Jiangwei Li is a professional investor with more than 15 years of experience across business operations, investing, and data analysis. He also has a background in computer science.His investment research starts with the business itself: whether a company’s reported data, growth assumptions, and profit expectations are consistent with how the business actually operates. Rather than looking at individual metrics in isolation, he connects industry conditions, revenue drivers, cost and margin structure, cash flow, capital allocation, valuation, and market expectations into a full analytical process. Each conclusion is cross-checked against company financials, industry data, management guidance, and historical evidence.Alongside bottom-up company analysis, he has developed his own macroeconomic monitoring framework to assess the broader economic environment, risk boundaries, and changes in market conditions. The framework is not designed to predict short-term market moves. Instead, it serves as a background risk monitor: looking for opportunities when the macro structure supports risk-taking and reducing exposure when conditions deteriorate, with the goal of avoiding investments that run against the broader environment.His research covers ETFs, technology, semiconductors, energy, and individual equities. His core investment principle is simple: first understand how a business actually makes money and whether its earnings can persist; then determine whether the macro environment supports the investment case before deciding on valuation and position size.Beyond his own investment research, he has also developed part of his macro monitoring work into professional data products. Related data is currently available through Eagle Alpha and Neudata, research and data platforms serving institutional investors. The underlying research methodology has also been developed into formal academic work published in international journals.Academic PublicationsLi, J. (2026). Structural Boundary Geometry of Economic Crises: A Damped Nonlinear Field Model. Nonlinear Science.Li, J. (2026). The Cognitive Anchor System: A Structural Model of Self, Task Selection, and Latent Intention in Human Cognition. Frontiers in Psychology, 17, 1763860.
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