- 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
131 lines
5.5 KiB
JavaScript
131 lines
5.5 KiB
JavaScript
#!/usr/bin/env node
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/**
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* AI-Enhanced Position Consolidation Test
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* Shows difference between AI-calculated vs adaptive levels
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*/
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async function testAIConsolidation() {
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console.log('🧹 TESTING AI-ENHANCED POSITION CONSOLIDATION');
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console.log('='.repeat(60));
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try {
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// 1. Get current position
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console.log('1️⃣ Fetching current position...');
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const positionResponse = await fetch('http://localhost:9001/api/drift/positions');
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const positionData = await positionResponse.json();
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if (!positionData.success || !positionData.positions.length) {
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console.log('❌ No active positions found');
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return;
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}
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const position = positionData.positions[0];
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console.log(` 📊 Position: ${position.side.toUpperCase()} ${position.size} ${position.symbol}`);
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console.log(` 💰 Entry: $${position.entryPrice.toFixed(4)}`);
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console.log(` 📈 Current: $${(position.markPrice || position.entryPrice).toFixed(4)}`);
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console.log(` 💸 P&L: $${position.unrealizedPnl.toFixed(2)}`);
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// 2. Get current orders count
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console.log('\n2️⃣ Checking current orders...');
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const ordersResponse = await fetch('http://localhost:9001/api/drift/orders');
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const ordersData = await ordersResponse.json();
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const activeOrders = ordersData.orders.filter(o => o.status === 'OPEN');
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console.log(` 📋 Active orders: ${activeOrders.length}`);
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// 3. Test ADAPTIVE LEVELS (no AI analysis)
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console.log('\n3️⃣ ADAPTIVE LEVELS (No AI Analysis):');
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console.log('-'.repeat(40));
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const adaptiveResult = await fetch('http://localhost:9001/api/drift/consolidate-position', {
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method: 'POST',
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headers: { 'Content-Type': 'application/json' },
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body: JSON.stringify({
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dryRun: true,
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analysis: null
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})
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});
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const adaptiveData = await adaptiveResult.json();
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if (adaptiveData.success) {
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const plan = adaptiveData.plan;
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console.log(` 🛑 Stop Loss: $${plan.stopLoss.toFixed(4)} (${plan.stopLossPercent.toFixed(1)}% risk)`);
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console.log(` 🎯 Take Profit 1: $${plan.takeProfit1.toFixed(4)} (${plan.tp1Percent.toFixed(1)}% gain) - ${plan.tp1Size} SOL`);
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console.log(` 🚀 Take Profit 2: $${plan.takeProfit2.toFixed(4)} (${plan.tp2Percent.toFixed(1)}% gain) - ${plan.tp2Size} SOL`);
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console.log(` ⚖️ Risk/Reward: ${plan.riskReward.toFixed(1)}:1`);
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}
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// 4. Test AI-CALCULATED LEVELS
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console.log('\n4️⃣ AI-CALCULATED LEVELS (Mock AI Analysis):');
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console.log('-'.repeat(40));
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// Mock AI analysis with tighter, more optimal levels
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const mockAIAnalysis = {
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stopLoss: { price: 185.50 }, // AI suggests tighter 1% stop loss
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takeProfits: {
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tp1: { price: 191.25 }, // AI suggests 2.1% first TP
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tp2: { price: 194.80 } // AI suggests 3.9% second TP
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},
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confidence: 85,
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marketConditions: { volatility: 'LOW' }
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};
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const aiResult = await fetch('http://localhost:9001/api/drift/consolidate-position', {
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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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dryRun: true,
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analysis: mockAIAnalysis
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})
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});
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const aiData = await aiResult.json();
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if (aiData.success) {
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const plan = aiData.plan;
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console.log(` 🛑 Stop Loss: $${plan.stopLoss.toFixed(4)} (${plan.stopLossPercent.toFixed(1)}% risk)`);
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console.log(` 🎯 Take Profit 1: $${plan.takeProfit1.toFixed(4)} (${plan.tp1Percent.toFixed(1)}% gain) - ${plan.tp1Size} SOL`);
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console.log(` 🚀 Take Profit 2: $${plan.takeProfit2.toFixed(4)} (${plan.tp2Percent.toFixed(1)}% gain) - ${plan.tp2Size} SOL`);
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console.log(` ⚖️ Risk/Reward: ${plan.riskReward.toFixed(1)}:1`);
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}
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// 5. Comparison and benefits
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console.log('\n5️⃣ CONSOLIDATION BENEFITS:');
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console.log(' 📉 BEFORE: 24+ fragmented orders');
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console.log(' 📈 AFTER: 3 clean orders (adaptive OR AI-optimized)');
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console.log(' ✅ Benefits:');
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console.log(' • AI calculates optimal entry/exit levels');
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console.log(' • Falls back to adaptive levels when AI unavailable');
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console.log(' • Clear risk management structure');
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console.log(' • Lower transaction costs');
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console.log(' • Better profit optimization');
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console.log(' • Easier monitoring');
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console.log('\n💡 EXECUTION OPTIONS:');
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console.log('🧠 WITH AI: Send analysis data for optimal levels');
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console.log('📊 WITHOUT AI: Uses adaptive levels based on position size');
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console.log('🚀 LIVE EXECUTION: Set dryRun: false to execute');
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return {
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success: true,
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currentOrders: activeOrders.length,
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consolidatedOrders: 3,
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aiLevelsAvailable: aiData.success,
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adaptiveLevelsAvailable: adaptiveData.success
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};
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} catch (error) {
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console.error('❌ AI consolidation test failed:', error.message);
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return { success: false, error: error.message };
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}
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}
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// Run the test
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testAIConsolidation().then(result => {
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if (result.success) {
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console.log('\n✅ AI-ENHANCED CONSOLIDATION ANALYSIS COMPLETE');
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console.log(`📊 Reduction: ${result.currentOrders} → ${result.consolidatedOrders} orders`);
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console.log(`🧠 AI Levels: ${result.aiLevelsAvailable ? 'Available' : 'Not available'}`);
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console.log(`📊 Adaptive Levels: ${result.adaptiveLevelsAvailable ? 'Available' : 'Not available'}`);
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}
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}).catch(console.error);
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