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Toh4iem9
2025-09-24 09:10:47 +02:00
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//+------------------------------------------------------------------+
//| Bollinger_Bands_Calculator.mqh |
//| Calculation engine for Standard and Heikin Ashi Bollinger Bands|
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
//+==================================================================+
//| |
//| CLASS 1: CBollingerBandsCalculator (Standard) |
//| |
//+==================================================================+
class CBollingerBandsCalculator
{
protected:
int m_period;
double m_deviation;
ENUM_MA_METHOD m_ma_method;
double m_price[];
double m_ma_buffer[];
virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
public:
CBollingerBandsCalculator(void) {};
virtual ~CBollingerBandsCalculator(void) {};
bool Init(int period, double deviation, ENUM_MA_METHOD ma_method);
void Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[],
double &ma_out[], double &upper_out[], double &lower_out[]);
};
//+------------------------------------------------------------------+
//| CBollingerBandsCalculator: Initialization |
//+------------------------------------------------------------------+
bool CBollingerBandsCalculator::Init(int period, double deviation, ENUM_MA_METHOD ma_method)
{
m_period = (period < 1) ? 1 : period;
m_deviation = deviation;
m_ma_method = ma_method;
return true;
}
//+------------------------------------------------------------------+
//| CBollingerBandsCalculator: Main Calculation Method |
//+------------------------------------------------------------------+
void CBollingerBandsCalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[],
double &ma_out[], double &upper_out[], double &lower_out[])
{
if(rates_total < m_period)
return;
ArrayResize(m_price, rates_total);
ArrayResize(m_ma_buffer, rates_total);
if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
return;
//--- Step 1: Calculate the centerline (Moving Average)
int ma_start_pos = m_period - 1;
for(int i = ma_start_pos; i < rates_total; i++)
{
switch(m_ma_method)
{
case MODE_EMA:
case MODE_SMMA:
if(i == ma_start_pos)
{
double sum = 0;
for(int j = 0; j < m_period; j++)
sum += m_price[i-j];
m_ma_buffer[i] = sum / m_period;
}
else
{
if(m_ma_method == MODE_EMA)
{
double pr = 2.0 / (m_period + 1.0);
m_ma_buffer[i] = m_price[i] * pr + m_ma_buffer[i-1] * (1.0 - pr);
}
else
m_ma_buffer[i] = (m_ma_buffer[i-1] * (m_period - 1) + m_price[i]) / m_period;
}
break;
case MODE_LWMA:
{
double lwma_sum = 0, weight_sum = 0;
for(int j = 0; j < m_period; j++)
{
int weight = m_period - j;
lwma_sum += m_price[i-j] * weight;
weight_sum += weight;
}
if(weight_sum > 0)
m_ma_buffer[i] = lwma_sum / weight_sum;
break;
}
default: // MODE_SMA
{
double sum = 0;
for(int j = 0; j < m_period; j++)
sum += m_price[i-j];
m_ma_buffer[i] = sum / m_period;
break;
}
}
}
//--- Step 2: Calculate the Standard Deviation and the Bands
for(int i = ma_start_pos; i < rates_total; i++)
{
double std_dev_val = 0, sum_sq = 0;
for(int j = 0; j < m_period; j++)
sum_sq += pow(m_price[i-j] - m_ma_buffer[i], 2);
std_dev_val = sqrt(sum_sq / m_period);
upper_out[i] = m_ma_buffer[i] + m_deviation * std_dev_val;
lower_out[i] = m_ma_buffer[i] - m_deviation * std_dev_val;
}
ArrayCopy(ma_out, m_ma_buffer, 0, 0, rates_total);
}
//+------------------------------------------------------------------+
//| CBollingerBandsCalculator: Prepares the source price series. |
//+------------------------------------------------------------------+
bool CBollingerBandsCalculator::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
{
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 2: CBollingerBandsCalculator_HA (Heikin Ashi) |
//| |
//+==================================================================+
class CBollingerBandsCalculator_HA : public CBollingerBandsCalculator
{
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[]);
};
//+------------------------------------------------------------------+
//| CBollingerBandsCalculator_HA: Prepares the source price series. |
//+------------------------------------------------------------------+
bool CBollingerBandsCalculator_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);
//--- The HA version uses the selected price type from the HA candles
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;
}
//+------------------------------------------------------------------+
//+------------------------------------------------------------------+