Prior high-volume event count TPHV
T_PRIOR_HIGH_VOLUME_EVENT_COUNT | episodic volume | setup | ticker | candidate
Logic
count(volume[i] / avg_prior(volume, i, average_days) >= event_rvol_min for i in t-lookback_days:t-1) >= min_countEdge-
Samples0
Definition
Counts repeated abnormal-volume sessions before the current event as a causal accumulation-footprint proxy.
Logic Triples
No first-class ontology mapping yet. Showing fallback logic: count(volume[i] / avg_prior(volume, i, average_days) >= event_rvol_min for i in t-lookback_days:t-1) >= min_count
Strategies Using Atom
| Strategy | Family | Edge | Signals |
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