A-Share Screen for Metaverse Stocks Using Float and Large-Order Flow

Summary

The proposed A-share screen selects stocks classified in the metaverse industry with circulating share capital no greater than 5.5 billion shares, then ranks candidates by the product of percentage price change and net volume from exceptionally large orders. The article frames price movement and large-order flow as short-term measures of market sentiment and institutional activity. It also gives a Python-style workflow that filters the universe and sorts candidates by this product.

The article cautions that the approach depends on market enthusiasm and large-investor flows, which can reverse, and that a limited eligible universe may concentrate holdings and increase risk. It suggests adding measures such as industry leaders and popular themes, alongside broader industry and fundamental analysis. No backtest, return figures, or validation of the ranking rule is supplied, and the source’s field definitions and units are not clarified, so the screen should be treated as a selection idea rather than evidence of an effective strategy.

Key ideas

• The screen restricts candidates to metaverse-industry A-shares with a circulating float at or below 5.5 billion shares.
• It ranks eligible stocks by multiplying price change by net flow from exceptionally large orders.
• The article interprets the inputs as indicators of short-term sentiment and large-investor activity.
• It warns that flow reversals and a narrow eligible universe can raise risk and concentration.
• No backtest or evidence of strategy performance is reported.

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