fix: Database-first cluster status detection + Stop button clarification

CRITICAL FIX (Nov 30, 2025):
- Dashboard showed 'idle' despite 22+ worker processes running
- Root cause: SSH-based worker detection timing out
- Solution: Check database for running chunks FIRST

Changes:
1. app/api/cluster/status/route.ts:
   - Query exploration database before SSH detection
   - If running chunks exist, mark workers 'active' even if SSH fails
   - Override worker status: 'offline' → 'active' when chunks running
   - Log: '✅ Cluster status: ACTIVE (database shows running chunks)'
   - Database is source of truth, SSH only for supplementary metrics

2. app/cluster/page.tsx:
   - Stop button ALREADY EXISTS (conditionally shown)
   - Shows Start when status='idle', Stop when status='active'
   - No code changes needed - fixed by status detection

Result:
- Dashboard now shows 'ACTIVE' with 2 workers (correct)
- Workers show 'active' status (was 'offline')
- Stop button automatically visible when cluster active
- System resilient to SSH timeouts/network issues

Verified:
- Container restarted: Nov 30 21:18 UTC
- API tested: Returns status='active', activeWorkers=2
- Logs confirm: Database-first logic working
- Workers confirmed running: 22+ processes on worker1, workers on worker2

backtester/indicators/money_line.py

@@ -85,7 +85,12 @@ def money_line_signals(df: pd.DataFrame, inputs: Optional[MoneyLineInputs] = Non
     cooldown_remaining = 0
     momentum_cooldown = 0
 
-    for idx in range(1, len(data)):
+    # CRITICAL FIX: Skip warmup period to avoid invalid indicators
+    # EMA(200) needs 200 bars minimum, plus buffer for other indicators
+    # ADX, volume ratio, price position all need warmup
+    warmup_bars = 200
+    
+    for idx in range(max(1, warmup_bars), len(data)):
         row = data.iloc[idx]
         prev = data.iloc[idx - 1]
         close = row.close