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Screening Metaverse Stocks by Auction Value and Turnover

Article SuperMind

Summary

This document outlines a Chinese equity screening rule for stocks classified in the metaverse industry. It ranks candidates by the day’s auction amount, keeps the top five, and requires turnover to fall between 3% and 12%. The rationale is that high auction value may indicate relative market interest and the turnover range may identify active shares. The article also gives formula-style and Python examples for expressing the filters and describes Shanghai- or Shenzhen-listed stocks as the universe.

The author warns that price activity and turnover alone may mislead, that selected stocks can weaken in the short term, and that industry direction and company fundamentals matter. Suggested refinements include evaluating fundamentals, adding indicators such as KDJ, RSI, or moving averages, and adjusting turnover limits to suit the strategy. The document provides no backtest, return series, or evidence that the screen predicts gains. Its examples explain how to formulate the selection logic, but the selection criteria should be treated as a hypothesis requiring validation and broader risk assessment.

Key ideas

  • The rule selects metaverse-industry stocks ranked among the top five by daily auction amount.
  • Eligible stocks must have turnover between 3% and 12%.
  • The article treats auction activity and turnover as signs of interest and trading activity, not confirmed return predictors.
  • It recommends including fundamentals, industry analysis, and additional technical indicators.
  • No backtest or performance evidence is provided.

Tags

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