A Metaverse Stock Screen Using Turnover, Ownership, Growth, and Valuation

Summary

This Chinese-language post presents a screen for mainland Chinese equities in the metaverse sector. Its final selection rules combine a high prior-day turnover measure, a shareholder-concentration threshold, positive year-over-year net-profit growth above a stated cutoff, and a price-to-earnings ceiling. It offers corresponding formula references and a Python example that retrieves sector and stock data, applies filters, and ranks selected names by recent price change.

The article initially interprets turnover as evidence of notable price movement and lower concentration as broader ownership, but those interpretations are not established by performance evidence. It warns that screening on a few indicators can miss other opportunities and omit fundamental or financial information, and suggests adding valuation, technical, financial, and news-based inputs. It provides no backtest results, benchmark comparison, or assessment of transaction costs, survivorship bias, and data quality; its thresholds and data fields therefore need independent validation before use.

Key ideas

• The screen starts with metaverse-sector stocks and applies turnover and shareholder-concentration filters.
• Its final rules also require a net-profit growth threshold and a price-to-earnings limit.
• The example ranks the candidates by recent price change and keeps a subset of the list.
• The post cautions that a small set of screening variables can omit important company information.
• No backtest evidence or cost analysis is supplied.

Tags

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