Screening Metaverse Stocks by Float Size and Institutional Buying

Summary

This proposed Chinese A-share screen selects companies in the metaverse industry with a circulating share count no greater than 5.5 billion and a positive institutional net-buy rate over the previous month. The article describes institutional buying as a possible sign of interest in stocks perceived to be undervalued, and frames the screen for medium- to long-term investing. It provides a Python example that filters stock data by float size, industry, and institutional buying.

The screen is a simple combination of an industry classification, a size threshold, and a proxy for institutional accumulation; the article reports no backtest or performance evidence. It cautions that institutions can misjudge market bottoms and that buying signals may reflect noise or news. The rules omit fundamental measures such as revenue and valuation, so the selected shares are not established as attractive investments. The article suggests combining the screen with sentiment, news, or valuation measures, but does not specify how to apply or test those additions.

Key ideas

• The screen combines metaverse industry membership with a circulating-share limit of 5.5 billion.
• It uses a positive institutional net-buy rate over the previous month as a buying signal.
• The article presents no backtest or evidence that the screen produces excess returns.
• Institutional accumulation can be mistaken, and the screen omits fundamental valuation and business measures.

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