🤖 COMPLETE: Learning-Enhanced AI with HTTP Compatibility

LEARNING INTEGRATION:
- Enhanced AI analysis service feeds historical data into OpenAI prompts
- Symbol/timeframe specific learning optimization
- Pattern recognition from past trade outcomes
- Confidence adjustment based on success rates

 HTTP COMPATIBILITY SYSTEM:
- HttpUtil with automatic curl/no-curl detection
- Node.js fallback for Docker environments without curl
- Updated all automation systems to use HttpUtil
- Production-ready error handling

 AUTONOMOUS RISK MANAGEMENT:
- Enhanced risk manager with learning integration
- Simplified learners using existing AILearningData schema
- Real-time position monitoring every 30 seconds
- Smart stop-loss decisions with AI learning

 INFRASTRUCTURE:
- Database utility for shared Prisma connections
- Beach mode status display system
- Complete error handling and recovery
- Docker container compatibility tested

Historical performance flows into OpenAI prompts before every trade.

app/api/batch-analysis/route.js

@@ -198,7 +198,9 @@ export async function POST(request) {
         
         try {
           if (allScreenshots.length === 1) {
-            analysis = await aiAnalysisService.analyzeScreenshot(allScreenshots[0])
+            // Use enhanced AI analysis with symbol and primary timeframe for learning
+            const primaryTimeframe = timeframes[0] || '1h';
+            analysis = await aiAnalysisService.analyzeScreenshot(allScreenshots[0], symbol, primaryTimeframe)
           } else {
             analysis = await aiAnalysisService.analyzeMultipleScreenshots(allScreenshots)
           }
@@ -210,9 +212,7 @@ export async function POST(request) {
             // Store analysis for learning
             await storeAnalysisForLearning(symbol, analysis)
           } else {
-            console.log('⏳ AI analysis returned null (possibly rate limited) - continuing without analysis')
-            progressTracker.updateStep(sessionId, 'analysis', 'skipped', 'AI analysis skipped due to rate limits or other issues')
-            analysis = null
+            throw new Error('AI analysis returned null')
           }
           
         } catch (analysisError) {