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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

Classical Trading Strategies Driven by Human Intuition

During the previous chapters, we used statistical methods to predict market price movement from historical data. You may think that you know how to manipulate data, but how can these statistical techniques be applied to real trading? After spending so much time working on data, you may also want to know some key trading strategies that you can apply to make money.

In this chapter, we will talk about basic algorithmic strategies that follow human intuition. We will learn how to create trading strategies based on momentum and trend following, and a strategy that works for markets with mean reversion behavior. We will also talk about their advantages and disadvantages. By the end of this chapter, you will know how to use an idea to create a basic trading strategy.

This chapter will cover the following topics:

  • Creating a...

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