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Screen Metaverse Stocks by Turnover and Opening Price Near the Ten-Day Average

Article SuperMind

Summary

This Chinese A-share screening idea targets stocks in a metaverse category, with prior-day turnover above eight percent and an opening price within ten percent above or below the ten-day moving average. The article frames the conditions as a combination of market-theme exposure, trading activity, and a short-term price trend. It includes example formula logic and Python-style code for identifying candidates.

No historical results, portfolio rules, or trade exits are reported, so the screen is not evidence of a profitable strategy. The article acknowledges that themes and investor sentiment can change quickly and that turnover and a moving-average comparison may be insufficient alone. It suggests adding valuation, relative strength, and fundamental data, or developing a model from historical data. The code example’s data alignment and its final selection of a fraction of candidates are not explained well enough to establish a reproducible ranking or backtest.

Key ideas

  • The screen combines metaverse category membership, prior-day turnover above eight percent, and an opening price near the ten-day average.
  • The moving-average band is set within ten percent of the average.
  • The article provides illustrative formula logic and code but no performance results.
  • Theme exposure and investor sentiment can change, limiting the stability of the screen.
  • Valuation, relative strength, and fundamentals are suggested as possible additions.

Tags

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