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Machine Learning Algorithmic Trading Predictive by Jansen Stefan (24 results)
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Condition: like_new. Fast Free Shipping â" Excellent condition book with clean cover and pages. Barely handled, with minimal wear. An outstanding copy, close to enjoy!
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Language: English
Published by Packt Publishing (edition 2nd ed.), 2020
ISBN 10: 1839217715 ISBN 13: 9781839217715
Paperback. Condition: Very Good. 2nd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Machine Learning for Algorithmic Trading : Predictive Models to Extract Signals from Market and Alternative Data for Systematic Trading Strategies with Python, 2nd Edition
Language: English
Published by Packt Publishing, Limited, 2020
ISBN 10: 1839217715 ISBN 13: 9781839217715
Condition: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Language: English
Published by Packt Publishing (edition 2nd ed.), 2020
ISBN 10: 1839217715 ISBN 13: 9781839217715
Paperback. Condition: Very Good. 2nd ed. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Soft cover. Condition: Very Good. 2nd Edition. VERY GOOD softcover, no marks in text, clean covers. Book.
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with
Language: English
Published by Packt Publishing 2020-07, 2020
ISBN 10: 1839217715 ISBN 13: 9781839217715
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Machine Learning for Algorithmic Trading - Second Edition: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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MACHINE LEARNING FOR ALGORITHMIC TRADING Predictive Models to Extract Siganls from Market and Alternative Data for Systematic Trading Strategies with Python
Published by Packt Publishing Ltd., Birmingham, UK, 2020
Softcover. Condition: Very Good+. 790 pages in very good condition. Pages are clean and unmarked with black and white charts throughout. Bound in black card covers with white and orange titles. Lightly worn around the edges with some small creases. 2nd edition. VG+. Book.
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Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Language: English
Published by Packt Publishing Limited, 2020
ISBN 10: 1839217715 ISBN 13: 9781839217715
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Taschenbuch. Condition: Neu. Machine Learning for Algorithmic Trading | Predictive models to extract signals from market and alternative data for systematic trading strategies with Python | Stefan Jansen | Taschenbuch | Kartoniert / Broschiert | Englisch | 2020 | Packt Publishing | EAN 9781839217715 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This edition introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting.'--Page 4 of cover.
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Buch. Condition: Neu. Machine Learning for Algorithmic Trading - Second Edition | Predictive models to extract signals from market and alternative data for systematic trading strategies with Python | Stefan Jansen | Buch | Englisch | 2020 | Packt Publishing | EAN 9781837027095 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Leverage machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, LightGBM, SpaCy, Gensim, TensorFlow 2, Zipline, backtrader, Alphalens, and pyfolio. Purchase of the print or Kindle book includes a free Elektronisches Buch in the PDF format.Key FeaturesDesign, train, and evaluate machine learning algorithms that underpin automated trading strategiesCreate a research and strategy development process to apply predictive modeling to trading decisionsLeverage NLP and deep learning to extract tradeable signals from market and alternative dataBook DescriptionThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This revised and expanded second edition enables you to build and evaluate sophisticated supervised, unsupervised, and reinforcement learning models.This book introduces end-to-end machine learning for the trading workflow, from the idea and feature engineering to model optimization, strategy design, and backtesting. It illustrates this by using examples ranging from linear models and tree-based ensembles to deep-learning techniques from cutting edge research.This edition shows how to work with market, fundamental, and alternative data, such as tick data, minute and daily bars, SEC filings, earnings call transcripts, financial news, or satellite images to generate tradeable signals. It illustrates how to engineer financial features or alpha factors that enable an ML model to predict returns from price data for US and international stocks and ETFs. It also shows how to assess the signal content of new features using Alphalens and SHAP values and includes a new appendix with over one hundred alpha factor examples.By the end, you will be proficient in translating ML model predictions into a trading strategy that operates at daily or intraday horizons, and in evaluating its performance.What you will learnLeverage market, fundamental, and alternative text and image dataResearch and evaluate alpha factors using statistics, Alphalens, and SHAP valuesImplement machine learning techniques to solve investment and trading problemsBacktest and evaluate trading strategies based on machine learning using Zipline and BacktraderOptimize portfolio risk and performance analysis using pandas, NumPy, and pyfolioCreate a pairs trading strategy based on cointegration for US equities and ETFsTrain a gradient boosting model to predict intraday returns using AlgoSeek s high-quality trades and quotes dataWho this book is forIf you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies. Some understanding of Python and machine learning techniques is required.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 Backtesting(N.B. Please use the Look Inside option to see further chapters).
