Metaverse Stock Screen Using Turnover, Trading Value, Valuation, and Momentum

Summary

This article outlines a China A-share screen for metaverse-sector stocks. Its initial conditions are prior-day turnover above 8% and trading value above 60 million yuan. The refined selection logic also requires a price-to-earnings ratio below 20 and a ranking in the top 30% for returns over the prior 30 days. Indicator definitions and sample Python code are included to show how sector membership, valuation, turnover, trading value, and return ranking might be combined.

The author notes that the original liquidity-focused screen is narrow and can expose investors to sharp losses during unusual market moves or policy changes. Fundamental quality is not fully assessed, and the proposed valuation measure in the sample implementation may not match a standard price-to-earnings calculation. The note recommends considering a broader set of factors, but supplies no backtest, performance results, or evidence that these thresholds are predictive.

Key ideas

• The initial screen selects metaverse stocks with prior-day turnover above 8% and trading value exceeding 60 million yuan.
• The refined screen adds a price-to-earnings ceiling of 20 and a top-30% ranking by recent 30-day returns.
• The article identifies market shocks, policy changes, and incomplete fundamental analysis as risks.
• It suggests a multi-factor approach but provides no performance test or validation of the chosen thresholds.

Tags

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