Metaverse Stock Screening with MACD and Moving Average Crossovers

Summary

This stock-selection method screens companies in the metaverse industry using three simultaneous bullish crossovers: MACD above its signal line, the 5-day moving average above the 10-day average, and the 5-day average above the 20-day average. It also requires a circulating market value of at least 10 billion yuan and permits Shanghai, Shenzhen, or Hong Kong listings. The approach combines short-term technical momentum with a company-size filter.

The document provides screening conditions and reference implementations, but it gives no historical test, performance figures, or evidence that the signals predict returns. It identifies sector policy and regulatory changes, sharp price reversals after strong rises, and a small candidate set as risks. It suggests monitoring policy, adding broader risk controls, and reviewing the size threshold. The crossovers may occur together infrequently, and the document does not specify entry timing, exits, position sizing, or how the indicators are calculated across markets. Treat the screen as a candidate-generation rule rather than a complete trading system.

Key ideas

• The screen targets metaverse-related equities listed in Shanghai, Shenzhen, or Hong Kong.
• It requires bullish crossovers in MACD and in the 5-day average against both the 10-day and 20-day averages.
• The circulating market value threshold is at least 10 billion yuan.
• The document flags regulatory exposure, reversal risk, and limited candidate breadth.
• It offers no backtest or complete rules for entries, exits, or portfolio risk.

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