Skip to content
All library documents

Screening Metaverse Stocks with Arc Patterns and Institutional Flows

Article SuperMind

Summary

The document proposes a Chinese equity screen combining three conditions: membership in the metaverse industry, an arc-shaped price pattern, and institutional flow above zero. It presents the positive flow reading as a sign of institutional buying and suggests the combined filters may identify stocks with rising price trends while screening out some volatile names.

The article includes example platform formula and Python-style logic, but offers no backtest, performance statistics, or evidence that the pattern or flow measure predicts returns. It also describes institutional-flow data as potentially delayed or affected by other factors, creating false signals. The arc-pattern test is only sketched, and the article’s code and stated additional market-cap condition are not fully reconciled with the final three-part screen. It recommends supplementing the screen with technical and fundamental measures and adjusting the flow threshold to market conditions.

Key ideas

  • The proposed screen selects metaverse stocks with an arc-shaped price pattern and positive institutional flow.
  • The article interprets positive institutional flow as evidence of net buying, but does not validate its predictive value.
  • Institutional-flow readings may lag events or be affected by factors that create misleading signals.
  • The example screening logic is incomplete and should be clarified before implementation.

Tags

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