Screening Metaverse Stocks by Turnover and Tradable Share Count

Summary

This post outlines a Chinese stock screen for companies in a metaverse-related category, with previous-day turnover above 8% and tradable shares capped at 5.5 billion. It explains tradable float as shares available for market trading after restricted or otherwise unavailable holdings are excluded. Formula and Python examples are provided to combine category membership, turnover, and float data; the Python example also truncates the selected list to 30% of its length, though the selection basis is not clearly established in the accompanying explanation.

The proposed rationale is to find smaller-float stocks attracting substantial trading activity. The post does not report a backtest, returns, or evidence that the criteria identify profitable opportunities. It notes that the screen omits technical trends and that float data can be inaccurate or affected by large holders and institutions. It suggests adding financial and industry information. The turnover formula shown in one example appears to compare a turnover field with its prior value, which may not directly implement the stated threshold, so the implementation deserves verification.

Key ideas

• The screen combines metaverse category membership, turnover above 8%, and a tradable-share ceiling of 5.5 billion.
• The post defines tradable float as shares available for secondary-market trading.
• The author presents formula and Python examples, including a step that keeps 30% of the selected list.
• The rationale is to find high-activity stocks with relatively small floats.
• No performance evidence is given, and the post warns about missing trend and fundamental inputs as well as potential data errors.

Tags

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