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News Brief
By: PointLine Media Research & Editorial Team
October 7, 2026
Tang’s transition from traditional institutional analysis to AI-driven quantitative systems highlights a critical evolution in financial trading. By formalizing human experience into testable models, his work sets a new standard for risk management and systematic execution, proving that sustainable market success relies on disciplined, data-validated strategies.
With nearly four decades of expertise in Taiwan's capital markets, independent investor and quantitative consultant Tang Zhen-Hui, widely recognized as Yong Ning Ge, is bridging the gap between traditional market intuition and modern AI-driven analysis. His career, which spans from securities research and electronic trading to current quantitative strategy development, emphasizes a disciplined, data-backed approach to short-term trading. By moving away from speculative forecasting, Tang focuses on identifiable market structures, capital flows, and risk-defined opportunities that allow for consistent, repeatable success.
Tang’s methodology centers on the philosophy that successful trading requires rigorous screening rather than constant activity. His signature 2% price spread strategy illustrates this focus on capturing manageable, high-probability gains while strictly maintaining risk control. By leveraging historical data and systematic validation, Tang transforms subjective trading experience into objective quantitative models, ensuring that strategies remain robust even as market conditions evolve.
Currently collaborating with Ephod Technology AI, Tang continues to refine quantitative stock selection and next-day trading models. His work underscores a critical industry shift: the integration of human market insight with automated systems. By prioritizing discipline and empirical validation over intuition, Tang provides a blueprint for traders seeking to navigate the complexities of modern financial markets through systematic, technology-enhanced decision-making.