08970acc85
- Fixed Prisma table name errors in price-monitor.ts (trades vs trade, automation_sessions vs automationSession) - Commented out excessive P&L calculation logging in analysis-details API that was processing all 69 trades - Restored CoinGecko as primary price source (was falling back to Binance due to DB errors) - Optimized analysis-details to skip P&L calculations for FAILED/EXECUTED trades - Added comprehensive cleanup system for orphaned orders - Performance improvement: eliminated unnecessary processing of old trade data Result: Clean logs, efficient price fetching from CoinGecko, no excessive calculations
91 lines
3.8 KiB
JavaScript
91 lines
3.8 KiB
JavaScript
// Test the enhanced automation system for scalping re-entry
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const SimpleAutomation = require('./lib/simple-automation.js');
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async function testScalpingReEntry() {
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console.log('🧪 TESTING: Enhanced scalping automation for immediate re-entry');
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try {
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// Create automation instance configured for scalping
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const automation = new SimpleAutomation();
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// Configure for 5-minute scalping (aggressive re-entry)
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const config = {
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symbol: 'SOLUSD',
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selectedTimeframes: ['5m', '15m'], // Scalping timeframes
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enableTrading: true,
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mode: 'LIVE',
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layouts: ['ai', 'diy']
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};
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automation.updateConfig(config);
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console.log('\n📊 CONFIGURATION:');
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console.log('Symbol:', config.symbol);
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console.log('Timeframes:', config.selectedTimeframes.join(', '));
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console.log('Trading Mode:', config.mode);
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// Test interval calculation for no position scenario
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console.log('\n🕐 TESTING INTERVAL CALCULATION:');
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const interval = await automation.getNextInterval();
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const intervalMinutes = interval / (60 * 1000);
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console.log(`⏰ Next analysis interval: ${intervalMinutes} minutes`);
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console.log(`🏃♂️ Scalping mode: ${intervalMinutes <= 5 ? 'ACTIVE' : 'STANDARD'}`);
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// Test position monitoring integration
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console.log('\n📍 TESTING POSITION MONITOR INTEGRATION:');
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const baseUrl = process.env.INTERNAL_API_URL || 'http://localhost:9001';
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const response = await fetch(`${baseUrl}/api/automation/position-monitor`);
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if (response.ok) {
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const data = await response.json();
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const hasPosition = data.monitor?.hasPosition;
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const recommendation = data.monitor?.recommendation;
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const activeOrders = data.monitor?.orphanedOrderCleanup?.summary?.activeOrders || 0;
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console.log(`Position Status: ${hasPosition ? 'ACTIVE' : 'NO POSITION'}`);
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console.log(`Monitor Recommendation: ${recommendation}`);
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console.log(`Active Orders: ${activeOrders}`);
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if (!hasPosition && recommendation === 'START_TRADING') {
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console.log('✅ CONDITION MET: No position + START_TRADING recommendation');
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console.log('🚀 SCALPING ACTION: System should immediately scan for new opportunities');
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console.log(`⚡ Expected interval: 2 minutes (actual: ${intervalMinutes} minutes)`);
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} else if (!hasPosition) {
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console.log('⚠️ NO POSITION: But recommendation is not START_TRADING');
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console.log('🔍 System should still scan more frequently for opportunities');
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} else {
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console.log('📊 POSITION EXISTS: Normal monitoring intervals apply');
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}
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}
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console.log('\n🎯 CONFIDENCE TESTING:');
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// Test confidence thresholds for scalping
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const mockAnalysis = {
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recommendation: 'BUY LONG',
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confidence: 67,
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reasoning: 'Mock analysis for testing confidence thresholds'
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};
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const shouldTrade = automation.shouldExecuteTrade(mockAnalysis);
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console.log(`Mock Analysis: ${mockAnalysis.recommendation} (${mockAnalysis.confidence}%)`);
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console.log(`Should Execute: ${shouldTrade ? 'YES' : 'NO'}`);
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console.log(`Scalping Advantage: Lower confidence threshold when no position exists`);
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console.log('\n✅ ENHANCED AUTOMATION FEATURES:');
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console.log('1. ✅ Immediate position monitor check each cycle');
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console.log('2. ✅ Automatic orphaned order cleanup before new entry');
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console.log('3. ✅ Ultra-fast 2-minute intervals for scalping when no position');
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console.log('4. ✅ Aggressive confidence thresholds (65-70%) for faster re-entry');
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console.log('5. ✅ Real-time position status integration');
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} catch (error) {
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console.error('❌ Test failed:', error.message);
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}
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}
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// Run the test
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testScalpingReEntry();
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