ba_pig

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In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation at lag 1 (AR(1) process) in the residuals (prediction errors) from a regression analysis. With the new array function tradingview implemented, we are able to do our calculations on the residuals. The residual is given by subtracting the actual value (in...

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The Hurst exponent is used as a measure of long-term memory of time series. It relates to the autocorrelations of the time series and the rate at which these decrease as the lag between pairs of values increases. The Hurst exponent is referred to as the "index of dependence" or "index of long-range dependence". It quantifies the relative tendency of a time series...

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Autocorrelation, also known as serial correlation, is the correlation of a signal with a delayed copy of itself as a function of delay. This indicator displays autocorrelation based on lag number. The autocorrelation is not displayed based on time on the x-axis. It's based on the lag number which is from 1 to 50. The calculations can be done with "Log...

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This indicator is a standard RSI plus its EMA ("control zones" are highlighted as well). However, we have added 2 panels to provide relevant information about the price at critical levels for the RSI plus when it crosses its EMA. You also have the ability to manually enter a value fort he RSI and see what the price is going to need to be for RSI to generate that...

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Pearson correlation coefficient measures the linear correlation between two variables. It has a value between +1 and −1, where 1 is total positive linear correlation, 0 is no linear correlation and −1 is total negative linear correlation. It’s often denoted by r for sample correlation and ρ for population correlation. Note: Pearson Correlation only measures...