Reliance, INDIABULLS HOUSING, YES BANK, STATE BK OF INDIA, HDFC BANK, TATA STEEL LTD
Nifty, BSE SENSEX, S&P 500, Nasdaq Composite, FTSE 100, DAX Index
US 10Y, Euro Bund, Germany 10Y, Japan 10Y Yield, UK 10Y, India 10Y
Gold, Brent Oil, Crude Oil, CFDs on Natural Gas, Palladium, Silver
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...
My first idea about the linear regression channel... It is free and available for everybody.
This is a study geared toward identifying price trends using Quadratic regression. Quadratic regression is the process of finding the equation of a parabola that best fits the set of data being analyzed. In this study, first a quadratic regression curve is calculated, then the slope of the curve is calculated and plotted. Custom bar colors are included. The...
A quadratic regression is the process of finding the equation that best fits a set of data.This form of regression is mainly used for smoothing data shaped like a parabola. Because we can use short/midterm/longterm periods we can say that we use a Quadratic Least Squares Moving Average or a Moving Quadratic Regression. Like the Linear Regression (LSMA) a...
This indicator was originally developed by Paul Kirshenbaum, a mathematician with a Ph.D. in economics from New York University. It uses the standard error of linear regression lines of the closing price to determine band width. This has the effect of measuring volatility around the current trend, rather than measuring volatility for changes in trend. Good luck!
Price Estimator with aggregated linear regresion --------------------------------------------------------------------------- How it works: It uses 6 linear regression from time past to get an estimated point in future time, and using transparency, those areas that are move "visited" by those 6 different regressions and maybe more probable to be visited by the...
This indicator was originally developed by Donald Dorsey (Stocks & Commodities, V.13:9 (September, 1995): "Refining the Relative Volatility Index"). Inertia is based on Relative Volatility Index (RVI) smoothed using linear regression. In physics, inertia is the tendency of an object to resist to acceleration. Dorsey chose this name because he believes that trend...