Regressão Linear

Moving Regression Band Breakout strategy 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 . Exit as soon as the candle closes below the support line . To manage the risk of false breakouts, a fixed stop loss is set to the val

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Moving Regression Prediction Bands 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 previous-step result of the local polynomial regression (for the original Moving Regression script, see link below). Algorithm 1. At eve

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Nico's SPX Dynamic Channels Test of dynamic channels and some statistics made by hand. This indicator was done specifically for the S&P500 index. As you can see, below the 125 EMA there's a lot more volatility than in the upside. I've made some kind of a dynamic linear regression of the lows and the highs. I've chosen the MA that best fits the SPX, and then calculated in Excel the percental mean and SDs of most important peaks and valleys that I've chosen in comparison to the 125 MA. This lead to the green, orange and

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Forecast Oscillator The Forecast Oscillator is a technical indicator that compares a security close price to its time series forecast. The time series forecast function name is "tsf" and it calculates the projection of the price trend for the next bar. The Forecast Oscillator and therefore the time series forecast are based on linear regression. The time series forecast indicator is equal to the sum of two other indicators: the linear regression (LinearReg) and the linear regression slope (LinearReg_Slope). If

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por KivancOzbilgic

Volume-Supported Linear Regression Trend 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 Regression Trend script. The script checks linear regression of price and volume and then calculates trend direction and strength. You have

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por LonesomeTheBlue

Theil–Sen Estimator The Theil-Sen estimator is a nonparametric statistics method for robustly fitting a regression line to sample points (1,2). As stated in the Wikipedia article (3), the method is " the most popular nonparametric technique for estimating a linear trend " in the applied sciences due to its robustness to outliers and limited assumptions regarding measurement errors. Relation with other Methods The Theil-Sen estimator can be significantly more accurate than simple linear regression (least squa

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Linear Regression 123 (Log Scale)Linear Regression at 1/-1, 2/-2 3/-3 deviations using Log Scale.

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Exponential Regression Slope Annualized with R-squared Histogram My other indicator shows the linear regression slope of the source. This one finds the exponential regression slope and optionally multiplies it by R-squared and optionally annualizes it. Multiplying by R-squared makes sure that the price movement was significant in order to avoid volatile movements that can throw off the slope value. Annualizing the exponential slope will let you see how much percentage you will make in a year if the price continues at its current pace. The annualized number i

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por SparkyFlary

Linear Regression 123 Linear Regression at 1/-1, 2/-2 3/-3 deviations.

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Moving Regression 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 noise on the analyzed chart, assess momentum, confirm trends, and establish areas of support and resistance. In addition, it can be us

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Linear Regression - Reverse Up/Down Strategy For my first foray into pine script I took the code from the generic "Consecutive up/down" and flipped the logic. I added a linear regression filter to try and stay with the overall trend. ATR added for visual, I eventually want to use it as part of the money management. Rules to open trade or close the opposite: IF the linear regression slope is >=0 AND the last candle closes lower, BUY IF the linear regression slope is <=0 AND the last candle closes higher SELL Rules to close the opposite

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por bruce.lesko

Pearsons R historic breaks ( for making strategy out of it )Pearsons R adjustments of linear regressions is a good tool to analyse visually the trend basis channeling of the market, one of the common challenges in the scripts which i came across the tradingview community is the lack of the historic places put over the charts where the price actually crossed up/below the channel boundaries, For me in order to do so we would have to replay the scripts over and over. So I came up with an addon extension to a good script on the community () I have added

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Daily Play Ace Spectrum So the idea of the Daily Play Ace Spectrum is to extend the Ace Spectrum . By exposing more parameters, making a variation of the Ace Spectrum which is more configurable. The idea is this makes the Daily Play Ace Spectrum more suitable for use on shorter (hourly and minute) time scales. These specific parameters exposed still maintain the original form of the original Ace Spectrum, but loosen up the hard coded assumptions of the original indicator. By exposing more parameters this n

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por sheganinans

Linear Regression Channel Hello Traders, There are several nice Linear Regression Channel scripts in the Public Library. and I tried to make one with some extra features too. This one can check if the Price breaks the channel and it shows where is was broken. Also it checks the momentum of the channel and shows it's increasing/decreasing/equal in a label, shape of the label also changes. The line colors change according to direction. using the options, you can; - Set the Source (Close, HL2 etc) - Set the Channel le

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por LonesomeTheBlue

Ace Spectrum Analyze exponential trends, a line in log chart is exponential in an absolute chart.

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por sheganinans

Linear Regression Slope Histogram This is the slope of linear regression plotted as a histogram. It has a threshold for the slope in case there is a minimum slope amount that the user wants for it to show green or red. The color shows a dim and bright effect depending on the direction of the slope to better show its rise and fall. You can set the length of the slope in the input setting screen. Some interesting things about linear regression slope that I found out: It kind of looks like the histogram of ADX or the directional m

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por SparkyFlary

Variable Linear Regression With Pearsons R Oscillator This is the Oscillator that is meant to go with the Variable Linear Regression With Pearsons R Script. Set this to match the settings you have on the other script. To use this, you want to do trades something like this: The bottom -0.80 (green line) means that the trend is very strong in the upward direction. This almost always means it's about to finish its trend soon and reverse the other direction. If you see the other linear regression lines also coincide with this result it would best

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por Gentleman-Goat

Variable Linear Regression With Pearsons R This script allows you to set a variable number of linear regressions with alternating colors you can select. It will have a partner oscillator script shortly so you can see how the different trends change and interact with each other over time. The script is currently very slow if you set the period for the linear regression too high. I recommend not going past 100. Works very well on the high time frames for this reason. Anyone that knows of a faster way to run these calculations please l

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por Gentleman-Goat

Donchian Blaster Release Note: Keeping in mind of getting full potential of Donchian Channels, As part of this script, Linear Regression is used as primary source to identify trend and execute the trades. Hull Moving Average given as alternative option in place of Linear regression. Linear Regression: Linear regression used to identify trend, trade setup, and stop. Based on this, Color fillings on Donchian channels is updated. That will give clear idea of strength or weakness in any trading instruments.

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Linear Regression (Log Scale)This code is a slightly modified version of Tradingviews' built-in "linear regression" script which can be correctly plotted on logarithmic charts.

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Logarithmic regression Logarithmic regression (or known as Tseng's tunnels), 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. Technical issues *The user have to pan over the chart from the beginning to the end of the study range (such

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por BillionaireLau

Adjacent HMA Stop Release Note: This indicator script setup is published to identify the strength and ride the trends. HMA: HMA 100 period is used as default. However this can be changed as per wish. Major turning points or decisions can be made using this HMA line. Purple color is used to identify this. This can be used as the final extreme stop for any trend before it turns. Adjacent Line: Blue colored Adjacent line can be used to determine the trend strength or ride the trend till it slows down. Whe

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Polynomial Regression Bands + Channel [DW]This is an experimental study designed to calculate polynomial regression for any order polynomial that TV is able to support. This study aims to educate users on polynomial curve fitting, and the derivation process of Least Squares Moving Averages (LSMAs). I also designed this study with the intent of showcasing some of the capabilities and potential applications of TV's fantastic new array functions. Polynomial regression is a form of regression analysis in which the relationship between the

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por DonovanWall

RSI with Self-Adjusting Linear Regression Bands (Expo)RSI with Self-Adjusting Linear Regression Bands (Expo) makes use of RSI and Linear Regression to create an RSI that follows the current trend. The indicator has an upper and lower self-adjusting Linear Regression Band that act as RSI boundaries. HOW TO USE The indicator can be used in multiple ways, for instance, to find overbought and oversold areas. Or to identify trends as well as pullbacks in trends. INDICATOR IN ACTION This indicator is a modification of RafaelZioni's work "

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