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Learn Algorithmic Trading

Learn Algorithmic Trading

By : Sebastien Donadio, Sourav Ghosh
3.8 (10)
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Learn Algorithmic Trading

Learn Algorithmic Trading

3.8 (10)
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 (17 chapters)
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Free Chapter
1
Section 1: Introduction and Environment Setup
3
Section 2: Trading Signal Generation and Strategies
6
Section 3: Algorithmic Trading Strategies
10
Section 4: Building a Trading System
14
Section 5: Challenges in Algorithmic Trading

Preface

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.

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