A Metaverse Stock Screen Using Short and Medium Moving Averages

Summary

The post describes a Chinese equity screen for stocks in the metaverse theme, combining a short-term price condition with a longer moving-average trend filter. Its stated rationale is that prices above a five-day average may reflect near-term strength, while an upward 30-day average may help identify stocks with a rising trend. It also suggests adding technical and fundamental measures, refreshing the criteria, and considering company quality.

The article gives no backtest, return data, or evidence that the screen predicts performance. Its formula and implementation details are internally inconsistent: the written conditions are not faithfully represented by the displayed crossover expression, which compares a moving average with itself, and the Python example refers to data that is not clearly calculated. The method should therefore be treated as a rough screening idea rather than a validated strategy. The post also flags market and policy changes, sector-wide risk, and the uncertainty of relying on historical data.

Key ideas

• The proposed universe is Chinese stocks classified in the metaverse theme.
• The screen combines a price condition relative to a five-day average with a rising 30-day trend.
• The post suggests adding technical and fundamental measures and periodically reviewing the criteria.
• The displayed formula and sample implementation do not consistently encode the written screening rules.
• No performance test is provided, and the author notes sector, policy, and historical-data risks.

Tags

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