Explore the paradox of speed and intelligence in quantitative trading through this insightful conference talk by Christina Qi at BDF 2015. Gain an understanding of low latency trading firms like Domeyard LP and how they leverage computational models for high-frequency trading across global markets. Discover the challenges faced in balancing speed and smart decision-making, and learn about technological advancements addressing this issue. Delve into topics such as language paradigms, precision timing, zero-copy serialization formats, low-level concurrency, and cutting-edge computing technologies like FPGA and GPGPU. Benefit from Qi's extensive experience in the finance industry and her insights as a guest lecturer at prestigious institutions like MIT and Harvard Business School.
Fast and Smart - A Paradox in Quantitative Trading
Overview
Syllabus
Intro
What is Domeyard?
Why do we need to be fast?
Hitting a roadblock
What next? Business solutions
Convergence of Fast and Smart
Language paradigms
Precision timing
Zero-copy serialization formats
Low-level concurrency
FPGA computing General purpose GPU GPGPU
Conclusion
Contact
Taught by
Open Data Science
