DeepRL-for-Financial-Stock-Trading

A Financial stock price prediction based on Deep Reinforcement Learning in Pytorch

Getting Started

This is a pytorch implementation tool box for Financial Stock Trading, support training with CPU/GPU. The model includes

git clone git@github.com:ZhengLiangliang1996/DeepRL-for-Financial-Stock-Trading.git

A step by step series of examples that tell you how to run it

Prerequisites:

Python >=3.8,<3.10 (not yet 3.10) Poetry 1.2.1+

poetry install

And simply run

chmod +x run.sh
./run.sh

or run the main function using python

In the result draw folder you could draw the result pickle files by

python picklefile_draw_helper.py

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
env		env
model		model
resource		resource
result_draw		result_draw
src		src
tests		tests
000065.SZ_NormalData.csv		000065.SZ_NormalData.csv
LiangLiangZHENG_MultiAgengLearningSeminar_ProjectReport.pdf		LiangLiangZHENG_MultiAgengLearningSeminar_ProjectReport.pdf
README.md		README.md
backtest_action.pdf		backtest_action.pdf
backtest_stock		backtest_stock
dqn_reward		dqn_reward
poetry.lock		poetry.lock
pyproject.toml		pyproject.toml
run.sh		run.sh
run_process.sh		run_process.sh
stock_ddpg_main.py		stock_ddpg_main.py
stock_dqn_main.py		stock_dqn_main.py
stock_macd_main.py		stock_macd_main.py
stock_test.py		stock_test.py
test.py		test.py
vsc_stimu3_brnn.pbs		vsc_stimu3_brnn.pbs