Trading-Gym

Trading strategy simulator

A reinforcement learning framework for developing trading strategies

Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

GitHub

550 stars
59 watching
160 forks
Language: Python
last commit: almost 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
hackthemarket/gym-trading An environment for testing and training reinforcement learning models to make trading decisions based on historical market data 704
yvictor/tradinggym A toolkit for training and backtesting reinforcement learning algorithms in trading environments. 1,596
kismuz/btgym A framework for running reinforcement learning experiments in real-world algorithmic trading environments 988
matlab-deep-learning/reinforcement_learning_financial_trading This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. 154
kh-kim/stock_market_reinforcement_learning Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms 791
kkuette/tradzqai An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. 165
6-billionaires/trading-gym A platform for training reinforcement learning agents to trade in financial markets. 230
liamconnell/deep-algotrading A project demonstrating the application of deep learning techniques to financial data and algorithmic trading 234
tradingstrategy-ai/trading-strategy A Python framework for developing algorithmic trading strategies on decentralized exchanges. 232
shenyichen105/deep-reinforcement-learning-in-stock-trading An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data. 309
miroblog/deep_rl_trader A reinforcement learning-based trading system that uses Deep Q-Networks to make optimal trading decisions based on historical stock prices. 411
tradingstrategy-ai/getting-started A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. 59
robcarver17/systematictradingexamples A collection of code examples focused on systematic trading strategies and related algorithms using Python. 370
albert-z-guo/deep-reinforcement-stock-trading An open-source framework for training deep reinforcement learning models to optimize stock portfolio management 597
constverum/quantdom Framework for testing and evaluating trading strategies using Python 717