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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 

In this chapter, you learned about the different types of risks and risk factors. Then, we went through the sources of risk and learned about quantifying the risks. Moving ahead, we also learned about how to measure and manage the risks (market risk, operational risk, and software implementation bugs) of algorithmic strategies. We incorporated a full production-ready risk management system into our previously built trading strategy, thus making them safe for deployment to live trading markets. Finally, we discussed and built a practical risk scaling system that starts with very low-risk exposure and dynamically manages the risk exposure over time as the strategy performance evolves.

In the next chapter, we will look at how the algorithm's trading interacts with the different factors in the trading arena. You will learn how to build a trading bot from scratch...

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