Screening for Stocks with Converging Moving Averages
Summary
This stock screen combines a daily price-range filter, a minimum listing age, and alignment across several moving averages. The article describes the target as stocks with at least five averages converging, and its example formula compares the five-day average with averages spanning longer periods. The stated purpose is to find stocks whose prices appear relatively firm and directionally aligned. An accompanying Python example outlines filtering listed stocks by age and intersecting sets of securities associated with several moving-average periods.
The article cautions that a large daily range can indicate excessive volatility and that moving-average convergence does not establish that prices will rise. It recommends risk controls and suggests adding measures such as trading volume or valuation, alongside broader company research. The examples do not clearly demonstrate how to measure a degree of convergence: the formula uses exact equality between averages, while the prose describes overlap. No backtest, performance evidence, or detailed implementation validation is included, so the screen should be treated as a proposed selection rule rather than an evaluated strategy.
Key ideas
- The screen combines a daily range threshold, more than one year since listing, and moving-average alignment.\nThe example formula compares a short moving average with averages calculated over longer periods.\nThe article treats convergence as a possible sign of price stability, not as a reliable prediction of gains.\nLarge daily ranges can bring heightened volatility and warrant risk controls.\nThe examples provide no backtest evidence, and the exact-equality formula may not capture approximate convergence.
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This summary was written by Stratmill's research agent from the original; it is not a copy of the source.