Noisefilter

Iteratively Reweighted Least Squares Range Filter [Jamallo]Intro Iteratively Reweighted Least Squares Range Filter Most filters treat every bar equally. This one doesn't. The IRLS Range Filter uses a robust statistical engine to continuously evaluate how much each bar in the lookback window should be trusted — down-weighting noisy data and rejecting outliers entirely — before computing a consensus price level. The result is a smoother, more honest trend line that is far less susceptible to wicks, gaps, and volatile noise than conventional moving a

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Iteratively Reweighted Least Squares (IRLS) [Jamallo]Author's Note: This script is published as a unique mathematical contribution to TradingView's open-source public library. It is intended to introduce a novel application of a robust statistical method for the community and developers to study, adapt, and build upon, rather than to serve as a standalone, out-of-the-box trading strategy. Introduction Almost all moving averages and smoothing filters in technical analysis treat historical price data equally or apply a fixed mathematical deca

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Trend Sniper v2.5 - Haar Wavelet Edition [Jamallo]Author's Note: The previous Trend Sniper v2.5 was built around a 2-Pole Butterworth Super Smoother with Parkinson historical volatility driving the trailing stops. This edition replaces that entire core with a Maximal Overlap Discrete Wavelet Transform (MODWT) using Haar basis functions and a Vervoort ATR trailing stop . Where the Butterworth produced smooth, continuous curves, the Haar wavelet produces structural steps — only updating when true market movement exceeds the calculated no

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Two Poles Trend Finder MTF [BigBeluga]🔵 OVERVIEW Two Poles Trend Finder MTF is a refined trend-following overlay that blends a two-pole Gaussian filter with a multi-timeframe dashboard. It provides a smooth view of price dynamics along with a clear summary of trend directions across multiple timeframes—perfect for traders seeking alignment between short and long-term momentum. 🔵 CONCEPTS Two-Pole Filter: A smoothing algorithm that responds faster than traditional moving averages but avoids the noise of short-term fluctu

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SuperTrend: Silent Shadow 🕶️ SuperTrend: Silent Shadow — Operate in trend. Vanish in noise. Overview SuperTrend: Silent Shadow is an enhanced trend-following system designed for traders who demand clarity in volatile markets and silence during indecision. It combines classic Supertrend logic with a proprietary ShadowTrail engine and an adaptive Silence Protocol to filter noise and highlight only the cleanest signals. Key Features ✅ Core Supertrend Logic Built on Average True Range (ATR), this trend engine ide

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por Sherlock_MacGyver

Smoothed Heiken Ashi Trend Filter This indicator applies the Heiken Ashi technique with added smoothing and trend filtering to help reduce noise and improve trend detection. Components of the Indicator: Heiken Ashi Calculations: Heiken Ashi Close (ha_close): This is the smoothed average of the current bar’s open, high, low, and close prices, calculated with a simple moving average (SMA) to filter out noise. Heiken Ashi Open (ha_open): This is the average of the previous Heiken Ashi Open and the current Heiken Ashi Close. I

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Kaufman Adaptive Moving Average (KAMA) Strategy [TradeDots]"The Kaufman Adaptive Moving Average (KAMA) Strategy" is a trend-following system that leverages the adaptive qualities of the Kaufman Adaptive Moving Average (KAMA). This strategy is distinguished by its ability to adjust dynamically to market volatility, enhancing trading accuracy by minimizing the effects of false and delayed signals often associated with the Simple Moving Average (SMA). HOW IT WORKS This strategy is centered around use of the Kaufman Adaptive Moving Average (KAMA) indica

Estrategia

EchoMorphicAverage Library "EchoMorphicAverage" Original Self Referencing Moving Average which references it's own output agsainst itself and the incoming source to dynamically alter smoothness and length internally per calculation cycle. @kaigouthro Inputs are float length series. Contact Me for More Dynamic Float Length Indicators. wema(src, mod, len) Waited Echo-Morphic Average Parameters: src : (float) input value mod : (float) modifier(0-1) mix of current value len : (float) l

Biblioteca

Heikin Ashi Count Objective: This indicator aims to obtain an oscillator indicating the trend of a market by minimizing noise through the use of Heikin Ashi candles. The idea is to make the oscillator tend towards 100 at each bullish Heikin Ashi candle, and inversely towards 0 when bearish. The advantage is that this indicator has little noise compared to the RSI, but also little lag compared to the Schaff Trend Cycle, which are the two indicators that inspired me to create this one. Usage: As a general rule,

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