█ OVERVIEW A Lorentzian Distance Classifier (LDC) is a Machine Learning classification algorithm capable of categorizing historical data from a multi-dimensional feature space. This indicator demonstrates how Lorentzian Classification can also be used to predict the direction of future price movements when used as the distance metric for a novel implementation of...

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A Population Sampled linear regression model that provides additional detail about the distribution moments (skew, kurtosis, variance and mean) as well as providing indicators that track when a pivot has enough momentum to trade on as well as expected ranges of future price action based on Std Devs. For the momentum lines -- red indicates that there has been a...

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Hallo, very simple indicator in order to view trends we have two linear regressions one is the regular one that we know at length 100 the other one is lagging or past linear which is shorter at length 30 the basic idea is that when we combine both we can see trend of the current and the past linear when they cross each other and from this we can make signals....

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This little oscillator just returns the R Squared Value of current price action. It is designed to show trend direction momentum. Great for confluence!

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These unified indicators are used for a 5-minute scalping strategy. We regularly look for the RSI to be overbought and the price to be outside the bollinger bands as the main analysis. This serves as a search protocol, to then analyze the price action by visually assisting us with 4 exponential moving averages to see wear or breakout of a move. It also adds the...

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This extremely helpful indicator allows you to highlight 7 custom date-based timeframes on your charts. The default dates selected are what I consider to be the most significant 7 most recent market declines, including and since the 87 flash crash. Note: The default dates are approximate but good enough to highlight the key timeframes of these...

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Simple setups Just input two different ema, X and Y. Multiple = input Phi factor (ex: 0.38 , 0.618 , 1.618 , 3.14) Usage Grouping movements into channels to identify trend acceleration and deceleration Example usability in the BTC/USD trading pair (timeframe = 1D) => Input Setups Source = hlc3 Multiplier = 2 X Ema = 13 Y Ema = 21 How...

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How do I use it? Never use this indicator as standalone trading signal, it should be used as confluence. It is highly recommended to use this indicator on the 15m timeframe and above, try experimenting with the inverse feature and multipliers as well. When the price is above the moving average this shows the bullish trend is strong. When the price is below...

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How do I use it? Never use this indicator as standalone trading signal, it should be used as confluence. When the price is above the moving average this shows the bullish trend is strong. When the price is below the moving average this shows the bearish trend is strong. When the moving average is purple, the trend is bullish, when it is gray, the trend is...

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█ OVERVIEW WaveTrend 3D (WT3D) is a novel implementation of the famous WaveTrend (WT) indicator and has been completely redesigned from the ground up to address some of the inherent shortcomings associated with the traditional WT algorithm. █ BACKGROUND The WaveTrend (WT) indicator has become a widely popular tool for traders in recent years. WT was first...

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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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Due to popular request, this is an envelope implementation of my non-repainting Nadaraya-Watson indicator using the Rational Quadratic Kernel. For more information on this implementation, please refer to the original indicator located here: What is an Envelope? In technical analysis, an "envelope" typically refers to a pair of upper and lower bounds that...

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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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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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***************************************************************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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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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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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This indicator is a mix of 3 well known indicators the buy point is based on linear regression the sell points are based on mix of super trend and Bollinger it try to find best point to sell and buy which are independent from each other for each time frame you need to try to search for best setting alerts included

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