> In the constructor in TensionKalman, it has
>   super(fastNoise, fastNoise);
>  should it not be:
>  super(fastNoise, slowNoise); ?
>
>
Yes, that was a typo.

>addParam(FAST_ERROR, 0, 20, 1, 0);*
*
>has 0 as the last parameter. I understand the significance
>of the first four parameters for a search algorithm.
> I am not sure what the last
>parameter, value, signifies within the optimization algorithm context.

The first three values, "min", "max", and "step" are used by the optimizers.
The last value is the actual parameter value used when the strategy is
running in the back testing, forward testing, and trading modes.


>The other area where the problem may lie is in the optimization step.
> I would expect the measurement_noise values to be somewhere between
> 0 and 1. For fast_error it may be 0.01 and for slow_error perhaps ten
times
>that, 0.1.

I didn't realize the error should scale between 0 and 1. I've made
modifications in the attached version to reflect it.

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