Bollinger Band and Short-Term Gain Stock Screen

Summary

This Chinese stock-screening note describes a technical filter combining daily price range, Bollinger Bands, and recent returns. It seeks stocks with a price range above a 20-day average, a close between the Bollinger middle and upper bands, and a positive 10-day gain below 35%. The article includes indicator and Python examples, but provides no backtest results or performance evidence. Its code examples differ in how they apply the range condition, so implementation details may need checking before use.

The note argues that this combination may identify volatile stocks with recent upward movement while leaving some room below the upper band. It warns that short-term filters can perform poorly in falling markets, overlook longer-term fundamentals, and become less reliable during sharp volatility. Suggested improvements include adding fundamental and market-context measures and using explicit risk controls such as stop losses. These are general suggestions rather than evaluated enhancements; the document does not establish that the screen has predictive value.

Key ideas

• The screen combines a price-range filter, a Bollinger Band position, and a bounded positive 10-day return.
• A close between the middle and upper Bollinger Bands is treated as evidence of upward price positioning.
• The article supplies formula and Python examples but reports no measured strategy performance.
• Short-term price filters can miss fundamental weakness and may be less dependable in volatile or declining markets.
• The author suggests adding fundamental inputs and risk controls, though these changes are not tested.

Tags

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