Event: 40+ unique authors in 24h
What happens when attention gets broad?
Detected on point-in-time snapshots; outcomes from the first price at or after each event. At most one event per token per 24h.
Live
- Samples
- 2
- Median 1h
- -2.6%
- Median 24h
- +2.5%
- Median max DD 24h
- -9.8%
- Positive after 24h
- 50%
Confidence: Insufficient data2 events with 24h outcomes · 1 token · 2026-10-08 → 2026-10-11computed 49m ago · backtest-v1.0
Definition
Rules evaluated on every snapshot (values as they were at that time).
WHENUnique authors 24h ≥ 40
- Horizons: 1h, 6h, 24h, 3d · cooldown 24h per token.
- Dead tokens are included and valued at their last observed price.
- Events: 3 detected · 1 too recent for 24h · 0 without a price · 0 on tokens that died within 24h.
Caveats
Read these before the numbers.
- Small sample (N=2) — treat as anecdotal
- 100% of events come from 1 token
- Short history (3.0 days of snapshots)
- 1 event too recent to resolve (horizon ends after now) — excluded from statistics
- Events overlap in time across tokens (market-wide moves affect many at once), so samples are not fully independent.
- Crypto returns are heavily skewed: read the median and the distribution, not the mean.
- Past outcomes after similar events describe history; they do not predict the next one.
Outcomes by horizon
Returns and the deepest drawdown before each horizon. Select a horizon to switch the distributions below.
Distributions after the event at
Return after 24h
N = 2 · Positive after 24h 50% (95% CI 9–91%)
- Median
- +2.5%
- CI -6.9% … +11.9%
- Trimmed mean
- +2.5%
- 10% each side
- Mean
- +2.5%
- σ 13.3%
- Range
- -6.9% … +11.9%
- p5
- -6.0%
- p10
- -5.0%
- p25
- -2.2%
- p50
- +2.5%
- p75
- +7.2%
- p90
- +10.0%
- p95
- +11.0%
Max drawdown within 24h
N = 2
- Median
- -9.8%
- CI -12.0% … -7.7%
- Trimmed mean
- -9.8%
- 10% each side
- Mean
- -9.8%
- σ 3.1%
- Range
- -12.0% … -7.7%
- p5
- -11.8%
- p10
- -11.6%
- p25
- -10.9%
- p50
- -9.8%
- p75
- -8.8%
- p90
- -8.1%
- p95
- -7.9%
FomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.