Definition
#Measures the rarity of the current total number of executions in the active rolling window relative to its historical baseline.
Formula & calculation
#(Live Mean Total Trades - Historical Mean Total Trades) / Historical StdDev Total TradesUnits & range
Z.
Interpretation
#Statistically more executions than normal. The frequency of trades is elevated. The key diagnostic question: is volume also elevated, or just count? Count z high with flat volume z means many small orders; both elevated together means genuine participation expansion.
Practical usage
#Points to windows where execution frequency is statistically elevated: more trades, not necessarily bigger ones. Pair with Total Volume Z-Score: count z high and volume z low means fragmented activity. Both elevated together is the stronger participation signal.
Common mistakes
#Frequent interpretation traps and misuse patterns to avoid when applying this metric.
- Equating more trades with larger trades.
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.