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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

During this chapter, you were introduced to the trading world. You learned why people trade and you are capable of describing the critical actors and the trading systems with which you will interact during your life as an algorithm trading designer. You were exposed to the tools you will use in this book to build your trading robot. Finally, you encountered your first implementation of algorithmic trading by coding your first trading strategy implementing the economic idea of buying low and selling high. We observed that this strategy was far from being a profitable and safe strategy.

In the next chapter, we will address how to make a strategy more advanced, linked to more sophisticated trading ideas, while implementing these strategies in Python.

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Learn Algorithmic Trading
Published in: Nov 2019 Publisher: Packt ISBN-13: 9781789348347
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