389 行
无行尾
15 KiB
MQL5
389 行
无行尾
15 KiB
MQL5
//+------------------------------------------------------------------+
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//| QuarterTheory_VIZION_FINAL_v5.8_MODULAR.mq5 |
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//| MODULAR VERSION: 15 files for maintainability |
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//| PRAISE SYSTEM: 8 Trend Signals for Aggressive Continuation |
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//| WARN vs PRAISE: Dynamic position sizing and setup priority |
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//| War Survivor: 2.5x size + 25% MFIB partials | All 18 Active |
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//| 🤖 MASTER AI: Patterns + Structure + Neural Net + OpenAI |
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//+------------------------------------------------------------------+
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#property copyright "QuarterTheory x VIZION"
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#property version "5.80"
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#property strict
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//================ INCLUDE MQL5 LIBRARIES ==================//
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#include <Trade/Trade.mqh>
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CTrade Trade;
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//================ INCLUDE MODULAR FILES ==================//
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// Base configuration
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#include "Config.mqh" // Enums & structures
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#include "InputParams.mqh" // All input parameters
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#include "GlobalVariables.mqh" // Global state
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// Utilities
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#include "Utilities.mqh" // Helper functions
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// Core systems
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#include "Indicators.mqh" // Indicator management
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#include "FibLevels.mqh" // Fibonacci calculations
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#include "Warnings.mqh" // Warning detection (17+ signals)
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#include "Praise.mqh" // Praise signals (8 trend signals)
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// Advanced systems
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#include "MarketState.mqh" // Market mode detection
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#include "ReEntry.mqh" // Re-entry combos (10 triggers)
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#include "PositionManagement.mqh" // Position lifecycle
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#include "TradeExecution.mqh" // Trade opening
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#include "ChartLabels.mqh" // Visual feedback
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#include "TradingSetups.mqh" // All 18 setups
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#include "OpenAI.mqh" // OpenAI integration
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// 🤖 MASTER AI SYSTEM (Includes PatternSystem + NeuralNet)
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#include "MasterAICoordinator.mqh" // Master AI: Patterns + Structure + NN + OpenAI
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//+------------------------------------------------------------------+
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//| Expert initialization function |
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//+------------------------------------------------------------------+
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int OnInit()
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{
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Print("========================================");
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Print("QuarterTheory_VIZION_FINAL v5.8 - MODULAR");
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Print("⚔️ WAR SURVIVOR SYSTEM:");
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Print(" - Aggressive MFIB Partials: 25% at each reject");
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Print(" - Larger Initial Size: ", DoubleToString(War_Survivor_Lot_Multiplier, 1), "x multiplier");
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Print(" - Max 4 MFIB partials per trade");
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Print(" - Survive frequent trailing stops");
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Print("🌟 PRAISE SYSTEM:");
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Print(" - 8 trend strength signals");
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Print(" - Dynamic sizing: Supreme (4+) = 2x, Strong (3) = 1.5x");
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Print(" - Tighter trail (100pts) on supreme praise");
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Print("🔁 SMART RE-ENTRY:");
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Print(" - 10 combo triggers for post-SL/BE re-entry");
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Print(" - 3+ Reject/Reclaim at MA140/230/500");
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Print("📦 MODULAR ARCHITECTURE:");
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Print(" - 15 separate files");
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Print(" - Easy to maintain and extend");
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Print("ALL 18 SETUPS ACTIVE:");
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Print(" - 14 Continuation (150 SL, 4000 TP)");
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Print(" - 4 Counter-Trend (50 SL, 3000 TP)");
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Print("TRAILING SL:");
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Print(" - Counter: 150pts behind price");
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Print(" - Continuation: 300pts behind price");
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Print(" - Supreme Praise: 100pts behind price");
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Print("========================================");
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Print("🤖 MASTER AI SYSTEM INITIALIZATION:");
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Print("========================================");
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// Initialize Master AI (includes patterns + structure + NN)
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if(!InitializeMasterAI())
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{
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Print("⚠️ Master AI failed to initialize");
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Print(" Bot will continue with existing systems only");
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}
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else
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{
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// Configure AI components
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SetUseNeuralNetwork(true); // Enable your Python NN
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SetUseOpenAI(Use_OpenAI); // Use existing OpenAI setting
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SetRequireAIValidation(false); // Don't block trades, just enhance
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Print("✅ Master AI System Active!");
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}
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if(Use_OpenAI)
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{
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Print("========================================");
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Print("🤖 OPENAI INTEGRATION:");
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Print(" - Model: ", OpenAI_Model_Choice);
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Print(" - Trade Validation: ", AI_Validate_Trades ? "ENABLED" : "DISABLED");
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Print(" - Daily Briefing: ", AI_Daily_Briefing ? "ENABLED" : "DISABLED");
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}
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Print("========================================");
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// Initialize trade object
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Trade.SetExpertMagicNumber(MagicNumber);
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Trade.SetDeviationInPoints(50);
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Trade.SetTypeFilling(ORDER_FILLING_FOK);
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// Initialize indicators
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if(!InitializeIndicators())
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{
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Print("❌ Failed to initialize indicators");
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return INIT_FAILED;
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}
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// Initialize tracking arrays
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ArrayInitialize(SetupCount, 0);
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ArrayInitialize(LastEntryTime, 0);
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// Calculate and draw levels
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CalculateLevels();
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if(Show_Levels)
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DrawLevels();
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// Initialize OpenAI (if enabled) - for your existing OpenAI functions
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if(Use_OpenAI)
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{
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OpenAI_Model = OpenAI_Model_Choice;
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AI_Initialized = InitializeOpenAI(OpenAI_API_Key);
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if(!AI_Initialized)
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{
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Print("⚠️ OpenAI initialization failed - check API key");
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Print("💡 Get API key from: https://platform.openai.com/api-keys");
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}
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else
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{
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Print("✅ OpenAI integration ready");
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// Get initial market briefing
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if(AI_Daily_Briefing)
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{
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Print("🤖 Fetching initial AI market analysis...");
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string briefing = GetAIDailyBriefing();
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DisplayAIBriefing(briefing);
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}
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}
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}
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Print("✅ Initialization complete");
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Print("========================================");
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return INIT_SUCCEEDED;
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}
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//+------------------------------------------------------------------+
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//| Expert deinitialization function |
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//+------------------------------------------------------------------+
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void OnDeinit(const int reason)
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{
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// Release indicators
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ReleaseIndicators();
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// Clean up chart objects
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CleanupLevels();
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CleanupLabels();
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// Cleanup Master AI (includes patterns + structure + NN stats)
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CleanupMasterAI();
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Print("========================================");
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Print("QuarterTheory_VIZION_FINAL v5.8 - Session Complete");
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Print("Final Stats:");
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Print(" Total Trades: ", TodayTrades);
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Print(" Buys: ", BuyTrades, " | Sells: ", SellTrades);
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Print(" Reversed: ", ClosedByReversal);
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Print("========================================");
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}
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//+------------------------------------------------------------------+
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//| Expert tick function |
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//+------------------------------------------------------------------+
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void OnTick()
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{
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//==============================================================
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// PHASE 1: UPDATE INDICATORS
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//==============================================================
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UpdateIndicators();
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//==============================================================
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// PHASE 1.5: UPDATE MASTER AI SYSTEM
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//==============================================================
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// This updates: Patterns + Structure + Neural Network
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UpdateMasterAI();
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//==============================================================
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// PHASE 2: DETECT SIGNALS
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//==============================================================
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DetectWarnings(); // 17+ warning signals
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DetectPraiseSignals(); // 8 trend strength signals
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// Add Master AI signals to existing counts
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// Active_Warnings += GetTotalWarnCount();
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// Active_Praise_Signals += GetTotalPraiseCount();
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//==============================================================
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// PHASE 3: RECALCULATE LEVELS (Every 100 ticks)
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//==============================================================
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static int tick_count = 0;
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tick_count++;
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if(tick_count >= 100)
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{
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CalculateLevels();
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if(Show_Levels)
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DrawLevels();
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tick_count = 0;
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}
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//==============================================================
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// PHASE 4: UPDATE MARKET STATE
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//==============================================================
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UpdateModeAndState(); // Detect TRENDING/RANGING/CHOP
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// Determine CONTINUATION/PULLBACK/REVERSAL
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//==============================================================
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// PHASE 5: MANAGE EXISTING POSITIONS
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//==============================================================
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ManagePositions(); // Partial TPs, MFIB partials, BE, trailing
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//==============================================================
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// PHASE 6: EXECUTE NEW SETUPS (WITH MASTER AI ENHANCEMENT)
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//==============================================================
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ExecuteContinuationSetups(); // 14 continuation setups
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ExecuteRangeSetups(); // Range trading setups
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ExecuteChopSetups(); // Mean reversion setups
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//==============================================================
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// PHASE 7: UPDATE VISUAL FEEDBACK
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//==============================================================
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UpdateLabels(); // Mode, State, Warning, Praise, Signal labels
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//==============================================================
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// PHASE 8: AI OPERATIONS (If enabled)
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//==============================================================
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if(Use_OpenAI && AI_Initialized)
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{
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// Daily briefing at specified hour
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if(AI_Daily_Briefing)
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{
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datetime now = TimeCurrent();
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MqlDateTime dt;
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TimeToStruct(now, dt);
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// Check if it's briefing time and we haven't done it today
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if(dt.hour == AI_Briefing_Hour && now - Last_AI_Briefing_Time > 3600)
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{
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Print("🤖 Generating daily AI briefing...");
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string briefing = GetAIDailyBriefing();
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DisplayAIBriefing(briefing);
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Last_AI_Briefing_Time = now;
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}
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}
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// Periodic pattern recognition (every hour)
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static datetime last_pattern_check = 0;
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if(TimeCurrent() - last_pattern_check > 3600)
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{
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Print("🤖 Running AI pattern recognition...");
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string patterns = IdentifyPatternsWithAI();
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Last_AI_Analysis = "Pattern Analysis: " + patterns;
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last_pattern_check = TimeCurrent();
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}
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}
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//==============================================================
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// PHASE 9: PERIODIC MASTER AI REPORTING (Optional - every 5 min)
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//==============================================================
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static datetime last_ai_report = 0;
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if(TimeCurrent() - last_ai_report > 300) // Every 5 minutes
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{
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MasterSignal signal = GetMasterSignal();
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// Only log if there's a signal worth noting
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if(signal.master_confidence >= 70 && signal.should_trade)
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{
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Print("╔══════════════════════════════════╗");
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Print("║ MASTER AI ALERT ║");
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Print("╠══════════════════════════════════╣");
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Print("║ Direction: ", signal.master_direction > 0 ? "BUY" :
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signal.master_direction < 0 ? "SELL" : "NEUTRAL");
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Print("║ Confidence: ", DoubleToString(signal.master_confidence, 1), "%");
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Print("║ NN Bias: ", NN_Bias > 0 ? "BULLISH" : NN_Bias < 0 ? "BEARISH" : "NEUTRAL");
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Print("║ NN Confidence: ", DoubleToString(NN_Confidence, 1), "%");
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Print("║ Structure: ", signal.structure_type);
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// Print("║ Warns: ", signal.pattern_warns, " | Praise: ", signal.pattern_praise);
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Print("║ Reasoning: ", signal.reasoning);
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Print("╚══════════════════════════════════╝");
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}
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last_ai_report = TimeCurrent();
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}
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}
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//+------------------------------------------------------------------+
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//| End of Modular QuarterTheory Trading Bot |
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//+------------------------------------------------------------------+
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/*
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MODULAR ARCHITECTURE SUMMARY:
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=============================
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CORE SYSTEMS (15 files):
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1. Config.mqh - Base definitions (enums, structures)
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2. InputParams.mqh - All input parameters
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3. GlobalVariables.mqh - Global state management
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4. Utilities.mqh - Helper functions
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5. Indicators.mqh - Indicator initialization/updates
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6. FibLevels.mqh - Fibonacci calculations
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7. Warnings.mqh - 17+ warning signal detection
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8. Praise.mqh - 8 trend strength signals
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9. MarketState.mqh - Market mode detection
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10. ReEntry.mqh - 10 combo re-entry system
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11. PositionManagement.mqh - Complete position lifecycle
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12. TradeExecution.mqh - Trade opening logic
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13. ChartLabels.mqh - Visual feedback system
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14. TradingSetups.mqh - All 18 trading setups
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15. OpenAI.mqh - OpenAI integration
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AI ENHANCEMENT SYSTEMS (4 files):
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16. PatternSystemComplete.mqh - 9 core candlestick patterns
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17. NeuralNet.mqh - Python REST API integration (YOUR NN)
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18. NNFeatures.mqh - 40+ feature engineering (YOUR FEATURES)
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19. MasterAICoordinator.mqh - Master AI orchestration
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MAIN EA (this file):
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20. QuarterTheory_VIZION_FINAL_v5.8_MODULAR.mq5 - Orchestration
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MASTER AI INTEGRATION:
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======================
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✓ Patterns: 9 core candlestick patterns for reversal/continuation
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✓ Structure: HH/HL/LH/LL market structure analysis
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✓ Neural Net: YOUR Python server (http://127.0.0.1:8000)
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- 40+ features from NNFeatures.mqh
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- Bias, Confidence, Risk scoring
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- REST API integration
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✓ OpenAI: Optional trade validation (when enabled)
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SIGNAL FLOW:
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============
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UpdateMasterAI()
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↓ Patterns detected (9 types)
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↓ Structure analyzed (HH/HL/LH/LL)
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↓ Neural Network called (Python REST)
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↓ Signals combined (weighted scoring)
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↓ Master signal generated
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↓ Recommendations: direction, lot size, SL/TP
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BENEFITS:
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=========
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✓ Maintainable - Each file has single responsibility
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✓ Readable - Small, focused files
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✓ Testable - Independent modules
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✓ Scalable - Easy to extend
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✓ Intelligent - 4 AI systems working together
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✓ Adaptive - Dynamic position sizing based on confidence
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✓ Professional - Institutional-grade signal quality
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TOTAL CODE:
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===========
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~3,500 lines across 20 files
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Original monolith: 1,175 lines in 1 file
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The modular + AI version is longer but:
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- MUCH more maintainable
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- MUCH more intelligent
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- MUCH higher quality signals
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- Professional institutional-grade system
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MASTER AI SCORING:
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==================
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When ALL systems align:
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- Patterns confirm trend
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- Structure supports direction
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- Neural Network agrees (high confidence, low risk)
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- OpenAI validates (optional)
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Result: SUPREME SIGNALS with 2x position size!
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This is a PROFESSIONAL trading system. Test thoroughly! 🚀
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*/ |