com/datasets/kaggle-stock-etf-dataset.zip

unzip kaggle-stock-etf-dataset.zip

rm kaggle-stock-etf-dataset.zip

mkdir models

mkdir datasets

python3 cli-menu.py

OR

pydoc3 stocktuna

CLI MENU OPTIONS

  1. Create new data sets
  2. Extend data set
  3. List and analyze available data sets
  4. Train a model on a data set
  5. View a random data point and tag
  6. Graph a random data point and tag (uses MatPlotLib)
  7. Watch model make 10,000 predictions

MORE INFORMATION

Read DATA.md for information about how the data is structured

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a library for the meaningful processing of historical stock market data

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