Deep-Reinforcement-Learning-in-Stock-Trading
Pair Trading Trainer
An implementation of a deep reinforcement learning algorithm to learn optimal strategies in pair trading by analyzing stock market data.
Using deep actor-critic model to learn best strategies in pair trading
309 stars
26 watching
127 forks
Language: Python
last commit: over 7 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,458 |
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 |
sachink2010/automatedstocktrading-deepq-learning | A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. | 263 |
kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
6-billionaires/trading-gym | A platform for training reinforcement learning agents to trade in financial markets. | 230 |
albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 596 |
liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
miroblog/tf_deep_rl_trader | A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades. | 241 |
samre12/deep-trading-agent | A Deep Reinforcement Learning framework for trading Bitcoin | 751 |
kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
marketneutral/pairs-trading-with-ml | An exploration of using Machine Learning to identify profitable pairs trading strategies in the financial markets. | 207 |
pskrunner14/trading-bot | An implementation of a stock trading bot using Deep Q-Learning to predict and make trades based on historical market data. | 983 |
kkuette/tradzqai | An environment and framework for training reinforcement learning agents to make trading decisions on cryptocurrency markets. | 165 |
ucaiado/qlearning_trading | An adaptive learning model to trade a single stock using reinforcement learning | 498 |