🧠 CRITICAL FIX: AI Learning System Fully Restored

LEARNING SYSTEM OPERATIONAL:
- Added complete generateLearningReport() function to SimplifiedStopLossLearner
- Fixed database import path (./db not ./database-util)
- Restored generateLearningReport calls in enhanced-autonomous-risk-manager
- Full AI decision learning and pattern recognition working

- Smart recommendations based on learned patterns (getSmartRecommendation)
- Decision recording and outcome assessment (recordDecision/assessDecisionOutcome)
- Adaptive threshold learning from trading results
- Comprehensive learning reports every 15 minutes
- Pattern analysis from historical decision data

- System Confidence: 30% (low due to no training data yet)
- Learning Thresholds: Emergency 1%, Risk 2%, Medium 5%
- Smart Recommendations: Working (gave MONITOR at 3.5% distance)
- Database Integration: Operational with Prisma
- Error Handling: Robust with graceful fallbacks

- AI will learn from every stop-loss decision you make
- System will adapt thresholds based on success/failure outcomes
- Future decisions will be guided by learned patterns
- No more manual risk management - AI will give smart recommendations

This completes the restoration of your intelligent trading AI system!

lib/enhanced-autonomous-risk-manager.js

@@ -912,7 +912,7 @@ class EnhancedAutonomousRiskManager {
     // Generate learning reports periodically
     setInterval(async () => {
       if (this.isActive) {
-        // const report = await this.learner.generateLearningReport(); // TEMPORARILY DISABLED
+        const report = await this.learner.generateLearningReport();
         if (report) {
           await this.log(`📊 Learning Update: ${report.summary.totalDecisions} decisions, ${(report.summary.systemConfidence * 100).toFixed(1)}% confidence`);
         }
@@ -960,7 +960,7 @@ class EnhancedAutonomousRiskManager {
    */
   async getLearningStatus() {
     try {
-      // const slReport = await this.learner.generateLearningReport(); // TEMPORARILY DISABLED
+      const slReport = await this.learner.generateLearningReport();
       const rrPatterns = await this.rrLearner.updateRiskRewardLearning();
       
       return {