Systematic Equity Research
Data-driven research on stock selection, technical states, setups and market behavior.
About Yiheng Quant Tech
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)Yiheng Chen, FRM
Founder
Founder of Yiheng Quant Tech, focused on quantitative research, systematic trading infrastructure and AI-enabled research workflows. 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 work focuses on connecting research, portfolio decision systems and practical trading infrastructure.
What We Build
Macro & Market Context
Macro evidence, liquidity, policy and regime analysis used to build structured market context.
Portfolio Decision Systems
Signal-to-position, position-state, portfolio construction and replacement frameworks.
AI-Enabled Research
LLM and machine-learning workflows that support research automation, information processing and research productivity.
Research Focus
Equity Signals & Market States
Macro Regimes & Asset Allocation
Portfolio Construction & Risk
AI & Quantitative Methods
System Philosophy
State over prediction
Not every market condition requires a forecast.
Research before execution
Signals require validation and contextual interpretation.
Modular architecture
Research, portfolio and execution remain independently testable.
Risk as part of the decision
Risk controls are embedded into position and execution workflows.