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MLPivotsBreakouts

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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.
Sürüm Notları
v2

Updated: Compiler annotations
Sürüm Notları
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.

Feragatname

Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, alım satım veya diğer türden tavsiye veya öneriler anlamına gelmez ve teşkil etmez. Kullanım Koşulları bölümünde daha fazlasını okuyun.