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NosTraderMusLR

30 USD

Demo downloaded: 5

Published: 19 March 2023

Current version: 1.0

NosTraderMusLR

Indicators
Victor Gauto
Victor Gauto
Argentina

474
https://www.linkedin.com/in/victorgauto/

1 comment
Version: 1.0
Activations: 5

LINEAR REGREESION INDICATOR ==>

The indicator represents the Linear Regression Line and the Support and Resistance lines, obtained based on the standard deviation with respect to the Linear Regression. Customization: The following values can be adjusted:

Rango Tendencia: The number of bars or periods, within the considered time frame, taken as a reference for the indicator.
AmpDesv: The amplitude or number of times to consider the standard deviation of the linear regression for its representation.
Colores: It is possible to choose colors from a palette for the representation of each line.

The Linear Regression indicator is used to measure the relationship between two variables, in this case, price and time. The indicator plots a straight line through the closing prices of an asset over a specified period and is used to identify the direction of the market trend. If the regression line is rising, it indicates that the market is in an uptrend, and if it is falling, it indicates a downtrend.

The main advantage of using the Linear Regression indicator is that it allows traders to identify entry and exit points in the market more accurately. Additionally, it is also useful for establishing support and resistance levels, which can help traders determine profit targets and stop losses.

Linear Regression Line

A linear regression line is a mathematical model used in statistics to describe the relationship between two variables (in our case, prices and time). It is a straight line that fits the data points (closing prices) and represents the central tendency of the data. This line is used to predict the value of one variable (price) based on the value of the other variable (time), assuming that the behavior of future prices is based on past prices.

To calculate the linear regression line, the least squares method is used, which involves minimizing the distance between the points and the line. The slope of the line represents the change in the dependent variable for each change in the independent variable, while the intercept represents the value of the dependent variable when the independent variable is zero.

Standard deviation of a linear regression

The standard deviation of a linear regression is a measure used in statistics to measure the variability of data around the regression line. The deviation is calculated from the residuals, which are the differences between the observed values and the values predicted by the regression line. The standard deviation of a linear regression is important because it provides information about the accuracy of the regression line. A low standard deviation indicates that the data is very close to the regression line and that it is a good approximation of the data. A high standard deviation indicates that the data is very scattered and that the regression line is not a good approximation of the data. However, in the case of trading financial instruments and considering market dynamics, the magnitude of the standard deviation should be interpreted as follows: a low standard deviation indicates low volatility and a high standard deviation indicates higher volatility in the instrument or asset subject to analysis for the considered period.

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discount ends soon original price 69 $ ZORYK — Advanced XAUUSD Signal System for MetaTrader 4 You know the feeling. You spend time analyzing gold. You wait for the entry. You finally open the trade, and price immediately moves against you. You close too early, move the Stop Loss, or hesitate for a few seconds. Then the market reaches the exact destination you originally expected without you. The direction was not always the problem. The real problem was uncertainty. You did not know exactl

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125 USD

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100 USD

NosTraderMus_RegLin_PRO Professional Expert Advisor with Linear Regression, MTF filters, and active trade management Recommended: start testing on the M5 (5-minute) timeframe. NosTraderMus_RegLin_PRO is designed for traders who want quantitative, disciplined, and repeatable trading. The EA detects value zones using a linear regression channel and only trades when the context supports it (RSI, DeMarker, multi-timeframe momentum, volume, and spread), while managing each position actively and adapt

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RegLin Polinómico – Polynomial Regression Bands with Intelligent Filters RegLin Polinómico is a professional indicator that fits a polynomial (degree 1 , 2 , or 3 ) over a rolling price window and builds dynamic bands from the standard deviation of the fit’s residuals . It includes RSI (with selectable timeframe) and a trend-only option to filter out low-quality breakouts. You can also enable/disable sound when visual signals (arrows) are generated. How it works Fits a configurable-degree polyno

600 USD

DUNA — Algorithmic Forex Trading Expert Advisor DUNA is a professional Expert Advisor (EA) designed for automated trading in the Forex market. Built on a disciplined algorithmic framework, DUNA continuously analyzes market behavior and executes trades based on predefined rules without emotional or discretionary intervention. The system monitors price movements in real time and identifies moments when market conditions become favorable for a potential trade. By applying a structured decision mode

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NosTraderMus LinearRegressionBands MT5 — Linear Regression Bands with RSI & Signal Arrows NosTraderMus LinearRegressionBands MT5 is a professional MetaTrader 5 indicator that plots a regression line over a rolling price window and builds dynamic bands from the standard deviation of the fit residuals . On top of this statistical channel it integrates an RSI filter (with selectable timeframe) and buy/sell arrows when objective extreme + confirmation conditions are met. It aims for clear, disciplin

100 USD

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Victor Gauto