Akhilesh-Gogikar / MultiStockRLTradingLinks
Trading multiple stocks using custom gym environment and custom neural network with StableBaselines3.
☆53Updated 2 years ago
Alternatives and similar repositories for MultiStockRLTrading
Users that are interested in MultiStockRLTrading are comparing it to the libraries listed below
Sorting:
- This project implements the two deep reinforcement learning algorithms on portfolio management☆54Updated 7 years ago
- Experimental code supporting the results presented in the scientific research paper entitled "An Application of Deep Reinforcement Learni…☆210Updated 4 years ago
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 3 years ago
- We introduce the first end-to-end Deep Reinforcement Learning based framework for active high frequency trading.☆79Updated 2 years ago
- mbt_gym is a module which provides a suite of gym environments for training reinforcement learning (RL) agents to solve model-based high-…☆167Updated 2 years ago
- ☆95Updated last year
- Artificial-Intelligence-Big-Data-Lab / A-Multi-Layer-and-Multi-Ensembled-Stock-Trader-Using-Deep-Learning-and-Deep-Reinforcement-Learning☆57Updated 5 years ago
- differential Sharpe ratio☆36Updated 6 years ago
- Deep LSTM Duel DQN Reinforcement Learning Forex EUR/USD Trader☆194Updated 3 years ago
- Implementation of Reinforcement Learning in Pair Trading☆11Updated 6 months ago
- A Deep Reinforcement Learning Framework for Stock Market Trading☆183Updated 4 years ago
- Our codebase trials provide an implementation of the Select and Trade paper, which proposes a new paradigm for pair trading using hierar…☆131Updated 2 years ago
- This repository presents our work during a project realized in the context of the IEOR 8100 RL Class at Columbia University.☆256Updated 3 years ago
- Tensortrade project for reinforcement learning in futures market☆56Updated 5 years ago
- ☆32Updated 5 years ago
- Deep Reinforcement Learning For Trading☆108Updated last year
- Practical Deep Reinforcement Learning Approach for Stock Trading. NeurIPS 2018 AI in Finance.☆98Updated last year
- This repository is for the demonstration of our work, "Market Making with Deep Reinforcement Learning from Limit Order Books"☆72Updated 2 years ago
- An OpenAI gym environment for futures trading☆32Updated 5 years ago
- apolanco3225 / Deep-Reinforcement-Learning-for-Optimal-Execution-of-Portfolio-Transactions-using-DDPGPerforming a trading strategy using deep deterministic policy gradients to know when to buy, hold or sell stocks in a virtual environment…☆58Updated 6 years ago
- ☆101Updated 3 years ago
- An open-source framework for reduction of overfitting of DRL agents in Finance☆71Updated 2 years ago
- This project uses Deep Reinforcement Learning (DRL) to develop and evaluate stock trading strategies. By implementing agents like PPO, A2…☆92Updated last year
- backtrader with DRL ( Deep Reinforcement Learning)☆70Updated 2 years ago
- This program trains an agent: StarTrader to trade like a human using a deep reinforcement learning algorithm: deep deterministic policy g…☆109Updated 6 years ago
- JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading☆134Updated 2 weeks ago
- This repo contains some codes and outputs of my implementation of DeepLOB model.☆90Updated 4 years ago
- This is the code implementation of the paper "Financial Trading as a Game: A Deep Reinforcement Learning Approach".☆90Updated 4 years ago
- This repository represents work in progress for the Worldquant University Capstone Project titled: Asset Portfolio Management using Deep …☆89Updated 3 years ago
- A custom MARL (multi-agent reinforcement learning) environment where multiple agents trade against one another (self-play) in a zero-sum …☆154Updated this week