- Ideas
- Markets
- Cryptocurrencies
- Currencies
- Stocks
- Earnings Calendar
- Stock Screener
- Large-Cap
- Top Gainers
- Top Losers
- Most Active
- Most Volatile
- Overbought
- Oversold
- All Time High
- All Time Low
- Sector & Industry

LAND SECURITIES GROUP PLC ORD 10 2/3P, BURFORD CAPITAL LIMITED ORD NPV, SXX, BIDSTACK GROUP PLC ORD 0.5P, LLOYDS BANKING GROUP PLC ORD 10P, TCG

- Indices
FTSE 100, DAX Index, Euro Stoxx 50, S&P 500, Nasdaq Composite, Nikkei 225

- Futures
- Bonds
US 10Y, Euro Bund, Germany 10Y, Japan 10Y Yield, UK 10Y, India 10Y

- CFDs
Gold, Brent Oil, Crude Oil, CFDs on Natural Gas, Palladium, Silver

- Scripts
- Oscillators
- Centered Oscillators
- Volatility
- Trend Analysis
- Volume
- Moving Average
- Exponential Moving Average (EMA)
- Weighted Moving Average (WMA)
- Simple Moving Average (SMA)
- Hull Moving Average (HMA)
- Kaufman's Adaptive Moving Average (KAMA)
- Smoothed Moving Average (SMMA)
- Variable Index Dynamic Average (VIDYA)
- Volume-weighted Moving Average (VWMA)
- Fractal Adaptive Moving Average (FRAMA)
- Double Exponential Moving Average (DEMA)

- Breadth Indicators
- Bill Williams Indicators

- Screener
- Brokers
- Chart
- More

Top authors: regression

Recent

All time

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...

661

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...

1857

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...

392

This is my first public release of indicator code and my PSv4.0 version of "Linear Regression Channel", as it is more commonly known. It replicates TV's built-in "Linear Regression" without the distraction of heavy red/blue fill bleeding into other indicators. We can't fill() line.new() at this time in Pine Script anyways. I entitled it Linear Regression Trend...

337

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...

260

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...

181

Corrected Version, for VERSION - 2 () updated for Custom Length, and fixed some formula glitches.

245

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,...

157

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...

167

The original script was posted on ProRealCode by user Nicolas. This is an indicator made of the linear regression applied to the rate of change of price (or momentum). I made a simple signal line just by duplicating the first one within a period decay in the past, to make those 2 lines cross. You can add more periods decay to made signal smoother with less false entry.

222

Tested on 5m TF with EURUSD. Settings should be modified appropriately for other TFs, lookbacks and securities. This indicator does not repaint.

57

Hot off the press, I present this next generation "Leavitt Convolutions Multicator" employing PSv4.0, originally formulated by Jay Leavitt, Ph.D. for TASC - January 2020 Traders Tips. Basically it's an all-in-one combination of three Leavitt indicators. This triplet indicator, being less than a 60 line implementation at initial release, is a heavily modified...

148

This is version 1 of the Linear Regression Slope. In ideal world the Linear regression slope values will remain same for any time period length. because the equation is y = mx+b, where m is the slope. All I did here is m = y/x The Main Purpose of this indicator is to see, if the Trend is accelerating or decelerating. The first Blue bar will caution when a...

387

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!

71

Introduction Back when i started using pine i made a script called periodic channel who aimed to rescale an average correlated sine wave to the price...don't worked very well. So i tried to fix problems induced by the indicator without much success, i had to redo it from scratch while abandoning the idea of rescaling correlated smooth functions to the price, at...

100

Regression Oscillator indicator script. This indicator was originally developed by Richard Goedde (Stocks & Commodities V.15:3, Timing A Stock Using The Regression Oscillator).

104

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).

66

Community & Tools

For Business

© 2020 TradingView.
Made with

Select market data provided by ICE Data Services