I originally built StockScore as fundamental stock research for myself. It kept expanding because every time I found a gap in my process, I filled it.

I approached stocks the way a lawyer approaches a case — I wanted as many clear points in my favor as possible before making a decision. That’s where the scoring system started. I didn’t just want raw numbers. I wanted peer comparisons on ratios, growth, and strength so I could see who was actually best and whether the score justified the trade.

That grew into building growth scores (quarter-over-quarter and year-over-year), expanding performance and relative strength metrics, and before i knew it, I had created a full database of 2,300+ stocks that looks at hundred, nearly thousands of different metrics and thresholds. I built systems to track market sentiment, spot when an industry was truly hot versus putting in a false breakout, and measure 52-week highs not just on individual names but across entire industries.

A stock up 20% was never enough for me. I needed to know what was happening behind the move. Every tool was built to filter out the trades that looked fine on the surface but weren’t strong enough underneath.

The result is the system you see today: clear ranked context that gives confidence both before the trade and after.