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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

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When we implement an FIX parser and an FIX composer, we know how tedious and time-consuming this process is. If you choose to implement these parts from scratch, you will need to take care of the network connections, the parsing operations, and the part creating the FIX messages. Because we want to focus on creating a trading system that's capable of working quickly, we will want to use a library where all the functions have already been implemented. There are many commercial FIX libraries available, including NYFIX, Aegisfot – Aethna, Reuters – Traid, and Financial Fusion – Trade Force. The one we will use is called the quickfix library.

This library can be downloaded from http://www.quickfixengine.org/.

This library was created in 2000 and is supported by Java, C++, and Python.

The libraries simplify the developer...

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