Built by an investor who got frustrated — and decided to build the tool he wished existed.
When I started investing seriously, I ran into the same wall most retail investors hit: publicly available analysis tools are generic. They surface a P/E ratio without telling you whether that ratio even makes sense for the type of company you're evaluating. They show debt-to-equity without mentioning that banks are supposed to be highly leveraged. They flag margin compression without accounting for the fact that a mining company's margins swing with commodity cycles in ways a SaaS company's never will.
Beyond the numbers, I struggled with the basics: which metrics actually matter for a given business? Are they equally important across industries? How do you read the direction a company is moving — not just a snapshot, but a trajectory? Every answer led to three more questions, and no single tool brought it together.
I'm a software engineer and a self-taught investor — shaped by articles, webinars, and a lot of trial and error with real money. The combination put me in an odd position: I could see both the data problem (generic, one-size-fits-all tools) and the solution (build something that actually understands how different businesses work). So I built it.
StatsAlpha is a solo project. There's no VC money, no marketing team, no editorial board. What you get is exactly what I wished I'd had when I was trying to figure out whether a stock was worth a second look.
The core idea behind StatsAlpha is that financial analysis should be industry-aware. A ratio that signals trouble for a retailer might be perfectly normal for a REIT. A leverage figure that would alarm you in a consumer goods company is standard operating procedure for a bank. A cash burn rate that looks scary for an industrial company is expected for a biotech pre-commercialisation.
We track 5,000+ stocks across 35+ years of financial history and apply scoring and analysis calibrated to how each type of business actually makes money — not a universal scorecard pasted over every sector. The pillar scoring system, fair-value models, and narrative insights are all built with that constraint in mind.
StatsAlpha has no affiliation with any brokerage, bank, financial institution, or data vendor. This is an independent platform. Everything published here is for informational and educational purposes only — nothing on StatsAlpha constitutes financial advice or a recommendation to buy or sell any security.
Questions about the platform, the methodology, or just want to say hello?