Metaverse Stock Screen Using Float Size, Volume, and Rising Moving Averages

Summary

This proposed A-share screen targets metaverse-related stocks with a circulating share count no greater than 5.5 billion and an upward-spreading set of moving averages. The article’s example rules add price, volume, and return conditions: price is constrained relative to a moving average, volume must exceed recent averages within specified bounds, and several moving averages are required to be rising. The aim is to identify stocks with a strong short-term trend and trading activity.

The source cautions that a rising daily pattern can be mistaken for a durable trend and that technical filters may overlook business fundamentals. It recommends considering financial data, trading volume, market value, and policy conditions together. Although it includes sample formulas and code, it reports no backtest or return evidence. The examples also contain mismatches between the stated share-float filter and the code’s data field, and between labels and calculated moving averages, so the implementation would need verification before use.

Key ideas

• The screen focuses on metaverse stocks with circulating shares capped at 5.5 billion.
• Its example adds price, volume, and return filters alongside rising moving averages.
• The article warns that daily trend signals can be short-lived and that technical screening can omit fundamentals.
• The sample implementation has field and indicator inconsistencies, and no performance results are 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.