Regressão Linear

Adaptive Market Profile – Auto Detect & Dynamic Activity Zones Adaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most rele

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Dynamic S/R System - Pivot + Channel Dynamic S/R System - Pivot + Channel A comprehensive Support & Resistance indicator combining dual methodologies for institutional-grade price level analysis 📊 CORE FEATURES Dual Detection System • Pivot-Based Levels - Historical turning points with intelligent touch counting • Dynamic Channel S/R - Trend-aware linear regression boundaries • Smart Level Management - Auto-merges similar levels, removes weak/outdated ones Volume Integration • Multi-timeframe volume analysis us

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por lazy_capitalist

Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi. It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle. 🔶 USAGE Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price m

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Bitcoin Power Law [LuxAlgo]The Bitcoin Power Law tool is a representation of Bitcoin prices first proposed by Giovanni Santostasi, Ph.D. It plots BTCUSD daily closes on a log10-log10 scale, and fits a linear regression channel to the data. This channel helps traders visualise when the price is historically in a zone prone to tops or located within a discounted zone subject to future growth. 🔶 USAGE Giovanni Santostasi, Ph.D. originated the Bitcoin Power-Law Theory; this implementation places it directly on a Tra

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TrueTrend MaxR The TrueTrend MaxR indicator is designed to identify the most consistent exponential price trend over extended periods. It uses statistical analysis on log-transformed prices to find the trendline that best fits historical price action, and highlights the most frequently tested or traded level within that trend channel. For optimal results, especially on high timeframes such as weekly or monthly, it is recommended to use this indicator on charts set to logarithmic scale. This ensures proper vis

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Linear Regression Slope The Linear Regression Slope provides a quantitative measure of trend direction. It fits a linear regression line to the past N closing prices and calculates the slope, representing the average rate of price change per bar. To ensure comparability across assets and timeframes, the slope is normalized by the ATR over a shorter window. This produces a volatility-adjusted measure which allows for the slope to be interpreted relative to typical price fluctuations. Mathematically, the slope is der

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LinReg Heikin Ashi Candles Linear Regression Heikin Ashi Candles will dramatically change how the candlesticks on your chart will appear. This script creates Heikin Ashi candles from the existing candlesticks and then applies wickless Linear Regression candles as an overlay. The result is an ultra smoothed 'Renko-like' chart that remains time-based and responsive. Key Features: Heikin Ashi Base: Provides a smoother representation of price trends by filtering out noise. Linear Regression Candles on Heikin Ashi:

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por B3AR_Trades

Change of Character Fan Change of Character Fan Overview The Change of Character Fan is designed to help traders detect shifts (changes of character) in market direction and sentiment before they become fully visible through traditional candlestick analysis. Instead of relying solely on the shape or close of candlesticks, this indicator offers a direct, real-time look at the internal price action occurring within a single bar. This visibility into intrabar dynamics can potentially allow traders to enter or exit trades

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por garysebastianbrowniii

Rolling Beta against SPY 📈 Pine Script Showcase: Rolling Beta Against SPY Understanding how your favorite stock or ETF moves in relation to a benchmark like the S&P 500 can offer powerful insights into risk and exposure. This script calculates and visualizes the rolling beta of any asset versus the SPY ETF (which tracks the S&P 500). 🧠 What Is Beta? Beta measures the sensitivity of an asset's returns to movements in the broader market. A beta of: - 1.0 means the asset moves in lockstep with SPY, - >1.0 indicates highe

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Leavitt Convolution Probability Technical Analysis of Markets with Leavitt Market Projections and Associated Convolution Probability The aim of this study is to present an innovative approach to market analysis based on the research "Leavitt Market Projections." This technical tool combines one indicator and a probability function to enhance the accuracy and speed of market forecasts. Key Features Advanced Indicators : the script includes the Convolution line and a probability oscillator, designed to anticipate market c

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por dPEngineering

Linear Regression Volume Profile [ChartPrime]LR VolumeProfile This indicator combines a Linear Regression channel with a dynamic volume profile, giving traders a powerful way to visualize both directional price movement and volume concentration along the trend. ⯁ KEY FEATURES Linear Regression Channel: Draws a statistically fitted channel to track the market trend over a defined period. Volume Profile Overlay: Splits the channel into multiple horizontal levels and calculates volume traded within each level. Pe

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Multi-Anchored Linear Regression Channels [TANHEF]█ Overview: The 'Multi-Anchored Linear Regression Channels ' plots multiple dynamic regression channels (or bands) with unique selectable calculation types for both regression and deviation. It leverages a variety of techniques, customizable anchor sources to determine regression lengths, and user-defined criteria to highlight potential opportunities. Before getting started, it's worth exploring all sections, but make sure to review the Setup & Configuration section in particular. It co

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LinearRegression Library "LinearRegression" Calculates a variety of linear regression and deviation types, with optional emphasis weighting. Additionally, multiple of slope and Pearson’s R calculations. calcSlope(_src, _len, _condition) Calculates the slope of a linear regression over the specified length. Parameters: _src (float) : (float) The source data. _len (int) : (int) The length of the lookback period for the linear regression. _condition (bool) : (bool) Flag to enable calculatio

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Autocorrelation Price Forecasting [The Quant Science]Discover how to predict future price movements using autocorrelation and linear regression models to identify potential trading opportunities. An advanced model to predict future price movements using autocorrelation and linear regression. This script helps identify recurring market cycles and calculates potential gains, with clear visual signals for quick and informed decisions. Main function This script leverages an autocorrelation model to estimate the future price of an asset based on

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por thequantscience

Segment Regression As an example of the descriptive power of Pine Script, this very short example traces a 'segment regression', a result not entirely obvious with so few lines of code, repositioning them when the previous inference moves away from the graph beyond the pre-set limit. A trick used is to restart the new inference segment - from the maximum reached in the previous trend, when positive (slope>0) - from the minimum reached in the previous trend, when negative (slope<0) The result can in my opinion be

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por federicosimoncini62

Xmaster Formula Indicator [TradingFinder] No Repaint Strategies 🔵 Introduction The Xmaster Formula Indicator is a powerful tool for forex trading, combining multiple technical indicators to provide insights into market trends, support and resistance levels, and price reversals. Developed in the early 2010s, it is widely valued for generating reliable buy and sell signals. Key components include Exponential Moving Averages (EMA) for identifying trends and price momentum, and MACD (Moving Average Convergence Divergence) for analyzing trend strength and dire

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por TradingFinder

NVOL Normalized Volume & Volatility OVERVIEW Plots a normalized volume (or volatility) relative to a given bar's typical value across all charted sessions. The concept is similar to Relative Volume (RVOL) and Average True Range (ATR), but rather than using a moving average, this script uses bar data from previous sessions to more accurately separate what's normal from what's anomalous. Compatible on all timeframes and symbols. Having volume and volatility processed within a single indicator not only allows you to toggle between

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por liquid-trader

Prediction Based on Linreg & Atr We created this algorithm with the goal of predicting future prices 📊, specifically where the value of any asset will go in the next 20 periods ⏳. It uses linear regression based on past prices, calculating a slope and an intercept to forecast future behavior 🔮. This prediction is then adjusted according to market volatility, measured by the ATR 📉, and the direction of trend signals, which are based on the MACD and moving averages 📈. How Does the Linreg & ATR Prediction Work? 1. Trend Calculat

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Linear Regression Channel [TradingFinder] Existing Trend Line 🔵 Introduction The Linear Regression Channel indicator is one of the technical analysis tool, widely used to identify support, resistance, and analyze upward and downward trends. The Linear Regression Channel comprises five main components : the midline, representing the linear regression line, and the support and resistance lines, which are calculated based on the distance from the midline using either standard deviation or ATR. This indicator leverages linear regression to forecast pric

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por TradingFinder

Linear Regression Channel Screener [Daveatt]Hello traders First and foremost, I want to extend a huge thank you to @LonesomeTheBlue for his exceptional Linear Regression Channel indicator that served as the foundation for this screener. Original work can be found here: Overview This project demonstrates how to transform any open-source indicator into a powerful multi-asset screener. The principles shown here can be applied to virtually any indicator you find interesting. How to Transform an Indicator into a Screener Step 1: Id

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Adaptive Linear Regression Channel Overview The Adaptive Linear Regression Channel Script is an advanced, multi-functional trading tool crafted to help traders pinpoint market trends, identify potential reversals, assess volatility, and establish dynamic levels for profit-taking and position exits. By incorporating key concepts such as linear regression , standard deviation , and other volatility measures like the ATR , the script offers a comprehensive view of market behavior beyond traditional deviation metrics. This dyn

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por Lenny_Kiruthu

Linear Regression Channel Ultimate Key Features and Benefits Logarithmic scale option for improved analysis of long-term trends and volatile markets Activity-based profiling using either touch count or volume data Customizable channel width and number of profile fills Adjustable number of most active levels displayed Highly configurable visual settings for optimal chart readability Why Logarithmic Scale Matters The logarithmic scale option is a game-changer for analyzing assets with exponential growth or high volatili

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Normalized Linear Regression (LSMA) Oscillator Normalized Linear Regression (LSMA) Oscillator By Nathan Farmer The Normalized LSMA Oscillator is a trend-following indicator that enhances the classic Linear Regression (LSMA) by applying a range of normalization techniques. This indicator allows traders to smooth out and normalize LSMA signals for better trend detection and dynamic market adaptation. Key Features: Configurable Normalization Methods: This indicator offers several normalization techniques, such as Z-Score, Min-Max, Mean

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por nathanfarmer

Trend Following Regression Cloud Trend Following Regression Cloud Indicator The Trend Following Regression Cloud is a versatile trading tool designed to help you effortlessly identify the market's prevailing trend. By analyzing price movements over multiple time frames, it provides a clear visual representation of whether the market is trending upwards or downwards. How It Works: - Adaptive Analysis: The indicator calculates linear regression lines over various periods ranging from short-term to long-term (e.g., 10, 20, 50,

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por UnknownUnicorn13336802