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173 lines
6.5 KiB
Plaintext
173 lines
6.5 KiB
Plaintext
//+------------------------------------------------------------------+
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//| VIDYA_RSI_Calculator.mqh |
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//| Calculation engine for VIDYA based on RSI. |
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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 CVIDYARSICalculator
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{
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protected:
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int m_rsi_period, m_ema_period;
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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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CVIDYARSICalculator(void) {};
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virtual ~CVIDYARSICalculator(void) {};
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bool Init(int rsi_p, int ema_p);
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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[], double &vidya_buffer[]);
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};
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//+------------------------------------------------------------------+
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bool CVIDYARSICalculator::Init(int rsi_p, int ema_p)
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{
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m_rsi_period = (rsi_p < 1) ? 1 : rsi_p;
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m_ema_period = (ema_p < 1) ? 1 : ema_p;
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return true;
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}
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//+------------------------------------------------------------------+
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void CVIDYARSICalculator::Calculate(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[], double &vidya_buffer[])
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{
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int start_pos = m_rsi_period + m_ema_period;
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if(rates_total <= start_pos)
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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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double rsi_buffer[];
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ArrayResize(rsi_buffer, rates_total);
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//--- STEP 1: Calculate RSI (Wilder's smoothing) - Logic from RSI_Pro_Calculator
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double sum_pos = 0, sum_neg = 0;
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for(int i = 1; i < rates_total; i++)
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{
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double diff = m_price[i] - m_price[i-1];
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sum_pos = (sum_pos * (m_rsi_period - 1) + (diff > 0 ? diff : 0)) / m_rsi_period;
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sum_neg = (sum_neg * (m_rsi_period - 1) + (diff < 0 ? -diff : 0)) / m_rsi_period;
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if(i >= m_rsi_period)
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{
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if(sum_neg > 0)
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rsi_buffer[i] = 100.0 - (100.0 / (1.0 + (sum_pos / sum_neg)));
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else
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rsi_buffer[i] = 100.0;
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}
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}
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//--- STEP 2: Calculate VIDYA using RSI as volatility factor
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double alpha = 2.0 / (m_ema_period + 1.0);
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for(int i = 1; i < rates_total; i++)
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{
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if(i == start_pos)
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{
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double sum=0;
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for(int j=0; j<m_ema_period; j++)
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sum+=m_price[i-j];
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vidya_buffer[i]=sum/m_ema_period;
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continue;
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}
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if(i > start_pos)
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{
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//--- CRITICAL: Create volatility factor from RSI's distance from 50
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double rsi_volatility = MathAbs(rsi_buffer[i] - 50.0) / 50.0;
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vidya_buffer[i] = m_price[i] * alpha * rsi_volatility + vidya_buffer[i-1] * (1 - alpha * rsi_volatility);
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}
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}
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}
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// ... (A PreparePriceSeries és a _HA osztály PONTOSAN UGYANAZ MARAD, mint a VIDYA_Calculator-ban) ...
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bool CVIDYARSICalculator::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 CVIDYARSICalculator_HA : public CVIDYARSICalculator
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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 CVIDYARSICalculator_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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