OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNIN
Unverified ML strategy on Indices by Amey-Thakur. BotFinder score 18 out of 100.
Machine Learning Project to Optimize Stock Trading Strategies Using Reinforcement Learning.
Source: github
BotFinder analysis pending.
OPTIMIZING-STOCK-TRADING-STRATEGY-WITH-REINFORCEMENT-LEARNIN
Optimizing Stock Trading Strategy With Reinforcement Learning A machine learning study demonstrating the application of Reinforcement Learning (Q-Learning) algorithms to optimize stock trading strategies and maximize portfolio returns. Source Code · Kaggle Notebook · Video Demo · Live Demo --- Authors · Overview · Features · Structure · Results · Quick Start · Usage Guidelines · License · About · Acknowledgments --- Authors | Amey Thakur | Mega Satish | | :---: | :---: | [!IMPORTANT] 🤝🏻 Special Acknowledgement Special thanks to Mega Satish for her meaningful contributions, guidance, and support that helped shape this work. --- Overview Optimizing Stock Trading Strategy With Reinforcement Learning is a Data Science study conducted as part of the Internship at Technocolabs Software. The project focuses on the development of an intelligent agent capable of making autonomous trading decisions (Buy, Sell, Hold) to maximize profitability. By levera
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