Screening Metaverse Stocks by Size and Earlier MACD Values

Summary

This stock-screening proposal selects companies associated with the metaverse theme, requires circulating market capitalization above 10 billion yuan, and checks whether the MACD line was below zero two trading sessions earlier. The stated aim is to identify possible short-term bearish conditions among larger companies in that theme. A Python example uses MACD parameters of 12, 26, and 9 and checks a historical array value corresponding to the earlier session.

The article describes the signal as a potential sell indication, but gives no backtest, performance statistics, or comparison with a benchmark. It notes that short-term fluctuations and technical-analysis limits can make the screen unreliable, and suggests adding other indicators and fundamental data. The implementation also has apparent data-selection limitations: it filters a spot-stock listing by a code prefix to represent the theme, and the market-capitalization condition’s units and data fields would need validation. The example should be treated as an illustrative screen rather than evidence of an effective strategy.

Key ideas

• The screen combines metaverse classification, circulating market capitalization, and an earlier MACD reading below zero.
• The example computes MACD with 12-, 26-, and 9-period settings.
• The proposed signal is framed as a possible short-term bearish clue.
• The article reports no measured performance or benchmark comparison.
• The code’s theme classification and market-capitalization units require verification.

Tags

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