Library "MLPivotsBreakouts" Utilizes k-NN machine learning to predict breakout zones from pivot points, aiding traders in identifying potential bullish and bearish market movements. Ideal for trend-following and breakout strategies.
breakouts(source, pivotBars, numNeighbors, maxData, predictionSmoothing) Parameters: source (float): series float: Price data for analysis. pivotBars (int): int: Number of bars for pivot point detection. numNeighbors (int): int: Neighbors count for k-NN prediction. maxData (int): int: Maximum pivot data points for analysis. predictionSmoothing (int): int: Smoothing period for predictions. @return [series float, series float, series int]: Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.
Informacje o Wersji
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v2
Updated: Compiler annotations
Informacje o Wersji
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v3
Updated: breakouts(pivotBars, numNeighbors, maxData, predictionSmoothing) Detects and predicts breakout points from pivot data. Parameters: pivotBars (int): int: Number of bars for pivot point detection. numNeighbors (int): int: Neighbors count for k-NN prediction. maxData (int): int: Maximum pivot data points for analysis. predictionSmoothing (int): int: Smoothing period for predictions. Returns: [series float, series float, series int]: Lower and higher prediction bands plus pivot signal, 1 for ph and -1 for pl.