Book Image

Getting Started with Forex Trading Using Python

By : Alex Krishtop
Book Image

Getting Started with Forex Trading Using Python

By: Alex Krishtop

Overview of this book

Algorithm-based trading is a popular choice for Python programmers due to its apparent simplicity. However, very few traders get the results they want, partly because they aren’t able to capture the complexity of the factors that influence the market. Getting Started with Forex Trading Using Python helps you understand the market and build an application that reaps desirable results. The book is a comprehensive guide to everything that is market-related: data, orders, trading venues, and risk. From the programming side, you’ll learn the general architecture of trading applications, systemic risk management, de-facto industry standards such as FIX protocol, and practical examples of using simple Python codes. You’ll gain an understanding of how to connect to data sources and brokers, implement trading logic, and perform realistic tests. Throughout the book, you’ll be encouraged to further study the intricacies of algo trading with the help of code snippets. By the end of this book, you’ll have a deep understanding of the fx market from the perspective of a professional trader. You’ll learn to retrieve market data, clean it, filter it, compress it into various formats, apply trading logic, emulate the execution of orders, and test the trading app before trading live.
Table of Contents (21 chapters)
1
Part 1: Introduction to FX Trading Strategy Development
5
Part 2: General Architecture of a Trading Application and A Detailed Study of Its Components
11
Part 3: Orders, Trading Strategies, and Their Performance
15
Part 4: Strategies, Performance Analysis, and Vistas

Modeling – forecasting the future doesn’t necessarily mean practical benefits

In order to keep the discussion consistent, we need to draw a thin but solid line between trading and modeling. Sometimes, these two terms are seriously confused and may lead not only to misunderstanding but also to losing money.

Modeling is a research activity that aims at building a model that explains the observed data. For example, Ptolemy developed a geocentric model of the Solar System, whereas Nicolaus Copernicus suggested a model of the Earth spinning around its own axis and traveling around the Sun on an elliptical orbit – now known as the heliocentric model. Both models explain the observed data: that the Sun visually moves around the Earth, that day follows night, and that seasons change in order. However, the heliocentric model proved to be far more precise and easy to use, so the other one was abandoned.

In the financial world, modeling a market means finding a set...