Plot three linear regression channels using alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator for the linear regression calculations. Settings Length : Number of inputs to be used Source : Source input of the indicator Midline Colour : The colour of the midline Channel One, Two, and Three Multiplicative Factor :...
A take on alexgrover 's Optimized Linear Regression Channel script which allows users to apply multiple linear regression channel with unique multiplicative factors. Multiplicative Factors Adjust the amount of channels and multiplicative factors of existing or additional channels using the "Mults" input. An input of "1" creates a single linear regression...
DB Change Forecast Pro What does the indicator do? The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction. Change is...
The Leavitt Convolution indicator was created by Jay Leavitt (Stocks and Commodities Oct 2019, page 11), who is most well known for creating the Volume-Weighted Average Price indicator. This indicator is very similar to my Leavitt Projection script and I forgot to mention that both of these indicators are actually predictive moving averages. The Leavitt...
Regression Candles by ugurvu Regression Channel by Tradingview All Candlestick Patterns By Tradingview This script was combined for a friend of mine who needed this. This Script has regression candles by ugurvu, Regression channel and Candlestick patterns by tradingview. The intention was to fuse these together so more information can be processed on the cost of...
Relative Strength Index with Moving Average, Linear Regression, Zig Zag (Highs and Lows), Divergence, Ichimoku Cloud, Moving Average Convergence Divergence and True Strength Index Histogram This script is based on zdmre's RSI script, I revamped a lot of things and added a few indicators from ParkF's RSI script. Disable Labels in the Style tab and the histogram if...
OVERVIEW This is an implementation of alexgrover's R2-Adaptive Regression optimized for the latest version of TradingView. Full details on the indicator are on alexgrover's page here:
What is Faytterro Estimator? This indicator is an advanced moving average. What it does? This indicator is both a moving average and at the same time, it predicts the future values that the price may take based on the values it has taken before. How it does it? takes the weighted average of data of the selected length (reducing the weight from the middle to the...
Hi Dear Traders/Dealers! I present you here 3 lines that I developed myself base on statistical issues. +Reg. Line +Gauss Line +T.O Line -Reg. Line based on linear regression of previous inputs to make an average value. -Gauss Line based on Gaussian mean value, Standard Deviation and it uses previous inputs to make an average value. -T.O Line based on Gaussian...
Polynomial Regression Derivatives is an indicator that explores the different derivatives of polynomial position. This indicator also includes a signal line. In a later release, alerts with signal markings will be added. Polynomial Derivatives are as follows 1rst Derivative - Velocity: Velocity is the directional speed of a object in motion as an...
This is a regression channel that uses ichimoku to determine trend. The sensitivity is customizable. The centerline will change color according to the trend detected by ichimoku, and each line can act as support/resistance. The bands of the channel also change colors according to how far price is getting away from them. If you notice in this example, the lower...
Polynomial-Regression-Fitted RSI is an RSI indicator that is calculated using Polynomial Regression Analysis. For this one, we're just smoothing the signal this time. And we're using an odd moving average to do so: the Sine Weighted Moving Average. The Sine Weighted Moving Average assigns the most weight at the middle of the data set. It does this by weighting...
Polynomial-Regression-Fitted Oscillator is an oscillator that is calculated using Polynomial Regression Analysis. This is an extremely accurate and processor intensive oscillator. What is Polynomial Regression? In statistics, polynomial regression is a form of regression analysis in which the relationship between the independent variable x and the dependent...
This indicator displays polynomial regression channels fitted using data within a user selected time interval. The model is fitted using the same method described in our previous script: Settings Degree: Degree of the fitted polynomial Width: Multiplicative factor of the model RMSE. Controls the width of the polynomial regression's channels Timeframe:...
█ OVERVIEW This indicator displays 3 timeframes of parallel channel using linear regression calculation to assist manual drawing of chart patterns. This indicator is not true Multi Timeframe (MTF) but considered as Alternative MTF which calculate 100 bars for Primary MTF, can be refer from provided line helper. The timeframe scenarios are defined based on...
This is an experimental signal providing script for scalper that uses 2 of open source indicators. First one provides the signals for us called Andean Oscillator by @alexgrover . We use it to create long signals when bull line crosses over signal line while being above the bear line. And reverse is true for shorts where bear line crosses over signal line...
These channels are generated from the current values of the linear regression channel indicator, the standard deviation is calculated based off of the RSI . This indicator gives an idea of when the linear regression model predicts a change in direction. You are able to change the length of the linear regression model, as well as the size of the zone. A negative...
This indicator fits a polynomial with a user set degree to the price using least squares and then extrapolates the result. Settings Length: Number of most recent price observations used to fit the model. Extrapolate: Extrapolation horizon Degree: Degree of the fitted polynomial Src: Input source Lock Fit: By default the fit and extrapolated result...