Screening Stocks with Positive MACD and Rising DEA, Ranked by Attention

Summary

This Chinese-language article proposes screening stocks after each trading day for positive MACD momentum and a rising DEA line, then ranking qualifying names by market attention. Its sample formulas calculate DIF and DEA with exponential moving averages, check that DIF is above zero and that DEA has increased from the prior observation, and sort by an attention measure, with DEA change also used as a ranking criterion in the Python example.

The article argues that combining trend signals with investor attention may identify stocks with both upward momentum and market interest. It supplies formulas and illustrative Python, but no backtest, return data, benchmark comparison, or evidence that attention improves selection. It warns that the approach relies heavily on technical conditions and market sentiment, omits company fundamentals, and may miss intraday price moves or other sentiment effects. It suggests adding technical and financial filters and analyzing market conditions more carefully; these are proposals, not evaluated improvements.

Key ideas

• The screen selects stocks with DIF above zero and a rising DEA line after the close.
• Qualifying stocks are ranked primarily by market attention, with DEA change also included in the example ranking.
• The article provides indicator formulas and sample selection logic but reports no strategy performance evidence.
• It cautions that technical and attention signals omit fundamentals and can be affected by market fluctuations.

Tags

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