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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

Summary

This chapter made use of some of the trading signals we've seen in the previous chapters to build realistic and robust trend-following and mean reversion trading strategies. In addition, we went another step further and made those basic strategies more sophisticated by adding a volatility measure trading signal to make it more dynamic and adaptive to different market conditions. We also looked at a completely new form of trading strategy in the form of trading strategies dealing with economic releases and how to carry out the analysis for that flavor of trading strategies for our sample Non Farm Payroll data. Finally, we looked at our most sophisticated and complex trading strategy so far, which was the statistical arbitrage strategy, and applied it to CAD/USD with the major currency pairs as leading trading signals. We investigated in great detail how to quantify...

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