Insanity Trading is a quantitative hedge fund founded in 2014 by Peking University, Tsinghua University, Stanford University and Carnegie Mellon University alumni, along with Silicon Valley "FAAMG" tech giants and Millennium Management veterans.
Based on extensive statistical analysis on China's and global capital markets, we built sophisticated quantitative trading models to systematically capture the widespread mispricing opportunities in a wide range of financial instruments including stocks, futures, forex and derivatives. Our research utilizes proprietary AI research platforms and industry-leading trading models.
We are among the first to implement fully automated stock trading strategies in China's capital markets and have maintained lasting partnerships with the quant trading teams from multiple top-tier financial institutions. Our team are based in Beijing and Silicon Valley.
With the increasing effort to exploit trading opportunities from investment managers all over the world, financial markets are getting extremely efficient and correlated these days. As a result, genuinely mispriced trading opportunities are rare and hard to exploit. Relatively isolated and less studied, China's financial markets offer a great many one-of-a-kind opportunities. With the deep understanding of China market characteristics, we integrate modern statistical theories, cutting-edge AI algorithms and sophisticated optimization methods into our trading strategies, hence consistently achieve exceptional returns with minimum influence from market conditions.
Shaotian Dong, Managing Partner. Shaotian earned a Bachelor of Arts degree in advertising from Peking University(Beida), minoring in physics and business management. Prior to founding Insanity Trading, he served as tech consultant in a number of start-up companies. Shaotian entered the Chinese stock market in 2005 when he was 13 years old, endowing him with a 12-year understanding in financial investments.
Pengfei Gao, Partner & Chief Scientist. Pengfei earned a Bachelor of Arts in Physics from Tsinghua University and is currently a Ph.D. candidate, supervised by Tze Lai, in the Institute of Computational and Mathematical Engineering at Stanford University. He started to research and develop machine-learning based trading strategy and quantitaitvely invest in Chinese A Share since 2012.