int EURUSD_S(float* sig)
{
if(sig[1]<sig[2] && eqF(sig[2]-sig[4]) && sig[4]<sig[0] && sig[0]<sig[5] && sig[5]<sig[3]
&& sig[10]<sig[11] && sig[11]<sig[7] && sig[7]<sig[8] && sig[8]<sig[9] && sig[9]<sig[6])
return 19;
if(sig[4]<sig[1] && sig[1]<sig[2] && sig[2]<sig[5] && sig[5]<sig[3] && sig[3]<sig[0] && sig[7]<sig[8]
&& eqF(sig[8]-sig[10]) && sig[10]<sig[6] && sig[6]<sig[11] && sig[11]<sig[9])
return 170;
if(sig[1]<sig[4] && eqF(sig[4]-sig[5]) && sig[5]<sig[2] && sig[2]<sig[3] && sig[3]<sig[0]
&& sig[10]<sig[7] && eqF(sig[7]-sig[8]) && sig[8]<sig[6] && sig[6]<sig[11] && sig[11]<sig[9])
return 74;
if(sig[1]<sig[4] && sig[4]<sig[5] && sig[5]<sig[2] && sig[2]<sig[0] && sig[0]<sig[3] && sig[7]<sig[8]
&& eqF(sig[8]-sig[10]) && sig[10]<sig[11] && sig[11]<sig[9] && sig[9]<sig[6])
return 143;
if(sig[1]<sig[2] && eqF(sig[2]-sig[4]) && sig[4]<sig[5] && sig[5]<sig[3] && sig[3]<sig[0]
&& sig[10]<sig[7] && sig[7]<sig[8] && sig[8]<sig[6] && sig[6]<sig[11] && sig[11]<sig[9])
return 168;
....
return 0;
}

The eqF function in the code above checks if two signals are almost equal, i.e. differ less than FuzzyRange.

FuzzyRange
Determines the 'fuzziness' range of the input data (default: 0 = no fuzziness). When comparing two variables, the truth value goes from 0 to 1 within that range. Set this to a small fraction of the price volatility, or f.i. to 0.1*PIP for comparing moving averages, or to 0.1 for comparing percentage values. The smaller this value, the 'less fuzzy' is the logic. At the default value 0 the logic is binary. The FuzzyRange variable is also used for classifying signal patterns for price action trading.

eqF(sig[2]-sig[4])

0<(sig[2]-sig[4])<1