I agree. That is why I am puzzled. 

I wanted to get a better feel for the way Kalman filter class was working.

First, I took your KalmanTest.java and TensionKalman.java classes and, to make 
things simple, removed one of the kalman filters. So, only kalmanFastPrice is 
left.

Then, I modified thegetPostState( ) method in TensionKalman, so it would return 
a 2-element array double[] kalmanResult, where kalmanResult[0] held the 
smoothed 
price and kalmanResult[1] held the error covariance for this smoothed price. 

Then, in calculate( ) method in TensionKalman, I added the following 
line: out.println(price + "," + kalmanResult[0]); 


I ran a backtest on the strategy, just to get the values of the price and 
smoothed price. Per your advice, I copied and pasted into Excel the values of 
price and kalmanResult[0] (i.e. smoothed price). 


When I ran the backtest again, with different FAST_ERROR value, I noticed that 
the price values were lagged relative to the first run.

I tried with several more FAST_ERROR values and each time got a different shift 
in the price time series.

If you repeat those steps above, you should be able to reproduce the problem. I 
ran the backtest on ES test file on a single date: Aug. 12, 2009. 


________________________________
From: nonlinear5 <[email protected]>
To: [email protected]
Sent: Wed, December 15, 2010 10:10:46 PM
Subject: Re: [JBookTrader] Re: Status of Kalman filter?

Please explain how to reproduce the problem. The price should not be affected 
by 
indicator parameters.

On Wednesday, December 15, 2010 10:10:18 PM UTC-5, Alexana wrote: 

>I see a very puzzling behavior in JBT, which may be important.
>
>I have been looking at Kalman filter as a replacement for EMA. The parameter 
>Measurement Noise serves the same function for Kalman filter as Period for 
>EMA. 
>So, I am optimizing the Measurement Noise to control the level of smoothing 
>that 
>the filter provides.
>
>As per Eugene's suggestion below, I have added the following line to the 
>calculate( ) method:
>
>System.out.println(price + ","+ kalmanResult[0]); 
> 
>I then copied the output and pasted it into Excel. The puzzling thing is that 
>the values of price changed when the parameter value is changed from the 
>backtest GUI in JBT. Of course I would expect that the value of 
>kalmanResult[0] 
>would change in response to changing parameter, but the values of price should 
>remain constant. If the values of price are affected by changes in the value 
>of 
>the parameter, then the backtester may not be working properly.
> 
>I used ES test file in my backtest and ran the backtest for one day only, Aug. 
>12, 2009.
>
>
________________________________
From: nonlinear5 <[email protected]>
>To: JBookTrader <[email protected]>
>Sent: Mon, December 6, 2010 4:36:13 PM
>Subject: [JBookTrader] Re: Status of Kalman filter?
>
>> Eugene, I have added the process noise to your code and am trying to 
replicate
>> the graphs for Kalman and EMA that you have posted below. Is there a feature 
>in
>> JBT to create those graphs or did you have to export the data to external
>> package?  
>>
>
>No, there is no direct support for that in JBT. What I did was simply
>print a comma-separated list of indicator values from the
>onBookSnapshot method, and then copy and save the output in a file,
>which can then be imported to Excel. Example:
>            double priceKalmanFast = priceKalmanFastInd.getValue();
>            double priceKalmanSlow = priceKalmanSlowInd.getValue();
>            double priceEMAFast = priceEMAFastInd.getValue();
>            double priceEMASlow = priceEMASlowInd.getValue();
>            double price = getMarketBook().getSnapshot(). getPrice();
>            System.out.println(price + "," + priceEMAFast + "," + priceEMASlow
>+ "," + priceKalmanFast + "," + priceKalmanSlow);
>
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