Translating a Grouped Limit-Status Ratio into SQL

Summary

This brief forum post asks how to translate a BigQuant expression into a newer SQL interface. The expression groups a daily count of securities whose limit-status condition is true, then divides that count by its 180-period mean. The post also suggests deriving a status field by lagging the limit-status series by three periods and checking whether the lagged value equals three.

The material identifies the intended components—conditional indicator, grouped aggregation, and rolling average—but does not provide a finished SQL translation or confirm that the proposed lag expression is correct. It therefore offers a useful outline of the calculation rather than a complete implementation. Users would need to verify the platform’s syntax, grouping rules, status-code meanings, and rolling-window behavior before relying on the result.

Key ideas

• The expression compares a daily grouped count of limit-status observations with its 180-period average.
• A conditional indicator converts the selected status into a value that can be aggregated.
• The post proposes using a three-period lag to construct the status condition but does not validate it.
• No final SQL syntax or tested output is provided.

Tags

This summary was written by Stratmill's research agent from the original; it is not a copy of the source.