new files added

This commit is contained in:
Toh4iem9
2025-11-14 13:18:50 +01:00
parent f1becf090c
commit b08ab12dda
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//+------------------------------------------------------------------+
//| VIDYA_Stdev_Calculator.mqh |
//| VERSION 1.20: Corrected Stdev to manual calculation. |
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
//+==================================================================+
class CVIDYAStdevCalculator
{
protected:
int m_vidya_period, m_stdev_short, m_stdev_long;
double m_price[];
double m_prev_vidya;
virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
//--- Helper function for manual Standard Deviation calculation ---
double CalculateStdDev(const double &array[], int period, int position);
public:
CVIDYAStdevCalculator(void) : m_prev_vidya(0) {};
virtual ~CVIDYAStdevCalculator(void) {};
bool Init(int vidya_p, int stdev_s, int stdev_l);
void Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &vidya_buffer[]);
};
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
class CVIDYAStdevCalculator_HA : public CVIDYAStdevCalculator
{
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;
};
//+==================================================================+
//| METHOD IMPLEMENTATIONS |
//+==================================================================+
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CVIDYAStdevCalculator::Init(int vidya_p, int stdev_s, int stdev_l)
{
m_vidya_period = (vidya_p < 1) ? 1 : vidya_p;
m_stdev_short = (stdev_s < 1) ? 1 : stdev_s;
m_stdev_long = (stdev_l <= m_stdev_short) ? m_stdev_short + 1 : stdev_l;
m_prev_vidya = 0;
return true;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
void CVIDYAStdevCalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &vidya_buffer[])
{
if(rates_total <= m_stdev_long)
return;
if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
return;
double stdev_short_buff[], stdev_long_buff[];
ArrayResize(stdev_short_buff, rates_total);
ArrayResize(stdev_long_buff, rates_total);
//--- STEP 1: Calculate Standard Deviations manually ---
for(int i = m_stdev_long - 1; i < rates_total; i++)
{
if(i >= m_stdev_short - 1)
stdev_short_buff[i] = CalculateStdDev(m_price, m_stdev_short, i);
stdev_long_buff[i] = CalculateStdDev(m_price, m_stdev_long, i);
}
//--- STEP 2: Calculate VIDYA
double alpha = 2.0 / (m_vidya_period + 1.0);
int start_pos = m_stdev_long;
if(ArraySize(vidya_buffer) == 0 || vidya_buffer[start_pos-1] == 0)
{
m_prev_vidya = m_price[start_pos-1];
}
for(int i = start_pos; i < rates_total; i++)
{
double k = (stdev_long_buff[i] > 0.000001) ? stdev_short_buff[i] / stdev_long_buff[i] : 1.0;
double alpha_k = alpha * k;
if(alpha_k > 1.0)
alpha_k = 1.0;
vidya_buffer[i] = m_price[i] * alpha_k + m_prev_vidya * (1.0 - alpha_k);
m_prev_vidya = vidya_buffer[i];
}
}
//--- NEW: Helper function for manual Standard Deviation calculation ---
double CVIDYAStdevCalculator::CalculateStdDev(const double &array[], int period, int position)
{
if(position < period - 1)
return 0.0;
// 1. Calculate the average (SMA)
double sum = 0;
for(int i = 0; i < period; i++)
sum += array[position - i];
double avg = sum / period;
// 2. Calculate the sum of squared differences
double sum_sq = 0;
for(int i = 0; i < period; i++)
sum_sq += pow(array[position - i] - avg, 2);
// 3. Return the standard deviation
return sqrt(sum_sq / period);
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CVIDYAStdevCalculator::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
{
if(ArraySize(m_price) != rates_total)
if(ArrayResize(m_price, rates_total) != rates_total)
return false;
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;
}
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CVIDYAStdevCalculator_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);
if(ArraySize(m_price) != rates_total)
if(ArrayResize(m_price, rates_total) != rates_total)
return false;
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;
}
//+------------------------------------------------------------------+
//+------------------------------------------------------------------+