A Metaverse Stock Screen Using Trend and Recent Returns

Summary

The document outlines a Chinese-market stock screen that selects companies associated with the metaverse concept, requires the 30-day moving average to be rising, and limits the stated 10-day gain to a positive value below 35 percent. It presents this as a combination of a thematic filter, a trend condition, and a recent-return range, with an intention to hold selected stocks. It also gives example expressions for the filters and discusses adding fundamental measures such as valuation, profitability, and dividends.

The article provides no backtest results, benchmark comparison, portfolio rules, or evidence that the screen is profitable. Its accompanying Python example does not fully match the stated logic: it compares the close with a lagged rolling average rather than checking whether the average itself is rising, and its return filters use a one-day close-to-previous-close calculation rather than a 10-day return. The screen therefore needs implementation checks and independent testing; the article itself flags overfitting and omitted factors as risks.

Key ideas

• The screen combines a metaverse theme filter with a rising 30-day moving average and a bounded positive 10-day gain.
• The stated approach is to hold stocks that pass the selection conditions.
• The article suggests adding fundamental measures and other technical signals, but does not test those additions.
• The Python example uses a one-day return and a price-versus-average test, which differ from the described conditions.
• No performance evidence is supplied, and the article notes the risk of overfitting and incomplete screening criteria.

Tags

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