A-Share Screening by Metaverse Theme, Institutional Flows, and Beverage Imports

Summary

The document proposes an A-share stock screen combining three conditions: membership in the metaverse theme, positive institutional activity, and classification in the beverage and alcohol import-export industry. It describes selecting stocks that meet all three filters and gives example indicator references and a Python outline for applying theme, money-flow, and industry filters.

The post offers no backtest, performance data, or evidence that the combined screen has predictive value. It flags stock losses, rapid industry changes, and the lag in institutional-flow data as risks, and suggests adding other industry measures and revisiting the criteria as markets change. The implementation details may not map cleanly to the stated logic: for example, the code uses a name text match as a theme proxy and compares flow fields to determine institutional buying. Treat this as a screening concept rather than a validated trading strategy.

Key ideas

• The screen combines metaverse theme membership, positive institutional-flow signals, and beverage and alcohol import-export industry classification.
• The post proposes intersecting stocks that pass each filter before investing.
• It identifies lagging institutional-flow data and changing industry conditions as sources of screening error.
• The document provides no performance results or validation for the proposed filters.

Tags

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