feat: Continuous optimization cluster for 2 EPYC servers

- Master controller with job queue and result aggregation
- Worker scripts for parallel backtesting (22 workers per server)
- SQLite database for strategy ranking and performance tracking
- File-based job queue (simple, robust, survives crashes)
- Auto-setup script for both EPYC servers
- Status dashboard for monitoring progress
- Comprehensive deployment guide

Architecture:
- Master: Job generation, worker coordination, result collection
- Worker 1 (pve-nu-monitor01): AMD EPYC 7282, 22 parallel jobs
- Worker 2 (srv-bd-host01): AMD EPYC 7302, 22 parallel jobs
- Total capacity: ~49,000 backtests/day (44 cores @ 70%)

Initial focus: v9 parameter refinement (27 configurations)
Target: Find strategies >00/1k P&L (current baseline 92/1k)

Files:
- cluster/master.py: Main controller (570 lines)
- cluster/worker.py: Worker execution script (220 lines)
- cluster/setup_cluster.sh: Automated deployment
- cluster/status.py: Real-time status dashboard
- cluster/README.md: Operational documentation
- cluster/DEPLOYMENT.md: Step-by-step deployment guide

cluster/setup_cluster.sh

@@ -0,0 +1,99 @@
+#!/bin/bash
+# Setup optimization cluster on both EPYC servers
+
+set -e
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+
+echo "🚀 Setting up optimization cluster..."
+
+# Configuration
+WORKER1_HOST="root@10.10.254.106"
+WORKER2_HOP="$WORKER1_HOST"
+WORKER2_HOST="root@10.20.254.100"
+WORKSPACE="/root/optimization-cluster"
+
+# Colors
+GREEN='\033[0;32m'
+BLUE='\033[0;34m'
+NC='\033[0m'
+
+setup_worker() {
+    local HOST=$1
+    local NAME=$2
+    local VIA_HOP=${3:-}
+    
+    echo -e "\n${BLUE}Setting up $NAME ($HOST)...${NC}"
+    
+    # Build SSH command
+    SSH_CMD="ssh $HOST"
+    if [ -n "$VIA_HOP" ]; then
+        SSH_CMD="ssh $VIA_HOP ssh $HOST"
+    fi
+    
+    # Create workspace
+    $SSH_CMD "mkdir -p $WORKSPACE/{jobs,results,data,backtester,logs}"
+    
+    # Install Python dependencies
+    echo "  📦 Installing Python packages..."
+    $SSH_CMD "cd $WORKSPACE && python3 -m venv .venv"
+    $SSH_CMD "cd $WORKSPACE && .venv/bin/pip install pandas numpy"
+    
+    # Copy backtester code
+    echo "  📁 Copying backtester modules..."
+    if [ -n "$VIA_HOP" ]; then
+        # Two-hop transfer: local -> worker1 -> worker2
+        scp -r "$SCRIPT_DIR/../backtester/"* "$VIA_HOP:$WORKSPACE/backtester/" > /dev/null 2>&1
+        $SSH_CMD "rsync -a $WORKSPACE/backtester/ $HOST:$WORKSPACE/backtester/"
+    else
+        scp -r "$SCRIPT_DIR/../backtester/"* "$HOST:$WORKSPACE/backtester/" > /dev/null 2>&1
+    fi
+    
+    # Copy worker script
+    echo "  📄 Installing worker script..."
+    if [ -n "$VIA_HOP" ]; then
+        scp "$SCRIPT_DIR/worker.py" "$VIA_HOP:$WORKSPACE/" > /dev/null 2>&1
+        $SSH_CMD "scp $WORKSPACE/worker.py $HOST:$WORKSPACE/"
+    else
+        scp "$SCRIPT_DIR/worker.py" "$HOST:$WORKSPACE/" > /dev/null 2>&1
+    fi
+    
+    $SSH_CMD "chmod +x $WORKSPACE/worker.py"
+    
+    # Copy data file
+    echo "  📊 Copying OHLCV data..."
+    if [ -f "$SCRIPT_DIR/../backtester/data/solusdt_5m.csv" ]; then
+        if [ -n "$VIA_HOP" ]; then
+            scp "$SCRIPT_DIR/../backtester/data/solusdt_5m.csv" "$VIA_HOP:$WORKSPACE/data/" > /dev/null 2>&1
+            $SSH_CMD "scp $WORKSPACE/data/solusdt_5m.csv $HOST:$WORKSPACE/data/"
+        else
+            scp "$SCRIPT_DIR/../backtester/data/solusdt_5m.csv" "$HOST:$WORKSPACE/data/" > /dev/null 2>&1
+        fi
+    else
+        echo "  ⚠️  Warning: solusdt_5m.csv not found, download manually"
+    fi
+    
+    # Verify setup
+    echo "  ✅ Verifying installation..."
+    $SSH_CMD "cd $WORKSPACE && ls -lah"
+    
+    echo -e "${GREEN}✅ $NAME setup complete${NC}"
+}
+
+# Setup Worker 1 (direct connection)
+setup_worker "$WORKER1_HOST" "Worker 1 (pve-nu-monitor01)"
+
+# Setup Worker 2 (via Worker 1 hop)
+setup_worker "$WORKER2_HOST" "Worker 2 (srv-bd-host01)" "$WORKER1_HOST"
+
+echo -e "\n${GREEN}🎉 Cluster setup complete!${NC}"
+echo ""
+echo "Next steps:"
+echo "  1. Start master controller:"
+echo "     cd $SCRIPT_DIR && python3 master.py"
+echo ""
+echo "  2. Monitor cluster status:"
+echo "     watch -n 5 'ls -1 cluster/queue/*.json 2>/dev/null | wc -l'"
+echo ""
+echo "  3. View results:"
+echo "     sqlite3 cluster/strategies.db 'SELECT * FROM strategies ORDER BY pnl_per_1k DESC LIMIT 10'"