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  • Book Overview & Buying Learn Algorithmic Trading
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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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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

Summary 

In this chapter, you learned about the different types of risks and risk factors. Then, we went through the sources of risk and learned about quantifying the risks. Moving ahead, we also learned about how to measure and manage the risks (market risk, operational risk, and software implementation bugs) of algorithmic strategies. We incorporated a full production-ready risk management system into our previously built trading strategy, thus making them safe for deployment to live trading markets. Finally, we discussed and built a practical risk scaling system that starts with very low-risk exposure and dynamically manages the risk exposure over time as the strategy performance evolves.

In the next chapter, we will look at how the algorithm's trading interacts with the different factors in the trading arena. You will learn how to build a trading bot from scratch...

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Tech Concepts
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Programming languages
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Learn Algorithmic Trading
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