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219 lines
8.8 KiB
Plaintext
219 lines
8.8 KiB
Plaintext
//+------------------------------------------------------------------+
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//| Stochastic_Roofing_Calculator.mqh |
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//| Calculation engine for a Stochastic (Fast or Slow) on an |
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//| Ehlers' Roofing Filter. |
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//| Copyright 2025, xxxxxxxx |
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//+------------------------------------------------------------------+
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#property copyright "Copyright 2025, xxxxxxxx"
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#include <MyIncludes\HeikinAshi_Tools.mqh>
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enum ENUM_STOCH_TYPE { STOCH_FAST, STOCH_SLOW };
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//+==================================================================+
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//| |
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//| CLASS 1: CStochasticRoofingCalculator (Base) |
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//| |
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//+==================================================================+
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class CStochasticRoofingCalculator
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{
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protected:
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int m_hp_period, m_ss_period; // Roofing
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int m_k_period, m_d_period, m_slowing; // Stochastic
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ENUM_STOCH_TYPE m_stoch_type;
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double m_price[];
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virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
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public:
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CStochasticRoofingCalculator(void) {};
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virtual ~CStochasticRoofingCalculator(void) {};
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bool Init(int hp_p, int ss_p, int k_p, int d_p, int slowing, ENUM_STOCH_TYPE stoch_type);
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void Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[],
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double &k_buffer[], double &d_buffer[]);
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};
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//+------------------------------------------------------------------+
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bool CStochasticRoofingCalculator::Init(int hp_p, int ss_p, int k_p, int d_p, int slowing, ENUM_STOCH_TYPE stoch_type)
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{
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m_hp_period = (hp_p < 10) ? 10 : hp_p;
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m_ss_period = (ss_p < 2) ? 2 : ss_p;
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m_k_period = (k_p < 1) ? 1 : k_p;
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m_d_period = (d_p < 1) ? 1 : d_p;
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m_slowing = (slowing < 1) ? 1 : slowing;
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m_stoch_type = stoch_type;
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return true;
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}
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//+------------------------------------------------------------------+
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void CStochasticRoofingCalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[],
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double &k_buffer[], double &d_buffer[])
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{
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int warmup = m_hp_period + m_k_period + m_slowing + m_d_period;
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if(rates_total < warmup)
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return;
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if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
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return;
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// --- Step 1: Calculate Roofing Filter ---
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double roofing_buffer[];
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ArrayResize(roofing_buffer, rates_total);
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double hp_buffer[];
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ArrayResize(hp_buffer, rates_total);
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double arg_hp = 0.707 * 2 * M_PI / m_hp_period;
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double alpha1_hp = (cos(arg_hp) + sin(arg_hp) - 1.0) / cos(arg_hp);
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double hp1=0, hp2=0;
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for(int i=2; i<rates_total; i++)
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{
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hp_buffer[i] = pow(1.0 - alpha1_hp / 2.0, 2) * (m_price[i] - 2.0 * m_price[i-1] + m_price[i-2]) + 2.0 * (1.0 - alpha1_hp) * hp1 - pow(1.0 - alpha1_hp, 2) * hp2;
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hp2 = hp1;
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hp1 = hp_buffer[i];
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}
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double arg_ss = 1.414 * M_PI / m_ss_period;
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double a1_ss = exp(-arg_ss), b1_ss = 2.0 * a1_ss * cos(arg_ss);
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double c2_ss = b1_ss, c3_ss = -a1_ss*a1_ss, c1_ss = 1.0 - c2_ss - c3_ss;
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double filt1=0, filt2=0;
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for(int i=1; i<rates_total; i++)
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{
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roofing_buffer[i] = c1_ss * (hp_buffer[i] + hp_buffer[i-1]) / 2.0 + c2_ss * filt1 + c3_ss * filt2;
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filt2 = filt1;
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filt1 = roofing_buffer[i];
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}
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// --- Step 2: Calculate Raw %K on the Roofing Filter output ---
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double raw_k_buffer[];
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ArrayResize(raw_k_buffer, rates_total);
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for(int i = m_k_period - 1; i < rates_total; i++)
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{
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int low_idx = ArrayMinimum(roofing_buffer, i - m_k_period + 1, m_k_period);
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int high_idx = ArrayMaximum(roofing_buffer, i - m_k_period + 1, m_k_period);
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double lowest_low = roofing_buffer[low_idx];
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double highest_high = roofing_buffer[high_idx];
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if(highest_high - lowest_low != 0)
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raw_k_buffer[i] = 100.0 * (roofing_buffer[i] - lowest_low) / (highest_high - lowest_low);
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}
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// --- Step 3: Smooth Raw %K based on Stochastic Type ---
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if(m_stoch_type == STOCH_FAST)
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{
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// For Fast Stoch, %K is the raw value, %D is the first smoothing
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ArrayCopy(k_buffer, raw_k_buffer, 0, 0, rates_total);
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for(int i = m_k_period - 1 + m_d_period - 1; i < rates_total; i++)
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{
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double sum = 0;
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for(int j = 0; j < m_d_period; j++)
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sum += k_buffer[i-j];
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d_buffer[i] = sum / m_d_period;
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}
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}
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else // STOCH_SLOW
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{
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// For Slow Stoch, %K is the first smoothing, %D is the second smoothing
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for(int i = m_k_period - 1 + m_slowing - 1; i < rates_total; i++)
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{
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double sum = 0;
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for(int j = 0; j < m_slowing; j++)
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sum += raw_k_buffer[i-j];
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k_buffer[i] = sum / m_slowing;
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}
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for(int i = m_k_period - 1 + m_slowing - 1 + m_d_period - 1; i < rates_total; i++)
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{
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double sum = 0;
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for(int j = 0; j < m_d_period; j++)
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sum += k_buffer[i-j];
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d_buffer[i] = sum / m_d_period;
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}
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}
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}
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//+------------------------------------------------------------------+
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bool CStochasticRoofingCalculator::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
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{
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ArrayResize(m_price, rates_total);
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switch(price_type)
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{
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case PRICE_CLOSE:
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ArrayCopy(m_price, close, 0, 0, rates_total);
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break;
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case PRICE_OPEN:
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ArrayCopy(m_price, open, 0, 0, rates_total);
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break;
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case PRICE_HIGH:
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ArrayCopy(m_price, high, 0, 0, rates_total);
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break;
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case PRICE_LOW:
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ArrayCopy(m_price, low, 0, 0, rates_total);
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break;
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case PRICE_MEDIAN:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (high[i]+low[i])/2.0;
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break;
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case PRICE_TYPICAL:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (high[i]+low[i]+close[i])/3.0;
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break;
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case PRICE_WEIGHTED:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (high[i]+low[i]+close[i]+close[i])/4.0;
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break;
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default:
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return false;
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}
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return true;
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}
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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class CStochasticRoofingCalculator_HA : public CStochasticRoofingCalculator
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{
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private:
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CHeikinAshi_Calculator m_ha_calculator;
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protected:
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virtual bool PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]) override;
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};
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//+------------------------------------------------------------------+
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//| |
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//+------------------------------------------------------------------+
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bool CStochasticRoofingCalculator_HA::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
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{
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double ha_open[], ha_high[], ha_low[], ha_close[];
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ArrayResize(ha_open, rates_total);
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ArrayResize(ha_high, rates_total);
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ArrayResize(ha_low, rates_total);
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ArrayResize(ha_close, rates_total);
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m_ha_calculator.Calculate(rates_total, open, high, low, close, ha_open, ha_high, ha_low, ha_close);
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ArrayResize(m_price, rates_total);
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switch(price_type)
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{
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case PRICE_CLOSE:
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ArrayCopy(m_price, ha_close, 0, 0, rates_total);
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break;
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case PRICE_OPEN:
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ArrayCopy(m_price, ha_open, 0, 0, rates_total);
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break;
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case PRICE_HIGH:
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ArrayCopy(m_price, ha_high, 0, 0, rates_total);
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break;
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case PRICE_LOW:
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ArrayCopy(m_price, ha_low, 0, 0, rates_total);
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break;
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case PRICE_MEDIAN:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (ha_high[i]+ha_low[i])/2.0;
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break;
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case PRICE_TYPICAL:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (ha_high[i]+ha_low[i]+ha_close[i])/3.0;
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break;
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case PRICE_WEIGHTED:
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for(int i=0; i<rates_total; i++)
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m_price[i] = (ha_high[i]+ha_low[i]+ha_close[i]+ha_close[i])/4.0;
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break;
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default:
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return false;
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}
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return true;
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}
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//+------------------------------------------------------------------+
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