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.
☆78Updated 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☆142Updated last year
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆202Updated 3 years ago
- ☆200Updated 3 weeks ago
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆91Updated last year
- ☆102Updated 2 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆44Updated last year
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆187Updated 2 years ago
- Collection of notebooks and scripts related to financial engineering, quant-research and algo-trading.☆68Updated 11 months ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆105Updated 3 years ago
- Reinforcement Learning package for Finance☆126Updated last year
- Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3.☆53Updated 2 years ago
- A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.☆139Updated 4 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆104Updated 2 years ago
- Discover a curated list of projects complementing TensorTrade, distinct from those mentioned in its official documentation. Contributions…☆70Updated 2 years ago
- Algorithmic Financial Trading with Deep Convolutional Neural Networks: Time Series to Image Conversion Approach: A novel algorithmic trad…☆123Updated 4 years ago
- Resources☆208Updated last year
- Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being r…☆280Updated 3 years ago
- Implementation of Reinforcement Learning in Pair Trading☆9Updated last week
- ☆56Updated last year
- A collection of notebooks I used in my Medium articles.☆141Updated 2 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Updated last month
- Here I test a simple ML trading strategy☆182Updated last year
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆60Updated 5 years ago
- The Official Repository of Mastering Financial Pattern Recognition☆144Updated 2 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆82Updated 2 years ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 3 years ago
- This repo houses all code for ZetraTrading's Youtube Channel☆85Updated last year
- ☆212Updated 7 years ago
- Stock price prediction using a Temporal Fusion Transformer☆111Updated 2 years ago
- An open-source framework for reduction of overfitting of DRL agents in Finance☆68Updated 2 years ago