Screening Metaverse Stocks by Turnover and Recent Price Change

Summary

This post describes a stock screen for Chinese equities associated with the metaverse theme. It selects stocks whose prior-day actual turnover rate falls within a specified band and whose price change is between a modest loss and a limited gain. The article presents the filters as a way to combine trading activity with recent price behavior, and includes example formulas and a Python implementation outline.

The post offers no backtest, performance evidence, or detailed rationale validating the thresholds. It warns that market and sector risks can undermine selections, and that technical filters alone omit fundamental analysis. Its code also relies on specific market data providers and fields, so the stated logic may require adaptation and validation before use.

Key ideas

• The screen focuses on stocks classified in the metaverse theme.
• It filters on prior-day actual turnover and a bounded recent price change.
• The post supplies example implementations but no performance results.
• The author notes that technical filters omit fundamental analysis and may be unstable.

Tags

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