Selecting Metaverse Stocks by Price Trend and Institutional Ownership

Summary

This Chinese-language post describes an equity screen for stocks in a metaverse-related industry group. It requires the closing price to be above its five-day moving average and the combined holdings of the five largest institutions to exceed 70% of total shares, while limiting any single institution’s stake to below 20%. The stated aim is to combine a short-term price trend filter with institutional ownership concentration. The post gives formula references and an example workflow using market and shareholder data, though its sample Python logic uses a 60-day moving average, creating a mismatch with the stated five-day rule.

The author cautions that institutional buying does not guarantee future gains and that relying on ownership data can neglect company fundamentals. The screen may also produce a concentrated set of eligible stocks, increasing portfolio risk. Suggested improvements include adding fundamental, technical, growth, or industry factors and diversifying holdings. No historical performance evidence or backtest results are supplied, so the rules should be treated as a proposed screen rather than a validated strategy.

Key ideas

• The screen focuses on a metaverse industry group and requires price to exceed its five-day moving average.
• It uses combined top-five institutional ownership above 70% and a single-holder cap below 20%.
• The post’s sample Python workflow uses a 60-day moving average, which conflicts with the stated five-day condition.
• Institutional ownership is not a reliable standalone predictor of future price direction.
• The author recommends adding other selection factors and diversifying to address concentration risk.

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