Calculate Stochastic Formula on a array (non indicator buffer array)

Hi,
I need to calculate the stochastic formula on a array, this array is not a indicator buffered array. This is my code:

double
SmallestBuffer[],
LargestBuffer[],
COTIndex[];

int
COTIndexPeriod=13, //similar to Stochastic %K period
position=0;
ArrayResize(SmallestBuffer, ArraySize(Commercial));
ArrayResize(LargestBuffer, ArraySize(Commercial));
ArrayResize(COTIndex, ArraySize(Commercial));

for (i= ArraySize(Commercial)-COTIndexPeriod; i >= 0; i--)
{
position = ArrayMinimum(Commercial, COTIndexPeriod, i+COTIndexPeriod-1);
SmallestBuffer[i] = Commercial[position];
//Print("Smallest: ", SmallestBuffer[i], " Index: ", i);
}

for (i= ArraySize(Commercial)-COTIndexPeriod; i >= 0; i--)
{
position = ArrayMaximum(Commercial, COTIndexPeriod, i+COTIndexPeriod-1);
LargestBuffer[i] = Commercial[position];
//Print("Largest: ", LargestBuffer[i], " Index: ", i);
}

for (i= ArraySize(Commercial)-COTIndexPeriod; i >= 0; i--)
//for (i= ArraySize(Commercial)-1; i > 0; i--)
{
double top = Commercial[i]-SmallestBuffer[i];
double bottom = LargestBuffer[i]-SmallestBuffer[i];

if(bottom == 0.0) //prevent divide by zero errors
{ bottom=100.0; }

COTIndex[i] = (top/bottom)*100;
Print("COTIndex: ", COTIndex[i], " Index: ", i);
ExtMapBuffer1[i] = COTIndex[i]; //graph it
}

So the goal is to have the Stochastic value stored in the COTIndex[i] array. However, the calculated values are in incorrect. Does anyone have a Stochastic-On-Array (iStochOnArray) implementation? or maybe does anyone see where the logical problem is on my code? I'm stuck and would greatly appreciate any help!

Thank you

Mike

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You've already got the print statements to check the LargestBuffer[] and SmallestBuffer[] values, are they correct?

Heya,

Yes, the values in SmallestBuffer[] and LargestBuffer[] are there and are in the right order ( using ArrayAsSeries(Commercial,false) )

I'm hoping someone has a Stochastic Implemetnation on array (kinda like iStochonArray) to help me out. My calculation for Stochastic fast %k is correct, I just dont understand why I'm getting the wrong errors.

Anyhelp would be greatly appreciated.

Thanks