Screening Metaverse Stocks by Turnover and the 30-Day Average

Summary

This equity screen selects stocks classified in the metaverse theme when the prior day’s actual turnover rate is between 3% and 28% and the 30-day moving average is rising. The turnover range is presented as a way to focus on shares with trading activity, while the moving-average condition is intended to capture an upward price trend. The document provides formula and Python examples for combining the industry classification, turnover filter, and moving-average test.

The article reports no backtest, returns, or other evidence that the conditions predict performance. It warns that market and sector conditions can undermine the screen, moving averages lag price changes, and applying several filters may leave few stocks. It suggests incorporating company fundamentals and learning more about the sector. The examples also use a specific historical date and data source, so they illustrate implementation rather than establish a current or generally validated signal.

Key ideas

• The screen targets stocks classified in the metaverse theme.
• It requires prior-day actual turnover between 3% and 28% and an upward-sloping 30-day moving average.
• The document provides formula and Python examples but no performance evidence.
• The author identifies market risk, sector risk, indicator lag, and small candidate counts as limitations.
• Further evaluation could combine the screen with fundamental analysis and more objective criteria.

Tags

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