Screening Chinese Stocks by Range, Volume, Opening Price, and Price Level

Summary

This post outlines a Chinese stock screener using price movement, trading activity, and share price. Its stated filters look for stocks with an amplitude above a threshold, current volume above a stated level, a high opening price, and a share price below a cutoff. It then proposes ranking candidates by a combined fundamental and technical score, buying or holding the highest-ranked names. The accompanying Python example sketches a universe scan and sorting process, but leaves the scoring function empty.

The author cautions that price and volume filters alone omit company fundamentals, industry developments, and other technical signals, and suggests adding those inputs alongside risk controls. No backtest, return figures, or evidence that the proposed filters improve selection is provided. The code’s operational conditions do not fully implement the prose description, and the placeholder score means the suggested ranking is not reproducible as shown. Results would also depend on data definitions, timing, and how the additional factors and exits are specified.

Key ideas

• The proposed screen combines price amplitude, current trading volume, an opening-price condition, and a low share-price cutoff.
• The post suggests ranking qualifying stocks with a combined fundamental and technical score.
• The sample scoring function is unimplemented, so the proposed ranking cannot be reproduced from the example alone.
• The author warns that price and volume filters can overlook company and industry fundamentals.
• The document reports no backtest results or evidence of profitability.

Tags

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