4c36fa2bc3
**Documentation Structure:** - Created docs/ subdirectory organization (analysis/, architecture/, bugs/, cluster/, deployments/, roadmaps/, setup/, archived/) - Moved 68 root markdown files to appropriate categories - Root directory now clean (only README.md remains) - Total: 83 markdown files now organized by purpose **New Content:** - Added comprehensive Environment Variable Reference to copilot-instructions.md - 100+ ENV variables documented with types, defaults, purpose, notes - Organized by category: Required (Drift/RPC/Pyth), Trading Config (quality/ leverage/sizing), ATR System, Runner System, Risk Limits, Notifications, etc. - Includes usage examples (correct vs wrong patterns) **File Distribution:** - docs/analysis/ - Performance analyses, blocked signals, profit projections - docs/architecture/ - Adaptive leverage, ATR trailing, indicator tracking - docs/bugs/ - CRITICAL_*.md, FIXES_*.md bug reports (7 files) - docs/cluster/ - EPYC setup, distributed computing docs (3 files) - docs/deployments/ - *_COMPLETE.md, DEPLOYMENT_*.md status (12 files) - docs/roadmaps/ - All *ROADMAP*.md strategic planning files (7 files) - docs/setup/ - TradingView guides, signal quality, n8n setup (8 files) - docs/archived/2025_pre_nov/ - Obsolete verification checklist (1 file) **Key Improvements:** - ENV variable reference: Single source of truth for all configuration - Common Pitfalls #68-71: Already complete, verified during audit - Better findability: Category-based navigation vs 68 files in root - Preserves history: All files git mv (rename), not copy/delete - Zero broken functionality: Only documentation moved, no code changes **Verification:** - 83 markdown files now in docs/ subdirectories - Root directory cleaned: 68 files → 0 files (except README.md) - Git history preserved for all moved files - Container running: trading-bot-v4 (no restart needed) **Next Steps:** - Create README.md files in each docs subdirectory - Add navigation index - Update main README.md with new structure - Consolidate duplicate deployment docs - Archive truly obsolete files (old SQL backups) See: docs/analysis/CLEANUP_PLAN.md for complete reorganization strategy
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Running Comprehensive Sweep on EPYC Server
Transfer Package to EPYC
# From your local machine
scp comprehensive_sweep_package.tar.gz root@72.62.39.24:/root/
Setup on EPYC
# 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
# 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
# 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
# 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
# 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:
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!