Historical analogs
Similar setups to $PONGO
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
1
of 802 eligible snapshots
Median 24h
-1.7%
follow-through after the setup
Worst 24h drawdown
-1.7%
deepest intraday fall
Positive after 24h
0%
N = 1
ConfidenceConfidence: LOW1 similar setup · 24h outcomes resolved before 2026-10-11 19:53 UTC · 2026-10-10 → 2026-10-10
24h return after similar setups
N = 1 · Positive after 24h 0% (95% CI 0–79%)
- Median
- -1.7%
- Trimmed mean
- -1.7%
- 10% each side
- Mean
- -1.7%
- Range
- -1.7% … -1.7%
- p5
- -1.7%
- p10
- -1.7%
- p25
- -1.7%
- p50
- -1.7%
- p75
- -1.7%
- p90
- -1.7%
- p95
- -1.7%
This setup now
Snapshot 2026-10-11 19:53 UTC — the vector being matched
- Momentum
- —
- Crowding
- —
- Early Quality
- —
- Narrative Velocity
- 72
- Price change 1h
- +10.1%
- Volume acceleration
- +546%
- Liquidity
- $108.3K
Features that are missing right now (for example no market data) are left out of the distance rather than guessed; 4 of 7 features were comparable.
Matched historical setups
- $MICHI2026-10-10 17:00 UTC
- Similarity
- 43%
- 24h return
- -1.7%
- Max drawdown 24h
- -1.7%
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 19:53 UTC): nothing that happened afterwards is used. Snapshots of $PONGO within ±24h are excluded.
- Considered 7,250 resolved snapshots · 802 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.