Screening Stocks by Price Range, Turnover, Trend, and Valuation

Summary

This Chinese-language post describes a stock screen combining price amplitude, recent actual turnover, and a moving-average trend condition. It selects shares with amplitude above a threshold, turnover within a specified band, and the shorter moving average above the longer one. A final version adds a price-to-earnings ceiling. The post includes example formulas and Python-oriented snippets for forming the filters.

The accompanying discussion says the screen emphasizes price movement, trading activity, and technical trend, while overlooking company finances and industry prospects. It suggests incorporating fundamental and sector information and treating technical indicators as context rather than universally reliable predictors. The snippets are presented as references that may need adjustment, and the post provides no backtest, portfolio construction rules, or performance evidence. Some example data calls and turnover calculations may not align directly with the stated lookback conditions, so implementations require validation against the intended definitions and data source.

Key ideas

• The screen combines price amplitude, recent turnover, and a short-versus-long moving-average comparison.
• The final proposed filter also requires valuation below a stated price-to-earnings threshold.
• The post warns that the technical and activity filters omit company and industry fundamentals.
• The code examples are illustrative and require adaptation and validation.
• No measured returns or risk-adjusted results are reported.

Tags

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