Interactive Lesson: Anomaly Detection Bollinger Bands

Bollinger Bands Anomaly Detection System

📈 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.