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Getting Started with Forex Trading Using Python

You're reading from Getting Started with Forex Trading Using Python Beginner's guide to the currency market and development of trading algorithms

Product type Paperback

Published in Mar 2023

Publisher Packt

ISBN-13 9781804616857

Length 384 pages

Edition 1st Edition

Languages

Python

Concepts

Financial Technology

Author (1):

Alex Krishtop

View More author details

Table of Contents (21) Chapters

Preface

1. Part 1: Introduction to FX Trading Strategy Development

2. Chapter 1: Developing Trading Strategies – Why They Are Different FREE CHAPTER

3. Chapter 2: Using Python for Trading Strategies

4. Chapter 3: FX Market Overview from a Developer's Standpoint

5. Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components

6. Chapter 4: Trading Application: What’s Inside?

7. Chapter 5: Retrieving and Handling Market Data with Python

8. Chapter 6: Basics of Fundamental Analysis and Its Possible Use in FX Trading

9. Chapter 7: Technical Analysis and Its Implementation in Python

10. Chapter 8: Data Visualization in FX Trading with Python

11. Part 3: Orders, Trading Strategies, and Their Performance

12. Chapter 9: Trading Strategies and Their Core Elements

13. Chapter 10: Types of Orders and Their Simulation in Python

14. Chapter 11: Backtesting and Theoretical Performance

15. Part 4: Strategies, Performance Analysis, and Vistas

16. Chapter 12: Sample Strategy – Trend-Following

17. Chapter 13: To Trade or Not to Trade – Performance Analysis

18. Chapter 14: Where to Go Now?

19. Index

Why subscribe?

20. Other Books You May Enjoy

Summary

In this chapter, we learned how to connect to a broker or data vendor, retrieve live market data, understand the requirements for the quality of this data, and know all the five core logical blocks of which our future trading application will consist.

In the next chapter, we will move on to discuss the specifics of how we can efficiently handle historical market data because this is exactly what is required for the research and development phase.

The rest of the chapter is locked

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Authors (1)

Alex Krishtop

Alex Krishtop

Alexey Krishtop is a quantitative trader and researcher with 20 years of experience in developing automated trading solutions. He is currently the head of trading and research at Edgesense Technologies and CTO at ForexVox Ltd. He develops market models and trading algorithms for FX, commodities, and crypto. He was one of the first traders who started using Python as the ultimate environment for quantitative trading and suggested a few approaches to developing trading apps that, today, have become standard among many quant traders. He has worked as a director of education with the Algorithmic Traders Association, where he developed an exhaustive course in systematic and algo trading, which covers the worlds of both quantitative models and discretionary approaches.

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