Screening Metaverse Stocks Above the 250-Day Average

Summary

This A-share stock-selection rule targets companies in the metaverse theme whose prior-day price is above the 250-day moving average and whose actual turnover rate two days earlier falls between 3% and 28%. The theme filter selects a market segment, the long moving average is used as a trend or price-position condition, and the turnover band is intended to identify active stocks without exceptionally high turnover. The post provides formula and Python illustrations, but the examples do not consistently clarify how the timing of each condition is aligned.

The author identifies broad market volatility, potentially unreliable turnover readings, and misclassification from relying on a small set of indicators as risks. Suggested additions include MACD or RSI, company fundamentals, and a market-level trend filter. No backtest, selection statistics, or return evidence is reported, so the rule is an unvalidated screening proposal rather than demonstrated evidence of an edge.

Key ideas

• The screen selects metaverse-themed shares trading above their 250-day moving average.
• It requires actual turnover from two days earlier to be between 3% and 28%.
• The turnover band is intended to capture activity while excluding unusually high turnover.
• The author suggests adding technical indicators, fundamental measures, and a broad-market filter.
• No backtest or performance evidence is supplied, and the code examples leave timing details unclear.

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