docs: Major documentation reorganization + ENV variable reference

**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

docs/cluster/EPYC_SETUP_COMPREHENSIVE.md

@@ -0,0 +1,149 @@
+# 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!