Jansen, Stefan, <br/><br/>
Machine learning for algorithmic trading :  predictive models to extract signals from market and alternative data for systematic trading strategies with Python / 
Stefan Jansen. 
 - Second edition. 
 - xxii, 790 pages :   illustrations ;  24cm 
<br/><br/> Previous edition published: 2018. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Table of ContentsMachine Learning for Trading – From Idea to ExecutionMarket and Fundamental Data – Sources and TechniquesAlternative Data for Finance – Categories and Use CasesFinancial Feature Engineering – How to Research Alpha FactorsPortfolio Optimization and Performance EvaluationThe Machine Learning ProcessLinear Models – From Risk Factors to Return ForecastsThe ML4T Workflow – From Model to Strategy BacktestingTime-Series Models for Volatility Forecasts and Statistical ArbitrageBayesian ML – Dynamic Sharpe Ratios and Pairs Trading(N.B. Please use the Look Inside option to see further chapters). 
<br/><br/><label>ISBN: </label>9781839216787 1839216786 
<br/><br/><label>Source: </label>9781839216787  Packt Publishing 
<br/><br/><label>Nat. Bib. No.: </label>GBC0H8205  bnb 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Finance--Data processing.<br/>Finance--Statistical methods.<br/>Python (Computer program language)<br/>Machine learning.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>HG104 
<br/><br/><label>Dewey Class. No.: </label>006.31  / JAN