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Historical analogs

Similar setups to $OLLIE

Past moments, on any token in this dataset, whose scores and market context looked most like this token's latest snapshot — and what happened in the 24 hours after. Statistical context, not a promise.

Live
Similar setups
16
of 675 eligible snapshots
Median 24h
+4.3%
follow-through after the setup
Worst 24h drawdown
-78.0%
deepest intraday fall
Positive after 24h
50%
N = 16
ConfidenceConfidence: MEDIUM16 similar setups · 24h outcomes resolved before 2026-10-11 18:45 UTC · 2026-10-10 → 2026-10-10

24h return after similar setups

N = 16 · Positive after 24h 50% (95% CI 28–72%)

Small sample — treat as anecdotal
Median
+4.3%
CI -45.8% … +34.5%
Trimmed mean
+2.3%
10% each side
Mean
+1.8%
σ 45.2%
Range
-72.5% … +69.8%
24h return after similar setups histogram16 samples in 6 bins from -72.5% to +69.8%.median-72.5%+69.8%0%-50%+50%
24h return after similar setups box plotMedian +4.3%, interquartile range -46.1% to +30.5%, whiskers -72.5% to +69.8%, 0 outliers (min -72.5%, max +69.8%).-72.5%+69.8%+4.3%
p5
-54.1%
p10
-47.6%
p25
-46.1%
p50
+4.3%
p75
+30.5%
p90
+61.2%
p95
+65.5%

This setup now

Snapshot 2026-10-11 18:45 UTC — the vector being matched

Momentum
—
Crowding
—
Early Quality
—
Narrative Velocity
69
Price change 1h
—
Volume acceleration
-98.5%
Liquidity
$10.1K

Features that are missing right now (for example no market data) are left out of the distance rather than guessed; 3 of 7 features were comparable.

Matched historical setups

  • $FACTORY2026-10-10 18:00 UTC
    Similarity
    46%
    24h return
    -47.2%
    Max drawdown 24h
    -57.8%
  • $FACTORY2026-10-10 17:00 UTC
    Similarity
    30%
    24h return
    -72.5%
    Max drawdown 24h
    -78.0%
  • $TM2026-10-10 18:00 UTC
    Similarity
    29%
    24h return
    +69.8%
    Max drawdown 24h
    -13.5%
  • $MALFOID2026-10-10 18:00 UTC
    Similarity
    25%
    24h return
    +17.5%
    Max drawdown 24h
    -20.5%
  • $FACTORY2026-10-10 16:00 UTC
    Similarity
    23%
    24h return
    -46.9%
    Max drawdown 24h
    -57.6%
  • $MALFOID2026-10-10 17:00 UTC
    Similarity
    21%
    24h return
    +26.3%
    Max drawdown 24h
    -14.5%
  • $OMNI2026-10-10 18:00 UTC
    Similarity
    19%
    24h return
    -45.8%
    Max drawdown 24h
    -47.9%
  • $MALFOID2026-10-10 16:00 UTC
    Similarity
    16%
    24h return
    +18.7%
    Max drawdown 24h
    -19.7%
  • $KNIGHTCAT2026-10-10 18:00 UTC
    Similarity
    13%
    24h return
    -11.5%
    Max drawdown 24h
    -28.9%
  • $SIB2026-10-10 15:00 UTC
    Similarity
    12%
    24h return
    +43.3%
    Max drawdown 24h
    -40.6%
  • $KNIGHTCAT2026-10-10 17:00 UTC
    Similarity
    10%
    24h return
    -8.9%
    Max drawdown 24h
    -26.8%
  • $TM2026-10-10 16:00 UTC
    Similarity
    9%
    24h return
    +58.3%
    Max drawdown 24h
    -38.4%
  • $OMNI2026-10-10 17:00 UTC
    Similarity
    8%
    24h return
    -48.0%
    Max drawdown 24h
    -50.0%
  • $KNIGHTCAT2026-10-10 16:00 UTC
    Similarity
    6%
    24h return
    -13.3%
    Max drawdown 24h
    -30.4%
  • $TWEETCRAFT2026-10-10 18:00 UTC
    Similarity
    5%
    24h return
    +25.7%
    Max drawdown 24h
    -62.2%
  • $TM2026-10-10 17:00 UTC
    Similarity
    2%
    24h return
    +64.0%
    Max drawdown 24h
    -21.7%

Method & point-in-time rules

analog-v1.0

  • Distance: Euclidean over z-scored features (Momentum, Crowding, Early Quality, Narrative Velocity, Price change 1h, Volume acceleration, Liquidity), z-scored across the eligible candidate set; nearest 40 within a distance of 2.5. Similarity = 1 − distance / 2.5.
  • Candidates are hourly score snapshots whose 24h outcome had resolved strictly before this snapshot (2026-10-11 18:45 UTC): nothing that happened afterwards is used. Snapshots of $OLLIE within ±24h are excluded.
  • Considered 7,048 resolved snapshots · 675 had every comparable feature · 0 excluded as the same token nearby · 0 rejected as not yet resolved.
  • Dead tokens stay in the candidate set, so outcomes include collapses (survivorship-safe). Returns are measured from the first price at or after each snapshot.

FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.