Metaverse Stock Screening with Relative Volume and a Range Filter

Summary

This example describes a screen for Chinese stocks associated with the metaverse theme. Its stated conditions include a relative-volume range, a low K-line measure, and, in the final version, a market-capitalization ceiling. The article frames the combination as a way to focus on a market theme and stocks with elevated trading activity but comparatively limited recent price range. It supplies a database-style filter and illustrative Python code that also attempts to join in company statistics.

The article offers no backtest, portfolio construction rules, or evidence that the screen predicts a rebound. It warns that trading-volume and price-pattern filters do not assess business quality, and that a low range measure may not adequately describe risk or volatility. The initial rule and final rule differ because the latter adds a size constraint; the code’s data fields and calculations also leave implementation details unclear. Fundamental measures, broader market context, and diversification are proposed as refinements, but none are tested.

Key ideas

• The screen targets metaverse-related equities with relative volume inside a stated band.
• A low K-line measure is used to select stocks with a comparatively limited recent range.
• The final screening description adds a market-capitalization ceiling.
• The article provides illustrative query and Python examples but no performance results.
• The author cautions that trading activity and price filters omit fundamentals and do not guarantee a rebound.

Tags

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