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Selecting Metaverse Stocks by Auction Value and Daily Range

Article SuperMind

Summary

This Chinese-language post proposes a stock screen for companies classified in the metaverse theme. It ranks candidates by the day’s auction amount, keeps the top five, and requires the high–low range to exceed one percent of the previous close. The author presents auction value as a way to avoid very thinly traded names and the range filter as a way to find more volatile stocks. The post also gives equivalent screening logic and a sample Python outline using market data tools.

The document cautions that a small shortlist may be arbitrary, that the selected stocks can be volatile, and that auction-value rank alone does not establish company value. It suggests broadening the sample, adding fundamental criteria, and combining other indicators. It supplies no backtest, portfolio rules, transaction-cost analysis, or evidence that the filters improve returns. The code is illustrative, and the strategy’s stated conditions should be evaluated against reliable data and a defined execution process before use.

Key ideas

  • The screen selects metaverse-themed stocks ranked among the top five by the day’s auction amount.
  • Candidates must also have a high–low range greater than one percent of the prior close.
  • The author treats auction amount as a liquidity filter and range as a volatility filter.
  • The post warns that a small selection may be arbitrary and that high volatility raises risk.
  • Fundamental filters and additional indicators are suggested, but no results are reported.

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