Screening Metaverse Stocks with Positive Returns and Moving Average Crosses

Summary

This stock screen targets companies in a designated metaverse category whose latest close is above the prior close, with bullish conditions from MACD and moving averages. The final rules require DIF above DEA, a five-day average crossing above the ten-day average, and a ten-day average crossing above the twenty-day average. The post also gives a sample implementation outline using Chinese market data libraries to inspect stocks and collect matches.

The article frames the combined crosses as evidence of upward price momentum, but provides no backtest results, benchmark, or risk-adjusted performance. Its own caveats are that price-only technical signals can be noisy, overlook company fundamentals, and miss turning points. It suggests adding financial and industry measures, as well as other indicators, but does not test whether these additions improve the screen. The provided code and screening logic also appear not to match perfectly in how they express crossover conditions, so implementation details should be checked before use.

Key ideas

• The screen selects metaverse-category stocks with a positive latest daily return.
• It requires MACD DIF to exceed DEA and two moving-average crossover conditions.
• The post warns that technical signals can be noisy and omit fundamental information.
• No historical performance evidence or risk-adjusted evaluation is provided.
• The sample implementation should be checked against the stated crossover rules.

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