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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

Final words

At this point, you have learned about all the components involved in a modern algorithmic trading business. You should be well-versed in all the different components involved in an end-to-end algorithmic trading setup between the trading exchange, as well as the interactions between the trading exchange and the different market participants. In addition, you should be able to understand how market participants interact with each other via the exchange matching engine and available market data.

We looked at all the different methods of incorporating intelligence into our trading signals using conventional technical analysis as well as advanced machine learning methods. We discussed the details of trading strategies and how they convert intelligence from trading signals into the order flow to manage positions and risk such that they are profitable, and then looked...

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