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mql5/Include/MyIncludes/DSMA_Calculator.mqh
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2025-10-22 17:44:23 +02:00

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//+------------------------------------------------------------------+
//| DSMA_Calculator.mqh |
//| Calculation engine for the John Ehlers' DSMA. |
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
//+==================================================================+
//| |
//| CLASS 1: CDSMACalculator (Base Class) |
//| |
//+==================================================================+
class CDSMACalculator
{
protected:
int m_period;
double m_price[];
virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
public:
CDSMACalculator(void) {};
virtual ~CDSMACalculator(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 &dsma_buffer[]);
};
//+------------------------------------------------------------------+
bool CDSMACalculator::Init(int period)
{
m_period = (period < 4) ? 4 : period;
return true;
}
//+------------------------------------------------------------------+
void CDSMACalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &dsma_buffer[])
{
if(rates_total < m_period + 2)
return;
if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
return;
// --- Intermediate buffers ---
double zeros_buffer[], filt_buffer[];
ArrayResize(zeros_buffer, rates_total);
ArrayResize(filt_buffer, rates_total);
// --- Step 1: Calculate "Zeros" oscillator ---
for(int i = 2; i < rates_total; i++)
{
zeros_buffer[i] = m_price[i] - m_price[i-2];
}
// --- Step 2: Smooth "Zeros" with a SuperSmoother ---
// Coefficients for SuperSmoother with Period/2
int ss_period = m_period / 2;
double arg = 1.414 * M_PI / ss_period;
double a1 = exp(-arg);
double b1 = 2.0 * a1 * cos(arg);
double c2 = b1;
double c3 = -a1 * a1;
double c1 = 1.0 - c2 - c3;
double filt1=0, filt2=0; // Previous values for SuperSmoother
for(int i = 2; i < rates_total; i++)
{
filt_buffer[i] = c1 * (zeros_buffer[i] + zeros_buffer[i-1]) / 2.0 + c2 * filt1 + c3 * filt2;
filt2 = filt1;
filt1 = filt_buffer[i];
}
// --- Steps 3-6: Calculate RMS, Alpha, and final DSMA ---
double dsma_prev = 0;
for(int i = m_period + 1; i < rates_total; i++)
{
// Step 3: Compute RMS (Standard Deviation)
double rms = 0;
for(int j = 0; j < m_period; j++)
{
rms += filt_buffer[i-j] * filt_buffer[i-j];
}
rms = sqrt(rms / m_period);
// Step 4: Rescale Filt in terms of Standard Deviations
double scaled_filt = 0;
if(rms != 0)
scaled_filt = filt_buffer[i] / rms;
// Step 5: Calculate adaptive alpha
double alpha1 = fabs(scaled_filt) * 5.0 / m_period;
// Clamp alpha to prevent instability
if(alpha1 > 1.0)
alpha1 = 1.0;
if(alpha1 < 2.0 / (m_period + 1.0))
alpha1 = 2.0 / (m_period + 1.0); // Prevent it from being too slow
// Step 6: Calculate final DSMA value
if(i == m_period + 1)
dsma_prev = m_price[i]; // Initialize first value
dsma_buffer[i] = alpha1 * m_price[i] + (1.0 - alpha1) * dsma_prev;
dsma_prev = dsma_buffer[i];
}
}
//+------------------------------------------------------------------+
bool CDSMACalculator::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 CDSMACalculator_HA : public CDSMACalculator
{
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 CDSMACalculator_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;
}
//+------------------------------------------------------------------+
//+------------------------------------------------------------------+