Screening Metaverse Stocks by Turnover and 10-Day Momentum

Summary

This note presents a Chinese A-share screen for stocks associated with the metaverse theme. Its initial description combines turnover above 8% on the previous day with a positive, capped 10-day return. The final proposed screen adds a market-cap ranking filter, while the accompanying indicator formula expresses the theme, turnover, and return conditions. A Python example outlines sector-based stock selection and market-value sorting.

The rationale is to capture thematic interest, trading activity, and recent price strength. The note warns that sentiment and short-term returns can be unreliable, and that stocks near either return boundary may face downside or selling pressure. It suggests adding longer-horizon price history, technical and fundamental measures, market-cap constraints, and profitability checks. The code and rationale are illustrative: the document supplies no backtest, returns, or evidence that the filter predicts future performance, and its descriptions of the final market-cap cutoff are not fully consistent.

Key ideas

• The screen targets metaverse-linked A-shares with elevated previous-day turnover and positive 10-day returns.
• The final selection description adds a market-cap ranking condition, though the text is not fully consistent about its cutoff.
• The provided formula and Python example describe implementation, not verified performance.
• The note cautions against relying on short-term returns and market sentiment alone.
• Longer-term price history, fundamentals, and profitability measures are suggested as additional filters.

Tags

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