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Infinite Impulse Response (IIR) Trends and Predictors

Indicator Name Description
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.