A-Share Screen Using Turnover, Convertible-Bond Data, and Bollinger Bands

Summary

This Chinese-language post describes an A-share stock screen that combines a price-amplitude or turnover-related condition, a nonempty convertible-bond name field, and a closing price within Bollinger Bands. It proposes ranking qualifying shares by market capitalization. The technical condition uses a 20-period Bollinger calculation with two standard deviations, placing the close below the upper band and above the lower band. The post also includes platform formula and Python examples, though the Python implementation adds several data and listing filters that do not map cleanly to the stated screen.

The author presents the bands as a way to assess price volatility and trend context, and suggests adding fundamental measures such as valuation ratios or other technical indicators for refinement. No performance test or evidence of predictive value is provided. The discussion cautions that Bollinger signals can mislead and may be less useful for small or illiquid stocks; the screen may also omit smaller high-growth companies. The criteria and code should therefore be treated as an example requiring validation and reconciliation before use.

Key ideas

• The proposed screen combines a turnover or amplitude condition, convertible-bond information, and a Bollinger Band price filter.
• It ranks selected A-share stocks by market capitalization.
• The described band condition places the closing price between the upper and lower Bollinger boundaries.
• The accompanying code includes additional filters, so its implementation does not exactly match the brief screen description.
• The post offers no performance evidence and notes limits for illiquid shares and band-based signals.

Tags

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