refactor(indicators): Refactored to use RSI_Engine

This commit is contained in:
Toh4iem9
2026-01-12 11:15:22 +01:00
parent 1b20f1367e
commit 7ea5654a9b
+43 -224
View File
@@ -1,77 +1,67 @@
//+------------------------------------------------------------------+
//| RSI_Pro_Calculator.mqh |
//| VERSION 3.10: Fixed RSI Drift (Added internal buffers). |
//| VERSION 4.00: Refactored to use RSI_Engine. |
//| Copyright 2025, xxxxxxxx |
//+------------------------------------------------------------------+
#property copyright "Copyright 2025, xxxxxxxx"
#include <MyIncludes\HeikinAshi_Tools.mqh>
#include <MyIncludes\RSI_Engine.mqh>
#include <MyIncludes\MovingAverage_Engine.mqh>
//+==================================================================+
//| CLASS 1: CRSIProCalculator (Base Class) |
//+==================================================================+
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
class CRSIProCalculator
{
protected:
int m_rsi_period;
int m_ma_period;
double m_deviation;
//--- Engine for Signal Line
CRSIEngine *m_rsi_engine;
CMovingAverageCalculator m_ma_engine;
//--- Persistent Buffers for Incremental Calculation
double m_price[];
int m_rsi_period, m_ma_period;
double m_deviation;
//--- Internal Buffers
double m_rsi_buffer[];
double m_ma_buffer[];
double m_upper_band[];
double m_lower_band[];
//--- NEW: Persistent Buffers for Wilder's Smoothing (Fixes Drift)
double m_avg_gain[];
double m_avg_loss[];
//--- Updated: Accepts start_index
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[]);
virtual void CreateEngine(void);
public:
CRSIProCalculator(void);
virtual ~CRSIProCalculator(void) {};
virtual ~CRSIProCalculator(void);
//--- Init now takes ENUM_MA_TYPE
bool Init(int rsi_p, int ma_p, ENUM_MA_TYPE ma_m, double dev);
//--- Updated: Accepts prev_calculated
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_out[], double &ma_out[], double &upper_out[], double &lower_out[]);
};
//+------------------------------------------------------------------+
//| Constructor |
//| |
//+------------------------------------------------------------------+
CRSIProCalculator::CRSIProCalculator(void)
{
}
CRSIProCalculator::CRSIProCalculator(void) { m_rsi_engine = NULL; }
CRSIProCalculator::~CRSIProCalculator(void) { if(CheckPointer(m_rsi_engine) != POINTER_INVALID) delete m_rsi_engine; }
void CRSIProCalculator::CreateEngine(void) { m_rsi_engine = new CRSIEngine(); }
//+------------------------------------------------------------------+
//| Init |
//| |
//+------------------------------------------------------------------+
bool CRSIProCalculator::Init(int rsi_p, int ma_p, ENUM_MA_TYPE ma_m, double dev)
{
m_rsi_period = (rsi_p < 1) ? 1 : rsi_p;
m_ma_period = (ma_p < 1) ? 1 : ma_p;
m_rsi_period = rsi_p;
m_ma_period = ma_p;
m_deviation = dev;
// Initialize MA Engine
CreateEngine();
if(!m_rsi_engine.Init(m_rsi_period))
return false;
if(!m_ma_engine.Init(m_ma_period, ma_m))
return false;
return true;
}
//+------------------------------------------------------------------+
//| Main Calculation (Optimized) |
//| |
//+------------------------------------------------------------------+
void CRSIProCalculator::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_out[], double &ma_out[], double &upper_out[], double &lower_out[])
@@ -79,211 +69,40 @@ void CRSIProCalculator::Calculate(int rates_total, int prev_calculated, ENUM_APP
if(rates_total <= m_rsi_period)
return;
//--- 1. Determine Start Index
int start_index;
if(prev_calculated == 0)
start_index = 0;
else
start_index = prev_calculated - 1;
//--- 2. Resize Buffers
if(ArraySize(m_price) != rates_total)
if(ArraySize(m_rsi_buffer) != rates_total)
{
ArrayResize(m_price, rates_total);
ArrayResize(m_rsi_buffer, rates_total);
ArrayResize(m_ma_buffer, rates_total);
ArrayResize(m_upper_band, rates_total);
ArrayResize(m_lower_band, rates_total);
// Resize internal averaging buffers
ArrayResize(m_avg_gain, rates_total);
ArrayResize(m_avg_loss, rates_total);
}
//--- 3. Prepare Price (Optimized)
if(!PreparePriceSeries(rates_total, start_index, price_type, open, high, low, close))
return;
// 1. Calculate RSI
m_rsi_engine.Calculate(rates_total, prev_calculated, price_type, open, high, low, close, m_rsi_buffer);
//--- 4. Calculate RSI (Incremental)
int i = start_index;
if(i == 0)
// 2. Calculate MA
m_ma_engine.CalculateOnArray(rates_total, prev_calculated, m_rsi_buffer, m_ma_buffer, m_rsi_period);
// 3. Calculate Bands
int start_index = (prev_calculated > 0) ? prev_calculated - 1 : 0;
int loop_start = MathMax(m_rsi_period + m_ma_period - 1, start_index);
for(int i = loop_start; i < rates_total; i++)
{
m_avg_gain[0] = 0;
m_avg_loss[0] = 0;
m_rsi_buffer[0] = 0;
i = 1;
}
for(; i < rates_total; i++)
{
double diff = m_price[i] - m_price[i-1];
double pos = (diff > 0 ? diff : 0);
double neg = (diff < 0 ? -diff : 0);
if(i <= m_rsi_period)
{
// First value (at index period) is SMA.
// Subsequent values are RMA.
if(i < m_rsi_period)
{
// Accumulate
m_avg_gain[i] = m_avg_gain[i-1] + pos;
m_avg_loss[i] = m_avg_loss[i-1] + neg;
m_rsi_buffer[i] = 0;
}
else // i == m_rsi_period
{
// Calculate initial SMA
// Add current value to sum
double sum_g = m_avg_gain[i-1] + pos;
double sum_l = m_avg_loss[i-1] + neg;
m_avg_gain[i] = sum_g / m_rsi_period;
m_avg_loss[i] = sum_l / m_rsi_period;
if(m_avg_loss[i] > 0)
m_rsi_buffer[i] = 100.0 - (100.0 / (1.0 + (m_avg_gain[i] / m_avg_loss[i])));
else
m_rsi_buffer[i] = 100.0;
}
}
else
{
// Normal Phase: Wilder's Smoothing (RMA)
// Avg[i] = (Avg[i-1] * (N-1) + Val[i]) / N
// We use the persistent buffer values from [i-1], which are stable!
m_avg_gain[i] = (m_avg_gain[i-1] * (m_rsi_period - 1) + pos) / m_rsi_period;
m_avg_loss[i] = (m_avg_loss[i-1] * (m_rsi_period - 1) + neg) / m_rsi_period;
if(m_avg_loss[i] > 0)
m_rsi_buffer[i] = 100.0 - (100.0 / (1.0 + (m_avg_gain[i] / m_avg_loss[i])));
else
m_rsi_buffer[i] = 100.0;
}
}
//--- 5. Calculate Moving Average on RSI (Using Engine)
// RSI is valid from index: m_rsi_period
int rsi_offset = m_rsi_period;
m_ma_engine.CalculateOnArray(rates_total, prev_calculated, m_rsi_buffer, m_ma_buffer, rsi_offset);
//--- 6. Calculate Bollinger Bands (Optimized)
// Bands are based on the MA, so they start where MA starts
int ma_start_pos = rsi_offset + m_ma_period - 1;
int loop_start_bands = MathMax(ma_start_pos, start_index);
for(i = loop_start_bands; i < rates_total; i++)
{
double std_dev_val = 0, sum_sq = 0;
double sum_sq = 0;
for(int j = 0; j < m_ma_period; j++)
sum_sq += pow(m_rsi_buffer[i-j] - m_ma_buffer[i], 2);
std_dev_val = sqrt(sum_sq / m_ma_period);
double std_dev = sqrt(sum_sq / m_ma_period);
m_upper_band[i] = m_ma_buffer[i] + m_deviation * std_dev_val;
m_lower_band[i] = m_ma_buffer[i] - m_deviation * std_dev_val;
rsi_out[i] = m_rsi_buffer[i];
ma_out[i] = m_ma_buffer[i];
upper_out[i] = m_ma_buffer[i] + m_deviation * std_dev;
lower_out[i] = m_ma_buffer[i] - m_deviation * std_dev;
}
//--- 7. Copy to Output
ArrayCopy(rsi_out, m_rsi_buffer, 0, 0, rates_total);
ArrayCopy(ma_out, m_ma_buffer, 0, 0, rates_total);
ArrayCopy(upper_out, m_upper_band, 0, 0, rates_total);
ArrayCopy(lower_out, m_lower_band, 0, 0, rates_total);
}
//+------------------------------------------------------------------+
//| Prepare Price (Standard - Optimized) |
//+------------------------------------------------------------------+
bool CRSIProCalculator::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++)
{
switch(price_type)
{
case PRICE_CLOSE:
m_price[i] = close[i];
break;
case PRICE_OPEN:
m_price[i] = open[i];
break;
case PRICE_HIGH:
m_price[i] = high[i];
break;
case PRICE_LOW:
m_price[i] = low[i];
break;
case PRICE_MEDIAN:
m_price[i] = (high[i]+low[i])/2.0;
break;
case PRICE_TYPICAL:
m_price[i] = (high[i]+low[i]+close[i])/3.0;
break;
case PRICE_WEIGHTED:
m_price[i] = (high[i]+low[i]+2*close[i])/4.0;
break;
default:
m_price[i] = close[i];
break;
}
}
return true;
}
//+==================================================================+
//| CLASS 2: CRSIProCalculator_HA (Heikin Ashi) |
//+==================================================================+
//--- HA Subclass
class CRSIProCalculator_HA : public CRSIProCalculator
{
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;
virtual void CreateEngine(void) override { m_rsi_engine = new CRSIEngine_HA(); }
};
//+------------------------------------------------------------------+
//| |
//+------------------------------------------------------------------+
bool CRSIProCalculator_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++)
{
switch(price_type)
{
case PRICE_CLOSE:
m_price[i] = m_ha_close[i];
break;
case PRICE_OPEN:
m_price[i] = m_ha_open[i];
break;
case PRICE_HIGH:
m_price[i] = m_ha_high[i];
break;
case PRICE_LOW:
m_price[i] = m_ha_low[i];
break;
case PRICE_MEDIAN:
m_price[i] = (m_ha_high[i]+m_ha_low[i])/2.0;
break;
case PRICE_TYPICAL:
m_price[i] = (m_ha_high[i]+m_ha_low[i]+m_ha_close[i])/3.0;
break;
case PRICE_WEIGHTED:
m_price[i] = (m_ha_high[i]+m_ha_low[i]+2*m_ha_close[i])/4.0;
break;
default:
m_price[i] = m_ha_close[i];
break;
}
}
return true;
}
//+------------------------------------------------------------------+