RSI + RVGI Definition The Relative Vigor Index (RVI) is based on the likelihood of prices closing higher than the open in market uptrends, and similarly, closing lower than the open in downtrends. The Relative Vigor Index compares the closing price of a security or asset to its trading range. Calculations To calculate the Relative Vigor Index (RVI), follow the...
Description: This dynamic linear regression oscillator visualizes the general price trend of specific ranges in the chart based on the linear regression calculation, it automatically determines these ranges with pivot detection. The central line of the indicator is the baseline of the linear regression itself. This is a good tool to use to determine when a price...
Plots new linear regression channels from points where a previous channel is broken thus keeping the length of bars in the trend dynamic. Regression channels are useful in detecting trend changes, support and resistance levels and to trade mean reversions. Note: Setting higher values of upper and lower deviation may result in error if the price never breaks the...
There are several Linear Regression indicator in the Public Library, but I don't think there is one that converts the Linear Regression (LR) curve into angle in degrees, relative to a set reference frame. Due to the large price range between tickers, creating this indicator isn't as straight forward as I originally thought. For example, given the same time period,...
Hello Traders ! Note : This is my very first published script on trading view & from brainstorming an idea to developing to the finched product it was imperative to me for the indiactor and every one of its features to be of some meaningfull use. If you like the idea of statsitics being able to predict future prices in the market then this indicator may be...
A method of visualising whether an EMA is moving at a faster rate than in previous bars. It uses a linear regression analysis to plot a line of best fit to an exponential moving average of the price (the purple dashed line on the chart). The gradient of this line of best fit is then compared to the gradient of the line of best fit over a range of previous...
This indicator is best suited for mean reversion trading, shorting at the upper band and buying at the lower band, but it can be used in all the same ways as a standard bollinger band. It differs from a normal bollinger band because it is centered around the linear regression line, as opposed to the moving average line, and uses the linear regression of the...
What is "Linear Average Price"? "Linear Average Price" is both a trend and an overbought oversold indicator . What it does? it creates a trendline and trading zones. How it does it? To create the trend line, it averages the difference between each data and chooses it as the slope of the line it creates. then it positions this line so that it passes right through...
GKYZ-Filtered, Non-Linear Regression MA is a Non-Linear Regression of price moving average. Use this as you would any other moving average. This also includes a Garman-Klass-Yang-Zhang Historical Volatility Filter to reduce noise. What is Non-Linear Regression? In statistics, nonlinear regression is a form of regression analysis in which observational data...
Fourier Spectrometer of Price w/ Extrapolation Forecast is a forecasting indicator that forecasts the sinusoidal frequency of input price. This method uses Linear Regression with a Fast Fourier Transform function for the forecast and is different from previous forecasting methods I've posted. Dotted lines are the forecast frequencies. You can change the UI...
DB LinReg Price Channel What does the indicator do? This indicator is very simple and designed to plot a quick linear regression channel for high, hlc3, and low. It allows the symbol and timeframe to be configured in the settings. The purpose of the indicator is to obtain a price channel for the desired timeframe with outliers removed. How should this...
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...
The Leavitt Projection 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 simple but is also the building block of many other indicators, so I'm starting with the publication of this one. Since this is the first in a series I will...
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:
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...
Real-Fast Fourier Transform of Price w/ Linear Regression is a indicator that implements a Real-Fast Fourier Transform on Price and modifies the output by a measure of Linear Regression. The solid line is the Linear Regression Trend of the windowed data, The green/red line is the Real FFT of price. What is the Discrete Fourier Transform? In mathematics, the...
Cycle-Period Adaptive, Linear Regression Slope Oscillator is an osciallator that solves for the Linear Regression slope and turns it into an oscillator. This is a very simple calculation and uses one of Ehler's first implementations of his cycle period calculations. The output slope value is smoothed after calculation and before being drawn. This is a sort of...
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...