feat: Strict Recursive State Preservation (Fixes Live Bar Flip-Flop)

This commit is contained in:
Toh4iem9
2026-10-24 14:01:38 +02:00
parent efbf1f3542
commit 7963e3a4e5
@@ -0,0 +1,390 @@
//+------------------------------------------------------------------+
//| ChaosWeightedRSI_Calculator.mqh |
//| Engine for Fractal-Chaos-Weighted Relative Strength Index |
//| Copyright 2026, xxxxxxxx|
//+------------------------------------------------------------------+
#property copyright "Copyright 2026, xxxxxxxx"
#property version "2.20" // Enterprise: Strict Recursive State Preservation (Fixes Live Bar Flip-Flop)
#property description "Mathematical engine for Chaos-Weighted RSI with Sevcik Fractal Dimension modulation."
#ifndef CHAOS_WEIGHTED_RSI_CALCULATOR_MQH
#define CHAOS_WEIGHTED_RSI_CALCULATOR_MQH
#include <MyIncludes\HeikinAshi_Tools.mqh>
//+==================================================================+
//| CLASS: CChaosWeightedRSI_Calculator |
//+==================================================================+
class CChaosWeightedRSI_Calculator
{
private:
int m_rsi_period;
int m_fdi_period;
double m_sensitivity;
ENUM_APPLIED_PRICE_HA_ALL m_source_type;
// Precalculated Invariants
double m_base_alpha;
double m_delta_x_sq;
double m_log_fdi_denom;
double m_inv_fdi_denom;
// Persistent Buffers
double m_price[];
double m_avg_gain[];
double m_avg_loss[];
double m_wrsi[];
// Heikin Ashi Buffers
double m_ha_open[], m_ha_high[], m_ha_low[], m_ha_close[];
CHeikinAshi_Calculator m_ha_engine;
bool PreparePriceSeries(const int rates_total, const int start_index,
const double &open[], const double &high[],
const double &low[], const double &close[]);
double CalculateChaosPoint(const int idx, const int length);
public:
CChaosWeightedRSI_Calculator(void);
~CChaosWeightedRSI_Calculator(void);
bool Init(const int rsi_period, const int fdi_period,
const double sensitivity, const ENUM_APPLIED_PRICE_HA_ALL source);
void Calculate(const int rates_total, const int prev_calculated,
const double &open[], const double &high[],
const double &low[], const double &close[],
double &out_wrsi[], const int history_limit = 0);
double GetWRSI(const int index) const;
int GetWarmupBars(void) const { return MathMax(m_rsi_period, m_fdi_period) + 2; }
};
//+------------------------------------------------------------------+
//| Constructor |
//+------------------------------------------------------------------+
CChaosWeightedRSI_Calculator::CChaosWeightedRSI_Calculator(void) :
m_rsi_period(14),
m_fdi_period(20),
m_sensitivity(1.0),
m_source_type(PRICE_CLOSE_STD),
m_base_alpha(0.07142857),
m_delta_x_sq(0.0),
m_log_fdi_denom(1.0),
m_inv_fdi_denom(1.0)
{
ArraySetAsSeries(m_price, false);
ArraySetAsSeries(m_avg_gain, false);
ArraySetAsSeries(m_avg_loss, false);
ArraySetAsSeries(m_wrsi, false);
ArraySetAsSeries(m_ha_open, false);
ArraySetAsSeries(m_ha_high, false);
ArraySetAsSeries(m_ha_low, false);
ArraySetAsSeries(m_ha_close, false);
}
//+------------------------------------------------------------------+
//| Destructor |
//+------------------------------------------------------------------+
CChaosWeightedRSI_Calculator::~CChaosWeightedRSI_Calculator(void)
{
ArrayFree(m_price);
ArrayFree(m_avg_gain);
ArrayFree(m_avg_loss);
ArrayFree(m_wrsi);
ArrayFree(m_ha_open);
ArrayFree(m_ha_high);
ArrayFree(m_ha_low);
ArrayFree(m_ha_close);
}
//+------------------------------------------------------------------+
//| Initialization |
//+------------------------------------------------------------------+
bool CChaosWeightedRSI_Calculator::Init(const int rsi_period, const int fdi_period,
const double sensitivity, const ENUM_APPLIED_PRICE_HA_ALL source)
{
m_rsi_period = (rsi_period < 2) ? 2 : rsi_period;
m_fdi_period = (fdi_period < 5) ? 5 : fdi_period;
m_sensitivity = (sensitivity <= 0.0) ? 1.0 : sensitivity;
m_source_type = source;
m_base_alpha = 1.0 / (double)m_rsi_period;
double delta_x = 1.0 / (double)(m_fdi_period - 1);
m_delta_x_sq = delta_x * delta_x;
m_log_fdi_denom = MathLog(2.0 * (double)(m_fdi_period - 1));
m_inv_fdi_denom = (m_log_fdi_denom > 1.0e-9) ? (1.0 / m_log_fdi_denom) : 1.0;
return true;
}
//+------------------------------------------------------------------+
//| Prepare Price Series (Unified Standard / Heikin Ashi) |
//+------------------------------------------------------------------+
bool CChaosWeightedRSI_Calculator::PreparePriceSeries(const int rates_total, const int start_index,
const double &open[], const double &high[],
const double &low[], const double &close[])
{
if(ArraySize(m_price) != rates_total)
{
ArrayResize(m_price, rates_total, 2048);
ArraySetAsSeries(m_price, false);
}
bool is_ha = (m_source_type <= PRICE_HA_CLOSE);
if(is_ha)
{
if(ArraySize(m_ha_open) != rates_total)
{
ArrayResize(m_ha_open, rates_total, 2048);
ArrayResize(m_ha_high, rates_total, 2048);
ArrayResize(m_ha_low, rates_total, 2048);
ArrayResize(m_ha_close, rates_total, 2048);
ArraySetAsSeries(m_ha_open, false);
ArraySetAsSeries(m_ha_high, false);
ArraySetAsSeries(m_ha_low, false);
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(m_source_type)
{
case PRICE_HA_OPEN:
m_price[i] = m_ha_open[i];
break;
case PRICE_HA_HIGH:
m_price[i] = m_ha_high[i];
break;
case PRICE_HA_LOW:
m_price[i] = m_ha_low[i];
break;
case PRICE_HA_MEDIAN:
m_price[i] = (m_ha_high[i] + m_ha_low[i]) * 0.5;
break;
case PRICE_HA_TYPICAL:
m_price[i] = (m_ha_high[i] + m_ha_low[i] + m_ha_close[i]) * 0.333333333333;
break;
case PRICE_HA_WEIGHTED:
m_price[i] = (m_ha_high[i] + m_ha_low[i] + 2.0 * m_ha_close[i]) * 0.25;
break;
case PRICE_HA_CLOSE:
default:
m_price[i] = m_ha_close[i];
break;
}
}
}
else
{
for(int i = start_index; i < rates_total; i++)
{
switch(m_source_type)
{
case PRICE_OPEN_STD:
m_price[i] = open[i];
break;
case PRICE_HIGH_STD:
m_price[i] = high[i];
break;
case PRICE_LOW_STD:
m_price[i] = low[i];
break;
case PRICE_MEDIAN_STD:
m_price[i] = (high[i] + low[i]) * 0.5;
break;
case PRICE_TYPICAL_STD:
m_price[i] = (high[i] + low[i] + close[i]) * 0.333333333333;
break;
case PRICE_WEIGHTED_STD:
m_price[i] = (high[i] + low[i] + 2.0 * close[i]) * 0.25;
break;
case PRICE_CLOSE_STD:
default:
m_price[i] = close[i];
break;
}
}
}
return true;
}
//+------------------------------------------------------------------+
//| Calculate Local Fractal Chaos Ratio [0.0, 1.0] |
//+------------------------------------------------------------------+
double CChaosWeightedRSI_Calculator::CalculateChaosPoint(const int idx, const int length)
{
if(idx < length - 1)
return 0.5;
int win_start = idx - length + 1;
double max_val = m_price[win_start];
double min_val = m_price[win_start];
for(int k = 1; k < length; k++)
{
double p = m_price[win_start + k];
if(p > max_val)
max_val = p;
if(p < min_val)
min_val = p;
}
double price_range = max_val - min_val;
double path_length = 0.0;
if(price_range > 1.0e-9)
{
double inv_range = 1.0 / price_range;
for(int k = 1; k < length; k++)
{
double diff_y = (m_price[win_start + k] - m_price[win_start + k - 1]) * inv_range;
path_length += MathSqrt(m_delta_x_sq + (diff_y * diff_y));
}
}
else
{
path_length = 1.0;
}
if(path_length <= 1.0e-9)
path_length = 1.0e-9;
double fdi = 1.0 + (MathLog(path_length) * m_inv_fdi_denom);
double chaos = (fdi - 1.0) / 0.5;
return MathMax(0.0, MathMin(1.0, chaos));
}
//+------------------------------------------------------------------+
//| Main Incremental Calculation Engine (O(1) on live ticks) |
//+------------------------------------------------------------------+
void CChaosWeightedRSI_Calculator::Calculate(const int rates_total, const int prev_calculated,
const double &open[], const double &high[],
const double &low[], const double &close[],
double &out_wrsi[], const int history_limit)
{
int warmup = GetWarmupBars();
if(rates_total < warmup)
return;
if(ArraySize(out_wrsi) != rates_total)
{
ArrayResize(out_wrsi, rates_total, 2048);
ArraySetAsSeries(out_wrsi, false);
}
// STATE PRESERVATION: Allocate arrays without wiping historical recursive registers!
if(ArraySize(m_avg_gain) != rates_total)
{
int old_sz = ArraySize(m_avg_gain);
ArrayResize(m_avg_gain, rates_total, 2048);
ArrayResize(m_avg_loss, rates_total, 2048);
ArrayResize(m_wrsi, rates_total, 2048);
ArraySetAsSeries(m_avg_gain, false);
ArraySetAsSeries(m_avg_loss, false);
ArraySetAsSeries(m_wrsi, false);
if(old_sz == 0 || prev_calculated == 0)
{
// Cold startup clean initialization
ArrayInitialize(m_avg_gain, EMPTY_VALUE);
ArrayInitialize(m_avg_loss, EMPTY_VALUE);
ArrayInitialize(m_wrsi, 50.0);
}
else
{
// Append only: initialize newly added elements, NEVER wipe historical memory!
for(int k = old_sz; k < rates_total; k++)
{
m_avg_gain[k] = EMPTY_VALUE;
m_avg_loss[k] = EMPTY_VALUE;
m_wrsi[k] = 50.0;
}
}
}
int start_prep = (prev_calculated > 0) ? (prev_calculated - 1) : 0;
if(!PreparePriceSeries(rates_total, start_prep, open, high, low, close))
return;
int start = (prev_calculated > 0) ? (prev_calculated - 1) : 1;
int actual_start = 1;
if(history_limit > 0 && prev_calculated == 0)
{
int limit_start = rates_total - history_limit;
if(limit_start > start)
{
start = limit_start;
actual_start = limit_start;
}
}
if(prev_calculated == 0)
{
for(int i = 0; i < start; i++)
{
out_wrsi[i] = 50.0;
m_avg_gain[i] = EMPTY_VALUE;
m_avg_loss[i] = EMPTY_VALUE;
m_wrsi[i] = 50.0;
}
}
for(int i = start; i < rates_total; i++)
{
double chaos = CalculateChaosPoint(i, m_fdi_period);
// Dynamically modulated smoothing factor
double adjusted_alpha = m_base_alpha * MathPow(1.0 - chaos, m_sensitivity);
adjusted_alpha = MathMax(0.001, MathMin(1.0, adjusted_alpha));
double change = m_price[i] - m_price[i - 1];
double gain = MathMax(change, 0.0);
double loss = MathMax(-change, 0.0);
// Safe seeding that does not rely on deleted memory
if(i == actual_start || m_avg_gain[i - 1] == EMPTY_VALUE || m_avg_loss[i - 1] == EMPTY_VALUE)
{
m_avg_gain[i] = gain;
m_avg_loss[i] = loss;
}
else
{
m_avg_gain[i] = m_avg_gain[i - 1] + adjusted_alpha * (gain - m_avg_gain[i - 1]);
m_avg_loss[i] = m_avg_loss[i - 1] + adjusted_alpha * (loss - m_avg_loss[i - 1]);
}
if(m_avg_loss[i] <= 1.0e-12)
{
out_wrsi[i] = 100.0;
}
else
{
double rs = m_avg_gain[i] / m_avg_loss[i];
out_wrsi[i] = 100.0 - (100.0 / (1.0 + rs));
}
m_wrsi[i] = out_wrsi[i];
}
}
//+------------------------------------------------------------------+
//| Accessor: Direct WRSI element query |
//+------------------------------------------------------------------+
double CChaosWeightedRSI_Calculator::GetWRSI(const int index) const
{
if(index >= 0 && index < ArraySize(m_wrsi))
return m_wrsi[index];
return 50.0;
}
#endif // CHAOS_WEIGHTED_RSI_CALCULATOR_MQH
//+------------------------------------------------------------------+