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Stock Screening with Price Amplitude, Listing Age, and an Arc Pattern

Article SuperMind

Summary

This note describes a Chinese stock screen combining daily price amplitude above 1%, a listing age greater than one year, and a moving-average condition intended to identify an arc-shaped price pattern. The author interprets the amplitude filter as a way to find active shares and the listing-age filter as a way to exclude newer listings. A formula and Python example are included to illustrate the conditions, though the examples also add a market-capitalization prefilter that is not part of the stated final selection logic.

The article provides no backtest, performance data, or evidence that the arc condition predicts continued gains. It acknowledges that judging the pattern is subjective and that price-based filters omit company fundamentals. It suggests supplementing the screen with fundamental and technical measures, but does not specify or evaluate those additions. The screen is therefore a rule description rather than a validated trading strategy.

Key ideas

  • The screen combines price amplitude above 1%, more than one year since listing, and a moving-average condition described as an arc pattern.
  • The formula approximates the pattern by comparing a weighted blend of shorter moving averages with a 60-day average.
  • The Python example adds a market-capitalization prefilter that is absent from the stated final logic.
  • The article presents no performance evidence and warns that the pattern condition is subjective.
  • It notes that price-based screening can miss important fundamental information.

Tags

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