Selecting Metaverse Stocks by Auction Turnover and Float Capitalization

Summary

The document describes a Chinese equity screening rule that starts with stocks classified in the metaverse theme, applies a minimum threshold for circulating market capitalization, then ranks candidates by the day’s auction amount and selects the five highest-ranked names. It also provides a Python example using QuantAxis data fields to filter the theme and capitalization, sort by auction amount, and return the top five. The article states the capitalization threshold in yuan; the example encodes a numerical threshold that may require checking against the data provider’s units and conventions.

No backtest, selected-stock list, or return evidence is provided, so the screen should be treated as a selection recipe rather than a demonstrated strategy. The article notes that relying on auction turnover alone ignores fundamentals and technical conditions, and that unusual events can distort the ranking. It suggests combining the screen with additional valuation or company measures, but does not specify how to weigh or test them. Data availability, theme classification, and the timing of auction data also affect reproducibility.

Key ideas

• The screen selects metaverse-themed stocks above a circulating market-capitalization threshold.
• It ranks eligible stocks by the amount traded during the day’s auction and keeps the top five.
• The article supplies a QuantAxis example but reports no backtest or performance results.
• Auction activity can be affected by exceptional events and does not represent a full company assessment.
• The example’s capitalization units and data field definitions should be verified before use.

Tags

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