Welcome to Francis Light Library | francislightlibrary@peninsulamalaysia.edu.my | +604-545 600 EXt:8004
Image from Google Jackets

Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python / Stefan Jansen.

By: Publisher: Birmingham, UK : Packt Publishing, 2020Edition: Second editionDescription: xxii, 790 pages : illustrations ; 24cmContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781839216787
  • 1839216786
Subject(s): Genre/Form: DDC classification:
  • 006.31 23 JAN
LOC classification:
  • HG104
Contents:
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).
List(s) this item appears in: Newest Publication
Star ratings
    Average rating: 0.0 (0 votes)

Previous edition published: 2018.

Includes bibliographical references and index.

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).

There are no comments on this title.

to post a comment.

The Ship Campus, No.1 Education Boulevard,One Auto Hub, Batu Kawan Industrial Park,14110, Bandar Cassia, Penang,Malaysia.Phone: +604 585 5000 Fax: +604 585 5009 | Email: noorshahidah@penisulacollege.edu.my 

Powered by KOHA |© Maintained by WISERF