Jurik Moving Average (JMA) is an adaptive moving average developed by Mark Jurik, widely regarded as one of the most powerful moving averages available to traders. This implementation provides a direct Pine Script translation of the reverse-engineered JMA algorithm
What Makes JMA Special Unlike traditional moving averages, JMA adapts to market volatility in real-time. This "triple adaptive" approach allows JMA to:
Reduce lag significantly while maintaining exceptional smoothness
React quickly during trending markets
Filter out noise during consolidation phases
Provide clearer trend signals with fewer whipsaws
The Triple Adaptive Edge
JMA employs a three-stage smoothing process:
Preliminary smoothing via an adaptive EMA
Secondary smoothing using a Kalman filter with phase adjustment
Final smoothing through a unique Jurik adaptive filter
This approach combines with a dynamic volatility-based factor (alpha) that adapts to market conditions, making JMA superior to traditional moving averages in most situations.
Key Parameters
Period: Controls the lookback period (default: 14) Phase: Adjusts the heaviness of the indicator (-100 to 100, default: 0)
Positive values reduce lag but may cause overshoot
Negative values increase smoothness but reduce responsiveness
Power: Smoothing factor (0.1-0.9, default 0.45)
Higher values create smoother curves Lower values create more responsive but choppy curves
릴리즈 노트
Jurik Moving Average (JMA) is an adaptive moving average developed by Mark Jurik, widely regarded as one of the most powerful moving averages available to traders. This implementation provides a direct Pine Script translation of the reverse-engineered JMA algorithm; the true original algorithm was never published.
What Makes JMA Special Unlike traditional moving averages, JMA adapts to market volatility in real-time. This "triple adaptive" approach allows JMA to:
Reduce lag significantly while maintaining exceptional smoothness
React quickly during trending markets
Filter out noise during consolidation phases
Provide clearer trend signals with fewer whipsaws
JMA employs a three-stage smoothing process:
Preliminary smoothing via an adaptive EMA
Secondary smoothing using a Kalman filter with phase adjustment
Final smoothing through a unique Jurik adaptive filter
This approach combines with a dynamic volatility-based factor (alpha) that adapts to market conditions, making JMA superior to traditional moving averages in most situations.
Key Parameters
Period: Controls the lookback period (default: 14) Phase: Adjusts the heaviness of the indicator (-100 to 100, default: 0)
Positive values reduce lag but may cause overshoot
Negative values increase smoothness but reduce responsiveness
Power: Smoothing factor (0.1-0.9, default 0.45 - usually hard-coded and not exposed)
Higher values create smoother curves
Lower values create more responsive but choppy curves
릴리즈 노트
Jurik Moving Average (JMA) is an adaptive moving average developed by Mark Jurik, widely regarded as one of the most powerful moving averages available to traders. This implementation provides a direct Pine Script translation of the reverse-engineered JMA algorithm. Original proprietary algorithm was never published.
Unlike traditional moving averages, JMA adapts to market volatility in real-time. This "triple adaptive" approach allows JMA to:
Reduce lag significantly while maintaining exceptional smoothness
React quickly during trending markets
Filter out noise during consolidation phases
Provide clearer trend signals with fewer whipsaws
JMA employs a three-stage smoothing process:
Preliminary smoothing via an adaptive EMA
Secondary smoothing using a Kalman filter with phase adjustment
Final smoothing through a unique Jurik adaptive filter
This approach combines with a dynamic volatility-based factor (alpha) that adapts to market conditions, making JMA superior to traditional moving averages in most situations.
Key Parameters
Period: Controls the lookback period (default: 14) Phase: Adjusts the heaviness of the indicator (-100 to 100, default: 0) Positive values reduce lag but may cause overshoot Negative values increase smoothness but reduce responsiveness Power: Smoothing factor (0.1-0.9, default 0.45) Higher values create smoother curves Lower values create more responsive but choppy curves
릴리즈 노트
Added Jurik Volatility Bands Fixed edge conditions Fixed calculation of vSum and aVolty
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