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Metaverse Stock Screen Using Turnover and Recent Price Gains

Article SuperMind

Summary

This Chinese-language post describes screening stocks in the Metaverse category using turnover and recent price movement. Its initial rule combines yesterday’s turnover above 8% with a prior-day actual-turnover range from 3% to 28%. The post later revises the final rule to use the current day’s actual price gain, requiring a rise greater than 3% and no more than 28%, alongside the category and turnover condition. It includes formula and Python-style examples for applying the screen.

The post says the approach emphasizes turnover and may overlook other technical and fundamental information, creating a risk of overfitting. It also flags possible lag or inaccuracy in prior-day actual-turnover data and suggests adding measures such as company size or profitability and using more timely turnover data. No backtest, performance results, or evidence that the selected stocks have predictive value is supplied. The shift from prior-day turnover to a current-day price-change test also makes the final rule differ from the initial description.

Key ideas

  • The screen focuses on stocks classified in the Metaverse category.
  • It combines a turnover threshold with a bounded recent price-change condition.
  • The post’s final rule differs from its initial description of prior-day actual turnover.
  • The author warns that turnover-focused screening can overfit and omit fundamental information.
  • No test results are provided to show whether the rule predicts returns.

Tags

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