refactor(indicators): Separate MA type for Signal Line

This commit is contained in:
Toh4iem9
2026-01-01 09:33:05 +01:00
parent 45bd0975a6
commit 6f088af747
+124 -160
View File
@@ -1,14 +1,14 @@
//+------------------------------------------------------------------+
//| DMIStochastic_Calculator.mqh |
//| Calculation engine for Barbara Star's DMI Stochastic. |
//| Copyright 2025, xxxxxxxx|
//| VERSION 2.10: Separate MA type for Signal Line. |
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
#include <MyIncludes\MovingAverage_Engine.mqh>
//--- Enum for selecting the candle source for calculation ---
// Moved here to be visible for both .mqh and .mq5 files
enum ENUM_CANDLE_SOURCE
{
CANDLE_STANDARD, // Use standard OHLC data
@@ -16,7 +16,6 @@ enum ENUM_CANDLE_SOURCE
};
//--- Enum for selecting the oscillator calculation formula ---
// Moved here to be visible for both .mqh and .mq5 files
enum ENUM_DMI_OSC_TYPE
{
OSC_PDI_MINUS_NDI, // Intuitive: High value = Bullish pressure
@@ -24,254 +23,219 @@ enum ENUM_DMI_OSC_TYPE
};
//+==================================================================+
//| |
//| CLASS DEFINITIONS (Forward Declarations) |
//| |
//| CLASS 1: CDMIStochasticCalculator |
//+==================================================================+
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
class CDMIStochasticCalculator
{
protected:
//--- Input parameters
int m_dmi_period;
int m_fast_k_period;
int m_slow_k_period;
int m_smooth_period;
ENUM_MA_METHOD m_stoch_method;
ENUM_DMI_OSC_TYPE m_osc_type;
//--- Price buffers
//--- Engines for Smoothing
CMovingAverageCalculator m_slow_k_engine;
CMovingAverageCalculator m_smooth_d_engine;
//--- Persistent Buffers
double m_high[], m_low[], m_close[];
double m_pDM[], m_nDM[], m_TR[];
double m_smoothed_pDM[], m_smoothed_nDM[], m_smoothed_TR[];
double m_dmiOsc[];
double m_fastK[];
//--- Private helper for calculating moving averages on an array
void CalculateMA(const double &source_array[], double &dest_array[], int period, ENUM_MA_METHOD method, int start_pos);
//--- Virtual method for preparing price data
virtual bool PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[]);
virtual bool PreparePriceSeries(int rates_total, int start_index, const double &open[], const double &high[], const double &low[], const double &close[]);
public:
CDMIStochasticCalculator(void) {};
virtual ~CDMIStochasticCalculator(void) {};
//--- Public interface
bool Init(int dmi_p, int fast_k, int slow_k, int smooth_p, ENUM_MA_METHOD method, ENUM_DMI_OSC_TYPE osc_type);
void Calculate(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[],
//--- Init now takes separate MA types for K and D
bool Init(int dmi_p, int fast_k, int slow_k, int smooth_p, ENUM_MA_TYPE k_method, ENUM_MA_TYPE d_method, ENUM_DMI_OSC_TYPE osc_type);
void Calculate(int rates_total, int prev_calculated, const double &open[], const double &high[], const double &low[], const double &close[],
double &k_buffer[], double &d_buffer[]);
};
//+------------------------------------------------------------------+
//| |
//| Init |
//+------------------------------------------------------------------+
class CDMIStochasticCalculator_HA : public CDMIStochasticCalculator
{
private:
CHeikinAshi_Calculator m_ha_calculator;
protected:
virtual bool PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[]) override;
};
//+==================================================================+
//| |
//| METHOD IMPLEMENTATIONS: CDMIStochasticCalculator |
//| |
//+==================================================================+
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CDMIStochasticCalculator::Init(int dmi_p, int fast_k, int slow_k, int smooth_p, ENUM_MA_METHOD method, ENUM_DMI_OSC_TYPE osc_type)
bool CDMIStochasticCalculator::Init(int dmi_p, int fast_k, int slow_k, int smooth_p, ENUM_MA_TYPE k_method, ENUM_MA_TYPE d_method, ENUM_DMI_OSC_TYPE osc_type)
{
m_dmi_period = (dmi_p < 1) ? 1 : dmi_p;
m_fast_k_period = (fast_k < 1) ? 1 : fast_k;
m_slow_k_period = (slow_k < 1) ? 1 : slow_k;
m_smooth_period = (smooth_p < 1) ? 1 : smooth_p;
m_stoch_method = method;
m_osc_type = osc_type;
// Initialize Engines with separate methods
if(!m_slow_k_engine.Init(m_slow_k_period, k_method))
return false;
if(!m_smooth_d_engine.Init(m_smooth_period, d_method))
return false;
return true;
}
//+------------------------------------------------------------------+
//| |
//| Main Calculation (Optimized) |
//+------------------------------------------------------------------+
void CDMIStochasticCalculator::Calculate(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[],
void CDMIStochasticCalculator::Calculate(int rates_total, int prev_calculated, const double &open[], const double &high[], const double &low[], const double &close[],
double &k_buffer[], double &d_buffer[])
{
int required_bars = m_dmi_period + m_fast_k_period + m_slow_k_period + m_smooth_period;
if(rates_total < required_bars)
return;
if(!PreparePriceSeries(rates_total, open, high, low, close))
int start_index;
if(prev_calculated == 0)
start_index = 0;
else
start_index = prev_calculated - 1;
// Resize Buffers
if(ArraySize(m_high) != rates_total)
{
ArrayResize(m_high, rates_total);
ArrayResize(m_low, rates_total);
ArrayResize(m_close, rates_total);
ArrayResize(m_pDM, rates_total);
ArrayResize(m_nDM, rates_total);
ArrayResize(m_TR, rates_total);
ArrayResize(m_smoothed_pDM, rates_total);
ArrayResize(m_smoothed_nDM, rates_total);
ArrayResize(m_smoothed_TR, rates_total);
ArrayResize(m_dmiOsc, rates_total);
ArrayResize(m_fastK, rates_total);
}
if(!PreparePriceSeries(rates_total, start_index, open, high, low, close))
return;
double pDM[], nDM[], TR[], smoothed_pDM[], smoothed_nDM[], smoothed_TR[];
double pDI[], nDI[], dmiOsc[], fastK[];
ArrayResize(pDM, rates_total, 0);
ArrayResize(nDM, rates_total, 0);
ArrayResize(TR, rates_total, 0);
ArrayResize(smoothed_pDM, rates_total, 0);
ArrayResize(smoothed_nDM, rates_total, 0);
ArrayResize(smoothed_TR, rates_total, 0);
ArrayResize(pDI, rates_total, 0);
ArrayResize(nDI, rates_total, 0);
ArrayResize(dmiOsc, rates_total, 0);
ArrayResize(fastK, rates_total, 0);
//--- 1. Calculate DM and TR (Incremental)
int loop_start_dm = MathMax(1, start_index);
for(int i = 1; i < rates_total; i++)
for(int i = loop_start_dm; i < rates_total; i++)
{
double high_diff = m_high[i] - m_high[i-1];
double low_diff = m_low[i-1] - m_low[i];
pDM[i] = (high_diff > low_diff && high_diff > 0) ? high_diff : 0;
nDM[i] = (low_diff > high_diff && low_diff > 0) ? low_diff : 0;
TR[i] = MathMax(m_high[i], m_close[i-1]) - MathMin(m_low[i], m_close[i-1]);
m_pDM[i] = (high_diff > low_diff && high_diff > 0) ? high_diff : 0;
m_nDM[i] = (low_diff > high_diff && low_diff > 0) ? low_diff : 0;
m_TR[i] = MathMax(m_high[i], m_close[i-1]) - MathMin(m_low[i], m_close[i-1]);
}
for(int i = m_dmi_period; i < rates_total; i++)
//--- 2. Calculate Smoothed DM/TR (Wilder's Smoothing)
int loop_start_smooth = MathMax(m_dmi_period, start_index);
for(int i = loop_start_smooth; i < rates_total; i++)
{
if(i == m_dmi_period)
{
// Initial Sum
double sum_pDM = 0, sum_nDM = 0, sum_TR = 0;
for(int j = 1; j <= m_dmi_period; j++)
{
smoothed_pDM[i] += pDM[j];
smoothed_nDM[i] += nDM[j];
smoothed_TR[i] += TR[j];
sum_pDM += m_pDM[j];
sum_nDM += m_nDM[j];
sum_TR += m_TR[j];
}
m_smoothed_pDM[i] = sum_pDM;
m_smoothed_nDM[i] = sum_nDM;
m_smoothed_TR[i] = sum_TR;
}
else
{
smoothed_pDM[i] = smoothed_pDM[i-1] - (smoothed_pDM[i-1] / m_dmi_period) + pDM[i];
smoothed_nDM[i] = smoothed_nDM[i-1] - (smoothed_nDM[i-1] / m_dmi_period) + nDM[i];
smoothed_TR[i] = smoothed_TR[i-1] - (smoothed_TR[i-1] / m_dmi_period) + TR[i];
// Wilder's Smoothing: Prev - (Prev/N) + Curr
m_smoothed_pDM[i] = m_smoothed_pDM[i-1] - (m_smoothed_pDM[i-1] / m_dmi_period) + m_pDM[i];
m_smoothed_nDM[i] = m_smoothed_nDM[i-1] - (m_smoothed_nDM[i-1] / m_dmi_period) + m_nDM[i];
m_smoothed_TR[i] = m_smoothed_TR[i-1] - (m_smoothed_TR[i-1] / m_dmi_period) + m_TR[i];
}
}
for(int i = m_dmi_period; i < rates_total; i++)
//--- 3. Calculate DI and DMI Oscillator
for(int i = loop_start_smooth; i < rates_total; i++)
{
if(smoothed_TR[i] != 0.0)
double pDI = 0, nDI = 0;
if(m_smoothed_TR[i] != 0.0)
{
pDI[i] = (smoothed_pDM[i] / smoothed_TR[i]) * 100.0;
nDI[i] = (smoothed_nDM[i] / smoothed_TR[i]) * 100.0;
pDI = (m_smoothed_pDM[i] / m_smoothed_TR[i]) * 100.0;
nDI = (m_smoothed_nDM[i] / m_smoothed_TR[i]) * 100.0;
}
if(m_osc_type == OSC_PDI_MINUS_NDI)
dmiOsc[i] = pDI[i] - nDI[i];
m_dmiOsc[i] = pDI - nDI;
else
dmiOsc[i] = nDI[i] - pDI[i];
m_dmiOsc[i] = nDI - pDI;
}
for(int i = m_dmi_period + m_fast_k_period - 1; i < rates_total; i++)
//--- 4. Calculate Fast %K on DMI Oscillator
int fast_k_start = m_dmi_period + m_fast_k_period - 1;
int loop_start_k = MathMax(fast_k_start, start_index);
for(int i = loop_start_k; i < rates_total; i++)
{
double highest = dmiOsc[i], lowest = dmiOsc[i];
double highest = m_dmiOsc[i];
double lowest = m_dmiOsc[i];
for(int j = 1; j < m_fast_k_period; j++)
{
highest = MathMax(highest, dmiOsc[i-j]);
lowest = MathMin(lowest, dmiOsc[i-j]);
highest = MathMax(highest, m_dmiOsc[i-j]);
lowest = MathMin(lowest, m_dmiOsc[i-j]);
}
double range = highest - lowest;
fastK[i] = (range == 0.0) ? 50.0 : ((dmiOsc[i] - lowest) / range) * 100.0;
m_fastK[i] = (range == 0.0) ? 50.0 : ((m_dmiOsc[i] - lowest) / range) * 100.0;
}
int k_start = m_dmi_period + m_fast_k_period + m_slow_k_period - 2;
CalculateMA(fastK, k_buffer, m_slow_k_period, m_stoch_method, k_start);
//--- 5. Calculate Slow %K (Main Line) using Engine
m_slow_k_engine.CalculateOnArray(rates_total, prev_calculated, m_fastK, k_buffer, fast_k_start);
int d_start = k_start + m_smooth_period - 1;
CalculateMA(k_buffer, d_buffer, m_smooth_period, m_stoch_method, d_start);
//--- 6. Calculate %D (Signal Line) using Engine
int d_start = fast_k_start + m_slow_k_engine.GetPeriod() - 1;
m_smooth_d_engine.CalculateOnArray(rates_total, prev_calculated, k_buffer, d_buffer, d_start);
}
//+------------------------------------------------------------------+
//| |
//| Prepare Price (Standard - Optimized) |
//+------------------------------------------------------------------+
void CDMIStochasticCalculator::CalculateMA(const double &source_array[], double &dest_array[], int period, ENUM_MA_METHOD method, int start_pos)
bool CDMIStochasticCalculator::PreparePriceSeries(int rates_total, int start_index, const double &open[], const double &high[], const double &low[], const double &close[])
{
for(int i = start_pos; i < ArraySize(source_array); i++)
for(int i = start_index; i < rates_total; i++)
{
switch(method)
{
case MODE_EMA:
case MODE_SMMA:
if(i == start_pos)
{
double sum = 0;
for(int j = 0; j < period; j++)
sum += source_array[i-j];
dest_array[i] = sum / period;
}
else
{
if(method == MODE_EMA)
{
double pr = 2.0 / (period + 1.0);
dest_array[i] = source_array[i] * pr + dest_array[i-1] * (1.0 - pr);
}
else
dest_array[i] = (dest_array[i-1] * (period - 1) + source_array[i]) / period;
}
break;
case MODE_LWMA:
{
double sum = 0, w_sum = 0;
for(int j = 0; j < period; j++)
{
int w = period - j;
sum += source_array[i-j] * w;
w_sum += w;
}
if(w_sum > 0)
dest_array[i] = sum / w_sum;
}
break;
default: // MODE_SMA
{
double sum = 0;
for(int j = 0; j < period; j++)
sum += source_array[i-j];
dest_array[i] = sum / period;
}
break;
}
m_high[i] = high[i];
m_low[i] = low[i];
m_close[i] = close[i];
}
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CDMIStochasticCalculator::PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[])
{
ArrayResize(m_high, rates_total);
ArrayResize(m_low, rates_total);
ArrayResize(m_close, rates_total);
ArrayCopy(m_high, high, 0, 0, rates_total);
ArrayCopy(m_low, low, 0, 0, rates_total);
ArrayCopy(m_close, close, 0, 0, rates_total);
return true;
}
//+==================================================================+
//| |
//| METHOD IMPLEMENTATIONS: CDMIStochasticCalculator_HA |
//| |
//| CLASS 2: CDMIStochasticCalculator_HA |
//+==================================================================+
class CDMIStochasticCalculator_HA : public CDMIStochasticCalculator
{
private:
CHeikinAshi_Calculator m_ha_calculator;
// Internal HA buffers
double m_ha_open[];
protected:
virtual bool PreparePriceSeries(int rates_total, int start_index, const double &open[], const double &high[], const double &low[], const double &close[]) override;
};
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CDMIStochasticCalculator_HA::PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[])
bool CDMIStochasticCalculator_HA::PreparePriceSeries(int rates_total, int start_index, 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);
if(ArraySize(m_ha_open) != rates_total)
ArrayResize(m_ha_open, rates_total);
ArrayResize(m_high, rates_total);
ArrayResize(m_low, rates_total);
ArrayResize(m_close, rates_total);
ArrayCopy(m_high, ha_high, 0, 0, rates_total);
ArrayCopy(m_low, ha_low, 0, 0, rates_total);
ArrayCopy(m_close, ha_close, 0, 0, rates_total);
m_ha_calculator.Calculate(rates_total, start_index, open, high, low, close, m_ha_open, m_high, m_low, m_close);
return true;
}
//+------------------------------------------------------------------+
//+------------------------------------------------------------------+