Real-time monitor for the smart-wallet signal end to end: the raw live watcher feed, and the pre-registered paper strategy testing whether an outside trader can profit from it. Judged by a frozen rule: after 7 real trading days, an arm needs a positive daily gap vs its control arm on ≥5 of those days AND a positive absolute average EV. No mid-run parameter changes, no re-picking after the fact.
A process showing "online" is not proof it's working — a silent connection-rejection loop can run for hours without crashing. This checks real recent data instead of trusting status alone.
The raw signal everything below is built on: 439 wallets watched live (kolscan.io's real top-trader leaderboard + an internally-derived causally-profitable set, cross-referenced and deduplicated), tracked for new buys via RPC polling. Verified causal and real — 92.7% of graduated tokens with 2+ watched early buyers had their earliest watched buy strictly before graduation, 6.9x–16x graduation-rate lift vs baseline.
| Mint | Distinct wallets | Last buy |
|---|---|---|
| — | ||
| Time | Wallet | Source | Mint | SOL |
|---|---|---|---|---|
| — | ||||
Does buying a token right after N distinct "smart wallets" (kolscan.io's real leaderboard + an internally causally-profitable set) converge on it, before graduation, actually work for an outside trader? The wallets' own early positioning was independently verified — 92.7% causal ordering, 6.9x–16x graduation-rate lift — this tests whether that translates into a fillable, profitable entry.
LOADING| Arm | Trades | Win rate | Avg P&L | Gap vs control | Gap days (+/judged) | Qualifies |
|---|---|---|---|---|---|---|
| — | ||||||
| Time | Symbol | Arm | Exit | Hold | P&L SOL |
|---|---|---|---|---|---|
| no trades yet | |||||