In modern times, it is increasingly difficult to gain a significant competitive edge just by being faster than others, which means relying on sophisticated trading signals, predictive models, and strategies. In our book Learn Algorithmic Trading, we provide a broad audience with the knowledge and hands-on practical experience required to build a good understanding of how modern electronic trading markets and market participants operate, as well as how to go about designing, building, and operating all the components required to build a practical and profitable algorithmic trading business using Python.
You will be introduced to algorithmic trading and setting up the environment required to perform tasks throughout the book. You will learn the key components of an algorithmic trading business and the questions you need to ask before embarking on an automated trading project.
Later, you will learn how quantitative trading signals and trading strategies are developed. You will get to grips with the workings and implementation of some well-known trading strategies. You will also understand, implement, and analyze more sophisticated trading strategies, including volatility strategies, economic release strategies, and statistical arbitrage. You will learn how to build a trading bot from scratch using the algorithms built in the previous sections.
By now, you will be ready to connect to the market and start researching, implementing, evaluating, and safely operating algorithmic trading strategies in live markets.
