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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

Alpha classics – trend-following, mean reversion, breakout, and momentum

Let’s quickly recap the idea of generating alpha: we want to beat the market or perform better than an index (or just the rate itself in FX trading) by actively managing the position in the market. This means we try to buy when we expect the price to go up and we try to sell when we expect the price to go down.

Therefore, in order to successfully generate alpha, we basically have only two options: either we suppose that the price will continue moving in an already established direction, or we anticipate a change. In the former case, we make an attempt to buy when prices go higher and sell when they go down. In the latter case, we try to buy when prices go down and sell when they go up.

Note for nerds

In all the discussions and examples here, I intentionally don’t go deep into mathematics. We are focusing on the qualitative side of these phenomena to better understand their nature...

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