mirror of
https://github.com/softwaredevelop/mql5.git
synced 2026-11-02 11:16:15 +00:00
feat: Adaptive Ehlers Smoother Channel Engine via ATR/StDev
This commit is contained in:
@@ -0,0 +1,323 @@
|
||||
//+------------------------------------------------------------------+
|
||||
//| Ehlers_Adaptive_Channel_Calculator.mqh |
|
||||
//| Copyright 2026, xxxxxxxx|
|
||||
//+------------------------------------------------------------------+
|
||||
#property copyright "Copyright 2026, xxxxxxxx"
|
||||
#property version "1.00" // Adaptive Ehlers Smoother Channel Engine via ATR/StDev
|
||||
#property description "Stateful calculator implementing volatility channels around Adaptive Ehlers Smoother baseline."
|
||||
|
||||
#ifndef EHLERS_ADAPTIVE_CHANNEL_CALCULATOR_MQH
|
||||
#define EHLERS_ADAPTIVE_CHANNEL_CALCULATOR_MQH
|
||||
|
||||
#include <MyIncludes\Ehlers_Adaptive_Smoother_Calculator.mqh>
|
||||
#include <MyIncludes\ATR_Calculator.mqh>
|
||||
#include <MyIncludes\HeikinAshi_Tools.mqh>
|
||||
|
||||
//--- Dedicated Channel Volatility Width enum
|
||||
#ifndef ENUM_CHANNEL_WIDTH_METHOD_DEFINED
|
||||
#define ENUM_CHANNEL_WIDTH_METHOD_DEFINED
|
||||
enum ENUM_CHANNEL_WIDTH_METHOD
|
||||
{
|
||||
WIDTH_METHOD_ATR, // Average True Range (ATR Keltner-style)
|
||||
WIDTH_METHOD_STAND_DEV // Standard Deviation (StDev Bollinger-style)
|
||||
};
|
||||
#endif
|
||||
|
||||
//+==================================================================+
|
||||
//| CLASS: CEhlersAdaptiveChannelCalculator |
|
||||
//+==================================================================+
|
||||
class CEhlersAdaptiveChannelCalculator
|
||||
{
|
||||
private:
|
||||
ENUM_CHANNEL_WIDTH_METHOD m_width_method;
|
||||
int m_width_period;
|
||||
double m_inv_width_period; // Precalculated 1.0 / width_period
|
||||
double m_multiplier;
|
||||
bool m_is_ha;
|
||||
|
||||
CEhlersAdaptiveSmootherCalculator *m_baseline_calc;
|
||||
CATRCalculator *m_atr_calc;
|
||||
CHeikinAshi_Calculator m_ha_engine;
|
||||
|
||||
//--- Persistent State Registers (Strict Instance Isolation)
|
||||
double m_baseline_buffer[];
|
||||
double m_vol_buffer[];
|
||||
double m_price[];
|
||||
double m_ha_open[], m_ha_high[], m_ha_low[], m_ha_close[];
|
||||
|
||||
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:
|
||||
CEhlersAdaptiveChannelCalculator(void);
|
||||
~CEhlersAdaptiveChannelCalculator(void);
|
||||
|
||||
bool Init(const ENUM_SMOOTHER_TYPE smoother_type,
|
||||
const ENUM_ADAPTIVE_METHOD method,
|
||||
const int adaptive_period,
|
||||
const int period_min,
|
||||
const int period_max,
|
||||
const ENUM_CHANNEL_WIDTH_METHOD width_method,
|
||||
const int width_period,
|
||||
const double multiplier,
|
||||
const ENUM_APPLIED_PRICE_HA_ALL price_source);
|
||||
|
||||
void Calculate(const int rates_total, const int prev_calculated,
|
||||
const double &open[], const double &high[],
|
||||
const double &low[], const double &close[],
|
||||
double &baseline_buffer[], double &upper_buffer[], double &lower_buffer[]);
|
||||
};
|
||||
|
||||
//+------------------------------------------------------------------+
|
||||
//| Constructor |
|
||||
//+------------------------------------------------------------------+
|
||||
CEhlersAdaptiveChannelCalculator::CEhlersAdaptiveChannelCalculator(void) :
|
||||
m_width_method(WIDTH_METHOD_ATR),
|
||||
m_width_period(10),
|
||||
m_inv_width_period(0.1),
|
||||
m_multiplier(2.0),
|
||||
m_is_ha(false),
|
||||
m_baseline_calc(NULL),
|
||||
m_atr_calc(NULL)
|
||||
{
|
||||
ArraySetAsSeries(m_baseline_buffer, false);
|
||||
ArraySetAsSeries(m_vol_buffer, false);
|
||||
ArraySetAsSeries(m_price, false);
|
||||
ArraySetAsSeries(m_ha_open, false);
|
||||
ArraySetAsSeries(m_ha_high, false);
|
||||
ArraySetAsSeries(m_ha_low, false);
|
||||
ArraySetAsSeries(m_ha_close, false);
|
||||
}
|
||||
|
||||
//+------------------------------------------------------------------+
|
||||
//| Destructor |
|
||||
//+------------------------------------------------------------------+
|
||||
CEhlersAdaptiveChannelCalculator::~CEhlersAdaptiveChannelCalculator(void)
|
||||
{
|
||||
if(CheckPointer(m_baseline_calc) != POINTER_INVALID)
|
||||
{
|
||||
delete m_baseline_calc;
|
||||
m_baseline_calc = NULL;
|
||||
}
|
||||
if(CheckPointer(m_atr_calc) != POINTER_INVALID)
|
||||
{
|
||||
delete m_atr_calc;
|
||||
m_atr_calc = NULL;
|
||||
}
|
||||
}
|
||||
|
||||
//+------------------------------------------------------------------+
|
||||
//| Initialization |
|
||||
//+------------------------------------------------------------------+
|
||||
bool CEhlersAdaptiveChannelCalculator::Init(const ENUM_SMOOTHER_TYPE smoother_type,
|
||||
const ENUM_ADAPTIVE_METHOD method,
|
||||
const int adaptive_period,
|
||||
const int period_min,
|
||||
const int period_max,
|
||||
const ENUM_CHANNEL_WIDTH_METHOD width_method,
|
||||
const int width_period,
|
||||
const double multiplier,
|
||||
const ENUM_APPLIED_PRICE_HA_ALL price_source)
|
||||
{
|
||||
m_width_method = width_method;
|
||||
m_width_period = (width_period < 2) ? 2 : width_period;
|
||||
m_inv_width_period = 1.0 / (double)m_width_period;
|
||||
m_multiplier = (multiplier <= 0.0) ? 1.0 : multiplier;
|
||||
m_is_ha = (price_source <= PRICE_HA_CLOSE);
|
||||
|
||||
if(CheckPointer(m_baseline_calc) != POINTER_INVALID)
|
||||
{
|
||||
delete m_baseline_calc;
|
||||
m_baseline_calc = NULL;
|
||||
}
|
||||
if(CheckPointer(m_atr_calc) != POINTER_INVALID)
|
||||
{
|
||||
delete m_atr_calc;
|
||||
m_atr_calc = NULL;
|
||||
}
|
||||
|
||||
// 1. Instantiate Adaptive Ehlers Baseline Engine
|
||||
m_baseline_calc = new CEhlersAdaptiveSmootherCalculator();
|
||||
if(CheckPointer(m_baseline_calc) == POINTER_INVALID ||
|
||||
!m_baseline_calc.Init(smoother_type, method, adaptive_period, period_min, period_max, price_source))
|
||||
return false;
|
||||
|
||||
// 2. Instantiate ATR Engine if selected
|
||||
if(m_width_method == WIDTH_METHOD_ATR)
|
||||
{
|
||||
if(m_is_ha)
|
||||
m_atr_calc = new CATRCalculator_HA();
|
||||
else
|
||||
m_atr_calc = new CATRCalculator();
|
||||
|
||||
if(CheckPointer(m_atr_calc) == POINTER_INVALID || !m_atr_calc.Init(m_width_period, ATR_POINTS))
|
||||
return false;
|
||||
}
|
||||
|
||||
return true;
|
||||
}
|
||||
|
||||
//+------------------------------------------------------------------+
|
||||
//| Calculate Channel Envelopes |
|
||||
//+------------------------------------------------------------------+
|
||||
void CEhlersAdaptiveChannelCalculator::Calculate(const int rates_total, const int prev_calculated,
|
||||
const double &open[], const double &high[],
|
||||
const double &low[], const double &close[],
|
||||
double &baseline_buffer[], double &upper_buffer[], double &lower_buffer[])
|
||||
{
|
||||
int required_bars = MathMax(m_width_period * 2, 20) + 5;
|
||||
if(rates_total < required_bars || CheckPointer(m_baseline_calc) == POINTER_INVALID)
|
||||
return;
|
||||
|
||||
// Safe allocation of internal state buffers
|
||||
if(ArraySize(m_baseline_buffer) != rates_total)
|
||||
{
|
||||
ArrayResize(m_baseline_buffer, rates_total);
|
||||
ArraySetAsSeries(m_baseline_buffer, false);
|
||||
ArrayResize(m_vol_buffer, rates_total);
|
||||
ArraySetAsSeries(m_vol_buffer, false);
|
||||
ArrayResize(m_price, rates_total);
|
||||
ArraySetAsSeries(m_price, false);
|
||||
}
|
||||
|
||||
// 1. Calculate Adaptive Ehlers Baseline Centerline in O(1)
|
||||
m_baseline_calc.Calculate(rates_total, prev_calculated, open, high, low, close, m_baseline_buffer);
|
||||
|
||||
// 2. Calculate Channel Volatility Width (ATR or Accelerated Standard Deviation)
|
||||
if(m_width_method == WIDTH_METHOD_ATR)
|
||||
{
|
||||
if(CheckPointer(m_atr_calc) != POINTER_INVALID)
|
||||
m_atr_calc.Calculate(rates_total, prev_calculated, open, high, low, close, m_vol_buffer);
|
||||
}
|
||||
else // WIDTH_METHOD_STAND_DEV (MathPow-Free Accelerated StDev)
|
||||
{
|
||||
int start_index = (prev_calculated > 0) ? prev_calculated - 1 : 0;
|
||||
ENUM_APPLIED_PRICE p_type = (m_is_ha) ? PRICE_CLOSE : PRICE_CLOSE;
|
||||
if(!PreparePriceSeries(rates_total, start_index, p_type, open, high, low, close))
|
||||
return;
|
||||
|
||||
int loop_start = MathMax(m_width_period - 1, start_index);
|
||||
if(loop_start == m_width_period - 1)
|
||||
{
|
||||
for(int i = 0; i < loop_start; i++)
|
||||
m_vol_buffer[i] = 0.0;
|
||||
}
|
||||
|
||||
for(int i = loop_start; i < rates_total; i++)
|
||||
{
|
||||
double sum = 0.0;
|
||||
for(int j = 0; j < m_width_period; j++)
|
||||
sum += m_price[i - j];
|
||||
double mean = sum * m_inv_width_period;
|
||||
|
||||
// Fast scalar multiplication instead of slow pow()
|
||||
double sum_sq = 0.0;
|
||||
for(int j = 0; j < m_width_period; j++)
|
||||
{
|
||||
double diff = m_price[i - j] - mean;
|
||||
sum_sq += diff * diff;
|
||||
}
|
||||
|
||||
m_vol_buffer[i] = MathSqrt(sum_sq * m_inv_width_period);
|
||||
}
|
||||
}
|
||||
|
||||
// 3. Fused Pipelined Band Projection around Baseline
|
||||
int start = (prev_calculated > 0) ? prev_calculated - 1 : 0;
|
||||
for(int i = start; i < rates_total; i++)
|
||||
{
|
||||
double base = m_baseline_buffer[i];
|
||||
double width = m_multiplier * m_vol_buffer[i];
|
||||
|
||||
baseline_buffer[i] = base;
|
||||
upper_buffer[i] = base + width;
|
||||
lower_buffer[i] = base - width;
|
||||
}
|
||||
}
|
||||
|
||||
//+------------------------------------------------------------------+
|
||||
//| Prepare Price Series (Instance Isolated Caches - Zero Static!) |
|
||||
//+------------------------------------------------------------------+
|
||||
bool CEhlersAdaptiveChannelCalculator::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(m_is_ha)
|
||||
{
|
||||
if(ArraySize(m_ha_open) != rates_total)
|
||||
{
|
||||
ArrayResize(m_ha_open, rates_total);
|
||||
ArraySetAsSeries(m_ha_open, false);
|
||||
ArrayResize(m_ha_high, rates_total);
|
||||
ArraySetAsSeries(m_ha_high, false);
|
||||
ArrayResize(m_ha_low, rates_total);
|
||||
ArraySetAsSeries(m_ha_low, false);
|
||||
ArrayResize(m_ha_close, rates_total);
|
||||
ArraySetAsSeries(m_ha_close, false);
|
||||
}
|
||||
|
||||
m_ha_engine.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_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]) * 0.5;
|
||||
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] + 2.0 * m_ha_close[i]) * 0.25;
|
||||
break;
|
||||
default:
|
||||
m_price[i] = m_ha_close[i];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
else
|
||||
{
|
||||
for(int i = start_index; i < rates_total; i++)
|
||||
{
|
||||
switch(price_type)
|
||||
{
|
||||
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]) * 0.5;
|
||||
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] + 2.0 * close[i]) * 0.25;
|
||||
break;
|
||||
default:
|
||||
m_price[i] = close[i];
|
||||
break;
|
||||
}
|
||||
}
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
#endif // EHLERS_ADAPTIVE_CHANNEL_CALCULATOR_MQH
|
||||
//+------------------------------------------------------------------+
|
||||
Reference in New Issue
Block a user