ZigZag Swing Pattern Classifier

This skill provides a rigorous framework for identifying and labeling ZigZag swing patterns in financial time-series data. It categorizes price movements into exhaustive variants—including Higher Low (HL), Equal Low (EL), and Lower Low (LL)—while accounting for volatility through epsilon tolerance bands and Freedman-Diaconis binning. Ideal for quant developers and traders, it maps structural patterns to specific market regimes like trend continuation, triangle compression, and rally failures to enhance algorithmic decision-making and pattern recognition accuracy.

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사용 사례