Skip to Content
Quantitative Trading : How to Build Your Own Algorithmic Trading Business
book

Quantitative Trading : How to Build Your Own Algorithmic Trading Business

by Ernest P. Chan
November 2008
Intermediate to advanced
208 pages
4h 13m
English
Wiley
Content preview from Quantitative Trading : How to Build Your Own Algorithmic Trading Business

Chapter 8. Conclusion: Can Independent Traders Succeed?

Quantitative trading gained notoriety in the summer of 2007 when some enormous hedge funds run by some of the most reputable money managers rung up losses measured in billions in just a few days (though some had recovered by the end of the month). They brought back bad memories of other notorious hedge fund debacles such as that of Long-Term Capital Management and Amaranth Advisors (both referenced in Chapter 6), except that this time it was not just one trader or one firm, but losses at multiple funds over a short period of time.

And yet, ever since I began my career in the institutional quantitative trading business, I have spoken to many small, independent traders, working in shabby offices or their spare bedrooms, who gain small but steady and growing profits year-in and year-out, quite unlike the stereotypical reckless day traders of the popular imagination. In fact, many independent traders that I know of have not only survived the periods when big funds lost billions, but actually thrived in those times. This has been the central mystery of trading to me for many years: how does an independent trader with insignificant equity and minimal infrastructure trade with high Sharpe ratio while firms with all-star teams fail spectacularly?

At the beginning of 2006, I left the institutional money management business and struck out on my own to experience this firsthand. I figured that if I could not trade profitably when I was ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.
Addison B.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.
Mark W.
Embedded Software Engineer

You might also like

Algorithmic Trading: Winning Strategies and Their Rationale

Algorithmic Trading: Winning Strategies and Their Rationale

Ernest P. Chan

Publisher Resources

ISBN: 9780470284889Purchase book