Metaverse Stock Screen Using Turnover and a Ten-Day Moving Average

Summary

This stock-selection rule screens companies classified in the metaverse theme, requiring the prior day’s actual turnover to fall between 3% and 28% and the opening price to be above the ten-day moving average. The article gives the conditions in plain language and maps them to indicator expressions, then sketches a Python workflow that filters industry data, turnover, and daily prices before joining the qualifying stocks.

The rule is a simple screen rather than a complete trading system: it does not specify portfolio weights, entry timing beyond the screening conditions, exits, or risk controls. The source itself flags the logic as potentially prone to risk and misclassification, and notes that industry prospects can shift with policy and competition. It suggests adding technical or financial measures and reviewing results over time, but presents no backtest evidence or performance statistics. The code is an illustrative reference tied to particular data fields and a stated example date, so its data definitions and timing would need checking before practical use.

Key ideas

• The screen focuses on stocks assigned to the metaverse industry theme.
• It requires prior-day actual turnover to be between 3% and 28%.
• It selects stocks whose opening price is above the ten-day moving average.
• The article gives a Python example that joins industry, turnover, and price filters.
• The rule lacks performance evidence and omits portfolio construction and exit criteria.

Tags

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