Fourier Extrapolator of Price w/ Projection Forecast [Loxx]
A multi-harmonic trigonometric model that extrapolates price trends using Fourier series and Quinn-Fernandes algorithm for predicting future price movements and cycles.
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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 Fast Fourier Transform (FFT) algorithm that decomposes time series data into cyclical frequency components, enabling advanced time series filtering and analysis.
A bandpass filter indicator analyzing price motion through 11 spectral filters, enabling traders to predict future price highs and lows using cyclic price components.
A sophisticated volatility indicator that uses Fourier analysis to adapt ATR calculations, providing deeper insights into market cycles and price movements beyond traditional volatility measurements.
An advanced cycle period detector that analyzes market data spectral estimates to identify dominant cycles and frequencies in price action, providing insights into market rhythms and potential trend movements.
A sophisticated oscillator by John F. Ehlers that uses two-pole highpass and lowpass filters to create a flexible, normalized indicator that captures specific market cycle frequencies.
The Cycles Master Indicator reveals cyclical patterns in market trends by aligning cycle lines with price peaks and determining cycle frequencies through adjustable parameters.
A Money Flow Index enhanced with Discrete Fourier Transform smoothing to filter market noise and provide clearer trend identification through advanced frequency analysis.
The Optimal Buy Day indicator analyzes historical price data to identify the most advantageous days for monthly investments, comparing systematic and randomized buying strategies.
A trading indicator that visualizes price levels with significant trading activity, using frequency or volume profile to reveal market structure and trading dynamics.
An advanced trading indicator combining Quinn-Fernandes Fourier Transform and Hodrick-Prescott Filter to analyze financial time series, identifying dominant market cycles and trends.
The Ultimate Smoother is a digital filter that reduces high-frequency noise while preserving low-frequency price trends, offering a unique approach to smoothing financial data with minimal lag.
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