Metaverse Stock Screening with Long-Term Moving Average Filters

Summary

This stock-selection rule screens the metaverse theme for shares meeting two price-trend conditions: the previous day’s price must be above the 250-day moving average, and the weekly close must cross above its 30-week moving average. The first condition places price above a long-term reference; the second is intended to identify an upward shift in the weekly trend. The document provides formula and Python examples for applying the filters to stocks in the selected theme.

The source warns that market volatility and recent price swings can produce misleading signals. It suggests adding indicators such as MACD or RSI and considering fundamental analysis, but does not test these additions. No backtest results, returns, benchmark comparison, transaction costs, or portfolio rules are given. The screening logic is therefore a set of candidate-selection conditions, not evidence that the resulting stocks will outperform or that the theme classification and data implementation are reliable.

Key ideas

• The screen restricts candidates to stocks in the metaverse theme.
• It requires price to be above the 250-day moving average.
• It also uses a weekly close crossing above the 30-week moving average as a trend condition.
• The document flags volatility-related false signals and suggests adding technical and fundamental analysis.
• It provides no backtest evidence or portfolio-level performance results.

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