🤖 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/stable-risk-monitor.js

@@ -6,9 +6,7 @@
  * A lightweight version that monitors positions without complex fetch operations
  */
 
-const { exec } = require('child_process');
-const util = require('util');
-const execAsync = util.promisify(exec);
+const HttpUtil = require('./http-util');
 
 class StableRiskMonitor {
   constructor() {
@@ -23,9 +21,7 @@ class StableRiskMonitor {
 
   async checkPosition() {
     try {
-      // Use curl instead of fetch for better Node.js compatibility
-      const { stdout } = await execAsync('curl -s http://localhost:9001/api/automation/position-monitor');
-      const data = JSON.parse(stdout);
+      const data = await HttpUtil.get('http://localhost:9001/api/automation/position-monitor');
       
       if (data.success && data.monitor) {
         return this.analyzeRisk(data.monitor);