What is Nadaraya–Watson Regression? Nadaraya–Watson Regression is a type of Kernel Regression, which is a non-parametric method for estimating the curve of best fit for a dataset. Unlike Linear Regression or Polynomial Regression, Kernel Regression does not assume any underlying distribution of the data. For estimation, it uses a kernel function, which is a...

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This is a combination of the Lux Algo Nadaraya-Watson Estimator and Envelope. Please note the repainting issue. In addition, I've added a plot of the actual values of the current barstate of the Nadaraya-Watson windows as they are computed (lines 92-95). It only plots values for the current data at each time update. It is interesting to compare the trajectory...

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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...

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What is "Faytterro Estimator Strategy"? "Faytterro Estimator Strategy" is strategy of faytterro estimator. if you want to know more about faytterro estimator: What it does? It trades according to the signals given by faytterro estimator and some additional restrictions. How it does it? Using the faytterro estimator and the following variables, it gives buy...

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Alternative & UPDATED version of my previous indicator for spread trading. This indicator can work pretty well also with other indices or correlated assets such as nasdaq100 and dax40. The spikes from one side of the channel or the orizzontal lines signal a possible entry signal for a spread trading strategy.

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This is the LinReg-MACD indicator. It issues Buy and Sell signals based on linear regression candles along with a SMA slope filter. It also uses the MACD as confluence for these signals. It also has a LSMA filter. All values are adjustable and there are check boxes for use on different candles. I find it works better for me when swinging higher timeframes like the 1 hour.

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What is Faytterro Estimator? This indicator is an advanced moving average. What it does? This indicator is both a moving average and at the same time, it predicts the future values that the price may take based on the values it has taken before. How it does it? takes the weighted average of data of the selected length (reducing the weight from the middle to the...

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Hi Dear Traders/Dealers! I present you here 3 lines that I developed myself base on statistical issues. +Reg. Line +Gauss Line +T.O Line -Reg. Line based on linear regression of previous inputs to make an average value. -Gauss Line based on Gaussian mean value, Standard Deviation and it uses previous inputs to make an average value. -T.O Line based on Gaussian...

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This script is pretty self-explanatory. I will suggest trying some different exits to get that win rate above 20% (I'd start with Take Profit and Stop Loss percentages). Enjoy!

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█ OVERVIEW TASC's September 2022 edition of Traders' Tips includes an article by Vitali Apirine titled "The Linear Regression-Adjusted Exponential Moving Average". This script implements the titular indicator presented in this article. █ CONCEPT The Linear Regression-Adjusted Exponential Moving Average (LRAdj EMA) is a new tool that combines a linear...

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Polynomial Regression Bands w/ Extrapolation of Price is a moving average built on Polynomial Regression. This indicator paints both a non-repainting moving average and also a projection forecast based on the Polynomial Regression. I've included 33 source types and 38 moving average types to smooth the price input before it's run through the Polynomial...

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Polynomial Regression Derivatives is an indicator that explores the different derivatives of polynomial position. This indicator also includes a signal line. In a later release, alerts with signal markings will be added. Polynomial Derivatives are as follows 1rst Derivative - Velocity: Velocity is the directional speed of a object in motion as an...

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This indicator fits a polynomial with a user set degree to the price using least squares and then extrapolates the result. Settings Length: Number of most recent price observations used to fit the model. Extrapolate: Extrapolation horizon Degree: Degree of the fitted polynomial Src: Input source Lock Fit: By default the fit and extrapolated result...

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***************************************************************NO BIAS, NO GUESSING, JUST MATH****************************************************************************************** This script includes open-source code from the following authors: HPotter ChrisMoody LonesomeTheBlue mejialucas Thank you authors for publishing your work This script was...

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Here is my logarithmic regression bands based on non-bubble data. I've shifted the bands to fit key areas which hopefully will have confluence for years to come. Hope others find this useful! Best used on the Weekly time frame but is visible on lower. Make sure your chart is set to LOG.

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Match with the MM Chop Filter This draw Non repainting range boxes when the oscillator see a range. -Breakout Buy/Sell Signals and Exit signals when prices enters a range just in case you did get into a trade. . -Alarms to match the signals How to use Match with the oscillator and always trade the trend with your strategy confirmation and the breakout this...

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This is an accumulation/distribution indicator for BTC/USD (D) based on variations of 1400D and 120D moving averages and logarithmic regression. Yellow plot signals Long Term Accumulation, which is based on 1400D (200W) ALMA, orange plot signals Mid Term Accumulation and is based on 120D ALMA, and finally the red plot signals Long Term Distribution...

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This is a fast trend line regressor based on least squares regression. (1) Supports setting regression from the Nth candle (2) Supports the minimum and maximum regression candle interval length (3) Supports finding the optimal regression region based on the length step among the minimum and maximum regression region lengths (4) Supports displaying the optimal...

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