Definition
#Measures how the number of aggressive sell executions in the current rolling window compares with the historical average sell execution count.
Formula & calculation
#(Current Sell Trade Count / Historical Avg Sell Trade Count) × 100Units & range
%.
Interpretation
#More sell-side executions than usual are appearing in the window. Like the buy-side counterpart, frequency and size are different signals: elevated sell count without elevated sell size is fragmented activity, not distribution.
Practical usage
#Identifies windows where sell-side execution frequency is abnormally high. Read alongside Sell Trade Size Ratio: elevated count with flat size points to fragmented selling; count and size both elevated is the heavier distribution signal.
Common mistakes
#Frequent interpretation traps and misuse patterns to avoid when applying this metric.
- Ignoring whether increased sell count is matched by increased sell size.
Timeframe note
#This metric applies to rolling windows such as 5m, 15m, and 60m. The underlying definition stays the same; what changes is the time horizon used to measure it. Shorter windows react faster, while longer windows smooth noise and emphasize broader structure.
5m
Faster response to fresh changes in activity and short-horizon structure.
15m
Balanced view between responsiveness and persistence.
60m
Broader context that is slower but more stable.