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

Product typeBook

Published inMar 2023

PublisherPackt

ISBN-139781804616857

Edition1st Edition

Concepts

Financial Technology

Author (1)

Alex Krishtop

Part 4: Strategies, Performance Analysis, and Vistas

In previous parts, we gained sufficient knowledge to be able to develop a robust trading platform suitable for both backtesting and – with minimal modifications – live trading. We even coded a dummy strategy and as expected found that it could not make money if not tested properly.

Part 4 explains how to build a profitable trading strategy, from searching for trading ideas to implementing them in code. We will also learn how to generate the most important strategy performance data and analyze it to make the final verdict on whether such a strategy can be used in real life or not. Then, we will see how to correctly implement limit and stop orders and consider another trading strategy, based on a completely different trading idea. Finally, the last chapter suggests a few guidelines for further self-development in algorithm trading, with links to useful and valuable resources.

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Author (1)

Alex Krishtop

Alexey Krishtop is a quantitative trader and researcher with 20 years of experience in developing automated trading solutions. He is currently the head of trading and research at Edgesense Technologies and CTO at ForexVox Ltd. He develops market models and trading algorithms for FX, commodities, and crypto. He was one of the first traders who started using Python as the ultimate environment for quantitative trading and suggested a few approaches to developing trading apps that, today, have become standard among many quant traders. He has worked as a director of education with the Algorithmic Traders Association, where he developed an exhaustive course in systematic and algo trading, which covers the worlds of both quantitative models and discretionary approaches.
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