Hands-On Machine Learning for Algorithmic Trading (repost)
Hands-On Machine Learning for Algorithmic Trading:
Design and implement investment strategies based on smart algorithms that learn from data using Python
by Stefan Jansen
2018 | ISBN: 178934641X | English | 516 pages | True PDF | 25 MB
Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras
Key Features
Implement machine learning algorithms to build, train, and validate algorithmic models
Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions
Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics
Book Description
The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.