Back
Intro
0:00

Flash Boys

by Michael Lewis

18 min 32 sec 3.8

Book saved to favorites

Book removed from favorites

thank you for your feedback!

Rating

Share

Book Summary

Flash Boys reveals how Wall Street was quietly transformed by high-frequency trading (HFT)—a system where milliseconds mean millions and fairness is optional. Michael Lewis uncovers how firms exploited speed and market structure to front-run investors, making billions by outpacing them with ultra-fast algorithms. It’s a story of invisible advantages, opaque systems, and a financial arms race that redefined trading.

Key Concepts:
At the center is Brad Katsuyama, a Canadian trader who realized his trades were being intercepted and manipulated. Prices moved the instant he placed an order, not due to market forces, but because HFT firms were exploiting fragmented exchanges to jump ahead of him.

Teaming up with technologist Ronan Ryan, Katsuyama uncovered the scope of the rigged system such as fiber-optic networks, exchange collusion, hidden order types, and brokers prioritizing kickbacks over client outcomes. Their solution? Build IEX, a new exchange with “speed bumps” to neutralize the HFT edge and restore fairness.

Lewis also examines the broader culture: regulators hesitant to intervene, financial institutions complicit in the distortion, and investors unaware their trades were being gamed. Through this lens, the book questions the integrity of modern markets and challenges the assumption that innovation always benefits the public.

Why It’s a Must-Read:
Flash Boys is a powerful exposé of market structure gone wrong. For traders, it’s a wake-up call about what happens when technology outpaces regulation. For investors, it’s a case study in how transparency and integrity can still matter. It proves one thing clearly: in finance, speed isn’t neutral, it’s a weapon.

Trade The Notes

Sign in to start bookmarking and taking notes! Keep your insights organized, jump to key moments, and refine your trading strategy - all in one place.

Related books

The Big Short by Michael Lewis

Michael Lewis

19 min 06 sec 3.8

Intro

Machine Learning for Algorithmic Trading

Stefan Jansen

45 min 25 sec 3.8

Intro

Fooled by Randomness

Nassim Taleb

28 min 30 sec 3.8

Intro

Back to top

Ready to apply what you've learned?

Start trading today!

Get Funded Now
Merry Xmass. Happy New 2024 Year