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Toh4iem9
2026-02-04 13:12:10 +01:00
parent 9d1b32e60b
commit 2c49843980
1 changed files with 1 additions and 14 deletions
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Include/MyIncludes/Squeeze_Calculator.mqh
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@@ -149,25 +149,12 @@ void CSqueezeCalculator::Calculate(int rates_total, int prev_calculated, ENUM_AP
// Assuming i is chronological // Assuming i is chronological
if(i > 0) if(i > 0)
{ {
// We can use a linear regression logic or simple smoothing.
// Let's use Linear Regression of the delta over 12 bars for genuine "TTM" feel
// Calculating LinReg Slope inline for last 'm_mom_period' bars
double sum_x = 0, sum_y = 0, sum_xy = 0, sum_xx = 0; double sum_x = 0, sum_y = 0, sum_xy = 0, sum_xx = 0;
int n = m_mom_period; int n = m_mom_period;
// Standard Linear Regression Forecast Logic on Price Deviation
// We regress Price[k] against k
// Actually, most Squeeze indicators use:
// Val = LinearRegression( Source - (Highest+Lowest)/2 + SMA ) / 2 ... complicated.
// Professional Approach: Smoothed Delta
// This is robust and fast (O(1)).
double mom_raw = close[i] - ((high[ArrayMaximum(high, i-m_period+1, m_period)] + low[ArrayMinimum(low, i-m_period+1, m_period)]) / 2.0 + m_bb_mid[i]) / 2.0; double mom_raw = close[i] - ((high[ArrayMaximum(high, i-m_period+1, m_period)] + low[ArrayMinimum(low, i-m_period+1, m_period)]) / 2.0 + m_bb_mid[i]) / 2.0;
// Linear Regression on this 'mom_raw' is heavy. out_mom[i] = mom_raw;
// Let's use simple coordinate smoothing.
out_mom[i] = mom_raw; // Can be enhanced later with LinReg engine if strict TTM required
} }
else else
out_mom[i] = 0; out_mom[i] = 0;