Screening Metaverse Stocks by Recent Trading-List Appearance and Rising Average

Summary

This Chinese-language post outlines a screen for mainland Chinese equities in the metaverse theme. It selects stocks reported on the previous day’s trading list and requires the 30-day moving average to be rising versus its prior value. The post also sketches ways to express the conditions in stock-screening software and Python, using market data sources to identify industry membership, trading-list appearances, and price history.

The article explains that the moving average reflects recent past prices and may not capture current market conditions. It describes the screening logic as simple and suggests adding other technical measures or fundamental data, but supplies no backtest results or evidence that the criteria predict returns. The Python example’s price comparison is not the same as directly checking whether the 30-day moving average rose, so an implementation would need to be checked against the stated rule. Data coverage, timing, and error handling are also relevant practical limits.

Key ideas

• The screen combines metaverse industry membership with a prior-day trading-list appearance.
• It requires the 30-day moving average to rise relative to its previous value.
• The post offers stock-screening and Python implementation examples.
• The author notes that a moving average only summarizes historical prices and that the screen omits other relevant information.
• The post provides no performance test, and its Python price comparison may not implement the moving-average condition exactly.

Tags

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