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Metaverse Stocks with High Auction Value and Seven Down Days

Article SuperMind

Summary

This stock-screening idea targets shares in the metaverse industry, ranks them by the day’s opening auction amount, and selects the top five that have closed lower for seven consecutive sessions. The document expresses the down-day condition as a configurable run of consecutive closes below the prior close and gives example screening formulas and implementation code. It describes the ranking and filters, but provides no backtest, return data, or evidence that the combination predicts gains.

The author cautions that relying on price action alone can miss company fundamentals, industry conditions, and capital flows. The proposed improvements include adding fundamental and funding-related criteria and choosing the consecutive-day threshold based on historical behavior. The examples have limitations: the code’s data handling and ranking fields are not fully aligned with the stated auction-value screen, and the article does not explain how to trade or manage risk after selection. Treat it as a screening sketch that requires validation and implementation checks.

Key ideas

  • The screen focuses on metaverse-industry stocks and ranks candidates by opening auction amount.
  • It selects up to five stocks that meet a consecutive declining-close condition.
  • The consecutive-day threshold is presented as configurable, with seven as the example.
  • The article recommends adding fundamental and market-context filters before relying on the screen.
  • No performance evidence is supplied, and the example implementation needs validation.

Tags

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