theanh97 / Deep-Reinforcement-Learning-with-Stock-TradingLinks
This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2C, DDPG, SAC, and TD3 in a realistic trading environment with transaction costs, it aims to optimize trading decisions based on return, volatility, and Sharpe ratio.
☆95Updated last year
Alternatives and similar repositories for Deep-Reinforcement-Learning-with-Stock-Trading
Users that are interested in Deep-Reinforcement-Learning-with-Stock-Trading are comparing it to the libraries listed below
Sorting:
- FinML: A Practical Machine Learning Framework for Dynamic Stock Selection☆170Updated last year
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆210Updated 4 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆194Updated 3 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆85Updated 2 weeks ago
- Reinforcement Learning package for Finance☆133Updated last year
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 3 years ago
- Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions…☆70Updated 3 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆104Updated 3 years ago
- ☆104Updated 2 years ago
- ☆207Updated 3 weeks ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated 2 years ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆98Updated last year
- A Deep Reinforcement Learning Framework for Stock Market Trading☆185Updated 4 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆128Updated 4 years ago
- Resources☆241Updated last year
- A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.☆139Updated 4 years ago
- ☆77Updated last year
- Solutions for selected exercises from Advances in Financial Machine Learning by Marcos Lopez De Prado☆86Updated 3 years ago
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆285Updated 4 years ago
- The Official Repository of Mastering Financial Pattern Recognition☆157Updated 3 years ago
- ☆61Updated last year
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆55Updated 4 years ago
- Feature Engineering and Feature Importance in Machine Learning for Financial Markets☆196Updated last year
- Implementation of Reinforcement Learning in Pair Trading☆11Updated 7 months ago
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆57Updated 5 years ago
- Pair Trading - Reinforcement Learning - with Oanda Trading API☆65Updated 6 years ago
- This repository provides the code for a Reinforcement Learning trading agent with its trading environment that works with both simulated …☆219Updated 2 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Updated 7 months ago
- powerful ai-copilot for quant traders and researchers☆199Updated last year
- experiments with pair trading☆332Updated last year