Screening Metaverse Stocks with Three Moving-Average and MACD Crossovers

Summary

This stock selection example screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD over its signal line, the five-day average over the ten-day average, and the five-day average over the twenty-day average. It further requires turnover between 2% and 9%. The article presents the conditions as a way to combine technical momentum with trading activity, and gives equivalent screening logic in a Chinese stock platform and a Python-style example.

The document does not report a backtest, selected stocks, or measured returns, so it provides a screening recipe rather than evidence that the rules are profitable. It flags sector policy and regulatory exposure, market volatility and pullback risk after sharp rises, and the limited candidate pool created by the turnover band. The code examples are illustrative and do not explain indicator calculations, execution, portfolio sizing, or validation procedures.

Key ideas

• The screen focuses on stocks classified in the metaverse industry.
• It requires MACD to cross above its signal line and the five-day average to cross above both the ten-day and twenty-day averages.
• Eligible stocks must have turnover from 2% through 9%.
• The article identifies regulatory exposure, sharp price reversals, and a narrow candidate set as limitations.
• No performance test is provided to establish whether the screen has an edge.

Tags

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