Intraday Volume Distribution Factors for Stock Selection

Summary

The document describes research that turns intraday stock volume data into factors for stock selection. It presents seven conventional volume distribution factors and six specialized ones. The methods include measuring minute volume through bucket entropy and extreme-volume distributions, then grouping intraday volume by closing price to study local and overall patterns in the resulting distribution.

The summary reports that the specialized factors showed strong stock-selection results, highlighting the average of maximum volume values as an example. It also describes correlation analysis and neutralization of four selected factors, with reported performance remaining strong after adjustment. These are claims summarized from a research report; the underlying report is linked but its methodology, sample period, costs, and detailed tests are not included in the document. The results therefore cannot be independently assessed from this page alone.

Key ideas

• The research constructs volume distribution factors from intraday minute data.
• Bucket entropy and extreme-volume measures capture different features of minute volume.
• Grouping intraday volume by closing price creates a distribution for local and overall analysis.
• The summary reports strong stock-selection results for specialized factors, including an extreme-volume average.
• Neutralization is applied to four selected factors, with strong performance reported afterward.

Tags

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