/a3c_trading

Trading with recurrent actor-critic reinforcement learning

Primary LanguageJupyter Notebook

A3C trading

Trading with recurrent actor-critic reinforcement learning

Full_UML

Configuration: config.py

This file contains all the pathes and gloabal variables to be set up

Dataset: download from GDrive

After setting config.py please run this file to download and preprocess the data need for training and evaluation

Environment: trader_gym.py

OpenAI.gym-like environment class

Model: A3C_class.py

This file is containing AC_network, Worker and Test_Worker classes

Training: A3C_training.py

Run this file, preferrable in tmux. During training it will create files in tensorboard_dir and in model_dir

Testing: A3C_testing.ipynb

Jupyter notebook contains all for picturing