Metaverse Stock Screen Using Institutional Flows and Recent Limit-Ups

Summary

This Chinese A-share screening idea combines three filters: a metaverse industry classification, positive institutional flow, and more than two limit-up days within a ten-day window. It aims to identify thematically focused stocks with positive institutional activity and strong recent price action. The page outlines formula and data-query approaches, including a flow measure and rolling count of limit-up observations.

No backtest results, portfolio construction rules, or benchmark comparisons are provided. The discussion acknowledges that thematic concentration, imperfect flow data, and short-term price strength can fail to indicate durable prospects. The formula and sample implementation also use different thresholds for counting limit-ups, and the industry classification implementation is not clearly equivalent to the stated theme filter. These details make the example an initial screening specification rather than evidence of a reliable investment strategy.

Key ideas

• The screen requires metaverse classification, positive institutional flow, and more than two recent limit-up days.
• The proposed filters combine thematic selection, a flow signal, and short-term price momentum.
• The document recognizes risks from industry concentration, flow-data limitations, and reliance on recent strength.
• No performance evidence is supplied, and the formula and example implementation do not fully align.

Tags

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