2025-09-30 15:46:02 +02:00
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//| PascalWMA_Calculator.mqh |
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2026-01-01 17:19:03 +01:00
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//| VERSION 2.00: Optimized for incremental calculation. |
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2025-09-30 15:46:02 +02:00
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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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//+==================================================================+
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//| CLASS 1: CPascalWMACalculator (Base Class) |
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//+==================================================================+
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class CPascalWMACalculator
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{
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protected:
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int m_period;
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double m_weights[];
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double m_weight_sum;
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//--- Persistent Buffer for Incremental Calculation
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double m_price[];
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2026-01-01 17:19:03 +01:00
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//--- Updated: Accepts start_index
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virtual bool PreparePriceSeries(int rates_total, int start_index, 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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CPascalWMACalculator(void);
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virtual ~CPascalWMACalculator(void) {};
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bool Init(int period);
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2026-01-01 17:19:03 +01:00
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//--- Updated: Accepts prev_calculated
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void Calculate(int rates_total, int prev_calculated, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &wma_out[]);
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};
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//+------------------------------------------------------------------+
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//| CPascalWMACalculator: Constructor |
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//+------------------------------------------------------------------+
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CPascalWMACalculator::CPascalWMACalculator(void) : m_period(0), m_weight_sum(0)
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{
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}
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//+------------------------------------------------------------------+
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//| CPascalWMACalculator: Initialization and Weight Generation |
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//+------------------------------------------------------------------+
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bool CPascalWMACalculator::Init(int period)
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{
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m_period = (period < 2) ? 2 : period;
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// Limit period to avoid double overflow if necessary, but double handles large numbers well (up to 1.7e308).
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// Pascal(100) middle term is huge but fits in double.
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2025-09-30 15:46:02 +02:00
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ArrayResize(m_weights, m_period);
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m_weight_sum = 0;
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2026-01-01 17:19:03 +01:00
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// Calculate Binomial Coefficients: C(n, k)
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// n = period - 1
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// k = 0 to n
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// Use iterative formula: C(n, k) = C(n, k-1) * (n - k + 1) / k
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int n = m_period - 1;
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m_weights[0] = 1.0;
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m_weight_sum += m_weights[0];
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for(int k = 1; k <= n; k++)
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{
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// Recursive calculation avoids factorial overflow
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m_weights[k] = m_weights[k-1] * (double)(n - k + 1) / (double)k;
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m_weight_sum += m_weights[k];
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}
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2025-09-30 15:46:02 +02:00
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return (m_weight_sum > 0);
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}
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//+------------------------------------------------------------------+
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//| CPascalWMACalculator: Main Calculation Method |
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//+------------------------------------------------------------------+
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void CPascalWMACalculator::Calculate(int rates_total, int prev_calculated, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &wma_out[])
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{
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if(rates_total < m_period)
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return;
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int start_index;
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if(prev_calculated == 0)
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start_index = 0;
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else
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start_index = prev_calculated - 1;
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// Resize internal buffer
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if(ArraySize(m_price) != rates_total)
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ArrayResize(m_price, rates_total);
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if(!PreparePriceSeries(rates_total, start_index, price_type, open, high, low, close))
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return;
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2026-01-01 17:19:03 +01:00
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//--- Incremental Loop
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int loop_start = MathMax(m_period - 1, start_index);
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for(int i = loop_start; i < rates_total; i++)
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{
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double weighted_sum = 0;
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// Convolution: Price[i-j] * Weight[j]
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for(int j = 0; j < m_period; j++)
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{
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weighted_sum += m_price[i - j] * m_weights[j];
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}
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wma_out[i] = weighted_sum / m_weight_sum;
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}
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}
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//+------------------------------------------------------------------+
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//| CPascalWMACalculator: Prepares the standard source price. |
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//+------------------------------------------------------------------+
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bool CPascalWMACalculator::PreparePriceSeries(int rates_total, int start_index, 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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for(int i = start_index; i < rates_total; i++)
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{
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switch(price_type)
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{
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case PRICE_CLOSE:
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m_price[i] = close[i];
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break;
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case PRICE_OPEN:
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m_price[i] = open[i];
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break;
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case PRICE_HIGH:
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m_price[i] = high[i];
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break;
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case PRICE_LOW:
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m_price[i] = low[i];
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break;
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case PRICE_MEDIAN:
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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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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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m_price[i] = (high[i]+low[i]+2*close[i])/4.0;
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break;
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default:
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m_price[i] = close[i];
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break;
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}
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}
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return true;
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}
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//+==================================================================+
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//| CLASS 2: CPascalWMACalculator_HA (Heikin Ashi) |
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//+==================================================================+
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class CPascalWMACalculator_HA : public CPascalWMACalculator
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{
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private:
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CHeikinAshi_Calculator m_ha_calculator;
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double m_ha_open[], m_ha_high[], m_ha_low[], m_ha_close[];
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protected:
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virtual bool PreparePriceSeries(int rates_total, int start_index, 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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//| CPascalWMACalculator_HA: Prepares the HA source price. |
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//+------------------------------------------------------------------+
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bool CPascalWMACalculator_HA::PreparePriceSeries(int rates_total, int start_index, 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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if(ArraySize(m_ha_open) != rates_total)
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{
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ArrayResize(m_ha_open, rates_total);
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ArrayResize(m_ha_high, rates_total);
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ArrayResize(m_ha_low, rates_total);
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ArrayResize(m_ha_close, rates_total);
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}
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m_ha_calculator.Calculate(rates_total, start_index, open, high, low, close, m_ha_open, m_ha_high, m_ha_low, m_ha_close);
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for(int i = start_index; i < rates_total; i++)
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{
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switch(price_type)
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{
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case PRICE_CLOSE:
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m_price[i] = m_ha_close[i];
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break;
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case PRICE_OPEN:
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m_price[i] = m_ha_open[i];
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break;
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case PRICE_HIGH:
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m_price[i] = m_ha_high[i];
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break;
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case PRICE_LOW:
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m_price[i] = m_ha_low[i];
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break;
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case PRICE_MEDIAN:
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m_price[i] = (m_ha_high[i]+m_ha_low[i])/2.0;
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break;
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case PRICE_TYPICAL:
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m_price[i] = (m_ha_high[i]+m_ha_low[i]+m_ha_close[i])/3.0;
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break;
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case PRICE_WEIGHTED:
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m_price[i] = (m_ha_high[i]+m_ha_low[i]+2*m_ha_close[i])/4.0;
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break;
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default:
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m_price[i] = m_ha_close[i];
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break;
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}
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}
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return true;
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}
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//+------------------------------------------------------------------+
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