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 |
|---|---|---|---|---|---|---|
| 17 | 4 | 4 | 0% (4) | -1.00 | -1.0R | |
| 0 | 0 | 0 | — | — | — | |
| 29 | 17 | 10 | 12% (17) +1 no-stop | 2.85 | 5.7R | |
| 61 | 27 | 21 | 15% (27) | 0.68 | 10.2R | |
| 3 | 2 | 0 | 0% (2) | — | — |
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.