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https://github.com/softwaredevelop/mql5.git
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174 lines
5.7 KiB
Plaintext
174 lines
5.7 KiB
Plaintext
//+------------------------------------------------------------------+
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//| LinReg_R2_MTF_Pro.mq5 |
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//| Copyright 2026, xxxxxxxx|
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//+------------------------------------------------------------------+
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#property copyright "Copyright 2026, xxxxxxxx"
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#property version "1.00"
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#property description "R-Squared & Slope (Multi-Timeframe)."
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#property description "Measures Trend Quality of higher timeframe."
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#property indicator_separate_window
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#property indicator_buffers 4
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#property indicator_plots 2
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// Levels for R2
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#property indicator_level1 0.7
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#property indicator_level2 0.3
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#property indicator_levelcolor clrSilver
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#property indicator_levelstyle STYLE_DOT
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#property indicator_maximum 1.0
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#property indicator_minimum 0.0
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// Plot 1: R-Squared (Histogram)
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#property indicator_label1 "R2 MTF"
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#property indicator_type1 DRAW_COLOR_HISTOGRAM
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// Colors: Chop(Gray), Weak(Orange), Strong(Lime)
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#property indicator_color1 clrGray, clrOrange, clrLime
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#property indicator_style1 STYLE_SOLID
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#property indicator_width1 2
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// Plot 2: Slope (Optional Line - Hidden by default usually, but useful)
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// Let's keep it visible or accessible
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#property indicator_label2 "Slope MTF"
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#property indicator_type2 DRAW_NONE // Hidden by default, data window only
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#property indicator_color2 clrGold
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#include <MyIncludes\LinearRegression_Calculator.mqh>
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//--- Parameters
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input ENUM_TIMEFRAMES InpTimeframe = PERIOD_H1; // Target Timeframe
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input int InpPeriod = 20; // Regression Period
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input double InpTrendLevel = 0.7; // Strong Trend Level (R2)
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//--- Buffers
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double BufR2[];
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double BufColors[];
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double BufSlope[];
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double BufForecast[]; // Placeholder for calc
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//--- Internal HTF Data
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double h_open[], h_high[], h_low[], h_close[];
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double h_s[], h_r2[], h_f[]; // HTF Results
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datetime h_time[];
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CLinearRegressionCalculator *g_calc;
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//+------------------------------------------------------------------+
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//| Init |
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//+------------------------------------------------------------------+
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int OnInit()
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{
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if(InpTimeframe <= Period() && InpTimeframe!=PERIOD_CURRENT)
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Print("Warning: Target Timeframe should be > Current for proper MTF usage.");
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SetIndexBuffer(0, BufR2, INDICATOR_DATA);
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SetIndexBuffer(1, BufColors, INDICATOR_COLOR_INDEX);
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SetIndexBuffer(2, BufSlope, INDICATOR_DATA);
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SetIndexBuffer(3, BufForecast, INDICATOR_CALCULATIONS);
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string tf_name = StringSubstr(EnumToString(InpTimeframe), 7);
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string name = StringFormat("R2 MTF %s(%d)", tf_name, InpPeriod);
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IndicatorSetString(INDICATOR_SHORTNAME, name);
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g_calc = new CLinearRegressionCalculator();
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if(!g_calc.Init(InpPeriod))
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return INIT_FAILED;
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return(INIT_SUCCEEDED);
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}
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void OnDeinit(const int r) { if(CheckPointer(g_calc)==POINTER_DYNAMIC) delete g_calc; }
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//+------------------------------------------------------------------+
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//| Calculate |
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//+------------------------------------------------------------------+
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int OnCalculate(const int rates_total,
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const int prev_calculated,
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const datetime &time[],
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const double &open[],
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const double &high[],
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const double &low[],
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const double &close[],
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const long &tick_volume[],
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const long &volume[],
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const int &spread[])
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{
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// 1. Fetch HTF Data
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int htf_bars = iBars(_Symbol, InpTimeframe);
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if(htf_bars < InpPeriod + 1)
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return 0;
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int count = MathMin(htf_bars, 3000);
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// Set to Non-Series (Chronological)
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ArraySetAsSeries(h_time, false);
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ArraySetAsSeries(h_open, false);
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ArraySetAsSeries(h_high, false);
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ArraySetAsSeries(h_low, false);
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ArraySetAsSeries(h_close, false);
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if(CopyTime(_Symbol, InpTimeframe, 0, count, h_time) != count)
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return 0;
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if(CopyOpen(_Symbol, InpTimeframe, 0, count, h_open) != count)
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return 0;
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if(CopyHigh(_Symbol, InpTimeframe, 0, count, h_high) != count)
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return 0;
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if(CopyLow(_Symbol, InpTimeframe, 0, count, h_low) != count)
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return 0;
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if(CopyClose(_Symbol, InpTimeframe, 0, count, h_close) != count)
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return 0;
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// 2. Calc on HTF
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if(ArraySize(h_s) != count)
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{
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ArrayResize(h_s, count);
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ArrayResize(h_r2, count);
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ArrayResize(h_f, count);
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}
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// Running Calculator on HTF Arrays
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// Note: CalcState expects OHLC
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g_calc.CalculateState(count, 0, h_open, h_high, h_low, h_close, PRICE_CLOSE, h_s, h_r2, h_f);
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// 3. Map to Current Chart
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int start = (prev_calculated > 0) ? prev_calculated - 1 : 0;
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for(int i = start; i < rates_total; i++)
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{
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datetime t = time[i];
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int shift_htf = iBarShift(_Symbol, InpTimeframe, t, false);
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if(shift_htf >= 0)
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{
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int idx_htf = count - 1 - shift_htf;
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if(idx_htf >= 0 && idx_htf < count)
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{
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double r2 = h_r2[idx_htf];
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double sl = h_s[idx_htf];
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BufR2[i] = r2;
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BufSlope[i] = sl;
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// Color Logic
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if(r2 >= InpTrendLevel)
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BufColors[i] = 2.0; // Lime (Strong)
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else
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if(r2 <= 0.3)
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BufColors[i] = 0.0; // Gray (Chop)
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else
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BufColors[i] = 1.0; // Orange (Weak)
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}
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else
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{
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BufR2[i] = EMPTY_VALUE;
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BufSlope[i] = EMPTY_VALUE;
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}
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}
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}
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return(rates_total);
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}
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//+------------------------------------------------------------------+
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//+------------------------------------------------------------------+
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