Hands-On-Machine-Learning-for-Algorithmic-Trading
Investment strategy builder
Teaches data analysts and developers to create smart investment strategies using machine learning algorithms
Hands-On Machine Learning for Algorithmic Trading, published by Packt
2k stars
78 watching
642 forks
Language: Jupyter Notebook
last commit: about 2 years ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
| A comprehensive guide to building machine learning models for streaming data in Python | 68 |
| A repository providing examples and tools for developing and backtesting algorithmic trading strategies in Python. | 76 |
| Teaches penetration testing and cybersecurity techniques using machine learning | 358 |
| An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. | 1,170 |
| A Python framework for developing algorithmic trading strategies using machine learning and data science techniques. | 2,113 |
| A collection of algorithmic trading strategies for a Gekko cryptocurrency bot | 55 |
| A Python project applying machine learning to predict stock price movements based on historical data and fundamental analysis. | 1,781 |
| Automates backtesting of investment algorithms with live pricing data from IEX Cloud, Tradier, and FinViz for training AI models. | 1,048 |
| A Python library for creating and backtesting algorithmic trading strategies using machine learning and technical indicators. | 104 |
| A framework for running reinforcement learning experiments in real-world algorithmic trading environments | 988 |
| A collection of code examples focused on systematic trading strategies and related algorithms using Python. | 375 |
| Enables quick analysis and backtesting of trading strategies using technical indicators and chart data | 377 |
| An algorithmic trading system using machine learning and historical stock data to predict price movements. | 113 |
| Teaching software developers to build intelligent agents using deep reinforcement learning and OpenAI Gym | 374 |
| Develops a framework to analyze high-frequency limit order book data and predict market outcomes using machine learning algorithms. | 1,963 |