Book Image

Learn Algorithmic Trading

By : Sebastien Donadio, Sourav Ghosh
Book Image

Learn Algorithmic Trading

By: Sebastien Donadio, Sourav Ghosh

Overview of this book

It’s now harder than ever to get a significant edge over competitors in terms of speed and efficiency when it comes to algorithmic trading. Relying on sophisticated trading signals, predictive models and strategies can make all the difference. This book will guide you through these aspects, giving you insights into how modern electronic trading markets and participants operate. You’ll start with an introduction to algorithmic trading, along with setting up the environment required to perform the tasks in the book. You’ll explore the key components of an algorithmic trading business and aspects you’ll need to take into account before starting an automated trading project. Next, you’ll focus on designing, building and operating the components required for developing a practical and profitable algorithmic trading business. Later, you’ll learn how quantitative trading signals and strategies are developed, and also implement and analyze sophisticated trading strategies such as volatility strategies, economic release strategies, and statistical arbitrage. Finally, you’ll create a trading bot from scratch using the algorithms built in the previous sections. By the end of this book, you’ll be well-versed with electronic trading markets and have learned to implement, evaluate and safely operate algorithmic trading strategies in live markets.
Table of Contents (16 chapters)
Title Page

Creating a trading strategy that works for markets with reversion behavior

After the momentum strategy, we will now look at another very popular type of strategy, the mean reversion strategy. The underlying precept is that prices revert toward the mean. Extreme events are followed by more normal events. We will find a time where a value such as the price or the return is very different from the past values. Once established, we will place an order by forecasting that this value will come back to the mean.

Reversion strategy uses the belief that the trend of quantity will eventually reverse. This is the opposite of the previous strategy. If a stock return increases too fast, it will eventually return to its average. Reversion strategies assume that any trend will go back to the average value, either an upward or downward trend (divergence or trend trading).

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