Welcome to RegentQuant

Last Round of Funding (Angel): $1,000,000

Announced Date: Jun 2, 2023

Fund X (Flagship) Backtest Results ML Application

Image: Starship

RegentQuant is launching a new funding round with a target of $2 million, as part of a broader plan to raise $10 million by the end of 2028. While the discreet nature of quantitative finance limits what we can share publicly, innovation has never ceased. Quietly and continuously, we've been building — sharpening our edge, strengthening our systems, and positioning ourselves for long-term dominance.

1. About US

RegentQuant is a hedge fund led by Zhengyang Yao that develops quantitative trading models.

2. Why US

RegentQuant is dominating quant trading for assets under $1 billion.

As a small hedge fund, we have the flexibility and agility to develop well-performing strategies—an edge that larger institutions often lack due to their scale and constraints. We use discretionary judgment to set our research direction, while leveraging mathematics and computer science to support research and development. At the same time, we are actively integrating machine learning and advanced mathematics into our strategy library.

Meet the Team

3. Founder's Story

Zhengyang Yao began his investing journey in 2019 with the support of his father, who helped him open a brokerage account and provided initial capital. He initially focused on value investing, writing qualitative research articles, and hosting live shows on Snowball (雪球) (Xueqiu), a leading Chinese financial platform.

In mid-2022, Yao shifted his focus to the U.S. stock market and began exploring quantitative finance. By 2023, he transitioned into professional investing and founded Fund X, the flagship fund of RegentQuant.

From Zhengyang Yao: We believe that applying first-principles thinking to quantitative trading is the right approach. By studying the fundamental rules that govern market behavior, we guide our research direction with a solid foundation. As a result, our strategies are inherently resilient, with a very low probability of overfitting. We are confident that our unique research methodology in quantitative strategy development not only reduces competition but also increases our trading counterparties. We believe that RegentQuant will win.