Screening Stocks with Positive MACD and a Weekly 30-Week Average Cross

Summary

This Chinese stock-selection note combines a positive MACD reading, a favorable enterprise classification, and a weekly price move above its 30-week moving average. Its accompanying screening formula also specifies a circulating market value range, excludes ST stocks, and limits the universe to a designated board. The Python example queries stock listings and weekly data, checks the relationship between price and the weekly average, then applies MACD conditions before reporting candidates.

The author views the technical conditions as evidence of upward momentum, but the document provides no backtest results or return statistics. The description warns that MACD and a moving-average signal alone can be insufficient, and that judging enterprise quality may be unreliable without deeper research. Although it recommends adding indicators and financial measures, it does not define the enterprise-quality test or evaluate any proposed refinement. The screen is therefore a candidate-generation method, not a demonstrated investment strategy; its exact implementation also depends on the cited data fields and the timing of weekly observations.

Key ideas

• The screen combines positive MACD, enterprise classification, and a weekly move above the 30-week average.
• The example implementation also applies board, circulating value, and non-ST filters.
• The note provides a data-query workflow but no backtest or return evidence.
• It cautions that technical signals and enterprise classification can be incomplete or mistaken.
• Further financial analysis is suggested, but no refined screen is tested.

Tags

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