Screening Stocks with 15-Minute MACD Histogram Contraction

Summary

The document proposes a Chinese A-share screening approach combining price amplitude, market heat ranking, and a 15-minute MACD condition. It selects stocks whose high-to-low range exceeds one percent of the prior close, ranks candidates by a heat measure, and looks for a shrinking negative MACD histogram, which the article interprets as a possible short-term pullback and potential buying opportunity. It includes example indicator expressions and Python-like code using historical price data and a MACD calculation.

The write-up offers no backtest, dated trade examples, or measured returns, and its code’s ranking and MACD conditions do not clearly implement every part of the stated logic. It acknowledges that MACD can misread trends, that a short-term pullback does not establish a longer-term reversal, and that technical signals can omit relevant market context. Suggested additions such as other indicators, adaptive thresholds, sentiment, fundamentals, or machine learning are ideas rather than tested improvements.

Key ideas

• The screen combines a price amplitude threshold, stock heat ranking, and a 15-minute MACD histogram condition.
• A shortening negative MACD histogram is treated as a possible pullback and buying opportunity.
• The document provides sample indicator formulas and data-processing code but no performance evidence.
• The stated risks include misleading MACD readings, short-term signals failing to reflect long-term direction, and omitted market factors.
• Suggested enhancements are not supported by reported tests.

Tags

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