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Getting Started with Forex Trading Using Python

Getting Started with Forex Trading Using Python

By : Alex Krishtop
4.3 (3)
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Getting Started with Forex Trading Using Python

Getting Started with Forex Trading Using Python

4.3 (3)
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)
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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

Basics of Fundamental Analysis and Its Possible Use in FX Trading

I am sure that almost anyone who has ever been curious about trading has heard about fundamental and technical analyses. As with many popular terms, there’s a good deal of misunderstanding with both.

Most likely, you know that there is an analyst profession and that this profession is in demand in the financial industry. You might have even considered this profession for yourself because you heard that modern analysts use advanced computer technologies and come from the world of data science. However, there is a crucial difference between the two concepts; thus, the mathematical and computer inventory used with each of them is radically different. Moreover, their use in actual trading algorithms is also quite different. Let’s have a deeper look into both and see how (and if) we can use them in our applications.

We will review the key principles of fundamental and technical analyses, learn how markets...

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