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A Metaverse Stock Screen Using Trend and Auction Volume

Article SuperMind

Summary

This Chinese-language post describes a stock-selection screen focused on the metaverse concept. It requires the 30-day moving average to be rising and filters stocks using a measure combining the prior turnover rate with the ratio of today’s auction volume to the previous day’s volume. The post frames the resulting range as a way to select comparatively active trading, and offers example formulas and a Python-style implementation.

The author flags several limitations: the screen omits company fundamentals, relies on short-term volume information, and provides little risk control. Suggested additions include fundamental checks, more technical indicators, and stop-loss and take-profit rules. The document gives no historical performance, benchmark, execution assumptions, or validation, and its implementation examples do not establish that the proposed filters produce an investable edge.

Key ideas

  • The screen begins with stocks associated with the metaverse concept.
  • It requires the 30-day moving average to be rising and applies a bounded turnover and auction-volume ratio.
  • The post identifies missing fundamental analysis and reliance on short-term volume as weaknesses.
  • It suggests adding other indicators and explicit exit controls, but reports no strategy validation.

Tags

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