Extrapolator
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Description:The indicator is based on several methods that can be chosen by the Method input variable: Method 1: Fourier’s extrapolation; the frequencies are calculated using the QuinnFernandes Algorithm Method 2: Autocorrelation Method Method 3: Weighted Burg Method Method 4: Burg Method with HelmeNikias weighting function Method 5: ItakuraSaito (geometric) method Method 6: Modified covariance method Methods 26 are the methods of linear prediction. The linear prediction is based on finding the future values as the linear functions of the past values. Assume that we have a number of prices x[0]..x[n1] where the higher index is compliant with the recent price. The prediction of the future price x[n] is calculated as x[n] = Sum(a[i]*x[ni], i=1..p) where a[i=1..p] – coefficients of the model, p – order of the model. The listed methods 26 find the coefficients a[] by decreasing the meanrootsquare error on the training last np bars. Of course, we can reach the zero error of prediction if we directly solve the set of equations mentioned above with n=2*p by the LevinsonDurbin method. Such method of prediction is called Prony Method. Its disadvantage is the instability during the prediction of the future values of the series. That’s way this method has not been included. The other input parameters are: LastBar – the number of the last bar in the past data PastBars – the number of past bars used for the prediction of the future values LPOrder – the order of the linear model as a fraction from the number of the past bars (0..1) FutBars – the number of future bars in the prediction HarmNo – the maximum number of frequencies for the Method 1 (0 means all frequencies) FreqTOL – the imprecision of the frequeincies calculation for the Method 1 (if it is >0.001 it can’t converge) BurgWin – the number of the weighting function for the Method 2 (0=Rectangular 1=Hamming 2=Parabolic) The indicator draws two lines: the blue line shows the prices of the model on the training bars, the red line shows the predicted future prices. Examples: Method 1 (the extrapolation of Fourier series) Method 3 (Burg’s method) Method 6 (Modified Covariance Method) Petition: If somebody will be successful in developing a profitable EA based on this indicator I ask to share his/her ideas via the email specified inside the code. 