Screening Metaverse Stocks by Recent Dragon-Tiger Listings and Fund Flows

Summary

This post proposes screening Chinese A-share stocks in the metaverse sector that appeared on the previous day’s Dragon-Tiger list, then ranking them by capital-flow strength. It describes the ranking as a way to focus on names receiving market attention and stronger reported flows. The post includes sample indicator and Python approaches that draw on market and historical price data, then use a capital-flow ranking measure to order eligible stocks.

The document provides a screening concept and illustrative data workflow, but no backtest, returns, or evidence that the screen identifies superior investments. It warns that flow-focused selection can neglect company fundamentals and that external data accuracy needs checking. The author also notes that the cited flow measure covers only large orders, so rankings may need adjustment. The listed code and indicator logic are examples rather than demonstrated, validated implementations; the reader should verify data fields, timing, and screening conditions before relying on them.

Key ideas

• The proposed screen selects metaverse-sector stocks with a Dragon-Tiger listing on the prior day.
• Eligible stocks are ranked by a capital-flow strength measure.
• The post illustrates the workflow with market data and historical price data.
• The author cautions that flow rankings may omit fundamentals and depend on external data quality.
• The cited capital-flow measure is described as covering large orders only.

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