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Learn Algorithmic Trading

You're reading from  Learn Algorithmic Trading

Product type Book
Published in Nov 2019
Publisher Packt
ISBN-13 9781789348347
Pages 394 pages
Edition 1st Edition
Languages
Authors (2):
Sebastien Donadio Sebastien Donadio
Profile icon Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Profile icon Sourav Ghosh
View More author details

Table of Contents (16) Chapters

Title Page
Copyright and Credits About Packt Contributors Preface Algorithmic Trading Fundamentals Deciphering the Markets with Technical Analysis Predicting the Markets with Basic Machine Learning Classical Trading Strategies Driven by Human Intuition Sophisticated Algorithmic Strategies Managing the Risk of Algorithmic Strategies Building a Trading System in Python Connecting to Trading Exchanges Creating a Backtester in Python Adapting to Market Participants and Conditions Other Books You May Enjoy

About the reviewers

Nataraj Dasgupta is the VP of Advanced Analytics at RxDataScience Inc. He has been in the IT industry for more than 19 years and has worked in the technical & analytics divisions of Philip Morris, IBM, UBS Investment Bank, and Purdue Pharma. He led the Data Science team at Purdue, where he developed the company's award-winning Big Data and Machine Learning platform. Prior to Purdue, at UBS, he held the role of Associate Director, working with high-frequency & algorithmic trading technologies in the Foreign Exchange Trading group. He has authored Practical Big Data Analytics and co-authored Hands-on Data Science with R. Apart from his role at RxDataScience, and is also currently affiliated with Imperial
College, London.

 

Ratanlal Mahanta is currently working as a quantitative analyst at bittQsrv, a global quantitative research company offering quant models for its investors. He has several years of experience in the modeling and simulation of quantitative trading. Ratanlal holds a master's degree in science in computational finance, and his research areas include quant trading, optimal execution, and high-frequency trading. He has over 9 years' work experience in the finance industry, and is gifted at solving difficult problems that lie at the intersection of the market, technology, research, and design.

 

Jiri Pik is an artificial intelligence architect & strategist who works with major investment banks, hedge funds, and other players. He has architected and delivered breakthrough trading, portfolio, and risk management systems, as well as decision support systems, across numerous industries.

Jiri's consulting firm, Jiri Pik—RocketEdge, provides its clients with certified expertise, judgment, and execution at the speed of light.

 

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