Interactive Lesson: Anomaly Detection Bollinger Bands
📈 Bollinger Bands Anomaly Detection
Learn how Bollinger Bands can detect anomalies in time series data. Adjust parameters and watch the detection in real-time!
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Detection Parameters
Data Points
51
of 200
Anomalies Found
0
in current view
Detection Rate
0.0%
anomaly ratio
Window
20
±2.0σ bands
Time Series with Bollinger Bands
⚠️ Detected Anomalies (0)
How It Works
Bollinger Bands consist of a middle band (Simple Moving Average) and two outer bands at ±2 standard deviations.
Anomaly Detection: Points outside the bands are considered anomalous (unusual behavior).
Window Size: Larger windows smooth out short-term variations but may miss recent pattern changes.
Standard Deviation Multiplier: Higher values reduce false positives but may miss subtle anomalies.