Screening Metaverse Stocks by Institutional Flow and Recent Limit Moves

Summary

The document describes a Chinese stock selection approach that targets companies associated with the metaverse, requires a positive institutional-flow measure, and excludes stocks described as having hit the daily price limit on the prior day. The proposed rationale is to combine a thematic industry filter with an indication of institutional activity while avoiding candidates affected by a recent limit move. Formula and Python examples illustrate how the author attempts to assemble the filters.

The document notes that institutional activity does not reliably predict future price behavior and that excluding recent limit-up stocks may remove otherwise relevant candidates. It suggests adding fundamental measures and risk controls such as dynamic stops. The code examples use specific date and data-field choices, and the described limit-move condition is not clearly equivalent across the formula and Python implementation. No backtest or return evidence is given, so the rules should be viewed as an idea for further testing rather than a demonstrated strategy.

Key ideas

• The proposed screen focuses on metaverse-related equities with positive institutional-flow readings.
• It excludes stocks meeting a recent price-limit condition.
• Institutional activity may not predict future market movements.
• The exclusion rule can remove stocks that otherwise fit the selection criteria.
• The document offers no backtest evidence for the approach.

Tags

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