236e2b0d31
- Integrated SimplifiedStopLossLearner into automation - Every AI decision now recorded for learning (stop loss, take profit, confidence) - Trade outcomes tracked and compared to AI predictions - Learning patterns improve future AI decisions - Enhanced status dashboard with learning insights - Proper DCA: increase position size + adjust existing SL/TP (not create new) - AI-calculated optimal levels for scaled positions - Prevents order fragmentation (fixes 24+ order problem) - Unified risk management for entire scaled position TIMEFRAME-AWARE INTERVALS: - Scalping (5m/15m): 5-15 minute analysis intervals - Day Trading (1h/4h): 10-30 minute intervals - Swing Trading (4h/1d): 23-68 minute intervals - Perfect for 5-minute scalping with DCA protection - 2-hour DCA cooldown prevents order spam - Position existence checks before new trades - Direction matching validation - Learning-based decision improvements - AI calculates ALL levels (entry, SL, TP, leverage, scaling) - Every calculation recorded and learned from - Position scaling uses AI intelligence - Timeframe-appropriate analysis frequency - Professional order management - Continuous learning and improvement ADDRESSES ALL USER CONCERNS: - 5-minute scalping compatibility ✅ - Position scaling DCA (adjust existing SL/TP) ✅ - AI calculations being learned from ✅ - No order fragmentation ✅ - Intelligent automation with learning ✅ Files: automation, consolidation APIs, learning integration, tests, documentation
1075 lines
42 KiB
JavaScript
1075 lines
42 KiB
JavaScript
// Simple automation service for basic start/stop functionality
|
||
|
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import { SimplifiedStopLossLearner } from './simplified-stop-loss-learner-fixed.js';
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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 default leverage');
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||
return null;
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||
}
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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.lastDCATime = 0; // Track last DCA execution time
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this.dcaCooldownHours = 2; // Minimum 2 hours between DCA trades
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// Initialize AI Learning System
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this.learner = new SimplifiedStopLossLearner();
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console.log('🧠 AI Learning System initialized');
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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 dynamic monitoring cycle with risk-based intervals
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this.currentInterval = 10 * 60 * 1000; // Start with 10 minutes
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this.startDynamicMonitoring();
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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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clearTimeout(this.intervalId); // Changed from clearInterval to clearTimeout
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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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// Dynamic monitoring with risk-based intervals
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startDynamicMonitoring() {
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const runMonitoringCycle = async () => {
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if (!this.isRunning) return;
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await this.runCycle();
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// Get current risk level from position monitor
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const nextInterval = await this.getNextInterval();
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// Schedule next cycle with dynamic interval
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this.intervalId = setTimeout(runMonitoringCycle, nextInterval);
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};
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// Start the dynamic cycle
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this.intervalId = setTimeout(runMonitoringCycle, this.currentInterval);
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}
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// Determine next interval based on risk level
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async getNextInterval() {
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try {
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// Check position monitor for current risk level
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const response = await fetch(`${baseUrl}/api/automation/position-monitor`); if (response.ok) {
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const data = await response.json();
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const riskLevel = data.monitor?.riskLevel || 'NONE';
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// Get timeframe-based intervals (scalping needs faster analysis)
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const baseInterval = this.getTimeframeBasedIntervals();
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// Risk-based multipliers for fine-tuning
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let riskMultiplier;
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switch (riskLevel) {
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case 'CRITICAL':
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riskMultiplier = 0.5; // 50% faster when critical (5min→2.5min for scalping)
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break;
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case 'HIGH':
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riskMultiplier = 0.7; // 30% faster when high risk (10min→7min for scalping)
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break;
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case 'MEDIUM':
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riskMultiplier = 1.0; // Normal speed
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break;
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case 'LOW':
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riskMultiplier = 1.5; // 50% slower when low risk
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break;
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case 'NONE':
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default:
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riskMultiplier = 1.0; // Normal speed when no position
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}
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const finalInterval = Math.round(baseInterval * riskMultiplier);
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const finalMinutes = finalInterval / (60 * 1000);
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console.log(`📊 Risk: ${riskLevel} | Strategy: ${this.detectStrategy()} | Interval: ${finalMinutes} min`);
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console.log(`⚡ Optimized for ${this.getSelectedTimeframes().join(',') || 'default'} timeframes`);
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const intervalMs = finalInterval;
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console.log(`📊 DYNAMIC INTERVAL: Risk level ${riskLevel} → Next analysis in ${intervalMinutes} minutes`);
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this.currentInterval = intervalMs;
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return intervalMs;
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}
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} catch (error) {
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console.warn('⚠️ Failed to get risk level for dynamic interval, using default 10 minutes:', error.message);
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}
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// Fallback to 10 minutes
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this.currentInterval = 10 * 60 * 1000;
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return this.currentInterval;
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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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clearTimeout(this.intervalId); // Changed from clearInterval to clearTimeout
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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 correct internal port for server-side API calls
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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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({
|
||
symbol: this.config.symbol,
|
||
timeframes: this.config.selectedTimeframes, // All timeframes at once!
|
||
layouts: ['ai', 'diy'],
|
||
analyze: true
|
||
})
|
||
});
|
||
|
||
if (!response.ok) {
|
||
console.warn(`⚠️ BATCH API ERROR: ${response.status}, falling back to sequential...`);
|
||
return this.performSequentialAnalysis();
|
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}
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||
const result = await response.json();
|
||
|
||
if (result.success && result.analysis) {
|
||
// Reset consecutive error counter on success
|
||
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}%`);
|
||
console.log(`⏰ Timeframes analyzed: ${result.timeframes.join(', ')}`);
|
||
|
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// Check if we should execute a trade based on combined analysis
|
||
if (this.shouldExecuteTrade(result.analysis)) {
|
||
console.log('💰 TRADE SIGNAL: Executing trade...');
|
||
await this.executeTrade(result.analysis);
|
||
} else {
|
||
console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
|
||
}
|
||
|
||
return;
|
||
} else {
|
||
console.warn('⚠️ BATCH ANALYSIS: No valid data, falling back to sequential...');
|
||
return this.performSequentialAnalysis();
|
||
}
|
||
} catch (error) {
|
||
// Track network errors
|
||
this.stats.networkErrors++;
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this.stats.consecutiveErrors++;
|
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|
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console.error(`❌ PARALLEL ANALYSIS FAILED (Network Error #${this.stats.networkErrors}):`, error.message);
|
||
|
||
// If too many consecutive errors, slow down
|
||
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.`);
|
||
}
|
||
|
||
console.log(`🔄 FALLBACK: Using sequential analysis...`);
|
||
return this.performSequentialAnalysis();
|
||
}
|
||
}
|
||
|
||
// Fallback sequential analysis method
|
||
async performSequentialAnalysis() {
|
||
try {
|
||
console.log('📸 SEQUENTIAL ANALYSIS: Starting...');
|
||
|
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const allResults = [];
|
||
|
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// Analyze each timeframe separately
|
||
for (const timeframe of this.config.selectedTimeframes) {
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console.log(`📊 ANALYZING: ${timeframe} timeframe...`);
|
||
|
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// Use the enhanced screenshot API for each timeframe
|
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
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const response = await fetch(`${baseUrl}/api/enhanced-screenshot`, {
|
||
method: 'POST',
|
||
headers: { 'Content-Type': 'application/json' },
|
||
body: JSON.stringify({
|
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symbol: this.config.symbol,
|
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timeframe: timeframe, // Send one timeframe at a time
|
||
layouts: ['ai', 'diy'],
|
||
analyze: true
|
||
})
|
||
});
|
||
|
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if (!response.ok) {
|
||
console.log(`⚠️ TIMEFRAME ${timeframe}: API error ${response.status}`);
|
||
continue;
|
||
}
|
||
|
||
const result = await response.json();
|
||
|
||
if (result.analysis) {
|
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console.log(`✅ TIMEFRAME ${timeframe}: ${result.analysis.recommendation} (${result.analysis.confidence}%)`);
|
||
allResults.push({
|
||
timeframe: timeframe,
|
||
analysis: result.analysis,
|
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screenshots: result.screenshots
|
||
});
|
||
} else {
|
||
console.log(`⚠️ TIMEFRAME ${timeframe}: No analysis data`);
|
||
}
|
||
}
|
||
|
||
if (allResults.length > 0) {
|
||
console.log('✅ MULTI-TIMEFRAME ANALYSIS COMPLETE:');
|
||
|
||
// Combine results for overall decision
|
||
const combinedAnalysis = this.combineTimeframeAnalysis(allResults);
|
||
|
||
console.log('📊 COMBINED Recommendation: ' + combinedAnalysis.recommendation);
|
||
console.log('🎯 COMBINED Confidence: ' + combinedAnalysis.confidence + '%');
|
||
console.log('⏰ Timeframes analyzed: ' + allResults.map(r => r.timeframe).join(', '));
|
||
|
||
// Check if we should execute a trade based on combined analysis
|
||
if (this.shouldExecuteTrade(combinedAnalysis)) {
|
||
console.log('💰 TRADE SIGNAL: Executing trade...');
|
||
await this.executeTrade(combinedAnalysis);
|
||
} else {
|
||
console.log('📈 SIGNAL: Combined analysis complete, no trade executed');
|
||
}
|
||
} else {
|
||
console.log('⚠️ ANALYSIS: No valid analysis data from any timeframe');
|
||
}
|
||
|
||
} catch (error) {
|
||
console.error('❌ ANALYSIS ERROR:', error.message);
|
||
}
|
||
}
|
||
|
||
combineTimeframeAnalysis(results) {
|
||
if (results.length === 1) {
|
||
return results[0].analysis;
|
||
}
|
||
|
||
// Simple combination logic - can be enhanced
|
||
const recommendations = results.map(r => r.analysis.recommendation?.toLowerCase() || 'hold');
|
||
const confidences = results.map(r => r.analysis.confidence || 0);
|
||
|
||
// Count votes for each recommendation
|
||
const votes = {};
|
||
recommendations.forEach(rec => {
|
||
votes[rec] = (votes[rec] || 0) + 1;
|
||
});
|
||
|
||
// Get majority recommendation
|
||
const majorityRec = Object.keys(votes).reduce((a, b) => votes[a] > votes[b] ? a : b);
|
||
|
||
// Average confidence, but boost if multiple timeframes agree
|
||
const avgConfidence = confidences.reduce((sum, conf) => sum + conf, 0) / confidences.length;
|
||
const agreementBonus = votes[majorityRec] > 1 ? 10 : 0; // +10% if multiple agree
|
||
const finalConfidence = Math.min(95, avgConfidence + agreementBonus);
|
||
|
||
console.log(`🔄 CONSENSUS: ${majorityRec.toUpperCase()} from ${votes[majorityRec]}/${results.length} timeframes`);
|
||
|
||
return {
|
||
recommendation: majorityRec,
|
||
confidence: Math.round(finalConfidence),
|
||
reasoning: `Multi-timeframe consensus from ${results.length} timeframes (${results.map(r => r.timeframe).join(', ')})`,
|
||
timeframeResults: results
|
||
};
|
||
}
|
||
|
||
shouldExecuteTrade(analysis) {
|
||
// Always allow trade execution - the useRealDEX flag determines if it's real or simulated
|
||
console.log(`<EFBFBD> TRADE MODE: ${this.config.mode || 'SIMULATION'} - Trading ${this.config.enableTrading ? 'ENABLED' : 'DISABLED'}`);
|
||
|
||
const recommendation = analysis.recommendation?.toLowerCase() || '';
|
||
const confidence = analysis.confidence || 0;
|
||
|
||
// Strategy-specific confidence requirements
|
||
let minConfidence = 75;
|
||
if (this.config.selectedTimeframes?.includes('5') || this.config.selectedTimeframes?.includes('15')) {
|
||
minConfidence = 80; // Higher confidence for scalping
|
||
}
|
||
|
||
const isHighConfidence = confidence >= minConfidence;
|
||
const isClearDirection = recommendation.includes('buy') || recommendation.includes('sell');
|
||
|
||
console.log('🎯 TRADE DECISION: ' + recommendation + ' (' + confidence + '%) - Min: ' + minConfidence + '%');
|
||
|
||
// 🧠 RECORD AI DECISION FOR LEARNING
|
||
this.recordAIDecisionForLearning(analysis, {
|
||
recommendation,
|
||
confidence,
|
||
minConfidenceRequired: minConfidence,
|
||
willExecute: isHighConfidence && isClearDirection
|
||
});
|
||
|
||
// Store decision data for UI display
|
||
this.lastDecision = {
|
||
timestamp: new Date().toISOString(),
|
||
recommendation: analysis.recommendation || 'HOLD',
|
||
confidence: confidence,
|
||
minConfidenceRequired: minConfidence,
|
||
reasoning: analysis.reasoning || analysis.summary || 'No detailed reasoning available',
|
||
executed: false, // Will be updated if trade is executed
|
||
executionDetails: null,
|
||
executionError: null,
|
||
learningRecorded: true // Indicate learning system recorded this
|
||
};
|
||
|
||
return isHighConfidence && isClearDirection;
|
||
}
|
||
|
||
async executeTrade(analysis) {
|
||
try {
|
||
console.log('💰 EXECUTING TRADE...');
|
||
console.log('📊 Analysis data:', JSON.stringify(analysis, null, 2));
|
||
|
||
// Check if we already have a position to prevent fragmentation
|
||
const apiBaseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
||
const existingPositions = await fetch(`${apiBaseUrl}/api/drift/positions`);
|
||
const positionsData = await existingPositions.json();
|
||
|
||
if (positionsData.success && positionsData.positions.length > 0) {
|
||
console.log('🔍 EXISTING POSITION DETECTED - Checking DCA scaling opportunity...');
|
||
|
||
// Check DCA cooldown period to prevent over-execution
|
||
const currentTime = Date.now();
|
||
const timeSinceLastDCA = (currentTime - this.lastDCATime) / (1000 * 60 * 60); // Hours
|
||
|
||
if (timeSinceLastDCA < this.dcaCooldownHours) {
|
||
const remainingCooldown = (this.dcaCooldownHours - timeSinceLastDCA).toFixed(1);
|
||
console.log(`⏰ DCA COOLDOWN ACTIVE - ${remainingCooldown} hours remaining`);
|
||
console.log('🛡️ Preventing DCA over-execution that caused 24+ orders');
|
||
return {
|
||
success: false,
|
||
error: `DCA cooldown active - ${remainingCooldown} hours remaining`,
|
||
existingPosition: positionsData.positions[0],
|
||
cooldownRemaining: remainingCooldown
|
||
};
|
||
}
|
||
|
||
const currentPosition = positionsData.positions[0];
|
||
console.log('📊 Current position:', currentPosition);
|
||
console.log('✅ DCA cooldown passed - executing POSITION SCALING DCA...');
|
||
|
||
// Check if analysis direction matches existing position
|
||
const analysisDirection = side.toLowerCase();
|
||
const positionDirection = currentPosition.side.toLowerCase();
|
||
|
||
if (analysisDirection === 'buy' && positionDirection === 'long') {
|
||
console.log('🎯 SCALING LONG POSITION - Adding to existing long position');
|
||
return await this.executePositionScaling(analysis, this.config.tradingAmount || 49);
|
||
} else if (analysisDirection === 'sell' && positionDirection === 'short') {
|
||
console.log('🎯 SCALING SHORT POSITION - Adding to existing short position');
|
||
return await this.executePositionScaling(analysis, this.config.tradingAmount || 49);
|
||
} else {
|
||
console.log('🔄 DIRECTION MISMATCH - Analysis suggests opposite direction');
|
||
console.log(` Position: ${positionDirection.toUpperCase()} | Analysis: ${analysisDirection.toUpperCase()}`);
|
||
return {
|
||
success: false,
|
||
error: `Direction mismatch: Position is ${positionDirection}, analysis suggests ${analysisDirection}`,
|
||
existingPosition: currentPosition,
|
||
suggestedAction: 'Consider position consolidation or exit strategy'
|
||
};
|
||
}
|
||
}
|
||
|
||
// 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: ${takeProfit}`);
|
||
|
||
// Calculate optimal leverage using AI Leverage Calculator
|
||
let optimalLeverage = 1; // Default fallback
|
||
let leverageResult = null; // Store leverage calculation result for UI display
|
||
console.log('🔧 DEBUG: Starting leverage calculation...');
|
||
try {
|
||
const AILeverageCalculator = await importAILeverageCalculator();
|
||
console.log('🔧 DEBUG: AI Leverage Calculator imported:', !!AILeverageCalculator);
|
||
if (AILeverageCalculator && stopLoss) {
|
||
console.log('🔧 DEBUG: Both calculator and stopLoss available, proceeding...');
|
||
// Get current price from analysis
|
||
const currentPrice = analysis.entry?.price || analysis.currentPrice || 178; // fallback price
|
||
|
||
// Get real account data from Drift API
|
||
let accountValue = 49; // fallback
|
||
let availableBalance = 49; // fallback
|
||
|
||
try {
|
||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
||
console.log('🔧 DEBUG: Fetching balance from:', baseUrl);
|
||
const balanceResponse = await fetch(`${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 leverageCalcResult = 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
|
||
});
|
||
|
||
// Store the result for UI display
|
||
leverageResult = leverageCalcResult;
|
||
optimalLeverage = leverageCalcResult.recommendedLeverage;
|
||
|
||
optimalLeverage = leverageCalcResult.recommendedLeverage;
|
||
console.log(`🎯 AI Calculated Leverage: ${optimalLeverage.toFixed(1)}x (Risk: ${leverageCalcResult.riskAssessment})`);
|
||
console.log(`📊 Leverage Details: ${leverageCalcResult.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: ${optimalLeverage}x`);
|
||
|
||
// Use the trading API with proper fields for Drift
|
||
const tradePayload = {
|
||
symbol: this.config.symbol,
|
||
side: side,
|
||
amount: this.config.tradingAmount || 49, // Use available balance
|
||
leverage: optimalLeverage, // Use AI-calculated optimal leverage
|
||
stopLoss: stopLoss,
|
||
takeProfit: takeProfit,
|
||
useRealDEX: true, // Enable LIVE trading always
|
||
analysis: analysis // Include analysis for reference
|
||
};
|
||
|
||
console.log('📊 TRADE PAYLOAD:', tradePayload);
|
||
|
||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
||
const response = await fetch(`${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;
|
||
|
||
// Update DCA timestamp to prevent over-execution
|
||
this.lastDCATime = Date.now();
|
||
console.log(`⏰ DCA cooldown activated - Next DCA possible in ${this.dcaCooldownHours} hours`);
|
||
|
||
// 🧠 TRACK SUCCESSFUL TRADE OUTCOME FOR LEARNING
|
||
await this.trackTradeOutcomeForLearning(result);
|
||
|
||
// Update last decision with execution details
|
||
if (this.lastDecision) {
|
||
this.lastDecision.executed = true;
|
||
this.lastDecision.executionDetails = {
|
||
side: side,
|
||
amount: tradePayload.amount,
|
||
leverage: optimalLeverage,
|
||
currentPrice: analysis.entry?.price || analysis.currentPrice,
|
||
stopLoss: stopLoss,
|
||
takeProfit: takeProfit,
|
||
aiReasoning: leverageResult ? leverageResult.reasoning : 'AI leverage calculation not available',
|
||
txId: result.transactionId || result.signature,
|
||
aiStopLossPercent: analysis.stopLossPercent || 'Not specified'
|
||
};
|
||
}
|
||
} else {
|
||
console.log('❌ TRADE FAILED: ' + result.error);
|
||
|
||
// 🧠 TRACK FAILED TRADE OUTCOME FOR LEARNING
|
||
await this.trackTradeOutcomeForLearning(result);
|
||
|
||
// Update last decision with execution error
|
||
if (this.lastDecision) {
|
||
this.lastDecision.executed = false;
|
||
this.lastDecision.executionError = result.error || 'Unknown execution error';
|
||
}
|
||
}
|
||
|
||
return result;
|
||
} catch (error) {
|
||
console.error('❌ TRADE ERROR:', error.message);
|
||
return { success: false, error: error.message };
|
||
}
|
||
}
|
||
|
||
// Position Scaling DCA - Increase existing position size with adjusted SL/TP
|
||
async executePositionScaling(analysis, dcaAmount) {
|
||
try {
|
||
console.log('🎯 EXECUTING POSITION SCALING DCA...');
|
||
console.log(`💰 Adding $${dcaAmount} to existing position with AI-calculated levels`);
|
||
|
||
// Use the position scaling API
|
||
const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
|
||
const response = await fetch(`${baseUrl}/api/drift/scale-position`, {
|
||
method: 'POST',
|
||
headers: { 'Content-Type': 'application/json' },
|
||
body: JSON.stringify({
|
||
dcaAmount: dcaAmount,
|
||
analysis: analysis // Pass AI analysis for optimal SL/TP levels
|
||
})
|
||
});
|
||
|
||
const result = await response.json();
|
||
|
||
if (result.success) {
|
||
console.log('✅ POSITION SCALING SUCCESSFUL');
|
||
console.log(`📊 Old: ${result.scalingResult.originalSize.toFixed(4)} @ $${result.scalingResult.originalEntryPrice.toFixed(4)}`);
|
||
console.log(`📈 New: ${result.scalingResult.newTotalSize.toFixed(4)} @ $${result.scalingResult.newAveragePrice.toFixed(4)}`);
|
||
console.log(`🛡️ Stop Loss: $${result.scalingResult.newStopLoss.toFixed(4)}`);
|
||
console.log(`🎯 Take Profit: $${result.scalingResult.newTakeProfit.toFixed(4)}`);
|
||
|
||
// 🧠 TRACK SUCCESSFUL POSITION SCALING FOR LEARNING
|
||
await this.trackTradeOutcomeForLearning(result);
|
||
|
||
// Update stats and DCA timestamp
|
||
this.stats.totalTrades = (this.stats.totalTrades || 0) + 1;
|
||
this.stats.successfulTrades = (this.stats.successfulTrades || 0) + 1;
|
||
this.lastDCATime = Date.now();
|
||
|
||
console.log(`⏰ DCA cooldown activated - Next DCA possible in ${this.dcaCooldownHours} hours`);
|
||
|
||
// Update last decision with scaling details
|
||
if (this.lastDecision) {
|
||
this.lastDecision.executed = true;
|
||
this.lastDecision.executionDetails = {
|
||
type: 'POSITION_SCALING',
|
||
dcaAmount: dcaAmount,
|
||
originalSize: result.scalingResult.originalSize,
|
||
newTotalSize: result.scalingResult.newTotalSize,
|
||
originalEntryPrice: result.scalingResult.originalEntryPrice,
|
||
newAveragePrice: result.scalingResult.newAveragePrice,
|
||
newStopLoss: result.scalingResult.newStopLoss,
|
||
newTakeProfit: result.scalingResult.newTakeProfit,
|
||
usedAILevels: result.scalingResult.usedAILevels,
|
||
txIds: {
|
||
dcaTx: result.scalingResult.dcaTxId,
|
||
stopLossTx: result.scalingResult.stopLossTxId,
|
||
takeProfitTx: result.scalingResult.takeProfitTxId
|
||
}
|
||
};
|
||
}
|
||
} else {
|
||
console.log('❌ POSITION SCALING FAILED:', result.error);
|
||
|
||
// Update last decision with error
|
||
if (this.lastDecision) {
|
||
this.lastDecision.executed = false;
|
||
this.lastDecision.executionError = result.error || 'Position scaling failed';
|
||
}
|
||
}
|
||
|
||
return result;
|
||
} catch (error) {
|
||
console.error('❌ POSITION SCALING ERROR:', error.message);
|
||
return { success: false, error: error.message };
|
||
}
|
||
}
|
||
|
||
async getStatus() {
|
||
const baseStatus = {
|
||
isRunning: this.isRunning, // Changed from isActive to isRunning
|
||
isActive: this.isRunning, // Keep both for compatibility
|
||
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',
|
||
lastDecision: this.lastDecision, // Include last AI decision for UI display
|
||
config: this.config, // Include config for debugging
|
||
...this.stats
|
||
};
|
||
|
||
// Add AI Learning Status
|
||
try {
|
||
const learningInsights = await this.getAILearningInsights();
|
||
baseStatus.aiLearning = {
|
||
available: learningInsights.available,
|
||
systemConfidence: learningInsights.report?.summary?.systemConfidence || 0,
|
||
totalDecisions: learningInsights.report?.summary?.totalDecisions || 0,
|
||
successRate: learningInsights.report?.summary?.successRate || 0,
|
||
phase: this.getAILearningPhase(learningInsights.report?.summary?.totalDecisions || 0)
|
||
};
|
||
} catch (error) {
|
||
baseStatus.aiLearning = {
|
||
available: false,
|
||
error: error.message
|
||
};
|
||
}
|
||
|
||
// 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;
|
||
}
|
||
|
||
// Helper method to determine AI learning phase
|
||
getAILearningPhase(totalDecisions) {
|
||
if (totalDecisions < 5) return 'INITIAL';
|
||
if (totalDecisions < 20) return 'LEARNING';
|
||
if (totalDecisions < 50) return 'DEVELOPING';
|
||
return 'EXPERT';
|
||
}
|
||
|
||
// Get intervals based on trading timeframes (scalping needs faster analysis)
|
||
getTimeframeBasedIntervals() {
|
||
const timeframes = this.getSelectedTimeframes();
|
||
|
||
// Detect if this is scalping (5m, 15m, 30m)
|
||
const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
|
||
const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
|
||
const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
|
||
|
||
if (isScalping) {
|
||
console.log('🎯 SCALPING DETECTED: Using faster 10-minute intervals (was 30-90)');
|
||
return 10 * 60 * 1000; // 10 minutes for scalping - fast enough for 5m charts
|
||
} else if (isDayTrading) {
|
||
console.log('⚡ DAY TRADING DETECTED: Using 20-minute intervals');
|
||
return 20 * 60 * 1000; // 20 minutes for day trading
|
||
} else if (isSwingTrading) {
|
||
console.log('📈 SWING TRADING DETECTED: Using 45-minute intervals');
|
||
return 45 * 60 * 1000; // 45 minutes for swing trading
|
||
} else {
|
||
// Unknown/mixed strategy - use moderate interval
|
||
console.log('📊 MIXED STRATEGY: Using 30-minute intervals');
|
||
return 30 * 60 * 1000; // 30 minutes default
|
||
}
|
||
}
|
||
|
||
// Get selected timeframes from config
|
||
getSelectedTimeframes() {
|
||
return this.config?.timeframes || this.config?.selectedTimeframes || ['1h'];
|
||
}
|
||
|
||
// Detect trading strategy from timeframes
|
||
detectStrategy() {
|
||
const timeframes = this.getSelectedTimeframes();
|
||
const isScalping = timeframes.some(tf => ['5', '5m', '15', '15m', '30', '30m'].includes(tf));
|
||
const isDayTrading = timeframes.some(tf => ['60', '1h', '120', '2h'].includes(tf));
|
||
const isSwingTrading = timeframes.some(tf => ['240', '4h', '1D', '1d'].includes(tf));
|
||
|
||
if (isScalping) return 'Scalping';
|
||
if (isDayTrading) return 'Day Trading';
|
||
if (isSwingTrading) return 'Swing Trading';
|
||
return 'Mixed';
|
||
}
|
||
|
||
// 🧠 AI LEARNING INTEGRATION METHODS
|
||
|
||
/**
|
||
* Record AI decision for learning system
|
||
*/
|
||
async recordAIDecisionForLearning(analysis, decisionContext) {
|
||
try {
|
||
if (!this.learner || typeof this.learner.recordDecision !== 'function') {
|
||
console.log('⚠️ Learning system not available - skipping decision recording');
|
||
return null;
|
||
}
|
||
|
||
const decisionData = {
|
||
tradeId: `trade_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
|
||
symbol: this.config?.symbol || 'SOLUSD',
|
||
decision: decisionContext.willExecute ? 'EXECUTE_TRADE' : 'HOLD_POSITION',
|
||
confidence: decisionContext.confidence,
|
||
recommendation: decisionContext.recommendation,
|
||
reasoning: analysis.reasoning || analysis.summary || 'AI analysis recommendation',
|
||
marketConditions: {
|
||
timeframes: this.config?.selectedTimeframes || ['1h'],
|
||
strategy: this.detectStrategy(),
|
||
minConfidenceRequired: decisionContext.minConfidenceRequired
|
||
},
|
||
expectedOutcome: decisionContext.willExecute ? 'PROFITABLE_TRADE' : 'WAIT_BETTER_OPPORTUNITY',
|
||
aiLevels: {
|
||
stopLoss: analysis.stopLoss?.price || analysis.stopLoss,
|
||
takeProfit: analysis.takeProfits?.tp1?.price || analysis.takeProfit,
|
||
entry: analysis.entry?.price || analysis.currentPrice
|
||
}
|
||
};
|
||
|
||
const decisionId = await this.learner.recordDecision(decisionData);
|
||
console.log(`🧠 AI Decision recorded for learning: ${decisionData.decision} (ID: ${decisionId})`);
|
||
|
||
// Store decision ID for later outcome tracking
|
||
if (this.lastDecision) {
|
||
this.lastDecision.learningDecisionId = decisionId;
|
||
}
|
||
|
||
return decisionId;
|
||
} catch (error) {
|
||
console.error('❌ Error recording AI decision for learning:', error.message);
|
||
return null;
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Track trade outcome for learning system
|
||
*/
|
||
async trackTradeOutcomeForLearning(executionResult, decisionId = null) {
|
||
try {
|
||
if (!this.learner || typeof this.learner.assessDecisionOutcome !== 'function') {
|
||
console.log('⚠️ Learning system not available - skipping outcome tracking');
|
||
return;
|
||
}
|
||
|
||
const targetDecisionId = decisionId || this.lastDecision?.learningDecisionId;
|
||
if (!targetDecisionId) {
|
||
console.log('⚠️ No decision ID available for outcome tracking');
|
||
return;
|
||
}
|
||
|
||
const outcomeData = {
|
||
decisionId: targetDecisionId,
|
||
actualOutcome: executionResult.success ? 'TRADE_EXECUTED' : 'TRADE_FAILED',
|
||
timeToOutcome: Date.now() - new Date(this.lastDecision?.timestamp || Date.now()).getTime(),
|
||
pnlImpact: executionResult.success ? 0 : -10, // Will be updated later with actual P&L
|
||
executionDetails: executionResult,
|
||
marketConditions: {
|
||
timestamp: new Date().toISOString(),
|
||
symbol: this.config?.symbol || 'SOLUSD'
|
||
}
|
||
};
|
||
|
||
const success = await this.learner.assessDecisionOutcome(outcomeData);
|
||
if (success) {
|
||
console.log(`🧠 Trade outcome recorded for learning: ${outcomeData.actualOutcome}`);
|
||
}
|
||
} catch (error) {
|
||
console.error('❌ Error tracking trade outcome for learning:', error.message);
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Get AI learning insights and recommendations
|
||
*/
|
||
async getAILearningInsights() {
|
||
try {
|
||
if (!this.learner) {
|
||
return {
|
||
available: false,
|
||
message: 'Learning system not initialized'
|
||
};
|
||
}
|
||
|
||
// Check if learning methods are available
|
||
if (typeof this.learner.generateLearningReport === 'function') {
|
||
const report = await this.learner.generateLearningReport();
|
||
return {
|
||
available: true,
|
||
report: report,
|
||
type: 'FULL_REPORT'
|
||
};
|
||
} else if (typeof this.learner.getLearningStatus === 'function') {
|
||
const status = await this.learner.getLearningStatus();
|
||
return {
|
||
available: true,
|
||
report: status,
|
||
type: 'BASIC_STATUS'
|
||
};
|
||
} else {
|
||
return {
|
||
available: false,
|
||
message: 'Learning methods not available'
|
||
};
|
||
}
|
||
} catch (error) {
|
||
console.error('❌ Error getting AI learning insights:', error.message);
|
||
return {
|
||
available: false,
|
||
error: error.message
|
||
};
|
||
}
|
||
}
|
||
|
||
/**
|
||
* Use AI learning to improve trade decisions
|
||
*/
|
||
async getAILearningRecommendation(analysis) {
|
||
try {
|
||
if (!this.learner || typeof this.learner.getSmartRecommendation !== 'function') {
|
||
console.log('🧠 Smart recommendations not available - using standard analysis');
|
||
return null;
|
||
}
|
||
|
||
const requestData = {
|
||
symbol: this.config?.symbol || 'SOLUSD',
|
||
confidence: analysis.confidence || 0,
|
||
recommendation: analysis.recommendation,
|
||
marketConditions: {
|
||
timeframes: this.config?.selectedTimeframes || ['1h'],
|
||
strategy: this.detectStrategy()
|
||
},
|
||
aiLevels: {
|
||
stopLoss: analysis.stopLoss?.price || analysis.stopLoss,
|
||
takeProfit: analysis.takeProfits?.tp1?.price || analysis.takeProfit
|
||
}
|
||
};
|
||
|
||
const learningRec = await this.learner.getSmartRecommendation(requestData);
|
||
if (learningRec && learningRec.confidence > 0.6) {
|
||
console.log(`🧠 AI Learning Recommendation: ${learningRec.action} (${(learningRec.confidence * 100).toFixed(1)}% confidence)`);
|
||
console.log(`📚 Learning Reasoning: ${learningRec.reasoning}`);
|
||
return learningRec;
|
||
}
|
||
|
||
return null;
|
||
} catch (error) {
|
||
console.error('❌ Error getting AI learning recommendation:', error.message);
|
||
return null;
|
||
}
|
||
}
|
||
}
|
||
|
||
// Export singleton instance
|
||
const simpleAutomation = new SimpleAutomation();
|
||
export { simpleAutomation };
|