Metaverse Stock Screening with Turnover, Profitability, and Region Filters

Summary

This document outlines a Chinese equity screening rule for companies classified in the metaverse sector. It selects stocks whose actual turnover rate from the prior day falls between 3% and 28%, excludes Beijing-listed regional entries, and requires positive earnings per share. The accompanying discussion interprets turnover as a measure of trading activity and frames the region and profitability conditions as screening constraints. It also sketches how to apply these filters using market data and financial indicators.

The source offers no historical returns, benchmark comparison, or evidence that the selected firms benefit from metaverse demand or that the turnover range predicts future performance. It acknowledges that regional exclusion and a small set of filters leave other risks and company fundamentals unexamined, and suggests considering valuation and technical measures. Some implementation details appear inconsistent: the narrative describes prior-day turnover, while the sample data query and filtering steps do not clearly establish that timing; the code also applies a market capitalization filter not stated in the main screening rule. Treat the description as a screening template, not a validated strategy.

Key ideas

• The screen targets metaverse-sector equities using a prior-day turnover band and positive earnings per share.
• It excludes stocks associated with Beijing according to the stated regional filter.
• The source provides implementation examples but no backtest or evidence of predictive value.
• The sample code includes a market capitalization condition absent from the stated final logic.

Tags

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