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Learn Algorithmic Trading

You're reading from   Learn Algorithmic Trading Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781789348347
Length 394 pages
Edition 1st Edition
Languages
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Authors (2):
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Sebastien Donadio Sebastien Donadio
Author Profile Icon Sebastien Donadio
Sebastien Donadio
Sourav Ghosh Sourav Ghosh
Author Profile Icon Sourav Ghosh
Sourav Ghosh
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Toc

Table of Contents (17) Chapters Close

Preface 1. Section 1: Introduction and Environment Setup FREE CHAPTER
2. Algorithmic Trading Fundamentals 3. Section 2: Trading Signal Generation and Strategies
4. Deciphering the Markets with Technical Analysis 5. Predicting the Markets with Basic Machine Learning 6. Section 3: Algorithmic Trading Strategies
7. Classical Trading Strategies Driven by Human Intuition 8. Sophisticated Algorithmic Strategies 9. Managing the Risk of Algorithmic Strategies 10. Section 4: Building a Trading System
11. Building a Trading System in Python 12. Connecting to Trading Exchanges 13. Creating a Backtester in Python 14. Section 5: Challenges in Algorithmic Trading
15. Adapting to Market Participants and Conditions 16. Other Books You May Enjoy

Components of an algorithmic trading system

In an earlier section, we provided a top-level view of the entire algorithmic trading setup and many of the different components involved. In practice, a complete algorithmic trading setup is divided into two sections, as shown in the following diagram:

  • Core infrastructure deals with exchange-facing market data protocol integration, market data feed handlers, internal market data format normalization, historical data recording, instrument definition recording and dissemination, exchange order entry protocols, exchange order entry gateways, core side risk systems, broker-facing applications, back office reconciliation applications, addressing compliance requirements, and others.
  • Algorithmic trading strategy components deal with using normalized market data, building order books, generating signals from incoming market data and order...
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