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Forex Trading by Deep Q-Network

License: MIT License

Jupyter Notebook 59.47% Python 40.38% Shell 0.14%

deepfx's Introduction

まず、Jupyterを立ち上げる。必要なファイルをDL&インストールするので、時間がかかる。

$ docker-compose build
$ docker-compose up

historical_data 以下にCSVファイルを置く。形式は「日付、始値、高値、安値、終値、取引量」の順。 Keras-RL_DQN_FX.ipynb から実行する際、上記のファイル名を引数に与えて実行すればOK。

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