feat: implement comprehensive AI decision display and reasoning panel
Major Features Added: - Complete AI decision tracking system with detailed reasoning display - Prominent gradient-styled AI reasoning panel on automation-v2 page - Test AI decision generator with realistic trading scenarios - Enhanced decision transparency showing entry/exit logic and leverage calculations - Fixed orphaned order cleanup to preserve reduce-only SL/TP orders - Integrated AI leverage calculator with 100x capability (up from 10x limit) - Added lastDecision property to automation status for UI display - Enhanced position monitoring with better cleanup triggers - Beautiful gradient-styled AI Trading Analysis panel - Color-coded confidence levels and recommendation displays - Detailed breakdown of entry strategy, stop loss logic, and take profit targets - Real-time display of AI leverage reasoning with safety buffer explanations - Test AI button for demonstration of decision-making process - SL/TP orders now execute properly (fixed cleanup interference) - AI calculates sophisticated leverage (8.8x-42.2x vs previous 1x hardcoded) - Complete decision audit trail with execution details - Risk management transparency with liquidation safety calculations - Why This Decision? - Prominent reasoning section - Entry & Exit Strategy - Price levels with color coding - AI Leverage Decision - Detailed calculation explanations - Execution status with success/failure indicators - Transaction IDs and comprehensive trade details All systems now provide full transparency of AI decision-making process.
This commit is contained in:
mindesbunister
608
lib/simple-automation.js.backup
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608
lib/simple-automation.js.backup
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@@ -0,0 +1,608 @@
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// Simple automation service for basic start/stop functionality
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// Import AI Leverage Calculator for dynamic leverage
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async function importAILeverageCalculator() {
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try {
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const { AILeverageCalculator } = await import('./ai-leverage-calculator.js');
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return AILeverageCalculator;
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} catch (error) {
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console.warn('⚠️ AI Leverage Calculator not available, using defau shouldExecuteTrade(analysis) {
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// Always allow trade execution - the useRealDEX flag determines if it's real or simulated
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console.log(`📊 TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
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const recommendation = analysis.recommendation?.toLowerCase() || '';
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const confidence = analysis.confidence || 0;
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// Strategy-specific confidence requirements
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let minConfidence = 75;
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if (this.config.selectedTimeframes?.includes('5') || this.config.selectedTimeframes?.includes('15')) {
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minConfidence = 80; // Higher confidence for scalping
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}
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const isHighConfidence = confidence >= minConfidence;
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const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell');
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console.log('🎯 TRADE DECISION: ' + recommendation + ' (' + confidence + '%) - Min: ' + minConfidence + '%');
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// Store decision data for UI display
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this.lastDecision = {
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timestamp: new Date().toISOString(),
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recommendation: analysis.recommendation || 'HOLD',
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confidence: confidence,
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minConfidenceRequired: minConfidence,
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reasoning: analysis.reasoning || analysis.summary || 'No detailed reasoning available',
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executed: false, // Will be updated if trade is executed
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executionDetails: null,
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executionError: null
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};
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return isHighConfidence && isClearDirection;
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}eturn null;
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}
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}
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// Import Enhanced Risk Manager with Learning for intelligent beach mode operation
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async function importEnhancedRiskManager() {
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try {
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const EnhancedAutonomousRiskManager = require('./enhanced-autonomous-risk-manager.js');
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return EnhancedAutonomousRiskManager;
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} catch (error) {
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console.warn('⚠️ Enhanced Risk Manager not available, falling back to stable monitor');
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// Fallback to stable risk monitor
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try {
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const StableRiskMonitor = require('./stable-risk-monitor.js');
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return StableRiskMonitor;
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} catch (fallbackError) {
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console.warn('⚠️ Stable Risk Monitor also not available, using basic monitoring');
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return null;
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}
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}
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}
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class SimpleAutomation {
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constructor() {
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this.isRunning = false;
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this.config = null;
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this.intervalId = null;
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this.riskManager = null; // Autonomous AI Risk Manager
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this.lastDecision = null; // Store last AI decision for UI display
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this.stats = {
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totalCycles: 0,
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totalTrades: 0,
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startTime: null,
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lastActivity: null,
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status: 'Stopped',
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networkErrors: 0,
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consecutiveErrors: 0
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};
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}
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async start(config) {
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try {
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if (this.isRunning) {
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return { success: false, message: 'Automation already running' };
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}
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// Validate basic config
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if (!config.selectedTimeframes || config.selectedTimeframes.length === 0) {
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return { success: false, message: 'At least one timeframe required' };
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}
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this.config = config;
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this.isRunning = true;
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this.stats.startTime = new Date().toISOString();
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this.stats.status = 'Running';
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console.log('✅ AUTOMATION STATUS: isRunning =', this.isRunning);
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console.log('🎯 LIVE TRADING:', this.config.enableTrading ? 'ENABLED' : 'DISABLED');
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this.stats.totalCycles = 0;
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// Initialize Enhanced AI Risk Manager with Learning Capabilities
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try {
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const EnhancedRiskManagerClass = await importEnhancedRiskManager();
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if (EnhancedRiskManagerClass) {
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this.riskManager = new EnhancedRiskManagerClass();
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console.log('🧠 ENHANCED BEACH MODE: AI learning system activated');
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console.log('🎯 System will learn from every decision and improve over time');
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// Start enhanced autonomous operation
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setTimeout(() => {
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if (this.riskManager && this.riskManager.beachMode) {
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this.riskManager.beachMode();
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console.log('🏖️ Full autonomous operation with AI learning active');
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}
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}, 2000);
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}
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} catch (error) {
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console.log('🔄 Continuing without enhanced autonomous risk monitoring');
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console.error('Risk manager initialization error:', error.message);
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}
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// Auto-enable trading when in LIVE mode
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if (config.mode === 'LIVE') {
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this.config.enableTrading = true;
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console.log('🔥 LIVE TRADING ENABLED: Real trades will be executed');
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} else {
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this.config.enableTrading = false;
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console.log('📊 SIMULATION MODE: Trades will be simulated only');
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}
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// Detect strategy
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const timeframes = config.selectedTimeframes;
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let strategy = 'General';
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const isScalping = timeframes.includes('5') || timeframes.includes('15') || timeframes.includes('30');
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const isDayTrading = timeframes.includes('60') || timeframes.includes('120');
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const isSwingTrading = timeframes.includes('240') || timeframes.includes('D');
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if (isScalping) strategy = 'Scalping';
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else if (isDayTrading) strategy = 'Day Trading';
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else if (isSwingTrading) strategy = 'Swing Trading';
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console.log('SIMPLE AUTOMATION: Starting ' + strategy + ' strategy');
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console.log('TIMEFRAMES: [' + timeframes.join(', ') + ']');
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console.log('MODE: ' + (config.mode || 'SIMULATION'));
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// Start simple monitoring cycle (10 minutes for safety)
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this.intervalId = setInterval(() => {
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this.runCycle();
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}, 10 * 60 * 1000); // 10 minutes
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// First cycle after 30 seconds
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setTimeout(() => {
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this.runCycle();
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}, 30000);
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return {
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success: true,
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message: strategy + ' automation started successfully',
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strategy: strategy,
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timeframes: timeframes
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};
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} catch (error) {
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console.error('Failed to start automation:', error);
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return { success: false, message: 'Failed to start automation: ' + error.message };
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}
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}
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async stop() {
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try {
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console.log('🛑 STOPPING AUTOMATION...');
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this.isRunning = false;
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this.stats.status = 'Stopped';
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console.log('✅ AUTOMATION STATUS: isRunning =', this.isRunning);
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if (this.intervalId) {
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clearInterval(this.intervalId);
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this.intervalId = null;
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}
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// Stop risk monitor if running
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if (this.riskManager && this.riskManager.stop) {
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this.riskManager.stop();
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console.log('🏖️ Beach mode monitoring stopped');
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}
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console.log('SIMPLE AUTOMATION: Stopped');
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return { success: true, message: 'Automation stopped successfully' };
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} catch (error) {
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console.error('Failed to stop automation:', error);
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return { success: false, message: 'Failed to stop automation: ' + error.message };
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}
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}
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async runCycle() {
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try {
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// Check if automation should still be running
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if (!this.isRunning) {
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console.log('⏹️ AUTOMATION STOPPED: Skipping cycle');
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return;
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}
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this.stats.totalCycles++;
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this.stats.lastActivity = new Date().toISOString();
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console.log('🔄 AUTOMATION CYCLE ' + this.stats.totalCycles + ': ' + (this.config?.symbol || 'SOLUSD'));
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console.log('⏰ TIME: ' + new Date().toLocaleTimeString());
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console.log('📊 STRATEGY: ' + (this.config.selectedTimeframes?.join(', ') || 'N/A') + ' timeframes');
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if (this.config) {
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// Perform actual analysis using enhanced screenshot API
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await this.performAnalysis();
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// Reset error counter on successful cycle
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this.stats.consecutiveErrors = 0;
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}
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} catch (error) {
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console.error('❌ CRITICAL ERROR in automation cycle:', error);
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console.error('❌ Stack trace:', error.stack);
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// Increment error counter
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this.stats.consecutiveErrors = (this.stats.consecutiveErrors || 0) + 1;
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// If too many consecutive errors, stop automation
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if (this.stats.consecutiveErrors >= 3) {
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console.error('🚨 TOO MANY ERRORS: Stopping automation after', this.stats.consecutiveErrors, 'consecutive failures');
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this.isRunning = false;
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this.stats.status = 'Stopped due to errors';
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if (this.intervalId) {
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clearInterval(this.intervalId);
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this.intervalId = null;
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}
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return;
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}
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console.log(`⚠️ Error ${this.stats.consecutiveErrors}/3 - Will retry next cycle`);
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}
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}
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async performAnalysis() {
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console.log(`📊 TRUE PARALLEL ANALYSIS: Starting simultaneous analysis for ${this.config.selectedTimeframes.length} timeframes...`);
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console.log(`🚀 This will capture ${this.config.selectedTimeframes.length * 2} screenshots in parallel (${this.config.selectedTimeframes.length} timeframes × 2 layouts)`);
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try {
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// Use internal container port for server-side API calls
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/batch-analysis`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: this.config.symbol,
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timeframes: this.config.selectedTimeframes, // All timeframes at once!
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layouts: ['ai', 'diy'],
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analyze: true
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})
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});
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if (!response.ok) {
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console.warn(`⚠️ BATCH API ERROR: ${response.status}, falling back to sequential...`);
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return this.performSequentialAnalysis();
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}
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const result = await response.json();
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if (result.success && result.analysis) {
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// Reset consecutive error counter on success
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this.stats.consecutiveErrors = 0;
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console.log(`✅ PARALLEL ANALYSIS COMPLETE: ${result.totalScreenshots} screenshots captured`);
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console.log(`📊 COMBINED Recommendation: ${result.analysis.recommendation}`);
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console.log(`🎯 COMBINED Confidence: ${result.analysis.confidence}%`);
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console.log(`⏰ Timeframes analyzed: ${result.timeframes.join(', ')}`);
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// Check if we should execute a trade based on combined analysis
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if (this.shouldExecuteTrade(result.analysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(result.analysis);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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}
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return;
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} else {
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console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
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return this.performSequentialAnalysis();
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}
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} catch (error) {
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// Track network errors
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this.stats.networkErrors++;
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this.stats.consecutiveErrors++;
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console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${this.stats.networkErrors}):`, error.message);
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// If too many consecutive errors, slow down
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if (this.stats.consecutiveErrors >= 3) {
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console.warn(`⚠️ HIGH NETWORK ERROR COUNT: ${this.stats.consecutiveErrors} consecutive failures. System will continue but may slow down.`);
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}
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console.log(`🔄 FALLBACK: Using sequential analysis...`);
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return this.performSequentialAnalysis();
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}
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}
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// Fallback sequential analysis method
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async performSequentialAnalysis() {
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try {
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console.log('📸 SEQUENTIAL ANALYSIS: Starting...');
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const allResults = [];
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// Analyze each timeframe separately
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for (const timeframe of this.config.selectedTimeframes) {
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console.log(`📊 ANALYZING: ${timeframe} timeframe...`);
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// Use the enhanced screenshot API for each timeframe
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
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const response = await fetch(`${baseUrl}/api/enhanced-screenshot`, {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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symbol: this.config.symbol,
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timeframe: timeframe, // Send one timeframe at a time
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layouts: ['ai', 'diy'],
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analyze: true
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})
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});
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if (!response.ok) {
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console.log(`⚠️ TIMEFRAME ${timeframe}: API error ${response.status}`);
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continue;
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}
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const result = await response.json();
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if (result.analysis) {
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console.log(`✅ TIMEFRAME ${timeframe}: ${result.analysis.recommendation} (${result.analysis.confidence}%)`);
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allResults.push({
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timeframe: timeframe,
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analysis: result.analysis,
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screenshots: result.screenshots
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});
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} else {
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console.log(`⚠️ TIMEFRAME ${timeframe}: No analysis data`);
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}
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}
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if (allResults.length > 0) {
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console.log('✅ MULTI-TIMEFRAME ANALYSIS COMPLETE:');
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// Combine results for overall decision
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const combinedAnalysis = this.combineTimeframeAnalysis(allResults);
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console.log('📊 COMBINED Recommendation: ' + combinedAnalysis.recommendation);
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console.log('🎯 COMBINED Confidence: ' + combinedAnalysis.confidence + '%');
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console.log('⏰ Timeframes analyzed: ' + allResults.map(r => r.timeframe).join(', '));
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// Check if we should execute a trade based on combined analysis
|
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if (this.shouldExecuteTrade(combinedAnalysis)) {
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console.log('💰 TRADE SIGNAL: Executing trade...');
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await this.executeTrade(combinedAnalysis);
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} else {
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console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
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}
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} else {
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console.log('⚠️ ANALYSIS: No valid analysis data from any timeframe');
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}
|
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|
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} catch (error) {
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console.error('❌ ANALYSIS ERROR:', error.message);
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}
|
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}
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combineTimeframeAnalysis(results) {
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if (results.length === 1) {
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return results[0].analysis;
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}
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// Simple combination logic - can be enhanced
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const recommendations = results.map(r => r.analysis.recommendation?.toLowerCase() || 'hold');
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const confidences = results.map(r => r.analysis.confidence || 0);
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// Count votes for each recommendation
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const votes = {};
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recommendations.forEach(rec => {
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votes[rec] = (votes[rec] || 0) + 1;
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});
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// Get majority recommendation
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const majorityRec = Object.keys(votes).reduce((a, b) => votes[a] > votes[b] ? a : b);
|
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// Average confidence, but boost if multiple timeframes agree
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const avgConfidence = confidences.reduce((sum, conf) => sum + conf, 0) / confidences.length;
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const agreementBonus = votes[majorityRec] > 1 ? 10 : 0; // +10% if multiple agree
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const finalConfidence = Math.min(95, avgConfidence + agreementBonus);
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console.log(`🔄 CONSENSUS: ${majorityRec.toUpperCase()} from ${votes[majorityRec]}/${results.length} timeframes`);
|
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|
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return {
|
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recommendation: majorityRec,
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confidence: Math.round(finalConfidence),
|
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reasoning: `Multi-timeframe consensus from ${results.length} timeframes (${results.map(r => r.timeframe).join(', ')})`,
|
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timeframeResults: results
|
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};
|
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}
|
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|
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shouldExecuteTrade(analysis) {
|
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// Always allow trade execution - the useRealDEX flag determines if it's real or simulated
|
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console.log(`<60> TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
|
||||
|
||||
const recommendation = analysis.recommendation?.toLowerCase() || '';
|
||||
const confidence = analysis.confidence || 0;
|
||||
|
||||
// Strategy-specific confidence requirements
|
||||
let minConfidence = 75;
|
||||
if (this.config.selectedTimeframes?.includes('5') || this.config.selectedTimeframes?.includes('15')) {
|
||||
minConfidence = 80; // Higher confidence for scalping
|
||||
}
|
||||
|
||||
const isHighConfidence = confidence >= minConfidence;
|
||||
const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell');
|
||||
|
||||
console.log('🎯 TRADE DECISION: ' + recommendation + ' (' + confidence + '%) - Min: ' + minConfidence + '%');
|
||||
|
||||
return isHighConfidence && isClearDirection;
|
||||
}
|
||||
|
||||
async executeTrade(analysis) {
|
||||
try {
|
||||
console.log('💰 EXECUTING TRADE...');
|
||||
console.log('📊 Analysis data:', JSON.stringify(analysis, null, 2));
|
||||
|
||||
// Map analysis recommendation to trading side
|
||||
const recommendation = analysis.recommendation?.toLowerCase() || '';
|
||||
let side = '';
|
||||
|
||||
if (recommendation.includes('buy')) {
|
||||
side = 'BUY';
|
||||
} else if (recommendation.includes('sell')) {
|
||||
side = 'SELL';
|
||||
} else {
|
||||
console.log('❌ TRADE SKIP: Invalid recommendation - ' + recommendation);
|
||||
return { success: false, error: 'Invalid recommendation: ' + recommendation };
|
||||
}
|
||||
|
||||
// Extract stop loss and take profit from analysis
|
||||
let stopLoss = null;
|
||||
let takeProfit = null;
|
||||
|
||||
// Try to extract from the structured analysis format
|
||||
if (analysis.stopLoss && typeof analysis.stopLoss === 'object') {
|
||||
stopLoss = analysis.stopLoss.price;
|
||||
} else if (analysis.stopLoss && typeof analysis.stopLoss === 'number') {
|
||||
stopLoss = analysis.stopLoss;
|
||||
}
|
||||
|
||||
// Extract take profit - prefer tp1 if available
|
||||
if (analysis.takeProfits && typeof analysis.takeProfits === 'object') {
|
||||
if (analysis.takeProfits.tp1 && analysis.takeProfits.tp1.price) {
|
||||
takeProfit = analysis.takeProfits.tp1.price;
|
||||
} else if (analysis.takeProfits.tp2 && analysis.takeProfits.tp2.price) {
|
||||
takeProfit = analysis.takeProfits.tp2.price;
|
||||
}
|
||||
} else if (analysis.takeProfit && typeof analysis.takeProfit === 'number') {
|
||||
takeProfit = analysis.takeProfit;
|
||||
}
|
||||
|
||||
// Fallback: try to extract from nested levels object
|
||||
if (!stopLoss && analysis.levels) {
|
||||
stopLoss = analysis.levels.stopLoss || analysis.levels.stop;
|
||||
}
|
||||
if (!takeProfit && analysis.levels) {
|
||||
takeProfit = analysis.levels.takeProfit || analysis.levels.target;
|
||||
}
|
||||
|
||||
// Parse numeric values if they're strings
|
||||
if (stopLoss && typeof stopLoss === 'string') {
|
||||
stopLoss = parseFloat(stopLoss.replace(/[^0-9.]/g, ''));
|
||||
}
|
||||
if (takeProfit && typeof takeProfit === 'string') {
|
||||
takeProfit = parseFloat(takeProfit.replace(/[^0-9.]/g, ''));
|
||||
}
|
||||
|
||||
console.log(`🎯 Trade levels - SL: ${stopLoss}, TP: ${takeProfit}`);
|
||||
|
||||
// Calculate optimal leverage using AI Leverage Calculator
|
||||
let optimalLeverage = 1; // Default fallback
|
||||
console.log('🔧 DEBUG: Starting leverage calculation...');
|
||||
try {
|
||||
const AILeverageCalculator = await importAILeverageCalculator();
|
||||
console.log('🔧 DEBUG: AI Leverage Calculator imported:', !!AILeverageCalculator);
|
||||
if (AILeverageCalculator && stopLoss) {
|
||||
console.log('🔧 DEBUG: Both calculator and stopLoss available, proceeding...');
|
||||
// Get current price from analysis
|
||||
const currentPrice = analysis.entry?.price || analysis.currentPrice || 178; // fallback price
|
||||
|
||||
// Get real account data from Drift API
|
||||
let accountValue = 49; // fallback
|
||||
let availableBalance = 49; // fallback
|
||||
|
||||
try {
|
||||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
|
||||
console.log('🔧 DEBUG: Fetching balance from:', baseUrl);
|
||||
const balanceResponse = await fetch(`${baseUrl}/api/drift/balance`);
|
||||
const balanceData = await balanceResponse.json();
|
||||
if (balanceData.success) {
|
||||
accountValue = balanceData.accountValue;
|
||||
availableBalance = balanceData.availableBalance;
|
||||
console.log(`💰 Real account data: $${accountValue.toFixed(2)} total, $${availableBalance.toFixed(2)} available`);
|
||||
} else {
|
||||
console.log('🔧 DEBUG: Balance API returned error:', balanceData);
|
||||
}
|
||||
} catch (balanceError) {
|
||||
console.warn('⚠️ Failed to get real balance, using fallback:', balanceError.message);
|
||||
}
|
||||
|
||||
console.log(`🧮 Calculating optimal leverage: Entry=$${currentPrice}, StopLoss=$${stopLoss}`);
|
||||
|
||||
const leverageResult = AILeverageCalculator.calculateOptimalLeverage({
|
||||
accountValue,
|
||||
availableBalance,
|
||||
entryPrice: currentPrice,
|
||||
stopLossPrice: stopLoss,
|
||||
side: side === 'BUY' ? 'long' : 'short',
|
||||
maxLeverageAllowed: 100, // Drift platform max (can go up to 101x)
|
||||
safetyBuffer: 0.10 // 10% safety buffer
|
||||
});
|
||||
|
||||
optimalLeverage = leverageResult.recommendedLeverage;
|
||||
console.log(`🎯 AI Calculated Leverage: ${optimalLeverage.toFixed(1)}x (Risk: ${leverageResult.riskAssessment})`);
|
||||
console.log(`📊 Leverage Details: ${leverageResult.reasoning}`);
|
||||
} else {
|
||||
console.log('🔧 DEBUG: Skipping leverage calc - Calculator:', !!AILeverageCalculator, 'StopLoss:', !!stopLoss);
|
||||
}
|
||||
} catch (leverageError) {
|
||||
console.warn('⚠️ Leverage calculation failed, using default 1x:', leverageError.message);
|
||||
}
|
||||
|
||||
console.log(`🔧 DEBUG: Final leverage to use: ${optimalLeverage}x`);
|
||||
|
||||
// Use the trading API with proper fields for Drift
|
||||
const tradePayload = {
|
||||
symbol: this.config.symbol,
|
||||
side: side,
|
||||
amount: this.config.tradingAmount || 49, // Use available balance
|
||||
leverage: optimalLeverage, // Use AI-calculated optimal leverage
|
||||
stopLoss: stopLoss,
|
||||
takeProfit: takeProfit,
|
||||
useRealDEX: true, // Enable LIVE trading always
|
||||
analysis: analysis // Include analysis for reference
|
||||
};
|
||||
|
||||
console.log('📊 TRADE PAYLOAD:', tradePayload);
|
||||
|
||||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:3000';
|
||||
const response = await fetch(`${baseUrl}/api/trading/execute-drift`, {
|
||||
method: 'POST',
|
||||
headers: { 'Content-Type': 'application/json' },
|
||||
body: JSON.stringify(tradePayload)
|
||||
});
|
||||
|
||||
const result = await response.json();
|
||||
|
||||
if (result.success) {
|
||||
console.log('✅ TRADE EXECUTED: ' + result.message);
|
||||
this.stats.totalTrades = (this.stats.totalTrades || 0) + 1;
|
||||
this.stats.successfulTrades = (this.stats.successfulTrades || 0) + 1;
|
||||
} else {
|
||||
console.log('❌ TRADE FAILED: ' + result.error);
|
||||
}
|
||||
|
||||
return result;
|
||||
} catch (error) {
|
||||
console.error('❌ TRADE ERROR:', error.message);
|
||||
return { success: false, error: error.message };
|
||||
}
|
||||
}
|
||||
|
||||
getStatus() {
|
||||
const baseStatus = {
|
||||
isActive: this.isRunning,
|
||||
mode: this.config?.mode || 'SIMULATION',
|
||||
enableTrading: this.config?.enableTrading || false,
|
||||
tradingStatus: this.config?.enableTrading ? 'REAL TRADES' : 'SIMULATED ONLY',
|
||||
symbol: this.config?.symbol || 'SOLUSD',
|
||||
timeframes: this.config?.selectedTimeframes || [],
|
||||
automationType: 'SIMPLE',
|
||||
...this.stats
|
||||
};
|
||||
|
||||
// Add more descriptive status based on running state
|
||||
if (this.isRunning) {
|
||||
baseStatus.detailedStatus = 'Running - Monitoring for trade opportunities';
|
||||
baseStatus.nextAction = 'Next analysis cycle in progress';
|
||||
} else {
|
||||
baseStatus.detailedStatus = 'Stopped - No monitoring active';
|
||||
baseStatus.nextAction = 'Start automation to begin monitoring';
|
||||
}
|
||||
|
||||
return baseStatus;
|
||||
}
|
||||
}
|
||||
|
||||
// Export singleton instance
|
||||
const simpleAutomation = new SimpleAutomation();
|
||||
export { simpleAutomation };
|
||||
Reference in New Issue
Block a user