Telegram trading channels,
graded against real price action.
We capture every post from 5 trading channels, extract the trade calls with an LLM, then mark each one to market: did the target hit, or the stop? No cherry-picked screenshots — the receipts.
Channel track records
| Channel | Calls | Scored | Open | Hit rate | Avg R | Total R |
|---|---|---|---|---|---|---|
| 159 | 104 | 4 | 31% (104) +17 no-stop | 1.04 | 41.6R | |
| 0 | 0 | 0 | — | — | — | |
| 287 | 236 | 10 | 24% (236) +33 no-stop | 1.16 | 63.7R | |
| 155 | 86 | 21 | 9% (86) +2 no-stop | 0.93 | 30.6R | |
| 123 | 98 | 0 | 13% (98) +3 no-stop | -0.12 | -3.3R |
Hit rate counts target hits vs stops/expiries. Avg/Total R only exist for calls that stated a stop loss — many Telegram calls don't, and we won't invent one; those hits show as no-stop next to the hit rate. The page opens on the last 30 days; pick a pill for a longer window. Spans count calls by issue date; still-open calls show under Open. Calls whose extracted levels are geometrically impossible (a target on the wrong side of entry, a stop on the profit side) are dropped as unscored rather than booked as wins.
🔒 The stats above are real; channel identities are members-only. Sign in or redeem an invite to reveal who's who.
Latest calls
How it works
Every post from each tracked channel is stored verbatim, including the text of linked X/Twitter posts.
An LLM pulls out symbol, direction, entry/zone, targets, stop and invalidation levels — or marks the post as chatter.
Every 15 minutes open calls are marked against real candles (Binance / Yahoo Finance). Stops count before targets in the same candle.