Skip to content
All library documents

Selecting a Stock’s Opening Price from a Recent Volume and Return Spike

Article BigQuant

Summary

The document describes a stock-selection research task: detect a recent unusual move, then retrieve that event day’s opening price for use in a later buy condition. The example defines an event as trading volume more than twice the previous comparison value together with a return above the stated threshold, then searches a recent ten-day window for the event date.

The author reports that passing the resulting time-series index directly as the shift amount fails, and that applying a floor operation to it also fails because the platform expects a scalar integer. The post is therefore a platform capability question, not a completed implementation or a tested strategy. It supplies no workaround, performance evidence, or discussion of how to handle multiple event days or no event in the lookback window.

Key ideas

  • The example flags a stock event using a volume increase and a sufficiently large return.
  • It then searches a recent window to identify when the event occurred.
  • The proposed retrieval of that day’s opening price fails because the shift operation rejects a series-valued offset.
  • The document reports a data-access limitation and provides no working solution or backtest.

Tags

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