Screening Metaverse Stocks by Turnover and a Low K Value

Summary

This Chinese-language article outlines a stock-selection rule for companies in the metaverse industry. It filters for previous-day actual turnover between 3% and 28% and a K value below 20, describing the turnover range as a sign of trading activity and the low K reading as a low-price technical condition. Formula and Python examples are included to illustrate the intended selection process.

The article does not provide backtest results, performance statistics, or evidence that the filters identify undervalued or promising stocks. It acknowledges that the rule leaves out other financial and technical measures, that a low K reading does not by itself establish investment value, and that strict conditions may produce few candidates in a rising market. The sample code and narrative also leave some implementation details open, including how the industry group and K measure are aligned with the specified screening date. The rule is best understood as a screening hypothesis requiring data validation and broader risk analysis.

Key ideas

• The screen targets metaverse-industry stocks with prior-day turnover between 3% and 28%.
• It adds a K value below 20 as a low-level technical filter.
• The article provides formula and Python examples but no evidence of historical returns.
• The proposed conditions omit fundamental and other technical measures.
• The article cautions that a low K reading alone does not establish investment merit.

Tags

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