# Running Comprehensive Sweep on EPYC Server

## Transfer Package to EPYC

```bash
# From your local machine
scp comprehensive_sweep_package.tar.gz root@72.62.39.24:/root/
```

## Setup on EPYC

```bash
# SSH to EPYC
ssh root@72.62.39.24

# Extract package
cd /root
tar -xzf comprehensive_sweep_package.tar.gz
cd comprehensive_sweep

# Setup Python environment
python3 -m venv .venv
source .venv/bin/activate
pip install pandas numpy

# Create logs directory
mkdir -p backtester/logs

# Make scripts executable
chmod +x run_comprehensive_sweep.sh
chmod +x backtester/scripts/comprehensive_sweep.py
```

## Run the Sweep

```bash
# Start the sweep in background
./run_comprehensive_sweep.sh

# Or manually with more control:
cd /root/comprehensive_sweep
source .venv/bin/activate
nohup python3 backtester/scripts/comprehensive_sweep.py > sweep.log 2>&1 &

# Get the PID
echo $! > sweep.pid
```

## Monitor Progress

```bash
# Watch live progress (updates every 100 configs)
tail -f backtester/logs/sweep_comprehensive_*.log

# Or if using manual method:
tail -f sweep.log

# See current best result
grep 'Best so far' backtester/logs/sweep_comprehensive_*.log | tail -5

# Check if still running
ps aux | grep comprehensive_sweep

# Check CPU usage
htop
```

## Stop if Needed

```bash
# Using PID file:
kill $(cat sweep.pid)

# Or by name:
pkill -f comprehensive_sweep
```

## EPYC Performance Estimate

- **Your EPYC:** 16 cores/32 threads
- **Local Server:** 6 cores
- **Speedup:** ~5-6× faster on EPYC

**Total combinations:** 14,929,920

**Estimated times:**
- Local (6 cores): ~30-40 hours
- EPYC (16 cores): ~6-8 hours 🚀

## Retrieve Results

```bash
# After completion, download results
scp root@72.62.39.24:/root/comprehensive_sweep/sweep_comprehensive.csv .

# Check top results on server first:
head -21 /root/comprehensive_sweep/sweep_comprehensive.csv
```

## Results Format

CSV columns:
- rank
- trades
- win_rate
- total_pnl
- pnl_per_1k (most important - profitability per $1000)
- flip_threshold
- ma_gap
- adx_min
- long_pos_max
- short_pos_min
- cooldown
- position_size
- tp1_mult
- tp2_mult
- sl_mult
- tp1_close_pct
- trailing_mult
- vol_min
- max_bars

## Quick Test

Before running full sweep, test that everything works:

```bash
cd /root/comprehensive_sweep
source .venv/bin/activate

# Quick test with just 10 combinations
python3 -c "
from pathlib import Path
from backtester.data_loader import load_csv
from backtester.simulator import simulate_money_line, TradeConfig
from backtester.indicators.money_line import MoneyLineInputs

data_slice = load_csv(Path('backtester/data/solusdt_5m_aug_nov.csv'), 'SOL-PERP', '5m')
print(f'Loaded {len(data_slice.data)} candles')

inputs = MoneyLineInputs(flip_threshold_percent=0.6)
config = TradeConfig(position_size=210.0)
results = simulate_money_line(data_slice.data, 'SOL-PERP', inputs, config)
print(f'Test: {len(results.trades)} trades, {results.win_rate*100:.1f}% WR, \${results.total_pnl:.2f} P&L')
print('✅ Everything working!')
"
```

If test passes, run the full sweep!