Selecting Metaverse Stocks by Prior-Day Turnover and Price Range

Summary

This stock-screening example combines membership in the metaverse theme with two prior-day activity filters: turnover above 8% and a high-to-low price range greater than 1%. It presents the rule in both indicator-formula terms and a Python workflow that retrieves themed Chinese A-share listings, loads daily prices, checks the previous trading day, and collects symbols that meet both thresholds. The approach is intended to focus on actively traded stocks with notable intraday movement.

The document offers no backtest, performance figures, or comparison with a benchmark, so it does not establish that the screen improves returns. It warns that theme popularity and capital flows can make signals unstable and produce false positives, while the screen ignores company fundamentals and industry effects. The formula also includes a year restriction, and the sample code depends on external market-data functions and a particular interpretation of the previous daily bar; these details limit how directly the example can be reused.

Key ideas

• The screen requires a stock to belong to the metaverse theme and meet both activity thresholds.
• The turnover and price-range conditions are evaluated using the prior trading day.
• A Python example applies the filters to daily Chinese A-share market data.
• Theme-driven flows can make the signals unstable, and the rules do not assess company fundamentals.
• The example provides no evidence that the screen is profitable or robust.

Tags

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