| 內容簡介 | Discover the inner workings of today's forex market, the essential risks in forex algo trading, and how to mitigate them Key Features Build trading applications with research and without advanced Python programming skills Dive into professional fx trading while enhancing your trading apps to be more accurate Develop simple yet efficient backtesting applications to help keep your expectations realistic Book Description 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. What you will learn Explore the forex market organization and operations Understand the sources of alpha and the concept of algo trading Get a grasp on typical risks and ways to mitigate them Understand fundamental and technical analysis Connect to data sources and check the integrity of mar |