Broad attention on $CATE
Many independent authors are posting; attention is not concentrated in a few accounts.
- Fired
- 2026-10-09 04:30 UTC · 2d ago
- Ended
- 2026-10-09 05:30 UTC
- Rule
- broad_attention@1.0
- Strength
- 0.31
Why it fired
Neutral facts at fire time
- 81 unique authors in 24h
- crowding low (18)
- momentum 84
Scores and features as of 2026-10-09 04:30 UTC (features-v1.0) — only data available at that time.
Conditions
Each threshold of the versioned rule vs the actual value when it fired
- Unique authors 24h
- Threshold
- >= 80
- Actual at fire
- 81
- Passed
- yes
- Crowding
- Threshold
- < 22
- Actual at fire
- 18
- Passed
- yes
- Momentum
- Threshold
- > 70
- Actual at fire
- 84
- Passed
- yes
Historical analogs
Earlier firings of broad_attention@1.0 on any token in this dataset whose 24h outcome had resolved before this one fired. Statistical context, not a promise.
No resolved analogs yet
This firing, 24h later
Resolved outcome (measured from the first price at or after the firing)
Previous firings on $CATE
Same rule, same token, before this firing
This is the first time broad attention fired on $CATE in this dataset.
Rule broad_attention@1.0
Broad attention
Many independent authors are posting; attention is not concentrated in a few accounts. Fires when Unique authors 24h ≥ 80 AND Crowding < 22 AND Momentum > 70.
Inputs
- Unique authors 24h — Unique authors 24h ≥ 80.
- Crowding — Crowding < 22.
- Momentum — Momentum > 70.
Limitations
- Fomo activity is a sample of social attention; a signal describes what the network is doing, not what price will do.
- Signals are statistical context, not a promise — historical analog statistics are attached at fire time with their sample size.
- Breadth counts accounts, and related accounts cannot be detected from public activity.
Fires or does not fire. Strength 0–1 = average margin beyond each threshold (0 = just passing, 1 = far beyond). A signal inherits the confidence of the scores it reads (shown on each score). At fire time it carries historical analog statistics — earlier firings of the same rule whose 24h outcome had resolved — with N, median 24h return, worst 24h drawdown and a confidence level (N < 10 LOW, < 30 MEDIUM, else HIGH).
All signal definitionsFomoQuant provides analytics and historical/statistical context, not financial advice or guaranteed predictions.