Chinese Stock Screen Combining Turnover, Beverage and Spirits, and Metaverse Labels

Summary

This note proposes selecting Chinese shares with turnover between 3 and 12 percent, an association with beverage and alcohol imports or exports, and a metaverse label. It frames the sector and concept filters as constraints and suggests that turnover may help assess current trading activity. Formula and Python examples are included to illustrate screening by turnover and sector or keyword information. The note also recommends adding company profitability and competitiveness measures to improve the selection process.

No backtest, portfolio construction rules, or return evidence are provided. The rationale linking turnover to undervaluation is asserted rather than demonstrated, and the document acknowledges that metaverse lacks a settled definition, so keyword-based matches may not reflect genuine business exposure. The examples also appear inconsistent: the Python snippet filters for industry text and company names, includes an RSI calculation without using it as a filter, and does not clearly implement the stated sector and concept conditions. Changes to labels or thresholds could alter the results. Treat this as a rough screening idea that requires data validation and a clearer specification before evaluation.

Key ideas

• The proposed screen combines turnover between 3 and 12 percent with beverage and alcohol trade-sector and metaverse classifications.
• The document offers formula and Python examples but no return or backtest evidence.
• It suggests adding profitability and competitive-strength measures.
• The metaverse label is ambiguous and may select companies without meaningful exposure.
• The code examples do not clearly implement all stated criteria, so the screen needs validation.

Tags

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