Screening Metaverse Stocks with a Rising 30-Day Moving Average

Summary

This post describes a Chinese equity screen for companies associated with the metaverse whose 30-day moving average is rising, with company type used as an additional filter. The prose also mentions a share-price ceiling and suggests that investors might narrow the universe to selected business categories, such as private or technology-focused firms. The technical rule compares the current 30-day average with its prior value; the example Python logic instead checks whether price exceeds a shifted 30-day average, so the implementations do not express precisely the same condition.

No backtest or performance evidence is provided. The post identifies subjectivity in classifying company types, possible policy exposure, and the limited view obtained from technical signals and a small set of company attributes. It recommends adding fuller fundamental measures, combining the screen with other technical indicators, and periodically revisiting the filters as market conditions change. The method is therefore a screening template rather than a demonstrated strategy, and the document’s example conditions are not fully consistent with its description.

Key ideas

• The proposed universe consists of metaverse-related equities with an upward-trending 30-day moving average and a company-type filter.
• The prose adds a price ceiling, but the provided code does not implement that condition.
• The formula describes a rising moving average, while the Python example tests price against a lagged moving average.
• Company classifications can be subjective, and policy exposure may affect the selected firms.
• The post offers no performance evidence and recommends adding fundamental and technical analysis.

Tags

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