Metaverse Stock Screening with Rising 30-Day Averages and Afternoon Flows

Summary

This note outlines a Chinese equity screen for stocks associated with the metaverse theme. It combines a rising 30-day moving average with positive afternoon large-order net inflow, using the trend condition as a price-strength filter and the flow condition as an indicator of buying activity. The document also gives formula references and a Python example for applying the criteria.

The author cautions that the screen omits company fundamentals, broader trend context, and flows outside the afternoon period. It may therefore select companies of uneven quality and may be unreliable in complex or changing markets. Suggested refinements include adding fundamental measures and other flow periods, then reviewing the screening rules regularly. No backtest, performance data, or evidence of predictive effectiveness is provided, so the criteria should be treated as a proposed screening approach rather than a validated strategy.

Key ideas

• The screen targets metaverse-related equities with a rising 30-day moving average.
• Positive afternoon large-order net flow is used as a buying-activity filter.
• The note identifies missing fundamentals and broader flow data as limitations.
• It proposes adding company analysis and reviewing the criteria as market conditions change.

Tags

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