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Toh4iem9
2025-10-26 09:36:05 +01:00
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Include/MyIncludes/Gaussian_Filter_Calculator.mqh
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//+------------------------------------------------------------------+
//| Gaussian_Filter_Calculator.mqh |
//| Calculation engine for the John Ehlers' Gaussian Filter. |
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
//+==================================================================+
//| |
//| CLASS 1: CGaussianFilterCalculator (Base Class) |
//| |
//+==================================================================+
class CGaussianFilterCalculator
{
protected:
int m_period;
double m_price[];
// Filter coefficients
double c0, a1, a2;
virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
public:
CGaussianFilterCalculator(void) {};
virtual ~CGaussianFilterCalculator(void) {};
bool Init(int period);
void Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &filter_buffer[]);
};
//+------------------------------------------------------------------+
bool CGaussianFilterCalculator::Init(int period)
{
m_period = (period < 2) ? 2 : period;
// Pre-calculate filter coefficients based on Ehlers' formulas
double beta = 2.415 * (1.0 - cos(2.0 * M_PI / m_period));
double alpha = -beta + sqrt(beta * beta + 2.0 * beta);
c0 = alpha * alpha;
a1 = 2.0 * (1.0 - alpha);
a2 = -pow(1.0 - alpha, 2);
return true;
}
//+------------------------------------------------------------------+
void CGaussianFilterCalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &filter_buffer[])
{
if(rates_total < 3)
return;
if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
return;
// --- State variables for recursive calculation ---
double f1=0, f2=0; // f[1], f[2]
// --- Initialization for the first few bars ---
filter_buffer[0] = m_price[0];
filter_buffer[1] = m_price[1];
f1 = filter_buffer[1];
f2 = filter_buffer[0];
// --- Full recalculation loop for stability ---
for(int i = 2; i < rates_total; i++)
{
double current_f = c0 * m_price[i] + a1 * f1 + a2 * f2;
filter_buffer[i] = current_f;
// Update state for next iteration
f2 = f1;
f1 = current_f;
}
}
//+------------------------------------------------------------------+
bool CGaussianFilterCalculator::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
{
ArrayResize(m_price, rates_total);
switch(price_type)
{
case PRICE_CLOSE:
ArrayCopy(m_price, close, 0, 0, rates_total);
break;
case PRICE_OPEN:
ArrayCopy(m_price, open, 0, 0, rates_total);
break;
case PRICE_HIGH:
ArrayCopy(m_price, high, 0, 0, rates_total);
break;
case PRICE_LOW:
ArrayCopy(m_price, low, 0, 0, rates_total);
break;
case PRICE_MEDIAN:
for(int i=0; i<rates_total; i++)
m_price[i] = (high[i]+low[i])/2.0;
break;
case PRICE_TYPICAL:
for(int i=0; i<rates_total; i++)
m_price[i] = (high[i]+low[i]+close[i])/3.0;
break;
case PRICE_WEIGHTED:
for(int i=0; i<rates_total; i++)
m_price[i] = (high[i]+low[i]+close[i]+close[i])/4.0;
break;
default:
return false;
}
return true;
}
//+==================================================================+
class CGaussianFilterCalculator_HA : public CGaussianFilterCalculator
{
private:
CHeikinAshi_Calculator m_ha_calculator;
protected:
virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]) override;
};
//+------------------------------------------------------------------+
bool CGaussianFilterCalculator_HA::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
{
double ha_open[], ha_high[], ha_low[], ha_close[];
ArrayResize(ha_open, rates_total);
ArrayResize(ha_high, rates_total);
ArrayResize(ha_low, rates_total);
ArrayResize(ha_close, rates_total);
m_ha_calculator.Calculate(rates_total, open, high, low, close, ha_open, ha_high, ha_low, ha_close);
ArrayResize(m_price, rates_total);
switch(price_type)
{
case PRICE_CLOSE:
ArrayCopy(m_price, ha_close, 0, 0, rates_total);
break;
case PRICE_OPEN:
ArrayCopy(m_price, ha_open, 0, 0, rates_total);
break;
case PRICE_HIGH:
ArrayCopy(m_price, ha_high, 0, 0, rates_total);
break;
case PRICE_LOW:
ArrayCopy(m_price, ha_low, 0, 0, rates_total);
break;
case PRICE_MEDIAN:
for(int i=0; i<rates_total; i++)
m_price[i] = (ha_high[i]+ha_low[i])/2.0;
break;
case PRICE_TYPICAL:
for(int i=0; i<rates_total; i++)
m_price[i] = (ha_high[i]+ha_low[i]+ha_close[i])/3.0;
break;
case PRICE_WEIGHTED:
for(int i=0; i<rates_total; i++)
m_price[i] = (ha_high[i]+ha_low[i]+ha_close[i]+ha_close[i])/4.0;
break;
default:
return false;
}
return true;
}
//+------------------------------------------------------------------+
//+------------------------------------------------------------------+