ABOUT
Yiheng Quant Tech develops modular quantitative research and trading infrastructure connecting market data, systematic research, portfolio decision systems and execution.
Connections
LinkedIn ↗ (opens in a new tab)FOUNDER
Yiheng Chen founded Yiheng Quant Tech to build modular quantitative research and trading infrastructure across systematic research, portfolio decision systems and AI-enabled market intelligence. He holds an MSc in Computational Finance from University College London and has experience across global markets, quantitative research and machine learning, including roles at ICBC, Tencent and Lighthorse Asset Management.
His path has moved from engineering and machine learning to computational finance, systematic research and front-office markets. These different perspectives shaped a view of investing as a connected decision process rather than a collection of isolated models. As AI makes analysis and coding increasingly accessible, his focus is shifting toward the capabilities that remain harder to automate: framing the right questions, understanding market context, recognizing model limits and translating research into disciplined portfolio decisions.

PHILOSOPHY
The system is designed around a simple principle: market states matter more than point forecasts. Research should be modular and testable, signals should be interpreted in context before execution, and risk should be embedded in the decision process rather than added afterwards. The goal is not to predict every move, but to build a disciplined framework that can adapt as evidence, market conditions and position states change.