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

Learning how to choose the correct assumptions

Backtesting is a required step for deploying trading strategies. We use the historical data stored in databases to reproduce the behavior of the trading strategy. The fundamental assumption is that any methodology that functioned in the past is probably going to function in the future. Any strategies that performed ineffectively in the past are probably going to perform inadequately in the future. This section investigates what applications are utilized in backtesting, what sort of information is obtained, and how to utilize them.

A backtester can be a for-loop or event-driven backtester system. It is always important to consider how much time you will spend in order to achieve higher accuracy. It is impossible to obtain a model corresponding to reality; a backtester will just be a model of reality. However, there are rules...