✅ Implement working Drift leverage trading

Key Features:
- ✅ Drift SDK v2.126.0-beta.14 integration with Helius RPC
- ✅ User account initialization and balance reading
- ✅ Leverage trading API with real trades executed
- ✅ Support for SOL, BTC, ETH, APT, AVAX, BNB, MATIC, ARB, DOGE, OP
- ✅ Transaction confirmed: gNmaWVqcE4qNK31ksoUsK6pcHqdDTaUtJXY52ZoXRF

API Endpoints:
- POST /api/drift/trade - Main trading endpoint
- Actions: get_balance, place_order
- Successfully tested with 0.01 SOL buy order at 2x leverage

Technical Fixes:
- Fixed RPC endpoint blocking with Helius API key
- Resolved wallet signing compatibility issues
- Implemented proper BigNumber handling for amounts
- Added comprehensive error handling and logging

Trading Bot Status: 🚀 FULLY OPERATIONAL with leverage trading!

show-learning-proof.js

@@ -0,0 +1,120 @@
+const { PrismaClient } = require('@prisma/client');
+const prisma = new PrismaClient();
+
+async function showDetailedLearningData() {
+  try {
+    console.log('🔍 Detailed AI Learning Data Analysis...\n');
+    
+    const learningData = await prisma.aILearningData.findMany({
+      orderBy: { createdAt: 'desc' },
+      take: 3
+    });
+    
+    console.log(`📊 Analyzing ${learningData.length} most recent learning records:\n`);
+    
+    learningData.forEach((record, i) => {
+      console.log(`\n🧠 LEARNING RECORD #${i + 1}`);
+      console.log('═'.repeat(50));
+      console.log(`📅 Date: ${record.createdAt}`);
+      console.log(`👤 User: ${record.userId}`);
+      console.log(`⏰ Timeframe: ${record.timeframe}`);
+      console.log(`🎯 Recommendation: ${record.recommendation || 'PENDING'}`);
+      console.log(`📊 Confidence: ${record.confidence || 'CALCULATING'}%`);
+      console.log(`🎯 Accuracy Score: ${record.accuracyScore || 'NOT YET MEASURED'}`);
+      
+      if (record.analysisData) {
+        try {
+          const analysis = JSON.parse(record.analysisData);
+          console.log('\n📈 TECHNICAL ANALYSIS:');
+          console.log(`📝 Reasoning: ${analysis.reasoning || 'Multi-timeframe analysis'}`);
+          
+          if (analysis.multiTimeframeResults) {
+            console.log('\n⏱️ MULTI-TIMEFRAME BREAKDOWN:');
+            analysis.multiTimeframeResults.forEach((tf, idx) => {
+              console.log(`  ${idx + 1}. ${tf.timeframe}: ${tf.analysis?.recommendation || 'ANALYZING'} (${tf.analysis?.confidence || 0}% confidence)`);
+            });
+          }
+          
+          if (analysis.confidence) {
+            console.log(`\n🎯 Final Combined Confidence: ${analysis.confidence}%`);
+          }
+          
+          if (analysis.marketSentiment) {
+            console.log(`📊 Market Sentiment: ${analysis.marketSentiment}`);
+          }
+          
+        } catch (e) {
+          console.log('📝 Analysis: [Complex multi-timeframe data - parsing limited]');
+        }
+      }
+      
+      if (record.marketConditions) {
+        try {
+          const conditions = JSON.parse(record.marketConditions);
+          console.log('\n🌍 MARKET CONDITIONS:');
+          console.log(`📊 Symbol: ${conditions.symbol || 'UNKNOWN'}`);
+          console.log(`⏰ Timestamp: ${conditions.timestamp}`);
+          console.log(`🔗 Session: ${conditions.session}`);
+        } catch (e) {
+          console.log('🌍 Market Conditions: [Data available]');
+        }
+      }
+      
+      console.log('\n' + '─'.repeat(50));
+    });
+    
+    // Show learning progression
+    const totalAnalyses = await prisma.aILearningData.count();
+    const accurateAnalyses = await prisma.aILearningData.count({
+      where: {
+        accuracyScore: { gt: 0.6 }
+      }
+    });
+    
+    console.log(`\n📊 LEARNING PROGRESSION SUMMARY:`);
+    console.log('═'.repeat(50));
+    console.log(`📈 Total Analyses: ${totalAnalyses}`);
+    console.log(`✅ Accurate Predictions: ${accurateAnalyses}`);
+    console.log(`🎯 Accuracy Rate: ${totalAnalyses > 0 ? ((accurateAnalyses / totalAnalyses) * 100).toFixed(1) : 0}%`);
+    
+    // Determine learning phase
+    let phase = 'INITIAL';
+    let phaseDescription = 'Learning market basics';
+    
+    if (totalAnalyses >= 100) {
+      phase = 'EXPERT';
+      phaseDescription = 'Advanced pattern recognition and risk management';
+    } else if (totalAnalyses >= 50) {
+      phase = 'ADVANCED';
+      phaseDescription = 'Developing sophisticated trading strategies';
+    } else if (totalAnalyses >= 20) {
+      phase = 'PATTERN_RECOGNITION';
+      phaseDescription = 'Learning to identify market patterns';
+    }
+    
+    console.log(`🧠 Current Learning Phase: ${phase}`);
+    console.log(`📝 Phase Description: ${phaseDescription}`);
+    
+    // Show recent automation activity
+    const recentSessions = await prisma.automationSession.findMany({
+      orderBy: { createdAt: 'desc' },
+      take: 1
+    });
+    
+    if (recentSessions.length > 0) {
+      const session = recentSessions[0];
+      console.log(`\n🤖 CURRENT AUTOMATION STATUS:`);
+      console.log('═'.repeat(50));
+      console.log(`📊 Status: ${session.status}`);
+      console.log(`⚙️ Mode: ${session.mode}`);
+      console.log(`📅 Started: ${session.createdAt}`);
+      console.log(`📈 Trades Count: ${session.tradesCount || 0}`);
+    }
+    
+    await prisma.$disconnect();
+  } catch (error) {
+    console.error('❌ Error:', error);
+  }
+}
+
+showDetailedLearningData();