Metaverse Stock Screening with a Ten-Day Average and Earnings Growth

Summary

This document describes a Chinese stock-screening rule that combines a sector filter, a price condition, and reported earnings growth. It selects companies classified in the metaverse industry when the current open is around the ten-day moving average and the year-over-year growth rate in net profit attributable to the parent company is above 20% and no more than 100%. The article also provides example indicator and Python implementations of the screen.

The author frames the rule as a blend of technical and fundamental inputs, but presents no backtest, performance data, or evidence that the combination predicts returns. The wording “around the ten-day average” is not fully precise: the indicator example uses prior close and open comparisons to define the condition, while the Python example compares the current open with an average of recent opens. Those implementations are not equivalent. The article notes that the screen omits details such as sustained earnings trends, leverage, and ownership structure, and that financial data may update too slowly to reflect market changes. Results therefore depend on data quality, timing, and a clearly specified price rule.

Key ideas

• The screen focuses on stocks classified in the metaverse industry.
• It combines a ten-day moving-average price condition with parent-attributable net profit growth.
• The stated earnings-growth range is above 20% and at most 100% year over year.
• The article offers example implementations but does not report backtest results.
• It cautions that simple filters may overlook financial details, ownership issues, and data delays.

Tags

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