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📈 Implementations of ML deep learning models for stock trading and mutual funds trend predictions.
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README.md

License Platform Python Docker

Personae - RL & SL Methods and Envs For Quantitative Trading

Personae is a repo that implements papers proposed methods in Deep Reinforcement Learning & Supervised Learning and applies them to simulate future financial trends.

Based on Ceruleanacg's repo Personae's framework, I've personalized it to support TD's mutual funds, which I am currently investing in. Currently retraining it to more accurately predict my funds of interest. As of July 10th, 2018, I've earned $378 off mutual funds! :)

Implemented Models (by Ceruleanacg)

Requirements

Before you start testing, following requirements are needed.

  • Python3.5
  • TensorFlow1.4
  • numpy
  • scipy
  • pandas
  • rqalpha
  • sklearn
  • tushare
  • matplotlib
  • mongoengine

The original repo had a GPU docker, but I've included a CPU dockerfile as well.

How to Use

Running the model

Retraining the model

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