Screening Metaverse Stocks by Turnover and Institutional Holdings

Summary

This stock selection example screens companies classified in the metaverse industry using two conditions: the previous day’s actual turnover rate must fall between 3% and 28%, and the institutional direction measure must be positive. The latter is represented as an increase in company holder-controller data compared with the prior observation. The post also provides example formula logic and a Python outline for assembling the industry, holdings, and turnover filters.

The document frames turnover as a possible sign of liquidity and market interest, and rising institutional holdings as a possible indicator of institutional favor. These are hypotheses, not demonstrated effects: it supplies no return analysis, benchmark comparison, or out-of-sample evidence. It notes exposure to market and industry risk, uncertainty in the institutional measure, and sensitivity to threshold choices. It suggests adding valuation metrics and reviewing signals across multiple dimensions, but does not test those refinements.

Key ideas

• The screen combines metaverse industry membership, prior-day turnover between 3% and 28%, and a positive institutional direction measure.
• Institutional direction is proxied by an increase in a holder-related data field.
• The post offers example formula and Python logic but no performance evaluation.
• The turnover and institutional conditions are imperfect proxies and may produce different selections when their rules change.
• Market and industry exposure remain material risks.

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