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Getting Started with Forex Trading Using Python

You're reading from  Getting Started with Forex Trading Using Python

Product type Book
Published in Mar 2023
Publisher Packt
ISBN-13 9781804616857
Pages 384 pages
Edition 1st Edition
Languages
Author (1):
Alex Krishtop Alex Krishtop
Profile icon Alex Krishtop

Table of Contents (21) Chapters

Preface Part 1: Introduction to FX Trading Strategy Development
Chapter 1: Developing Trading Strategies – Why They Are Different Chapter 2: Using Python for Trading Strategies Chapter 3: FX Market Overview from a Developer's Standpoint Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components
Chapter 4: Trading Application: What’s Inside? Chapter 5: Retrieving and Handling Market Data with Python Chapter 6: Basics of Fundamental Analysis and Its Possible Use in FX Trading Chapter 7: Technical Analysis and Its Implementation in Python Chapter 8: Data Visualization in FX Trading with Python Part 3: Orders, Trading Strategies, and Their Performance
Chapter 9: Trading Strategies and Their Core Elements Chapter 10: Types of Orders and Their Simulation in Python Chapter 11: Backtesting and Theoretical Performance Part 4: Strategies, Performance Analysis, and Vistas
Chapter 12: Sample Strategy – Trend-Following Chapter 13: To Trade or Not to Trade – Performance Analysis Chapter 14: Where to Go Now? Index Other Books You May Enjoy

Trading logic – this is where a small mistake may cost a fortune

Trading logic is obviously the core of the entire trading app. It is the very component that analyzes the market data in search of any pre-defined price-time patterns (sometimes other data such as volume and open interest is included, but this data is typically not available for the spot market) and generates orders. Almost all of the rest of the book will be dedicated to trading logic and various approaches to developing trading algorithms but we can’t really move on without considering one very typical mistake that already costs many traders millions, if not billions, of dollars. I mean the peek ahead issue.

The phenomenon of peeking ahead is specific to only the development phase of the project when the trading algorithm is optimized or trained using past market data, which is called historical data. As you remember from the previous section, historical data is something pre-recorded either by yourself...

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