Bots Signals Positions Hot Markets Retro Whales Evaluations Concentration Rule Optim Live Rules Change Log Walk-Fwd Follow/Fade

WHALE TRACKER · TERM disconnected renders 0 · — ws writes · —

Total P&L—all-time, paper
Unrealized—open positions
Realized—closed trades
Open Bets—live count
Deployed—capital in market
Stake at Risk—if every SL hits
Max Upside—if every TP hits
Largest / Avg—open position $
Win Rate——
Last activity—since open · close

Bots — per-strategy status (live)

P&L by source (roll-up across all paper trades)

Cum P&L closed/src

Running bets live · entry · why · price chart

System

Signal feed with decision reasoning (last 2h · OPENED=bot acted · SKIPPED=bot passed)

timetierwhalesidepriceusd marketdecisionreason / detail

Insider arguing — why we trust these tiers

nametierlifetime P&LWR%last seen

Classifier state (rules.json)

classactiverulendaily%WR%

Open positions

openedsrctierwhaleside entrymarksizeP&Lexitmarket

Live activity feed ●

Recent closes

closedsrcsidewhaleentryexit P&Lreasonmarket

Hot markets — ≥2 distinct whales converging on the same side, last 6h

marketsidewhalestrades total $whale nameslast signal

Tier efficacy — +1h post-signal drift (predictive power)

tiernavg %% favorable

Tier efficacy — +24h post-signal drift

tiernavg %% favorable

Signal velocity — count per tier in the last hour

Paper P&L by tier — which whale class actually pays?

tiernopenW/LWR net P&Lavg %

Per-whale P&L leaderboard — top 20 copied wallets

tierwhalenW/LWRnet P&L

Whale evaluations — full data-api analysis (top 12 by topical $)

tierwhaletradesmarkets total $topical $topical % big buyslargestfingerprintevaluated

Drift-bot concentration — open positions per market_class (cap-per-class watchdog)

Retro rule optimizer — per-tier best TP/SL bracket vs current (replay of signal trajectories)

tiern current TP/SLcurrent EV best TP/SLbest EVbest WR Δ EVverdict

Live tier rules — what auto_go is using right now

generated_at: —
tieractionTP%SL%size EV%nreason

Rule change log — last 20 updates · self-optimizing loop

Strategy explorer — FOLLOW vs FADE walk-forward · refutes/confirms the "tier is INVERSE" hypothesis

tiern FOLLOW OOS%FADE OOS%Δ (fade-follow) recommendationconfidence

Walk-forward validation — IS train, OOS test · proves edge isn't curve-fit · baseline = static 3/6% bracket

tierfoldstrain nOOS n IS EV%OOS EV%overfit ratio baseline OOS%edge vs baselineverdict
WS push: snapshot every 5s + live whale:events + whale:autopaper stream events. WS engine writes: — · book keys live: —