regression

lejmer

What's this all about? Ever since 1D arrays were added to Pine Script, many wonderful new opportunities have opened up. There has been a few implementations of matrices and matrix math (most notably by TradingView-user tbiktag in his recent Moving Regression script: ). However, so far, no comprehensive...

tbiktag

Introducing the Robust Channel indicator. This indicator is based on a remarkable property of robust statistics , namely, the resistance​ to the presence of data points that deviate significantly from the established trend (generally speaking, outliers ). Being outlier-resistant, the Robust Channel indicator “remembers” a pre-existing trend and thus exhibits...

DanielLiu

This script was modified to fit ethereum logarithmic pricing action.

ugurvu

There are many linear regression indicators out there, most of them draw lines or channels, but this one actually draws a chart.

tbiktag

Following the introduction of the Moving Regression Prediction Bands indicator (see link below), I'd like to propose how to utilize it in a simple band breakout strategy : Go long after the candle closes above the upper band . The lower band (alternatively, the lower band minus the 14-period ATR or the central line ) will serve as a support line . ...

tbiktag

Introducing the Moving Regression Prediction Bands indicator. Here I aimed to combine the principles of traditional band indicators (such as Bollinger Bands), regression channel and outlier detection methods. Its upper and lower bands define an interval in which the current price was expected to fall with a prescribed probability, as predicted by the...

LonesomeTheBlue

Hello Traders, Linear Regression gives us some abilities to calculate the trend and if we combine it with volume then we may get very good results. Because if there is no volume support at up/downtrends then the trend may have a reversal soon. we also need to check the trend in different periods. With all this info, I developed Volume-Supported Linear...

tbiktag

Moving Regression is a generalization of moving average and polynomial regression. The procedure approximates a specified number of prior data points with a polynomial function of a user-defined degree. Then, polynomial interpolation of the last data point is used to construct a Moving Regression time series. Application: Moving Regression allows one to smooth...

capissimo

Multi-timeframe Strategy based on Logistic Regression algorithm Description: This strategy uses a classic machine learning algorithm that came from statistics - Logistic Regression (LR). The first and most important thing about logistic regression is that it is not a 'Regression' but a 'Classification' algorithm. The name itself is somewhat misleading....

DevLucem

Due to public demand Linear Regression Formula Scraped Calculation With Alerts Here is the Linear Regression Script For traders Who love rich features Features ++ Multi time frame -> Source Regression from a different Chart ++ Customized Colors -> This includes the pine lines ++ Smoothing -> Allow Filtered Regression; Note: Using 1 Defaults to the original...

tbiktag

Introducing the Delta-RSI Oscillator. This oscillator is a time derivative of the RSI, plotted as a histogram and serving as a momentum indicator. The derivative is calculated explicitly by means of local polynomial regression. It is designed to provide minimum false and premature buy/sell​ signals compared to many traditional momentum indicators such as...

memotyka9009

This script is a combination of different logarithmic regression fits on weekly BTC data. It is meant to be used only on the weekly timeframe and on the BLX chart for bitcoin. The "fair value" line is still subjective, as it is only a regression and does not take into account other metrics.

ucsgears

Version 2 - Linear Regression Slope. This version will have more freedom on picking your own length for all the Inputs. One of the main reason I changed it is because, Slope calculation on transition period was not being computed properly. Because the Version 1, looks back the length assigned, and compute the slope based on two candle readings, could be 10 days...

RicardoSantos

Description: A function that returns a polynomial regression and deviation information for a data set. Inputs: _X: Array containing x data points. _Y: Array containing y data points. Outputs: _predictions: Array with adjusted _Y values. _max_dev: Max deviation from the mean. _min_dev: Min deviation from the mean. ...

alexgrover

Return a linear regression channel with a window size within the range (min, max) such that the R-squared is maximized, this allows a better estimate of an underlying linear trend, a better detection of significant historical supports and resistance points, and avoid finding a good window size manually. Settings Min : Minimum window size value Max :...

alexgrover

Introduction Forecasting is a blurry science that deal with lot of uncertainty. Most of the time forecasting is made with the assumption that past values can be used to forecast a time series, the accuracy of the forecast depend on the type of time series, the pre-processing applied to it, the forecast model and the parameters of the model. In tradingview we...

NorthStarDayTrading

**DESIGNED FOR ES/MES** This script provides an easy visualization of potential reversion zones to take trades back to the intraday midline. A common use would be to enter a position once price reached the outer yellow zones and retreats to either the red zone (for a short toward the midline) or a green zone (for a long back to the midline).

DonovanWall

This is an experimental study which calculates a linear regression channel over a specified period or interval using custom moving average types for its calculations. Linear regression is a linear approach to modeling the relationship between a dependent variable and one or more independent variables. In linear regression, the relationships are modeled using...