A-Share Screen for Metaverse Stocks with Positive Institutional Flow

Summary

This note describes a daily A-share screening rule combining three filters: membership in the metaverse sector, a positive institutional-flow measure, and a top-five ranking by the day’s auction amount. The intended pool emphasizes active stocks and uses institutional activity as a directional signal. The document includes example indicator references and a Python sketch that retrieves stock and money-flow data, filters candidates, and ranks them by auction amount.

No performance results or backtest evidence are provided. The note itself flags that the metaverse sector may be unstable, institutional-flow data can lag, and auction activity measures attention rather than fundamental value. It suggests adding valuation measures and technical indicators, but does not define those additions or specify a holding period, exit rule, transaction costs, or risk controls. The examples also leave details of the sector and flow measures dependent on data-provider definitions, so implementation would require checking their meaning and availability.

Key ideas

• The screen selects metaverse-sector shares with a positive institutional-flow reading.
• Candidates are ranked by auction amount, with only the five highest-ranked stocks retained.
• The article treats institutional activity and auction turnover as signals of direction and trading activity.
• It gives no backtest results, exit rules, or transaction-cost assumptions.
• The suggested safeguards include valuation checks and additional technical indicators.

Tags

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