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Inertial Stochastic [LuxAlgo]The Inertial Stochastic indicator introduces a novel approach to oscillator smoothing by implementing "Forced Persistence," a technique that achieves stability at the mathematical source rather than through traditional lagging filters. By dynamically optimizing the lookback period on every bar to minimize the variation between consecutive values, the tool effectively creates an inertial effect that resists erratic market noise and "sawtooth" fluctuations. This provides a significant advantage

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Stochastic Adaptive %D [LuxAlgo]The Stochastic Adaptive %D Difference Oscillator indicator provides a sophisticated alternative to classic momentum oscillators, prioritizing a balance between high-grade smoothing and adaptive reactivity. By calculating the divergence between a pre-smoothed Stochastic %D and a specialized Adaptive %D signal line, this tool highlights momentum shifts with significantly reduced noise while maintaining the ability to react quickly to trend accelerations. 🔶 USAGE This indicator is designed for

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Auto Trend Drawing [LuxAlgo]The Auto Trend Drawing indicator summarizes price action into a smooth, continuous curve that highlights the primary market direction and structure. It is mostly a fun and silly experiment in reproducing users attempts at drawing trends on the chart using the brush tool. This indicator is subject to repainting and is displayed retrospectively based on the most recent price data. 🔶 USAGE The Auto Trend Drawing tool provides a clean, visual representation of the current market "flow" by st

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Phase Regression Oscillator [LuxAlgo]The Phase Regression Oscillator indicator is a cycle analysis tool that uses an analytical linear least squares fit to extract the instantaneous phase of a specified frequency relative to price action. By solving a system of normal equations on every bar, the script determines the "best fit" sine wave for a rolling window, providing a high-resolution view of the market's cyclical state. 🔶 USAGE The indicator is designed to identify the current stage of a market cycle by fitting a theoretical

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Harmonic Resonance Oscillator [LuxAlgo]The Harmonic Resonance Oscillator indicator provides a specialized oscillator that decomposes price action into multiple harmonic cycles to identify confluence in market rotations. By isolating short, medium, and long-term frequencies, the tool aims to pinpoint exhausted price movements and potential reversal zones through the concept of cyclic resonance. 🔶 USAGE The Harmonic Resonance Oscillator can be used to identify market turning points by observing when the aggregate cycle resonance

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Filter Volume 1. Indicator Name Filter Volume 2. One-line Introduction A regression-based trend filter that quantifies and visualizes market direction and strength using price behavior. 3. Overall Description Filter Volume+ is a trend-detection indicator that uses linear regression to evaluate the dominant direction of price movement over a given period. It compares historical regression values to determine whether the market is in a bullish, bearish, or neutral state. The indicator applies a percentage

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IIR One-Pole Price Filter [BackQuant]IIR One-Pole Price Filter A lightweight, mathematically grounded smoothing filter derived from signal processing theory, designed to denoise price data while maintaining minimal lag. It provides a refined alternative to the classic Exponential Moving Average (EMA) by directly controlling the filter’s responsiveness through three interchangeable alpha modes: EMA-Length , Half-Life , and Cutoff-Period . Concept overview An IIR (Infinite Impulse Response) filter is a type of recursive f

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Standardized Cumulative Deltas [LuxAlgo]The Standardized Cumulative Deltas tool allows traders to compare the cumulative standardized open-close difference for up to 10 different tickers, allowing them to visualize the general sentiment for all selected tickers. These results allow the construction of two areas showing the average or extreme bullish and bearish cumulative change for all enabled tickers, providing a summarized view of the overall ticker group sentiment. 🔶 USAGE This tool is meant to give a full picture of th

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Kalman Filter (Smoothed)The Kalman Filter is a recursive statistical algorithm that smooths noisy price data while adapting dynamically to new information. Unlike simple moving averages or EMAs, it minimizes lag by balancing measurement noise (R) and process noise (Q), giving traders a clean, adaptive estimate of true price action. 🔹 Core Features Real-time recursive estimation Adjustable noise parameters (R = sensitivity to price, Q = smoothness vs. responsiveness) Reduces market noise without heavy lag Overlay o

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Adaptive Momentum Oscillator [LuxAlgo]The Adaptive Momentum Oscillator tool allows traders to measure the current relative momentum over a given period using the maximum delta in price. It features a histogram with gradient color, divergences, and an adaptive moving average that allows traders to clearly see the smoothed trend direction. 🔶 USAGE This unbounded oscillator has positive momentum when values are above 0 and negative momentum when values are below 0. The adaptive moving average is used as a minimum lag smoothi

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Forward-Backward Exponential Oscillator [LuxAlgo]The Forward-Backward Exponential Oscillator is a normalized oscillator able to estimate directional shifts by making use of a unique "Forward-Backward Filtering" calculation method for Exponential Moving Averages (EMAs). This unique method provides a smooth normalized representation of the price with reduced lag. 🔶 USAGE The oscillator consists of 2 series of values derived from normalizing the sum of each EMA's change across the selected user lookback window (length), one less reacti

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Adaptive Fisherized Z-score Hello Fellas, It's time for a new adaptive fisherized indicator of me, where I apply adaptive length and more on a classic indicator. Today, I chose the Z-score, also called standard score, as indicator of interest. Special Features Advanced Smoothing: JMA, T3, Hann Window and Super Smoother Adaptive Length Algorithms: In-Phase Quadrature, Homodyne Discriminator, Median and Hilbert Transform Inverse Fisher Transform (IFT) Signals: Enter Long, Enter Short, Exit Long and Exit Short Bar Color

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Machine Learning: Anchored Gaussian Process Regression [LuxAlgo]Machine Learning: Anchored Gaussian Process Regression is an anchored version of Machine Learning: Gaussian Process Regression . It implements Gaussian Process Regression (GPR), a popular machine-learning method capable of estimating underlying trends in prices as well as forecasting them. Users can set a Training Window by choosing 2 points. GPR will be calculated for the data between these 2 points. Do remember that forecasting trends in the market is challenging, do not use this tool as

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Machine Learning: Gaussian Process Regression [LuxAlgo]We provide an implementation of the Gaussian Process Regression (GPR), a popular machine-learning method capable of estimating underlying trends in prices as well as forecasting them. While this implementation is adapted to real-time usage, do remember that forecasting trends in the market is challenging, do not use this tool as a standalone for your trading decisions. 🔶 USAGE The main goal of our implementation of GPR is to forecast trends. The method is applied to a subset of the most

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Savitzky-Golay Filtered Chande Momentum Oscillator The Savitzky-Golay Filtered Chande Momentum Oscillator (SGCMO) is a modified version of the Chande Momentum Oscillator that functions as a powerful analytical tool, capable of detecting trends and mean reversals. By applying a Savitzky-Golay filter to the price data, the oscillator provides enhanced visualization and smoother readings. (credit to © anieri for the Savitzky-Golay filter code: www.tradingview.com) Chande Momentum Oscillator The Chande Momentum Oscillator (CMO) is a technical indic

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by profitprotrading

Kalman Filtered ROC & Stochastic with MA Smoothing The "Smooth ROC & Stochastic with Kalman Filter" indicator is a trend following tool designed to identify trends in the price movement. It combines the Rate of Change (ROC) and Stochastic indicators into a single oscillator, the combination of ROC and Stochastic indicators aims to offer complementary information: ROC measures the speed of price change, while Stochastic identifies overbought and oversold conditions, allowing for a more robust assessment of market trends and potential reversals. T

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by profitprotrading

ALMA Smoothed Gaussian Moving Average This indicator is an altered version of the Gaussian Moving Average (GMA) (Credit to author: © LeafAlgo ). The GMA applies weights to the prices, giving more importance to the values closer to the current period and gradually diminishing the significance of older prices. The ALMA Smoothed Gaussian Moving Average (ASGMA) applies an ALMA smoothing to its price data to minimize lag and provide a more accurate representation of the underlying trend by dynamically adapting to changing market conditio

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by profitprotrading

MTF Evolving Weighted Composite Value Area 🧾 Description: This indicator calculates evolving value areas across 3 different timeframes/periods and combines them into one composite, multi-timeframe evolving value area - with each of the underlying timeframes' VAs assigned their own weighting/importance in the final calculation. Layered with extra smoothing options, this creates an informative and useful 'rolling value area' effect that can give you a better perspective on the value area across multiple periods at once as it develops - wi

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by DarkWaveAlgo

T3 JMA KAMA VWMA Enhancing Trading Performance with T3 JMA KAMA VWMA Indicator Introduction In the dynamic world of trading, staying ahead of market trends and capitalizing on volume-driven opportunities can greatly influence trading performance. To address this, we have developed the T3 JMA KAMA VWMA Indicator, an innovative tool that modifies the traditional Volume Weighted Moving Average (VWMA) formula to increase responsiveness and exploit high-volume market conditions for optimal position entry. This art

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MathEasingFunctions Library "MathEasingFunctions" A collection of Easing functions. Easing functions are commonly used for smoothing actions over time, They are used to smooth out the sharp edges of a function and make it more pleasing to the eye, like for example the motion of a object through time. Easing functions can be used in a variety of applications, including animation, video games, and scientific simulations. They are a powerful tool for creating realistic visual effects and can help to make your work

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by RicardoSantos

Adaptive Fusion ADX Vortex Introduction The Adaptive Fusion ADX DI Vortex Indicator is a powerful tool designed to help traders identify trend strength and potential trend reversals in the market. This indicator uses a combination of technical analysis (TA) and mathematical concepts to provide accurate and reliable signals. Features The Adaptive Fusion ADX DI Vortex Indicator has several features that make it a powerful tool for traders. The Fusion Mode combines the Vortex Indicator and the ADX DI indicator to provide

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Ehlers Data Sampling Relative Strength Indicator [CC]The Data Sampling Indicator was created by John Ehlers (Stocks and Commodities Mar 2023) and this is a genius method to reduce noise in the market data but also doesn't introduce any lag while doing so. The way this works is because traditionally, people have always relied on the close price as the default input for many indicators such as the RSI or MACD as examples. Since the open is usually virtually identical to the previous close, it has been ignored by most people but Ehlers discovered tha

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by cheatcountry

VHF Adaptive Linear Regression KAMA Introduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-followi

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Multi SMI Ergodic Oscillator The Multi SMI Ergodic Oscillator (Multi SMIEO) indicator can be used to identify potential buy and sell signals based on the relationship between the TSI and EMA lines. The script is creating an indicator that plots multiple (3) sets of Time Series Indicator (TSI-Indicator) and Exponential Moving Average (EMA-Signal) lines as a single indicator. The TSI is a momentum oscillator that helps identify overbought and oversold conditions. It is calculated using the close prices of an asset, a short

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