deep_trader

Stock trader

An agent learns to trade stocks using reinforcement learning

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

GitHub

1k stars
173 watching
503 forks
Language: Python
last commit: almost 7 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
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
samre12/deep-trading-agent A Deep Reinforcement Learning framework for trading Bitcoin 751
sachink2010/automatedstocktrading-deepq-learning A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. 263
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
liamconnell/deep-algotrading A project demonstrating the application of deep learning techniques to financial data and algorithmic trading 234
deependersingla/deep_portfolio An algorithm that optimizes portfolio allocation using Reinforcement Learning and Supervised learning. 168
miroblog/tf_deep_rl_trader A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades. 241
albert-z-guo/deep-reinforcement-stock-trading An open-source framework for training deep reinforcement learning models to optimize stock portfolio management 596
ucaiado/qlearning_trading An adaptive learning model to trade a single stock using reinforcement learning 498
matlab-deep-learning/reinforcement_learning_financial_trading This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. 154
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
kh-kim/stock_market_reinforcement_learning Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms 791
ha2emnomer/deep-trading This is an implementation of a trading algorithm using RNNs to predict stock return prices based on S&P 500 index movements. 32
vivekpa/aialpha This project trains machine learning models to predict stock returns using various algorithms and techniques. 1,734
robertmartin8/machinelearningstocks A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. 1,764