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Selecting Metaverse Stocks by Auction Turnover and Prior Limit-Down Pricing

Article SuperMind

Summary

The document proposes a Chinese equity screen for the metaverse industry. It combines stocks ranked among the top five by current-day auction turnover with a prior-session condition described as the 9:15 matched price being at the daily limit down. It gives exchange and industry filters and a formula-style expression for the conditions, then includes a Python example intended to retrieve candidates and rank them. The accompanying rationale frames high auction activity as a sign of market interest and the prior limit-down condition as a possible source of undervaluation.

The post acknowledges that the screen omits fundamentals and market themes, may be disrupted by sudden events, and is sensitive to indicator choices. Its code example does not clearly implement the stated auction-turnover ranking: it filters daily prices and sorts by circulating market capitalization instead. No backtest results or evidence of undervaluation are supplied, so the strategy’s rationale and implementation require independent verification.

Key ideas

  • The proposed screen targets metaverse-related Chinese stocks using auction turnover and a prior limit-down condition.
  • The stated selection logic ranks by current-day auction turnover and applies a prior-session price test.
  • The included Python example appears to sort by circulating market capitalization rather than auction turnover.
  • The post flags missing fundamental and event analysis but gives no backtest evidence.

Tags

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