Selecting Metaverse Stocks by Auction Turnover and Price Change

Summary

This post outlines a Chinese equity screen for stocks classified in the metaverse industry. It ranks candidates by the day’s opening-auction amount, keeps the top five, and restricts the auction price change to between -2% and 5%. The post gives platform-specific selection conditions and a Python example intended to illustrate the ranking and filtering process.

The proposed rationale is to favor currently active stocks while avoiding auction moves outside the chosen range. The post warns that this approach can concentrate holdings in a narrow, fashionable industry and neglects company fundamentals. It recommends considering financial and industry information and diversification, but supplies no backtest or return evidence. The Python example’s data handling does not clearly reproduce the stated opening-auction ranking, so its implementation should be validated before use.

Key ideas

• The screen selects metaverse-industry stocks using opening-auction amount and price change.
• It ranks candidates by auction amount and retains five within the stated price-change band.
• The post flags narrow industry exposure and the omission of company fundamentals.
• No performance evidence is supplied, and the Python example should be checked against the intended rules.

Tags

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