trending

Launching Stockrankr on Product Hunt this Tuesday (Sep 15) — here's a preview.

Here's a challenge: take 3 minutes and try to find which US stock had the highest return over the last 6 months. I couldn't do it easily either which is exactly why I built Stockrankr.
Rankings exist for almost everything sports, cars, hotels based on objective results. I think stocks and ETFs need the same treatment. There s plenty of subjective opinion and black-box ratings nobody can check, yet investing should start with the hard facts.
Long before founding Stockrankr, I lost money in the dot-com bubble. That led me to Benjamin Graham's ideas on price vs. value, margin-of-safety, and to Warren Buffett's first rule don't lose money. But finding the basic data for a proper comparison wasn't easy it could take hours to download one annual report on a dial-up modem. That difficulty never really went away, despite all the new tech.
I have also found Drawdown how much an equity has dropped more relevant to people than volatility for assessing risk. And in 2010 published the Risk-Return Ratio (RRR) return divided by drawdown, a formula checkable by anyone on Wikipedia.
Stockrankr ranks 10,000+ US stocks and ETFs daily by Return, Drawdown, and RRR. Every security also gets its own Stockrankr Matrix a 3 3 grid across three timeframes to highlight consistent performance.
Did you find the stock from the challenge? Drop it in the comments I'll tell you if you got it right. Or just go and check yourself. It's free.
get.stockrankr.com/app

Stockrankr - Objective ranking of 10,000+ US stocks & ETFs

Just like in sports, investors also need objective rankings. We rank 10,000+ US stocks and ETFs by their actual returns over several timeframes. For risk, we focus on drawdown — how much an equity has dropped, as many investors find it more relatable. We also rank by the Risk-Return-Ratio, the returns divided by the drawdown, a metric our founder established in 2010. Every equity also gets its own Stockrankr Matrix™ — a 3×3 grid displaying consistency across time and metrics.