I tracked institutional buying patterns across 223 US stocks here’s what the data actually shows

I got tired of staring at charts trying to figure out if institutions were quietly loading up on a stock. Wyckoff methodology has been around for over a century but people still do it manually, so I spent the last few months trying to automate the whole thing.

The tool scans 223 stocks every day after market close. It looks for the classic accumulation patterns like Selling Climaxes, Secondary Tests, Signs of Strength, scores each stock from 1 to 10, and then writes out a plain English explanation of what it found and why. So you open a stock and instead of staring at candles you get something like “Selling Climax followed by a Secondary Test on declining volume, accumulation likely underway. Confidence 58%, Accumulation Pressure 9/10.”

It checks both daily and weekly timeframes so you can see when they agree. I backtested the whole thing across 69,000 signals going back to 2006 before I even started building the app. Daily signals come in around 58% win rate, weekly at 63%, and when both timeframes agree it goes up to about 65% with almost 2% alpha over the S&P. It held up through 2008, 2020, 2022, all of it. Every number is published on the site.

There’s a dashboard showing what’s accumulating right now, a screener to filter by sector and strength, detailed pages for each stock with the full narrative breakdown, and a portfolio tracker. I also built a full performance page because I didn’t want to make another black box.

It’s called koventium.com and it’s free right now. I just launched and I genuinely want to know what people think before I start charging for it. If something is confusing or broken or you think the whole idea is stupid, I want to hear it.