Here is another amazing script for you guys
Target Audience
++ Programmers
++ Linear Regression Enthusiasts
Please Use this Indicator If you understand the risk posed by linear regression; ill explain some below
Features
++ Raw Formulae for the linear regression
--I understand that tradingview explanation on how the linreg function works is not clear to...
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.
...
Based on oryginal TV indicator BUT with a little twist. ;)
I really like the regression channel - but the problem is that the length needs to be always manually adjusted.
In this script I try to solve this issue.
This is modified version on TV indicator - Linear Regression Channel.
The main difference is that now you don't get static length - it is...
Logarithmic regression is used to model data where growth or decay accelerates rapidly at first and then slows over time. This model is for the long term series data (such as 10 years time span).
The user can consider entering the market when the price below 25% or 5% confidence and consider take profit when the price goes above 75% or 95% confidence line.
This...
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...
EXPERIMENTAL:
Forecasting using a polynomial regression over the estimates of multiple linear regression forecasts.
note: on low data the estimates are skewd away of initial value, i added the i_min_estimate option in to try curve this issue with limited success "o_o.
This script is written totally thanks to Alex Grover (). Here it is implemented in conjunction with the seasonal forecast I showed in one of my previous posts. It takes the calculated QReg curve and extends its last section (Season) into the future (Forecasted periods).
Description:
A Function that returns a linear regression channel using (X,Y) vector points.
Inputs:
_X: Array containing x data points.¹
_Y: Array containing y data points.¹
Note:
¹: _X and _Y size must match.
Outputs:
_predictions: Array with adjusted _Y values at _X.
_max_dev: Max deviation from the mean.
_min_dev:...
Plot a linear regression channel through the last length closing prices, with the possibility to use another source as input. The line is fit by using linear combinations between the WMA and SMA thus providing both an interesting and efficient method. The results are the same as the one provided by the built-in linear regression, only the computation differ.
...
This study is an experimental regression curve built around fractal and ATR calculations.
First, Williams Fractals are calculated, and used as anchoring points.
Next, high anchor points are connected to negative sloping lines, and low anchor points to positive sloping lines. The slope is a specified percentage of the current ATR over the sampling period.
The...
Introduction
Technical analysis make often uses of classical statistical procedures, one of them being regression analysis, and since fitting polynomial functions that minimize the sum of squares can be achieved with the use of the mean, variance, covariance...etc, technical analyst only needed to replace the mean in all those calculations with a moving average,...
Logarithmic regression of the USD price of Bitcoin , calculated according to the equation:
y=A*exp(beta*x^lambda + c) + m*x + b
where x is the number of days since the genesis block. All parameters are editable in the script options.
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...
Library "FunctionPolynomialFit"
Performs Polynomial Regression fit to data.
In statistics, polynomial regression is a form of regression analysis in which
the relationship between the independent variable x and the dependent variable
y is modelled as an nth degree polynomial in x.
reference:
en.wikipedia.org
www.bragitoff.com
gauss_elimination(A, m, n) ...
This indicator is basically the standard linear regression but adjusted to be suitable for log scale.
You can use 2 different standard deviation values, choose the data source and lookback length.
The colors are chosen directly on the main menu.
Enjoy!
![EURUSD: [RS]Auto Regression Channel V0](https://s3.tradingview.com/n/NP3rMfop_mid.png "[RS]Auto Regression Channel V0")
![BTCUSD: Fractal Regression Bands [DW]](https://s3.tradingview.com/c/cL5qHRnJ_mid.png "Fractal Regression Bands [DW]")
![PENN: Robust Channel [tbiktag]](https://s3.tradingview.com/e/ebHg6bb0_mid.png "Robust Channel [tbiktag]")
