| DEMA |
Double Exponential MA |
Reduces lag by applying double exponential smoothing, enhancing responsiveness while maintaining signal quality. |
| DSMA |
Deviation-Scaled MA |
Adaptive IIR filter that adjusts its smoothing factor based on market volatility, increasing responsiveness during high-deviation periods. |
| EMA |
Exponential MA |
Applies exponentially decreasing weights to price data, balancing responsiveness and stability. |
| FRAMA |
Fractal Adaptive MA |
Adapts smoothing based on fractal dimension analysis, minimizing lag in trends and maximizing smoothing in consolidation. |
| HEMA |
Hull Exponential MA |
Hybrid of Hull and exponential moving averages using logarithmic coefficient distribution and cubic acceleration for reduced lag and noise suppression. |
| HTIT |
Hilbert Transform Instantaneous Trend |
Utilizes Hilbert Transform to isolate the instantaneous trend component, providing a zero-lag trendline with hybrid FIR-in-IIR design. |
| JMA |
Jurik MA |
Adaptive filter achieving high noise reduction and low phase delay through multi-stage volatility normalization and dynamic parameter optimization. |
| KAMA |
Kaufman Adaptive MA |
Automatically adjusts sensitivity based on market volatility using an Efficiency Ratio, balancing responsiveness and stability. |
| LTMA |
Linear Trend MA |
Projects the linear trend of price data using linear regression, focusing on the endpoint of the trendline. |
| MAMA |
MESA Adaptive MA |
Applies Hilbert Transform for phase-based adaptation, using a dual-line system (MAMA/FAMA) for cycle-sensitive smoothing. |
| MGDI |
McGinley Dynamic Indicator |
Adjusts speed based on market volatility using a dynamic factor, aiming to hug prices closely. |
| MMA |
Modified MA |
Combines simple and weighted components, emphasizing central values for balanced smoothing. |
| QEMA |
Quadruple Exponential MA |
Four-stage cascade architecture for superior lag reduction and noise suppression through progressive smoothing optimization. |
| REMA |
Regularized Exponential MA |
Applies regularization to EMA using a lambda parameter, balancing smoothing and momentum-based prediction. |
| RGMA |
Recursive Gaussian MA |
Approximates Gaussian smoothing by recursively applying EMA filters multiple times (passes), controlled by an adjusted period. |
| RMA |
wildeR MA (SMMA, MMA) |
Wilder's smoothing average using a specific alpha (1/period), designed for indicators like RSI and ATR. |
| T3 |
Tillson T3 MA |
Six-stage EMA cascade with optimized coefficients based on a volume factor for reduced lag and superior noise reduction. |
| TEMA |
Triple Exponential MA |
Triple-cascade EMA architecture with optimized coefficients (3, -3, 1) for further lag reduction compared to DEMA. |
| VIDYA |
Variable Index Dynamic Average |
Adjusts smoothing factor based on market volatility using a Volatility Index (ratio of short-term to long-term standard deviation). |
| ZLDEMA |
Zero-Lag Double Exponential MA |
Hybrid dual-stage predictive architecture combining two ZLEMAs with optimized 1.5/0.5 coefficients for reduced lag and noise suppression. |
| ZLEMA |
Zero-Lag Exponential MA |
Reduces lag by estimating future price based on current momentum, using a dynamically calculated lag period. |
| ZLTEMA |
Zero-Lag Triple Exponential MA |
Advanced triple-cascade predictive architecture combining three ZLEMAs with optimized 2/2/1 coefficients for maximum lag reduction. |