Hands-On Machine Learning for Algorithmic Trading
Stefan Jansen
Broschiertes Buch

Hands-On Machine Learning for Algorithmic Trading

Design and implement investment strategies based on smart algorithms that learn from data using Python

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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 ...