Machine Learning for Algorithmic Trading
Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
by Stefan Jansen
Should I read this?
Recommended by 1 source and appears in Machine Learning.
Leverage machine learning to design and backtest automated trading strategies for realworld markets using pandas, TALib, scikitlearn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Key Features Design, train, and evaluate machine learning algorithms that underpin automated trading strategies Create a researc...
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Why recommended
Recommended by 1 source and appears in Machine Learning.
Recommended by notable people
People and public figures who have recommended this book.
Recommendation Signals
Recommendation proof is sourced from public posts, interviews, reading lists, and cited references.
Kirk Borne
“A pathway to learning #Python for #AlgorithmicTrading: ————— #BigData #DataScience #AI #MachineLearning #Coding #DataScientists #IoT #IoTPL #TimeSeries #PredictiveAnalytics #Statistics ———— + See this brilliant book: by @ml4trading”
Appears In
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Each recommendation is collected from a public source — interviews, articles, or curated lists — and linked to its original URL. Books with many verifiable recommendations from respected people rank higher.