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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
2. Algorithmic Trading Fundamentals FREE CHAPTER 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

Building a Trading System in Python

In the initial chapters of this book, we learned how to create a trading strategy by analyzing historical data. In this chapter, we are going to study how to convert data analysis into real-time software that will connect to a real exchange to actually apply the theory that you've previously learned.

We will describe the functional components supporting the trading strategy based on the algorithm created in the previous chapters. We will be using Python to build a small trading system. We will use the algorithms to build a trading system capable of trading.

This chapter will cover the following topics:

  • Understanding the trading system
  • Building a trading system in Python
  • Designing a limit order book

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