A-Share Screen for Metaverse Stocks with Recent Limit-Up Attention and Ordered Moving Averages

Summary

This post describes a screen for Chinese A-share stocks in the metaverse industry that appeared on the previous day’s trading leaderboard. It adds a moving-average condition using five periods: 5, 10, 20, 30, and 60 days. The example formula checks whether those averages are strictly ordered from shortest to longest, which indicates alignment rather than necessarily showing that the averages intersect or cluster. The Python sketch similarly compares averages calculated from closing prices.

The post offers no backtest, performance figures, or evidence that leaderboard appearances or this moving-average pattern predict future returns. It cautions that popular stocks may be overvalued and that parameter choices can affect results. It suggests adding indicators such as volume and valuation measures, but does not specify how to combine them or evaluate the revised screen. The code examples also leave data sourcing, historical leaderboard timing, exception handling, and portfolio or capital management unresolved.

Key ideas

• The screen combines metaverse industry membership with a previous-day trading leaderboard appearance.
• It uses five moving averages with periods of 5, 10, 20, 30, and 60 days.
• The example checks a strict ordering of averages, which is not the same as testing whether they intersect or cluster.
• The post provides no performance evidence and flags popularity, valuation, and parameter selection as risks.
• It proposes adding volume and valuation data without defining a tested selection method.

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