Skip to content
All library documents

Metaverse Stock Screen Using Turnover, a Weekly Moving Average, and Valuation

Article SuperMind

Summary

The document outlines a China A-share screening approach that selects companies in the metaverse theme with high turnover on the previous day and a weekly close crossing above its 30-week moving average. Its final stated criteria also require a price-to-earnings ratio below a specified ceiling. It gives indicator logic and a Python-style example that retrieves sector, quote, weekly price, and financial data before filtering candidates.

The proposed screen combines theme exposure, trading activity, a trend crossover, and valuation. The post cautions that the signal may be false and that the screen omits other technical and fundamental factors; it suggests considering additional indicators and company financial measures. It presents no backtest, return series, or evidence that the filter predicts future performance. The example also includes a market-capitalization range condition that is not clearly reflected in the final stated selection rules, so the implementation and prose criteria may not fully align.

Key ideas

  • The screen focuses on metaverse stocks with elevated prior-day turnover.
  • It uses a weekly close crossing above a 30-week moving average as a trend signal.
  • The final stated rules add a price-to-earnings ceiling.
  • The document warns that the crossover can be a false signal and omits broader analysis.
  • No historical performance evidence is reported.

Tags

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