//+------------------------------------------------------------------+ //| RSI_Adaptive_Calculator.mqh | //| Engine for a variable-length RSI (Dynamic Momentum Index). | //| VERSION 3.01: Safety checks refined. | //| Copyright 2025, xxxxxxxx | //+------------------------------------------------------------------+ #property copyright "Copyright 2025, xxxxxxxx" #include enum ENUM_ADAPTIVE_SOURCE_RSI { ADAPTIVE_SOURCE_RSI_STANDARD, // Calculate Volatility on Standard Price ADAPTIVE_SOURCE_RSI_HEIKIN_ASHI // Calculate Volatility on Heikin Ashi Price }; //+==================================================================+ //| CLASS 1: CAdaptiveRSICalculator (Base Class) | //+==================================================================+ class CAdaptiveRSICalculator { protected: int m_pivotal_period, m_vola_short, m_vola_long; ENUM_ADAPTIVE_SOURCE_RSI m_adaptive_source; //--- Persistent Buffers double m_price[]; // Used for Volatility calculation double m_rsi_source[]; // Used for RSI calculation double m_vola_sum[]; double m_vola_avg[]; double m_nsp_buffer[]; 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[]); public: CAdaptiveRSICalculator(void) {}; virtual ~CAdaptiveRSICalculator(void) {}; bool Init(int pivotal_p, int vola_s, int vola_l, ENUM_ADAPTIVE_SOURCE_RSI adapt_src); 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 &rsi_buffer[]); }; //+------------------------------------------------------------------+ //| Init | //+------------------------------------------------------------------+ bool CAdaptiveRSICalculator::Init(int pivotal_p, int vola_s, int vola_l, ENUM_ADAPTIVE_SOURCE_RSI adapt_src) { m_pivotal_period = (pivotal_p < 2) ? 2 : pivotal_p; m_vola_short = (vola_s < 1) ? 1 : vola_s; m_vola_long = (vola_l <= m_vola_short) ? m_vola_short + 1 : vola_l; m_adaptive_source = adapt_src; return true; } //+------------------------------------------------------------------+ //| Main Calculation (Optimized) | //+------------------------------------------------------------------+ void CAdaptiveRSICalculator::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 &rsi_buffer[]) { // Safety Check: Ensure we have enough bars for the longest possible lookback // Max lookback = VolaLong + Max possible RSI Period (approx 2 * Pivotal) if(rates_total <= m_vola_long + m_pivotal_period * 2) return; int start_index; if(prev_calculated == 0) start_index = 0; else start_index = prev_calculated - 1; if(ArraySize(m_price) != rates_total) { ArrayResize(m_price, rates_total); ArrayResize(m_rsi_source, rates_total); ArrayResize(m_vola_sum, rates_total); ArrayResize(m_vola_avg, rates_total); ArrayResize(m_nsp_buffer, rates_total); } if(!PreparePriceSeries(rates_total, start_index, price_type, open, high, low, close)) return; //--- 4. Calculate Volatility Sum (Incremental) int loop_start_vola = MathMax(m_vola_short, start_index); for(int i = loop_start_vola; i < rates_total; i++) { double sum = 0; for(int j = 0; j < m_vola_short; j++) sum += MathAbs(m_price[i-j] - m_price[i-j-1]); m_vola_sum[i] = sum; } //--- 5. Calculate Volatility Avg and Adaptive Period (NSP) int loop_start_nsp = MathMax(m_vola_short + m_vola_long - 1, start_index); for(int i = loop_start_nsp; i < rates_total; i++) { double sum_of_sums = 0; for(int j = 0; j < m_vola_long; j++) sum_of_sums += m_vola_sum[i-j]; m_vola_avg[i] = sum_of_sums / m_vola_long; double vola_ratio = (m_vola_avg[i] > 0.000001) ? m_vola_sum[i] / m_vola_avg[i] : 1.0; // Calculate adaptive period int period = (int)round(m_pivotal_period / vola_ratio); // Clamp period between 2 and 2*Pivotal to prevent extreme noise or flatness m_nsp_buffer[i] = fmax(2, fmin(m_pivotal_period * 2, period)); } //--- 6. Calculate Simple RSI using m_rsi_source // Start where we have valid NSP data int loop_start_rsi = MathMax(m_vola_short + m_vola_long, start_index); for(int i = loop_start_rsi; i < rates_total; i++) { int current_nsp = (int)m_nsp_buffer[i]; // Safety check: Ensure we don't look back before the start of the array if(i <= current_nsp) { rsi_buffer[i] = 50.0; continue; } double sum_pos = 0, sum_neg = 0; // Brute force loop is required here because 'current_nsp' changes per bar for(int j = 0; j < current_nsp; j++) { double diff = m_rsi_source[i-j] - m_rsi_source[i-j-1]; if(diff > 0) sum_pos += diff; else sum_neg -= diff; } if(sum_pos + sum_neg > 0.000001) rsi_buffer[i] = 100.0 * sum_pos / (sum_pos + sum_neg); else rsi_buffer[i] = 50.0; } } //+------------------------------------------------------------------+ //| Prepare Price (Standard) | //+------------------------------------------------------------------+ bool CAdaptiveRSICalculator::PreparePriceSeries(int rates_total, int start_index, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]) { for(int i = start_index; i < rates_total; i++) { double p; switch(price_type) { case PRICE_CLOSE: p = close[i]; break; case PRICE_OPEN: p = open[i]; break; case PRICE_HIGH: p = high[i]; break; case PRICE_LOW: p = low[i]; break; case PRICE_MEDIAN: p = (high[i]+low[i])/2.0; break; case PRICE_TYPICAL: p = (high[i]+low[i]+close[i])/3.0; break; case PRICE_WEIGHTED: p = (high[i]+low[i]+2*close[i])/4.0; break; default: p = close[i]; break; } m_price[i] = p; // Volatility Source m_rsi_source[i] = p; // RSI Source } return true; } //+==================================================================+ //| CLASS 2: CAdaptiveRSICalculator_HA | //+==================================================================+ class CAdaptiveRSICalculator_HA : public CAdaptiveRSICalculator { private: CHeikinAshi_Calculator m_ha_calculator; double m_ha_open[], m_ha_high[], m_ha_low[], m_ha_close[]; protected: 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; }; //+------------------------------------------------------------------+ //| Prepare Price (Heikin Ashi) | //+------------------------------------------------------------------+ bool CAdaptiveRSICalculator_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[]) { if(ArraySize(m_ha_open) != rates_total) { ArrayResize(m_ha_open, rates_total); ArrayResize(m_ha_high, rates_total); ArrayResize(m_ha_low, rates_total); ArrayResize(m_ha_close, rates_total); } m_ha_calculator.Calculate(rates_total, start_index, open, high, low, close, m_ha_open, m_ha_high, m_ha_low, m_ha_close); for(int i = start_index; i < rates_total; i++) { double ha_p; switch(price_type) { case PRICE_CLOSE: ha_p = m_ha_close[i]; break; case PRICE_OPEN: ha_p = m_ha_open[i]; break; case PRICE_HIGH: ha_p = m_ha_high[i]; break; case PRICE_LOW: ha_p = m_ha_low[i]; break; case PRICE_MEDIAN: ha_p = (m_ha_high[i]+m_ha_low[i])/2.0; break; case PRICE_TYPICAL: ha_p = (m_ha_high[i]+m_ha_low[i]+m_ha_close[i])/3.0; break; case PRICE_WEIGHTED: ha_p = (m_ha_high[i]+m_ha_low[i]+2*m_ha_close[i])/4.0; break; default: ha_p = m_ha_close[i]; break; } m_rsi_source[i] = ha_p; // RSI uses HA if(m_adaptive_source == ADAPTIVE_SOURCE_RSI_HEIKIN_ASHI) { m_price[i] = ha_p; } else { // Recalculate standard price for volatility double std_p; switch(price_type) { case PRICE_CLOSE: std_p = close[i]; break; case PRICE_OPEN: std_p = open[i]; break; case PRICE_HIGH: std_p = high[i]; break; case PRICE_LOW: std_p = low[i]; break; case PRICE_MEDIAN: std_p = (high[i]+low[i])/2.0; break; case PRICE_TYPICAL: std_p = (high[i]+low[i]+close[i])/3.0; break; case PRICE_WEIGHTED: std_p = (high[i]+low[i]+2*close[i])/4.0; break; default: std_p = close[i]; break; } m_price[i] = std_p; } } return true; } //+------------------------------------------------------------------+ //+------------------------------------------------------------------+