🤖 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.

lib/risk-reward-learner.js

@@ -7,19 +7,22 @@
  * the AI's risk/reward settings and position management decisions.
  */
 
-const { PrismaClient } = require('@prisma/client');
+const { getDB } = require('./db');
 
 class RiskRewardLearner {
   constructor() {
-    this.prisma = new PrismaClient();
-    this.learningHistory = [];
-    this.riskRewardPatterns = {
-      stopLossPatterns: [],
-      takeProfitPatterns: [],
-      optimalRatios: []
+    this.setupHistory = [];
+    this.patterns = {
+      optimal_rr_ratios: {},
+      market_condition_adjustments: {},
+      symbol_specific_patterns: {}
     };
   }
 
+  async getPrisma() {
+    return await getDB();
+  }
+
   async log(message) {
     const timestamp = new Date().toISOString();
     console.log(`[${timestamp}] 🎯 RR Learner: ${message}`);
@@ -63,7 +66,8 @@ class RiskRewardLearner {
       };
 
       // Store in database
-      await this.prisma.riskRewardSetup.create({
+      const prisma = await this.getPrisma();
+      await prisma.riskRewardSetup.create({
         data: {
           id: setup.id,
           tradeId: setup.tradeId,
@@ -106,7 +110,9 @@ class RiskRewardLearner {
       const outcomeAnalysis = this.analyzeOutcomeQuality(outcomeData);
 
       // Update setup record with outcome
-      await this.prisma.riskRewardSetup.update({
+      // Update setup in database
+      const prisma = await this.getPrisma();
+      await prisma.riskRewardSetup.update({
         where: { id: setupId },
         data: {
           exitPrice,
@@ -223,7 +229,8 @@ class RiskRewardLearner {
    */
   async updateRiskRewardLearning() {
     try {
-      const recentSetups = await this.prisma.riskRewardSetup.findMany({
+      const prisma = await this.getPrisma();
+      const recentSetups = await prisma.riskRewardSetup.findMany({
         where: { status: 'COMPLETED' },
         orderBy: { setupTimestamp: 'desc' },
         take: 100