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Algorithmic Trading

A rough & ready guide

What Is This Book?

Until mid-2019, we had a collection of essays on quantitative trading compiled into a book titled ‘A Beginner’s Guide to Learn Algorithmic Trading’. It was well-received, but we felt that it didn’t go far enough or deep enough. As content creators in the domain that literally justifies our existence, we had a lot more to say. So, we took some parts of our older book, added a lot more updated and relevant material to weave it together into a (hopefully!) coherent story. And that’s what this book is, really.

Who Is This Book For?

This book has been written for anyone who wants to learn about the field of algorithmic trading. From our experience, we imagine that our readers would be

  • University students,
  • Technology professionals,
  • Retail traders of different hues (ex. professional traders, or hobbyists who like to actively manage their personal portfolio),
  • Anyone eager to know more about applied quantitative finance

Book Structure

We first introduce the reader to the domain of algorithmic trading by briefly exploring its history and then its terminology. We then proceed to discuss the pros and cons of automated trading. Further, we elaborate, with illustrative examples, on the components needed to create a robust trading system. We also briefly cover some key algorithmic trading strategies. to give you a taste of what’s in store for the more interested among you. We dwell on the skill sets you need to build a career in this domain or to start your own desk. Finally, we close out our work with a recommended reading list and resources for diving deeper.

What This Book Is Not

We do not discuss advanced algorithms or quantitative strategies in any measure of detail; our aim in this book is more modest viz. to give you a taste of the quantitative way of trading. We also do not teach any programming here. Instead, we will shamelessly self-promote and point you to the book on Python programming co-written by one of us (Vivek Krishnamoorthy) if that’s what you’re looking for. Or many other interesting resources (like blogs/webinars/free courses) on the QuantInsti portal.

TAKE A PEEK INSIDE THE HANDBOOK

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Frequently Asked Questions

What are the Prerequisites to read this book?

We write assuming our readers do not have a background in programming. While an understanding of finance, mathematics or computer science is not necessary, having a moderate grasp on any/some/all of them will make this book an easier read.

Is this really free?

Absolutely. This handbook is free and will always be. We believe in sharing some free knowledge that we hope you’ll find useful.

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AUTHORS

Vivek Krishnamoorthy
Vivek Krishnamoorthy

Vivek is the Head of Content & Research at QuantInsti. He teaches Python for data analysis, building quant strategies and time series analysis to our students across the world. He comes with over a decade of experience across India, Singapore and Canada in industry, academia and research. He has a Bachelors' in Electronics & Telecom Engineering from VESIT (Mumbai University), an MBA from NTU Singapore and a Graduate Certificate in Public Policy from The Takshashila Institution.

Ashutosh Dave
Ashutosh Dave

Ashutosh is a Senior Associate, Content & Research at QuantInsti. Apart from contributing to the overall content development for our flagship programme EPAT, he also looks after the Outreach activities at QuantInsti. He has worked as a derivatives trader specializing in trading interest rates and commodities with a proprietary trading firm in London for several years before joining QuantInsti. He holds a Masters in Statistics with distinction from the London School of Economics (LSE) and is a Certified FRM (GARP).

About us

QuantInsti®

QuantInsti is one of the pioneer algorithmic trading research and training institutes across the globe. With its educational initiatives, QuantInsti is preparing financial market professionals for the contemporary field of Algorithmic and Quantitative Trading. QuantInsti has also designed education modules and conducted knowledge sessions for/with various exchanges in South and South-East Asia and for leading educational and financial institutions.

EPAT®

QuantInsti’s flagship programme ‘Executive Programme in Algorithmic Trading’ (EPAT) is designed for professionals looking to grow in the field of algorithmic and quantitative trading. It inspires individuals towards a successful career by focusing on derivatives, quantitative trading, electronic market-making financial computing and risk management. This comprehensive certificate offers unparalleled insights into the world of algorithms, financial technology and changing market microstructure with its exhaustive course curriculum designed by leading industry experts and market practitioners.

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