🧬 Creator Intel β€” trade the who, not the when

Launches from creators with a prior graduation (the cohort) vs an identical strategy on a 1-in-8 random sample of everyone else (the control). Same entry rule, same honest execution engine, same market minute β€” the only difference is who deployed the token. Validated on 148k archived launches: cohort tokens pump 38% vs 22% baseline, and the trade-level gap was positive on 13 of 14 days. Judged ONLY on the daily gap β€” paper P&L magnitudes are known upper bounds.

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βš– The gap (cohort βˆ’ control, avg %/trade)
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Validation benchmark: +6.3pp mean, positive 13/14 archived days.
This number staying positive is the entire thesis.
🧬 Cohort (prior-grad creators)
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Trades
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Win rate
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TP exits
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P&L (paper)
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🎲 Control (random sample)
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Trades
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Win rate
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TP exits
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P&L (paper)
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🏁 Arm leaderboard β€” every arm vs the shared control (pre-registered 07-19, judged on worst-day gap after 7 days)
ArmTradesWRAvg/tradeP&L SOLGap vs controlGap days +
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πŸ’° Running P&L (paper SOL, engine v3 reality-calibrated)
Cohort
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Control
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Exit prices are sampled from 869 real live trades β€” no lookahead fantasy. Still paper: judge the gap, not the totals.
cohort control
🚦 Decision gate β€” gap positive on β‰₯5 of the first 7 judged days
Waiting for the first judged day (needs β‰₯10 cohort and β‰₯20 control trades in a day)…
DayCohort nCohort avgControl nControl avgGapVerdict
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πŸ“œ Recent trades (both arms)
TimeSymbolArmCreator history Entry vsolExit vsolExitHoldP&L %
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