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Chinese Metaverse Stock Screen Using a Long-Term Average and Trading-Rank Listing

Article SuperMind

Summary

This stock-selection screen combines three conditions: membership in the metaverse theme, a prior-day close above the 250-day moving average, and an appearance on the previous day’s trading-rank list. The stated rationale is to focus on a popular sector, require price to remain above a long-term reference, and use the listing as a clue about recent market attention or capital flows. The article includes formula and Python examples and describes excluding certain securities and sorting selected names by traded amount.

The examples are not fully consistent: the code uses money-flow data as a proxy for the listing condition, and the written discussion acknowledges that the screen is simple and may favor short-term themes. No backtest or performance evidence is reported. The article cautions that recent attention may distract from fundamentals, that the listing does not establish long-term value, and that narrow filters can omit otherwise attractive stocks. It suggests adding fundamental, industry, macroeconomic, and risk controls.

Key ideas

  • The screen selects metaverse-related stocks trading above their 250-day moving average.
  • It also requires a previous-day trading-rank listing as a sign of recent market attention.
  • The examples include additional security filters and rank candidates by traded amount.
  • The code’s money-flow proxy does not clearly match the stated listing condition.
  • The article warns that the screen lacks fundamental analysis and offers no performance validation.

Tags

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