Metaverse Stock Screening with Float, Auction Turnover, and Valuation Filters

Summary

The document describes an A-share screening idea focused on metaverse-related companies. Its initial criteria are an industry match, a circulating share count no greater than 5.5 billion, and prior-day auction turnover above 0.26. The proposed final version adds market capitalization below 10 billion and a price-to-earnings ratio below 50. It gives illustrative indicator and Python references, but several calculations are placeholders, so the examples do not provide a complete, reproducible implementation.

The rationale is that auction turnover can indicate short-term trading activity, while float and valuation limits constrain the candidate set. The article supplies no backtest, performance data, or evidence that these filters improve returns. It cautions that the approach relies heavily on market activity and may omit fundamental or macroeconomic influences; it recommends evaluating broader factors and avoiding dependence on a single signal.

Key ideas

• The screen targets metaverse-related A-share stocks with specified float and auction-turnover conditions.
• The final proposed screen also limits market capitalization and price-to-earnings ratio.
• Auction turnover is used as a short-term measure of trading activity.
• The document provides illustrative code references with incomplete indicator calculations.
• No performance evidence is supplied, and the author flags risks from relying on narrow criteria.

Tags

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