Linear

Chandelier Exit ZLSMA Strategy Introducing a Powerful Trading Indicator: Chandelier Exit with ZLSMA If you're a trader, you know the importance of having the right tools and indicators to make informed decisions. That's why we're excited to introduce a powerful new trading indicator that combines the Chandelier Exit and ZLSMA: two widely-used and effective indicators for technical analysis. The Chandelier Exit (CE) is a popular trailing stop-loss indicator developed by Chuck LeBeau. It's designed to follow the price trend

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Autoregressive Covariance Oscillator by Tenozen Well to be honest I don't know what to name this indicator lol. But anyway, here is my another original work! Gonna give some background of why I create this indicator, it's all pretty much a coincidence when I'm learning about time series analysis. _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Well, the formula of Auto-covariance is: E{(X(t)-(t) * (X(t-s)-(t-s))}= Y_s But I don't multiply both values but rather subtract them: E{(X(t)-(t) - (X(t-s)-(t-s))}= Y_s? _

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Linear Regression Volume Profile Linear Regression Volume Profile plots the volume profile fixated on the linear regression of the lookback period rather than statically across y = 0. This helps identify potential support and resistance inside of the price channel. Settings Linear Regression Linear Regression Source: the price source in which to sample when calculating the linear regression Length: the number of bars to sample when calculating the linear regression Deviation: the number of standard deviations away fro

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Linear Regress on Price And Volume Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It assumes a linear relationship between the dependent variable and the independent variable(s) and attempts to fit a straight line that best describes the relationship. In the context of predicting the price of a stock based on the volume, we can use linear regression to build a model that relates the price of the stock (dependent variable) to the volume

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por stocktechbot

Premium Linear Regression - The Quant Science This script calculates the average deviation of the source data from the linear regression. When used with the indicator, it can plot the data line and display various pieces of information, including the maximum average dispersion around the linear regression. The code includes various user configurations, allowing for the specification of the start and end dates of the period for which to calculate linear regression, the length of the period to use for the calculation, and the data source to

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por thequantscience

VHF Adaptive Linear Regression KAMA Introduction Heyo, in this indicator I decided to add VHF adaptivness, linear regression and smoothing to a KAMA in order to squeeze all out of it. KAMA: Developed by Perry Kaufman, Kaufman's Adaptive Moving Average (KAMA) is a moving average designed to account for market noise or volatility. KAMA will closely follow prices when the price swings are relatively small and the noise is low. KAMA will adjust when the price swings widen and follow prices from a greater distance. This trend-followi

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Dynamic Linear Regression Oscillator | Adulari 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 is unusually far away from its baseline. The lines above or below it are overbought and oversold zones. These zones are based on the h

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Three Linear Regression Channels Plot three linear regression channels using alexgrover 's Computing The Linear Regression Using The WMA And SMA indicator for the linear regression calculations. Settings Length : Number of inputs to be used Source : Source input of the indicator Midline Colour : The colour of the midline Channel One, Two, and Three Multiplicative Factor : Multiplication factor for the RMSE, determine the distance between the upper and lower level Channel One, Two, and Three Colour : The channel's l

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Multi-Optimized Linear Regression Channel A take on alexgrover 's Optimized Linear Regression Channel script which allows users to apply multiple linear regression channel with unique multiplicative factors. Multiplicative Factors Adjust the amount of channels and multiplicative factors of existing or additional channels using the "Mults" input. An input of "1" creates a single linear regression channel with the multiplicative factor of one. An input of "4" creates a single linear regression channel with the multiplicative fac

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DB Change Forecast Pro DB Change Forecast Pro What does the indicator do? The DB Change Forecast Pro is a unique indicator that uses price change on HLC3 to detect buy and sell periods along with plotting a linear regression price channel with oversold and undersold zones. It also has a linear regression change forecast mode to optionally project market direction. Change is calculated by taking a two-bar change of HLC3 and dividing that by the price or, optionally, a fixed divisor. A fast-moving change cloud is

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por thefluffyones

Leavitt Convolution [CC]The Leavitt Convolution 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 similar to my Leavitt Projection script and I forgot to mention that both of these indicators are actually predictive moving averages. The Leavitt Convolution indicator doubles down on this idea by creating a prediction of the Leavitt Projection which is another prediction for the next b

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por cheatcountry

Regression Channel, Candles and Candlestick Patterns by Monty 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 a single indicator.

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por MontyTheGuy

Leavitt Projection [CC]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 be publishing, keep in mind that the concepts introduced in this script will be the same across the entire series. The recommended stra

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por cheatcountry

RSI + MA, LinReg, ZZ (HH HL LH LL), Div, Ichi, MACD and TSI Hist Relative Strength Index with Moving Average, Linear Regression, Zig Zag (Highs and Lows), Divergence, Ichimoku Cloud, Moving Average Convergence Divergence and True Strength Index Histogram This script is based on zdmre's RSI script, I revamped a lot of things and added a few indicators from ParkF's RSI script. Disable Labels in the Style tab and the histogram if you don't enlarge the indicator and it seems too small. Look to buy in the oversold area and bounce of the support of the linear reg

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por Yatagarasu_

Itakura-Saito Autoregressive Extrapolation of Price [Loxx]Itakura-Saito Autoregressive Extrapolation of Price is an indicator that uses an autoregressive analysis to predict future prices. This is a linear technique that was originally derived or speech analysis algorithms. What is Itakura-Saito Autoregressive Analysis? The technique of linear prediction has been available for speech analysis since the late 1960s (Itakura & Saito, 1973a, 1970; Atal & Hanauer, 1971), although the basic principles were established long before this by Wiener (1947).

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Relative Andean Scalping This is an experimental signal providing script for scalper that uses 2 of open source indicators. First one provides the signals for us called Andean Oscillator by @alexgrover . We use it to create long signals when bull line crosses over signal line while being above the bear line. And reverse is true for shorts where bear line crosses over signal line while being above bull line. Second one is used for filtering out low volatility areas thanks to great idea by @HeWhoMustNotBeNamed cal

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Linear Regression Channels These channels are generated from the current values of the linear regression channel indicator, the standard deviation is calculated based off of the RSI . This indicator gives an idea of when the linear regression model predicts a change in direction. You are able to change the length of the linear regression model, as well as the size of the zone. A negative zone size will make the zone stretch away from the center, and a positive zone size will make it stretch towards the centerline.

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Polynomial Regression Extrapolation [LuxAlgo]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 will readjust to any new price observation, enabling this setting allow the model to ignore new price observations, and extend the extrap

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Standard deviation channel of linear regression distance [AbAh]The indicator calculates the distance between linear regression line and the data point (price) as a percentage , then calculates the standard deviation for the linear regression distance , then draw the channel of two lines depending on the values of standard deviation . ///////// How to use //////////////// 1 - for Best result , indicator should be used on 2H frame Time of less : like 1H or 30 min 2 - The upper line and the lower line, both play a role as a support and resistance area, when

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por AbdullahAhmedEgypt

Relative slope Relative slope metric Description: I was in need to create a simple, naive and elegant metric that was able to tell how strong is the trend in a given rolling window. While abstaining from using more complicated and arguably more precise approaches, I’ve decided to use Linearly Weighted Linear Regression slope for this goal. Outright values are useful, but the problem was that I wasn’t able to use it in comparative analysis, i.e between different assets & different resolutions & different wi

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Strength A mathematically elegant, native & modern way how to measure velocity/ strength/ momentum. As you can see it looks like MACD, but !suddenly! has N times shorter code (disregard the functions), and only 1 parameter instead of 3. OMG HOW DID HE DO IT?!? MACD: "Let's take one filter (1 parameter), than another filter (2 parameters), then let's take dem difference, then let's place another filter over the difference (3rd parameter + introduction of a nested calculation), and let's write a whole boo

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Linear Channel - Scalp Strategy 15M Simple way how to use Linear Regression for trading. What we use: • Linear Regression • HMA as a trend filter Logic: Firstly we make simple linear regression moving. It is the white line which appears on the chart. Then we make second line (named: band2) on the chart by multiplying linreg and value difference. The third step is to ad HMA as a trend filter. The trade open when price is below band2, but still upper than Hullma. The trade close when price again upper than linreg.

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por TradingAmmo

regress Library "regress" produces the slope (beta), y-intercept (alpha) and coefficient of determination for a linear regression regress(x, y, len) regress: computes alpha, beta, and r^2 for a linear regression of y on x Parameters: x : the explaining (independent) variable y : the dependent variable len : use the most recent "len" values of x and y Returns: : alpha is the x-intercept, beta is the slope, an r2 is the coefficient of determination Note: the chart does not show

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Linear trend Simple way how to use Linear Regression for trading. What we use: • Linear Regression • EMA 200 as a trend filter Logic: Firstly we make two different linear regression movings as oscillator. For this we need to subtract slow moving from fast moving, so we get the single moving around zero. This is the green/red line which appears on the chart. The trade open when LR cross over the threshold. The trade close when LR cross under the threshold below. Crossing over the threshold is the same as fa

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por TradingAmmo