Ryan-Ray-Martin / rl-traderLinks
This MLOps project productionizes a Deep Reinforcement Learning agent with a scalable, distributed data streaming infrastructure using Kafka and Ray. A thorough walkthrough of the code is described in this article on medium: https://ryanraymartin.medium.com/deep-reinforcement-learning-for-stock-trading-with-kafka-and-rllib-d738b9634675
☆30Updated 4 years ago
Alternatives and similar repositories for rl-trader
Users that are interested in rl-trader are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning For Trading☆107Updated last year
- An RL model that uses double deep Q learning to generate an optimal policy of stock market trades☆106Updated 2 years ago
- a unified environment for supervised learning and reinforcement learning in the context of quantitative trading☆45Updated 4 years ago
- List of portfolio management resources, using Reinforcement Learning.☆41Updated 2 years ago
- sharpe is a unified, interactive, general-purpose environment for backtesting or applying machine learning(supervised learning and reinfo…☆50Updated 4 years ago
- The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance☆104Updated 3 years ago
- The repository contains the code for project for DS 5500 course at Northeastern.☆36Updated 5 years ago
- Source code for paper:Multi-agent reinforcement learning for liquidation strategy analysis☆58Updated 6 years ago
- Implementing a Generative Adversarial Network on the Stock Market☆121Updated 3 years ago
- Deep Q-Learning Applied to Algorithmic Trading☆28Updated 5 months ago
- Material for QuantUniversity talk on Sythetic Data Generation for Finance.☆121Updated 4 years ago
- This project is part of my internship at ULiege on Deep RL in stock market trading☆45Updated 2 years ago
- Materials for blogs and conferences☆69Updated 4 years ago
- A Deep Reinforcement Learning neural net for an original Multi-Dimensional Pairs Trading strategy is proposed☆21Updated 6 years ago
- Paper: https://arxiv.org/pdf/2008.12275.pdf☆26Updated 5 years ago
- A deep learning model for Financial Signal Representation and Trading☆75Updated 7 years ago
- This code illustrates the use of genetic programming to evolve financial trading strategies for a single equity stock. Individuals (strat…☆25Updated 6 years ago
- This project implements the two deep reinforcement learning algorithms on portfolio management☆53Updated 7 years ago
- Demo for the application of RL to non-stationary effects☆45Updated 5 years ago
- stock-pairs-trading is a python library for backtest with stock pairs trading using kalman filter on Python 3.8 and above.☆37Updated 2 years ago
- Cryptocurrency Trading with Reinforcement Learning based on Backtrader☆45Updated 10 months ago
- Trained an automated stock trading model with companies' fundamental data using FinRL, a Deep Reinforcement Learning library developed by…☆54Updated 4 years ago
- Pytorch implementation of Axial-LOB from 'Axial-LOB: High-Frequency Trading with Axial Attention'☆58Updated 2 years ago
- MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable…☆62Updated 2 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…☆57Updated 6 years ago
- Deep Reinforcement Learning for Trading☆28Updated 3 years ago
- Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"☆58Updated 2 years ago
- Hedging portfolios with reinforcement learning.☆35Updated 8 years ago
- A repository for simulating limit order book dynamics from historical data and using it to train a reinforcement learning agent to make m…☆32Updated 2 years ago
- Deep Reinforcement Learning for Stock trading task☆21Updated 4 years ago