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Screening Metaverse Stocks by Auction Value and 2019 Dividends

Article SuperMind

Summary

This stock-selection method looks within China’s metaverse sector for shares ranking among the top five by the day’s auction value, then filters for a 2019 stock-dividend ratio above 25%. The document gives screening logic and example implementations for two platforms. Its explanation treats auction activity as a sign of market performance and the dividend filter as a way to consider company distributions and management policy.

The post warns that prioritizing dividends can overlook long-term growth, dividend data may be inaccurate or manipulated, and sector choices remain exposed to broader market conditions. It suggests checking company financials and performance more broadly, validating dividend and financial data, and adding market-wide risk controls. No performance results or evidence of predictive value are supplied, and the Python example’s sorting uses circulating market capitalization rather than the stated daily auction value, so the implementation does not fully match the described screen.

Key ideas

  • The screen targets metaverse-sector stocks on Chinese exchanges.
  • It selects the top five by daily auction value and applies a 2019 stock-dividend ratio threshold above 25%.
  • The post presents the dividend filter as a way to incorporate corporate distribution policy.
  • It cautions that dividend data, sector exposure, and the omission of growth fundamentals can weaken the screen.
  • The example Python ranking uses circulating market capitalization, which differs from the stated auction-value ranking.

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