One of the most rewarding parts of building Amaas has been listening to feedback from early users. While the response to the analytics has been overwhelmingly positive, several people shared a common observation: "The technology is impressive, but I wasn't immediately sure where to begin." That feedback led to one of the most important improvements we've made since the platform was introduced. Great analytics should feel approachable Amaas was designed to solve a difficult pr

One of the most interesting discoveries from recent analysis of the Fintech Trades Equity Selection Engine was not simply which stocks performed best — but which metrics most closely correlated with actual growth after selection. On March 6th, 2026, the engine analyzed thousands of publicly traded companies and selected the top 100 based on a composite scoring model derived from multiple financial and predictive factors. The engine currently evaluates companies using percenti

The Evolution of ChatGPT in Financial Modeling Over the past year, ChatGPT has transformed for me from a mere productivity experiment into something far more significant. It has become a cognitive scaffold for building and validating computational financial models. At a technical level, it has accelerated the translation of ideas into executable structures. I have used it to reason through factor construction, equity selection logic , benchmark comparisons, and regime-aware