A Stock Screen Combining Turnover, Beverage Industry, and Lower Lows

Summary

The post describes a Chinese stock-selection screen using three conditions: turnover between 3% and 12%, membership in a beverage and alcohol-related industry, and a current daily low below the previous day's low. It presents the screen as a way to combine trading activity, industry classification, and recent price behavior, and includes references to indicator syntax and a Python example.

The article provides no backtest, performance results, or evidence that these conditions predict returns. It explicitly notes that the screen omits financial measures and suggests adding fundamental or technical filters for further selection. The example code also has apparent inconsistencies with the stated rules and relies on a particular data source and date, so it should not be treated as a verified implementation. The document explains a basic screening recipe rather than a tested trading strategy, and it does not specify portfolio construction, entry timing, or exit and risk rules.

Key ideas

• The screen combines a turnover range, an industry filter, and a lower daily low than the prior session.
• The post offers both indicator-syntax references and a Python implementation example.
• It gives no backtest or return evidence for the screening conditions.
• The author suggests adding financial or technical filters because fundamental data is not included.
• The example's implementation details may not consistently match the stated screening logic.

Tags

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