Why this exists
Crypto is full of traders making bold claims. Most are impossible to verify, and the ones easiest to check are usually the ones being invented. ChainRated exists to fix that.
Think Trustpilot meets crypto trading, except the rating is not only what people say — it is what the price data says happened.
What we actually measure
- Signal channels: we archive every signal a channel publishes and replay it against 1-minute exchange candles, so the hit rate on its page is one we computed, not one it claims.
- Copy traders: results verified through read-only exchange API keys, kept as a long history — including the resets and blow-ups a rolling 30-day page would quietly hide.
- Life Score covers a trader’s whole history, blow-ups included; Verified Score is reported separately, so a strong recent run cannot bury a bad past.
- Backtests let you run your own rules over a channel’s real signal history, because the same signals make money for one follower and liquidate another.
- Community reviews and scam reports, moderated and weighted by reputation, sit alongside the measured numbers rather than replacing them.
What we publish, including when it is inconvenient
A rating platform is only worth reading if it prints numbers that do not flatter anyone, including itself. Channels we rate badly stay listed with their numbers visible. Verification cannot be bought: what a channel can pay for is visibility — a listing tier, a section of its own page it writes itself, and an advertisement marked Promo — and none of the three moves a score, a badge, or a number we measured.
In August 2026 we found a bug in our own scoring that had marked reached targets as expired. We recalculated every affected verdict, rewrote the published articles built on the old figures, and said in each one what the error was and how large it had been. That is the standard we intend to hold.
Who is behind it
ChainRated is built by a small team of traders and engineers who were tired of watching newcomers get burned by fake track records.
It started with our founder losing more than $10,000 following signal channels over three years, and getting tired of learning from the inside what should have been visible from the outside.