A MACD and Moving-Average Screen Ranked by Stock Attention

Summary

This Chinese-language post outlines a daily stock-selection screen that requires MACD to be above zero and three moving-average signals to align. It gives 20-, 60-, and 120-day averages as examples, and ranks qualifying stocks by a measure of market attention. The selection is intended to find stocks with positive trend conditions and strong investor interest. The post includes indicator formulas and an illustrative Python workflow for calculating MACD and moving averages, filtering candidates, and sorting by attention.

The author describes the approach as a simple technical screen rather than a complete portfolio strategy. The stated risks include concentrated selections, delayed signals, and neglect of company fundamentals, broader market conditions, and macroeconomic factors. Suggested refinements include adding fundamental and long-term trend measures and checking signals across multiple indicators. The example code’s conditions express moving-average ordering, which is not necessarily identical to detecting three fresh moving-average crossovers; the post gives no backtest results or portfolio risk rules.

Key ideas

• The screen requires positive MACD and alignment among three moving-average measures.
• Qualifying stocks are ranked by an attention or popularity measure.
• The suggested screening time is after each trading day closes.
• The post warns about concentration, lagging indicators, and omitted fundamental and macroeconomic information.
• It offers no performance evidence, and its example conditions use moving-average ordering rather than explicit crossover events.

Tags

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