Screening Metaverse Stocks by Institutional Flows and ROE

Summary

This Chinese-language post describes a stock-selection screen combining three filters: membership in the metaverse theme, positive institutional activity, and return on equity above 15% in each of five consecutive years. It frames the theme as a growth-oriented universe and uses institutional flows and sustained profitability as additional selection criteria. It also provides example formula and Python-based screening steps, including stock universe selection, flow aggregation, and a historical ROE check.

The post offers no backtest results or evidence that these filters predict future returns. It acknowledges risks from mistaken company assessments, reliance on a single financial measure, and weak broad-market conditions. Suggested refinements include adding financial measures such as profit growth or return on assets, accounting for industry valuation differences, and relaxing the ROE history requirement. The example data dates and implementation details limit direct reuse, and the described screen should not be treated as proof of a profitable strategy.

Key ideas

• The screen combines metaverse-sector membership, positive institutional activity, and sustained ROE above the stated threshold.
• The post illustrates the screen with formula and Python-based data processing.
• It suggests adding financial measures and industry-specific valuation criteria.
• It identifies model, financial-measure, and broad-market risks but supplies no performance validation.

Tags

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