Chinese Stock Screen Using MACD and the Bollinger Middle-to-Upper Band

Summary

This daily, after-close stock screen requires MACD to be above zero and the closing price to fall between the Bollinger middle and upper bands. It also says to rank qualifying shares by individual-stock popularity, although the provided examples do not implement that ranking consistently. The article frames the conditions as a combination of positive trend, market attention, and a price location within a volatility band. It outlines moving-average and standard-deviation calculations for the Bollinger bands and gives an illustrative Python selection procedure.

The document presents no backtest, benchmark, or measured outcomes. It cautions that Bollinger bands describe a range rather than predict direction, and that MACD can mislead during unusual market conditions. It suggests checking additional indicators and evaluating how the method behaves across stocks and market environments. The example code has apparent inconsistencies, including references to fields or variables that are not defined in the shown steps, so its practical implementation should be checked before use.

Key ideas

• The screen requires MACD above zero and a close between the Bollinger middle and upper bands.
• It proposes ranking qualifying stocks by popularity and running the screen after the close.
• The article explains band construction using a moving average and standard deviation.
• It provides no performance evidence and notes that bands do not predict price direction.
• The example code contains inconsistencies that require implementation checks.

Tags

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