A-Share Screening with Positive MACD and a Morning-Star Pattern

Summary

The document outlines a daily, after-close stock screen that combines a positive MACD value with a ranking by stock popularity and a named morning-star condition. It frames the combination as a way to seek equities with an established upward trend, market attention, and potential reversal characteristics. It includes example indicator formulas and a Python sketch that filters for MACD above zero and a low value of the pattern score, then sorts by turnover rate.

The material does not provide performance results or a validation method, and the popularity ranking described in prose is not clearly implemented in the example, which sorts on turnover. It cautions that the pattern can misread reversals, results may be poor in unusual or smaller markets, and reliance on a narrow set of indicators can make the screen brittle. Suggested extensions include testing the pattern quantitatively, adding other technical indicators, and considering company fundamentals. The formulas and example are presented as references rather than evidence of predictive performance.

Key ideas

• The screen selects stocks with MACD above zero and applies a popularity ranking and morning-star condition.
• The proposed screening time is after each trading day's close.
• The example code filters using MACD and a pattern-score threshold, then sorts by turnover rate.
• The document gives no backtest evidence and warns that the pattern may misidentify reversals.
• It suggests combining technical signals with quantitative validation and fundamental analysis.

Tags

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