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Hi - Your array size will always be limited to Barcount, but if you add
SetBarsRequired( 100000, 100000 ); // or substitute any number larger than total # of data bars
at the top of your code, charts will use full data arrays instead of QuickAFL mini-arrays and BarCount will be the total number of data bars.
Steve
----- Original Message -----
From: Adan Hancock
To: amibroker@xxxxxxxxxxxxxxx
Sent: Monday, June 12, 2006 6:25 AM
Subject: [amibroker] Using arrays without barcount limits
(I posted this over on the amibroker mesageboards, but there seems to
be very little activity over there. Would really appreciate it if
someone could help me)
I would like to use arrays outside of the barcount range,
For example:
to load 1000 values into an array
then load these into another array (to be used as an indicator) by
calling certain array "cells" based on conditions.
I can't seem to be able to use arrays for anything that doesn't fit
within the 0 to (barcount - 1) limit (which seems to only calculate
what is on screen)
Is this possible? or do I need to create a work around using
delimited strings or something?
This is really annoying me, I've created an indicator, it works fine,
but it won't work unless I zoom out to allow 1000 bars on screen.
I appreciate any help anyone can give.
Here is the code, in case it helps:
"standard" array is defined earlier in the script
//This script will load previously calculated probabilities from file
and display them in an indicator
probload[1] = 0; //array loaded from file
probability[1] = 0; //indicator array
probfh = fopen( "C:\\probability.csv", "r"); // open file
for (i = 1;i < 1000; i++)
{
test = fgets(probfh); //load row
test2 = StrToNum(test); //convert to number
probload[i] = test2; //place in array
}
fclose( probfh ); //close file
for ( i=3; i < BarCount; i++) //run through and load probabilities
based on current price movement
{
three = ((standard[i-2]) * 100) + ((standard[i-1]) * 10) +
standard[i]; //last three days moves as value
probability[i] = probload[three]; //load associated
probability
}
Plot( probload, "Standard", ParamColor( "Standard Color",
colorBlue ), ParamStyle("Standard Style", styleHistogram, maskAll ));
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