Screening Metaverse Stocks with a Long-Term Moving Average

Summary

This Chinese-language post describes a stock selection screen for companies in the metaverse theme. It requires that a stock’s price be at or above its 250-day moving average and that the current close exceed the prior day’s low. The moving-average condition is presented as a long-term price filter, while the prior-low comparison is intended to favor stocks showing some near-term strength. The post also gives example formula and Python approaches for applying these conditions to stock data.

The document does not report a backtest, portfolio returns, or evidence that the screen has predictive value. It flags market volatility and the risk of relying on limited indicators, and suggests adding technical measures or fundamental analysis. The provided implementation details and sample dates do not amount to a validated test, and the screen’s effectiveness may depend on data quality, how the theme universe is defined, and execution assumptions.

Key ideas

• The screen focuses on stocks classified in the metaverse theme.
• It requires price to be at or above the 250-day moving average.
• It also requires the close to exceed the previous session’s low.
• The post suggests adding other technical or fundamental factors, but provides no performance test.

Tags

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