Spectral

Butterworth Spectral Trend [QuantAlgo]🟢 Overview The Butterworth Spectral Trend is a trend-following indicator built on a 2-pole Butterworth SuperSmoother rather than fixed moving averages or crossover logic. It extracts a low-noise spectral trend path from price, optionally stretches or compresses that path’s cutoff from residual signal-to-noise conditions, then converts filter slope into direction with hysteresis and hold controls so traders can separate genuine trend turns from short-lived noise across every timeframe and mar

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Wavelet Energy Oscillator Wavelet Energy Oscillator What it does The Wavelet Energy Oscillator decomposes price into three cycle bands at once — fast, mid and slow — and shows two things together: a single composite momentum line (in σ units) and a live energy spectrum telling you which band currently drives the market. Why this is different (and original) Cycle and dominant-period tools lock onto one period and follow it. The problem is that markets hand control between timescales: a fast, choppy regime gives way t

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by Market_Logic_India

Omni-Flow Consensus [LuxAlgo]The Omni-Flow Consensus indicator is a high-performance momentum and liquidity oscillator designed to visualize the directional pressure behind price movements through volume-weighted aggression and adaptive smoothing. It provides a comprehensive view of market regimes, identifying high-conviction capital injections while filtering out low-probability market noise. 🔶 USAGE The indicator is designed to be used as a primary trend-confirmation tool. Unlike standard oscillators that only trac

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Weighted Fourier Transform: Spectral Gating & Main Frequency 🙏🏻 This drop has 2 purposes: 1) to inform every1 who'd ever see it that Weighted Fourier Tranform does exist, while being available nowhere online, not even in papers, yet there's nothing incredibly complicated about it, and it can/should be used in certain cases; 2) to show TradingView users how they can use it now in dem endevours, to show em what spectral filtering is, and what can they do with all of it in diy mode. ... so we gonna have 2 sections in the description Section 1: Weighted F

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Quick scan for cycles 🙏🏻 The followup for As I told before, ML based algorading is all about detecting any kind of non-randomness & exploiting it (cuz allegedly u cant trade randomness), and cycles are legit patterns that can be leveraged But bro would u really apply Fourier / Wavelets / 'whatever else heavy' on every update of thousands of datasets, esp in real time on HFT / nearly HFT data? That's why this metric. It works much faster & eats hell of a less electicity, will do initial rough filtering of time

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