Attention cooling on $CATE
Thesis activity is decelerating versus the prior window.
- Fired
- 2026-10-09 23:30 UTC · 2d ago
- Ended
- 2026-10-10 00:30 UTC
- Rule
- attention_cooling@1.0
- Strength
- 0.49
Why it fired
Neutral facts at fire time
- theses -88% vs the prior hour
- 25 theses in the prior hour
- momentum 21
Scores and features as of 2026-10-09 23:30 UTC (features-v1.0) — only data available at that time.
Conditions
Each threshold of the versioned rule vs the actual value when it fired
- Attention acceleration
- Threshold
- < -70%
- Actual at fire
- -88%
- Passed
- yes
- Theses in the prior hour
- Threshold
- >= 15
- Actual at fire
- 25
- Passed
- yes
- Momentum
- Threshold
- < 30
- Actual at fire
- 21
- Passed
- yes
Historical analogs
Earlier firings of attention_cooling@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 attention cooling fired on $CATE in this dataset.
Rule attention_cooling@1.0
Attention cooling
Thesis activity is decelerating versus the prior window. Fires when Attention acceleration < -0.7 AND Theses in the prior hour ≥ 15 AND Momentum < 30.
Inputs
- Attention acceleration — Attention acceleration < -0.7.
- Theses in the prior hour — Theses in the prior hour ≥ 15.
- Momentum — Momentum < 30.
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.
- Hour-on-hour comparisons are noisy for low-activity tokens; the prior hour must have at least 15 theses.
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.