GitHub - Tejaswgupta/Reinforcement_Learning_for_Stock_Prediction: Repository for using reinforcement learning on real stock market data(historic)

Overview

This a barebones repo for verying the use of ml in stock prediction and getting close to real life results. ¹

Check csv null error which occurs when a csv with some empty data is passed. Fill it with dummy/synthetic data check this
Implement gpu use
Use TKinter for GUI
- Add option to select trade markets and downlaod data from gui itself
- Let user choose model from GUI(xception,vgg,nasnet,etec)

NOTE : THIS IS FOR SIMULATION PURPOSE AND NOT TO BE USED IN REAL MARKET , I'M NOT RESPONSIBLE FOR ANY DAMANGE MADE THROUGH/BY THIS SOFTWARE. ↩

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
__pycache__		__pycache__
agent		agent
data		data
images		images
models		models
.DS_Store		.DS_Store
.gitattributes		.gitattributes
NS		NS
README.md		README.md
evaluate.py		evaluate.py
functions.py		functions.py
train.py		train.py