A Metaverse Stock Screen Using a Long-Term Average and Recent Price Surges

Summary

The document presents a rule-based stock selection screen for the Chinese market. It selects shares in the metaverse sector whose previous-day price is above the 250-day moving average and that recorded at least one daily gain of 10% or more during the prior 25 trading days. It also includes example indicator logic and a Python outline for filtering a sector universe and sorting selected names by trading value.

The screen combines a long-term trend filter with a recent-momentum condition, but the document gives no backtest, return series, benchmark comparison, or evidence that the rules are profitable. It warns that selecting recent sharp risers can encourage buying after a surge, and that single-day moves may reflect temporary news rather than durable value. It also notes that the rules omit fundamental analysis, risk controls, and capital allocation. The implementation details should be checked carefully before use, since the described selection logic and example code may not align in every filtering or timing detail.

Key ideas

• The screen restricts its universe to stocks classified in the metaverse sector.
• It requires the prior-day close to be above the 250-day moving average.
• It also requires at least one daily gain of 10% or more in the previous 25 trading days.
• The combination uses a long-term trend condition and a recent price-strength filter.
• The document provides no performance validation and highlights chasing surges and missing risk controls as limitations.

Tags

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