pairs-trading-with-ML
Pairs trading analysis
An exploration of using Machine Learning to identify profitable pairs trading strategies in the financial markets.
207 stars
6 watching
73 forks
Language: Jupyter Notebook
last commit: about 7 years ago
Linked from 1 awesome list
grananqvist/awesome-quant-machine-learning-tradingRelated 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 |
 edouardpoitras/nowtrade | A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
 stefan-jansen/machine-learning-for-trading | Provides software tools and examples to implement machine learning strategies for trading and portfolio management | 13,400 |
 jmrichardson/tuneta | Automates optimization of technical indicators for machine learning models in finance | 413 |
 liamconnell/deep-algotrading | A project demonstrating the application of deep learning techniques to financial data and algorithmic trading | 234 |
 juliaquant/markettechnicals.jl | Tools and algorithms for analyzing financial market data | 127 |
 matlab-deep-learning/reinforcement_learning_financial_trading | This project demonstrates a reinforcement learning approach to developing a financial trading model in MATLAB. | 154 |
 hackthemarket/gym-trading | An environment for testing and training reinforcement learning models to make trading decisions based on historical market data | 704 |
 robcarver17/systematictradingexamples | A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 370 |
 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 |
 malhartakle/mastersdissertation | An experimental project comparing different machine learning algorithms and ensemble methods for predicting stock market trends. | 1 |
| miroblog/tf_deep_rl_trader | A trading agent implemented using reinforcement learning and deep neural networks to make optimal stock market trades. | 241 |
 packtpublishing/hands-on-machine-learning-for-algorithmic-trading | Teaches data analysts and developers to create smart investment strategies using machine learning algorithms | 1,493 |
 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 |
 edtechre/pybroker | A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,062 |