deep-algotrading
Trading simulator
A project demonstrating the application of deep learning techniques to financial data and algorithmic trading
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
234 stars
20 watching
75 forks
Language: Jupyter Notebook
last commit: 6 months ago
Linked from 1 awesome list
deep-learninglstmneural-networkpolicy-gradientreinforcement-learningtensorflow
grananqvist/awesome-quant-machine-learning-tradingRelated projects:
| Repository | Description | Stars |
|---|---|---|
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
 kismuz/btgym | A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
 deependersingla/deep_trader | An agent learns to trade stocks using reinforcement learning | 1,458 |
 albert-z-guo/deep-reinforcement-stock-trading | An open-source framework for training deep reinforcement learning models to optimize stock portfolio management | 597 |
 thedimlebowski/trading-gym | A reinforcement learning framework for developing trading strategies | 550 |
 sachink2010/automatedstocktrading-deepq-learning | A project implementing a reinforcement learning-based automated trading system to optimize stock portfolio management. | 263 |
 amor71/liualgotrader | A framework for developing and deploying algorithmic trading strategies using machine learning and multiple data feeds. | 786 |
 hackthemarket/gym-trading | An environment for testing and training reinforcement learning models to make trading decisions based on historical market data | 704 |
 kh-kim/stock_market_reinforcement_learning | Provides a general environment for stock market trading simulation using OpenAI Gym and reinforcement learning algorithms | 791 |
 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 |
 nkaz001/hftbacktest | A framework for simulating high-frequency trading and market-making strategies with realistic latency and order book simulations. | 1,991 |
 yvictor/tradinggym | A toolkit for training and backtesting reinforcement learning algorithms in trading environments. | 1,596 |
 ai4finance-foundation/finrl-trading | Develops an AI-based trading strategy using supervised and deep reinforcement learning techniques to select stocks and allocate assets for investment. | 2,118 |
 rachnog/advanced-deep-trading | An exploration of applying deep learning techniques to financial time series data | 543 |
 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 |