Chinese Metaverse Stock Screening with Institutional Flow and Control Metrics

Summary

This Chinese stock-screening idea selects companies associated with the metaverse theme, requires a positive institutional-flow measure, and filters for a “today control” indicator above 21. The article presents the combination as a way to identify stocks with potential support from institutional activity and price strength. It also sketches how to express the conditions in a platform formula and describes a Python data workflow using stock, investor-flow, and market-value data.

The document offers no backtest, performance figures, or evidence that the thresholds predict returns. It cautions that the company classification and price-control measure may be unreliable, and that weak overall markets could undermine the selection. The sample data fields and calculations may not faithfully reproduce the named platform indicators, so the code should not be treated as a validated implementation. Suggested extensions include adding valuation, moving-average, or MACD filters and considering company competitiveness and management stability.

Key ideas

• The screen combines metaverse classification, positive institutional flow, and a control indicator above 21.
• The article describes platform-formula and Python approaches to implementing the stock filter.
• It provides no measured returns or backtest evidence for the proposed conditions.
• The author identifies indicator limitations, company-assessment errors, and weak markets as risks.
• Additional technical and fundamental filters are proposed as possible refinements.

Tags

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