Metaverse Stock Selection Using a Five-Day Average and ROE History

Summary

This Chinese-language post describes a stock screen for the metaverse industry. It selects companies whose average share price is above the five-day moving average and whose return on equity exceeded 15% for five consecutive years. The stated rationale is to combine a short-term price condition with a record of profitability. The post also provides example screening logic and sample code, though the code contains additional filters, including valuation, market capitalization, and location conditions that are not part of the headline rule.

The author cautions that historical ROE and a moving-average condition omit other financial, industry, and business changes, and suggests tracking performance dynamically and considering other financial measures. No backtest methodology, selected-stock list, or measured returns are presented, so the claim that the screen may identify attractive companies is not supported by performance evidence. The code’s data fields and rolling calculations should also be checked before use, since its implementation does not clearly align with every stated condition.

Key ideas

• The screen focuses on metaverse-sector equities with price above the five-day moving average.
• It also requires ROE above 15% for five consecutive years.
• The post’s sample code adds filters beyond the two headline conditions.
• Historical profitability and price positioning can miss changing company or sector fundamentals.
• The post reports no backtest results or evidence of realized returns.

Tags

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