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You're reading from Learn Algorithmic Trading Build and deploy algorithmic trading systems and strategies using Python and advanced data analysis

Product type Paperback

Published in Nov 2019

Publisher Packt

ISBN-13 9781789348347

Length 394 pages

Edition 1st Edition

Languages

Python

Concepts

Data Analysis

Authors (2):

Sebastien Donadio

Sourav Ghosh

View More author details

Table of Contents (17) Chapters

Preface

1. Section 1: Introduction and Environment Setup FREE CHAPTER

2. Algorithmic Trading Fundamentals

3. Section 2: Trading Signal Generation and Strategies

4. Deciphering the Markets with Technical Analysis

5. Predicting the Markets with Basic Machine Learning

6. Section 3: Algorithmic Trading Strategies

7. Classical Trading Strategies Driven by Human Intuition

8. Sophisticated Algorithmic Strategies

9. Managing the Risk of Algorithmic Strategies

10. Section 4: Building a Trading System

11. Building a Trading System in Python

12. Connecting to Trading Exchanges

13. Creating a Backtester in Python

14. Section 5: Challenges in Algorithmic Trading

15. Adapting to Market Participants and Conditions

16. Other Books You May Enjoy

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Understanding and implementing basic statistical arbitrage trading strategies

Statistical arbitrage trading strategies (StatArb) first became popular in the 1980s, delivering many firms double-digit returns. It is a class of strategies that tries to capture relationships between short-term price movements in many correlated products. Then it uses relationships that have been found to be statistically significant in the past research to make predictions in the instrument being traded based on price movements in a large group of correlated products.

Basics of StatArb

Statistical arbitrage or StatArb is in some way similar to pairs trading that takes offsetting positions in co-linearly related products that we explored...

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Authors (2)

Sebastien Donadio

Sebastien Donadio is the Chief Technology Officer at Tradair, responsible for leading the technology. He has a wide variety of professional experience, including being head of software engineering at HC Technologies, partner and technical director of a high-frequency FX firm, a quantitative trading strategy software developer at Sun Trading, working as project lead for the Department of Defense. He also has research experience with Bull SAS, and an IT Credit Risk Manager with Socit Gnrale while in France. He has taught various computer science courses for the past ten years in the University of Chicago, NYU and Columbia University. His main passion is technology but he is also a scuba diving instructor and an experienced rock-climber.

See other products by Sebastien Donadio

Sourav Ghosh

Sourav Ghosh has worked in several proprietary, high-frequency algorithmic trading firms over the last decade. He has built and deployed extremely low latency, high-throughput automated trading systems for trading exchanges around the world, across multiple asset classes. He specializes in statistical arbitrage market-making and pairs trading strategies with the most liquid global futures contracts. He is currently the vice president at an investment bank based in São Paulo, Brazil. He holds a master's in computer science from the University of Southern California. His areas of interest include computer architecture, FinTech, probability theory and stochastic processes, statistical learning and inference methods, and natural language processing.

See other products by Sourav Ghosh