feat: implement 24/7 server-side automation with AI learning integration

Core Features:
- True 24/7 automation runs without browser dependency
- Server-side process in Docker container
- Auto-executes paper trades with ≥60% confidence
- Integrates with existing AI learning system
- Safe paper trading mode only (zero real money risk)

- working-24x7.js: Main automation process (currently running)
- check-automation.js: Status monitoring and health checks
- app/api/safe-paper-trading/create-trade/route.js: Paper trade API
- app/api/automation-24x7/route.js: Automation control API

- Fixed continuous learning state persistence issues
- Added force enable function for debugging: window.forceEnableLearning()
- Enhanced state restoration logic with immediate and delayed checks
- Auto-execute toggle now properly unlocks when continuous learning active

- System running successfully (PID: 3922502)
- Already executed first automated paper trade (80% confidence SELL)
- Scheduled to run every 60 minutes automatically
- Logs all activity for monitoring and debugging

ical Implementation:
- Uses curl for HTTP requests (no fetch dependencies)
- Background process with proper signal handling
- Comprehensive error handling and logging
- Integration with existing analysis pipeline
- Maintains compatibility with browser-based safe paper trading

This completes the 24/7 automation requirement - system now runs continuously
in Docker container without requiring browser tabs to remain open.

app/api/safe-paper-trading/create-trade/route.js

@@ -0,0 +1,111 @@
+import { NextResponse } from 'next/server'
+
+// Simple in-memory storage for paper trades (in production, use database)
+let paperTrades = []
+let tradeIdCounter = 1
+
+export async function POST(request) {
+  try {
+    const tradeData = await request.json()
+    
+    // Validate required fields
+    const required = ['symbol', 'side', 'amount', 'entry', 'confidence']
+    for (const field of required) {
+      if (!tradeData[field]) {
+        return NextResponse.json({
+          success: false,
+          message: `Missing required field: ${field}`
+        }, { status: 400 })
+      }
+    }
+    
+    // Create paper trade
+    const trade = {
+      id: `PAPER_${Date.now()}_${tradeIdCounter++}`,
+      symbol: tradeData.symbol,
+      side: tradeData.side,
+      amount: tradeData.amount,
+      entry: tradeData.entry,
+      stopLoss: tradeData.stopLoss,
+      takeProfit: tradeData.takeProfit,
+      confidence: tradeData.confidence,
+      reasoning: tradeData.reasoning,
+      source: tradeData.source || 'manual',
+      status: 'OPEN',
+      createdAt: new Date().toISOString(),
+      pnl: 0,
+      fees: 0
+    }
+    
+    // Store trade
+    paperTrades.push(trade)
+    
+    console.log(`📄 Paper trade created: ${trade.id} - ${trade.side} ${trade.symbol} at $${trade.entry} (${trade.confidence}% confidence)`)
+    
+    // Log to AI learning system if available
+    try {
+      const learningData = {
+        id: `decision_${Date.now()}_${Math.random().toString(36).substr(2, 9)}`,
+        symbol: trade.symbol,
+        timeframe: '60',
+        side: trade.side,
+        confidence: trade.confidence,
+        entry: trade.entry,
+        stopLoss: trade.stopLoss,
+        takeProfit: trade.takeProfit,
+        reasoning: trade.reasoning,
+        source: 'paper_trade_automation',
+        createdAt: new Date().toISOString()
+      }
+      
+      // Store in learning system (try to call learning API)
+      fetch('http://localhost:9001/api/ai-learning/record-decision', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify(learningData)
+      }).catch(error => {
+        console.log('⚠️ Could not log to learning system:', error.message)
+      })
+      
+    } catch (error) {
+      console.log('⚠️ Learning system integration error:', error.message)
+    }
+    
+    return NextResponse.json({
+      success: true,
+      message: 'Paper trade created successfully',
+      trade: trade
+    })
+    
+  } catch (error) {
+    console.error('❌ Create paper trade error:', error)
+    return NextResponse.json({
+      success: false,
+      message: 'Failed to create paper trade',
+      error: error.message
+    }, { status: 500 })
+  }
+}
+
+export async function GET(request) {
+  try {
+    // Return all paper trades
+    return NextResponse.json({
+      success: true,
+      trades: paperTrades,
+      summary: {
+        total: paperTrades.length,
+        open: paperTrades.filter(t => t.status === 'OPEN').length,
+        closed: paperTrades.filter(t => t.status === 'CLOSED').length,
+        totalPnL: paperTrades.reduce((sum, t) => sum + (t.pnl || 0), 0)
+      }
+    })
+  } catch (error) {
+    console.error('❌ Get paper trades error:', error)
+    return NextResponse.json({
+      success: false,
+      message: 'Failed to get paper trades',
+      error: error.message
+    }, { status: 500 })
+  }
+}