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A multi-harmonic trigonometric model that extrapolates price trends using Fourier series and Quinn-Fernandes algorithm for predicting future price movements and cycles.
A polynomial regression indicator that calculates complex curve-fitting relationships between price variables, enabling advanced trend analysis and least squares moving average (LSMA) generation.
A statistical indicator that transforms Least Squares Moving Average into a Z-Score, providing normalized trend analysis with adaptable color-coding to highlight market dynamics and potential reversals.
The Least Squares Moving Average (LSMA) is a trend-following indicator that calculates price trends using linear regression, providing a smoother and more responsive alternative to traditional moving averages.
An adaptive filtering technique that dynamically adjusts its parameters based on market volatility, creating a responsive trend indicator that adapts to changing price movements.
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![Fourier Extrapolator of Price w/ Projection Forecast [Loxx] chart preview](/_next/image?url=%2Fmedia%2F26112.png&w=3840&q=90&dpl=dpl_Jt27hmzh6tNsGuJ13vyBBWgv8XSW)
![Polynomial Regression Bands + Channel [DW] chart preview](/_next/image?url=%2Fmedia%2F26588.png&w=3840&q=90&dpl=dpl_Jt27hmzh6tNsGuJ13vyBBWgv8XSW)
![LSMA Z-Score [BackQuant] chart preview](https://s3.tradingview.com/t/TK5wPSVX.png?v=1711341053)
