Files
trading_bot_v4/docs/deployments/PHASE_4_VERIFICATION_COMPLETE.md
mindesbunister 4c36fa2bc3 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
2025-12-04 08:29:59 +01:00

5.8 KiB

Phase 4 Implementation Verification

Date: November 24, 2025
Status: COMPLETE - Both features fully operational


User Request

"our roadmap states the following two things. but i think they are already implemented!? double check. if they are mark them as green"

Roadmap Items Verified:

  1. Multi-Timeframe Price Tracking System
  2. Quality Threshold Validation

Verification Results

Multi-Timeframe Price Tracking System

Implementation: lib/analysis/blocked-signal-tracker.ts
Deployed: November 19, 2025 (commit 60fc571)
Status: Production - Running every 5 minutes

Evidence:

  • Code confirmed: BlockedSignalTracker class with 5-minute interval
  • Git history: Commit 60fc571 "feat: Automated multi-timeframe price tracking"
  • Database proof: 21 DATA_COLLECTION_ONLY signals tracked
    • 19 completed 30-minute analysis window
    • 2 still in progress
  • Container logs: Tracker running autonomously, showing "📊 No blocked signals to track" (expected when all complete)
  • Auto-start: Called from lib/startup/init-position-manager.ts line 55

Features Operational:

  • Tracks 15min, 1H, 4H, Daily signals (non-5min timeframes)
  • Price monitoring at 1/5/15/30 minute intervals
  • TP1 (~0.86%), TP2 (~1.72%), SL (~1.29%) hit detection
  • ATR-based target calculations
  • Max favorable/adverse excursion (MFE/MAE) tracking
  • Auto-completes after 30 minutes (analysisComplete=true)
  • API endpoint /api/analytics/signal-tracking functional

Quality Threshold Validation

Implementation: Same BlockedSignalTracker enhanced
Deployed: November 22, 2025 (commit 9478c6d)
Status: Production - Tracks QUALITY_SCORE_TOO_LOW signals

Evidence:

  • Code confirmed: Tracks both DATA_COLLECTION_ONLY and QUALITY_SCORE_TOO_LOW
  • Git history: Commit 9478c6d "feat: Enable quality-blocked signal tracking"
  • Database proof: 13 QUALITY_SCORE_TOO_LOW signals tracked
    • 6 completed 30-minute analysis window
    • 7 still in progress
  • Documentation: docs/QUALITY_THRESHOLD_VALIDATION.md created Nov 22
  • First validation result: Quality 80 signal blocked (ADX 16.6), would have profited +0.52% (+$43)

Features Operational:

  • Captures signals blocked by quality threshold (currently 91)
  • Same price tracking as multi-timeframe (1/5/15/30 min intervals)
  • Determines if blocked signals would've hit TP1/TP2/SL
  • MFE/MAE tracking for missed opportunities
  • Enables data-driven threshold optimization
  • Risk-free analysis of non-executed signals

Database Statistics (Nov 24, 2025)

Total Blocked Signals: 34

  • Multi-timeframe (DATA_COLLECTION_ONLY): 21 signals
    • Completed: 19 (90.5%)
    • In progress: 2 (9.5%)
  • Quality-blocked (QUALITY_SCORE_TOO_LOW): 13 signals
    • Completed: 6 (46.2%)
    • In progress: 7 (53.8%)

SQL Query Used:

docker exec trading-bot-postgres psql -U postgres -d trading_bot_v4 -c "
SELECT 
  \"blockReason\",
  COUNT(*) as total,
  SUM(CASE WHEN \"analysisComplete\" THEN 1 ELSE 0 END) as complete,
  SUM(CASE WHEN NOT \"analysisComplete\" THEN 1 ELSE 0 END) as incomplete
FROM \"BlockedSignal\"
GROUP BY \"blockReason\"
ORDER BY total DESC;
"

Technical Details

BlockedSignalTracker Architecture

Singleton Pattern:

import { getBlockedSignalTracker } from '@/lib/analysis/blocked-signal-tracker'

const tracker = getBlockedSignalTracker()  // Always use getter

Monitoring Loop:

  1. Runs every 5 minutes (300,000ms interval)
  2. Queries incomplete signals within 24-hour window
  3. Gets current price from Drift oracle
  4. Calculates profit % based on direction
  5. Updates priceAfter fields at appropriate intervals
  6. Checks TP1/TP2/SL hits using ATR-based targets
  7. Tracks MFE/MAE throughout 30-minute window
  8. Marks analysisComplete=true after 30 minutes

Auto-Start Integration:

  • Container startup → lib/startup/init-position-manager.ts
  • Calls startBlockedSignalTracking() at line 55
  • Runs alongside Position Manager and Stop Hunt Tracker

API Endpoints:

  • GET /api/analytics/signal-tracking - View status and statistics
  • POST /api/analytics/signal-tracking - Manually trigger update (auth required)

Roadmap Updates Applied

File: SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md

Changes Made:

  1. Changed Phase 4 status from "🤖 FUTURE" to " COMPLETE"
  2. Added deployment dates (Nov 19-22, 2025)
  3. Updated implementation details with actual code locations
  4. Added current data statistics (34 signals tracked)
  5. Updated milestones section with completion checkmarks
  6. Updated metrics section with actual collection progress
  7. Updated header status to reflect Phase 4 completion

Commit: 61eb178 "docs: Mark Phase 4 (automated price tracking) as COMPLETE "


Conclusion

Both features are fully implemented, deployed, and operational in production.

The user's intuition was correct - these items were already complete and just needed verification + roadmap update. The system is actively collecting data for both multi-timeframe analysis and quality threshold validation, with strong evidence of proper functionality.

Next Steps (from roadmap):

  • Continue data collection (target: 50+ signals per category)
  • Phase 2 analysis when sufficient data collected
  • Data-driven threshold adjustments in Phase 3

Files Modified

  • SIGNAL_QUALITY_OPTIMIZATION_ROADMAP.md (Phase 4 marked complete)
  • Git committed and pushed (61eb178)

Files Referenced

  • lib/analysis/blocked-signal-tracker.ts (implementation)
  • lib/startup/init-position-manager.ts (auto-start)
  • app/api/analytics/signal-tracking/route.ts (API)
  • docs/QUALITY_THRESHOLD_VALIDATION.md (documentation)
  • .github/copilot-instructions.md (system documentation)