Deployment Status & Verification
Verification reports for major feature deployments.
This directory contains COMPLETE.md and DEPLOYMENT.md status files documenting deployment verification for significant system changes.
✅ Recent Deployments
December 2025
DEPLOYMENT_SUCCESS_DEC3_2025.md- Bug fixes deployment- Bug #1: Revenge system external closure integration
- Bug #5: Smart Validation Queue bypass in execute endpoint
- 2 critical fixes deployed and verified
- Status: ✅ VERIFIED (Dec 3, 09:02 UTC)
November 2025
-
V9_IMPLEMENTATION_COMPLETE.md- v9 Money Line indicator- MA Gap analysis (±5 to +15 quality points)
- Momentum-Based SHORT Filter (ADX ≥23, Position-based entry)
- Quality thresholds: LONG ≥90, SHORT ≥80
- Status: ✅ PRODUCTION (Nov 26, 2025)
-
PHASE_7.3_ADAPTIVE_TRAILING_DEPLOYED.md- Adaptive trailing stop- Real-time 1-minute ADX monitoring
- Dynamic multipliers: ADX acceleration/deceleration
- Combined max: 3.16× for strong trending moves
- Status: ✅ DEPLOYED (Nov 27, 2025)
-
ONE_YEAR_RETENTION_DEPLOYMENT.md- Data retention policy- Database: 1 year retention for Trade/PriceUpdate tables
- BlockedSignal: 90 days retention
- Automated cleanup job
- Status: ✅ ACTIVE
-
RUNNER_SYSTEM_FIX_COMPLETE.md- Runner stop loss protection- Fixed: No SL protection between TP1 and TP2
- Added: Explicit runner SL check in monitoring loop
- ADX-based runner SL positioning
- Status: ✅ VERIFIED (Nov 15, 2025)
-
REENTRY_SYSTEM_COMPLETE.md- Manual trade validation- Fresh TradingView data validation (<5min old)
- Recent performance modifiers (±20 points)
- Minimum score 55 (vs 60 for new signals)
- Status: ✅ OPERATIONAL
-
MA_CROSSOVER_DETECTION_COMPLETE.md- MA crossover tracking- n8n Parse Signal Enhanced detects "crossing" keyword
- Flags: isMACrossover, isDeathCross, isGoldenCross
- Purpose: Data collection for ADX weak→strong validation
- Status: ✅ IMPLEMENTED (Nov 27, 2025)
-
CLUSTER_STOP_BUTTON_FIX_COMPLETE.md- Cluster control UI- Database-first status detection (SSH supplementary)
- Stop button properly shown when cluster active
- Conditional rendering based on cluster status
- Status: ✅ DEPLOYED (Nov 30, 2025)
-
SMART_ENTRY_DEPLOYMENT_STATUS.md- Smart Entry Validation Queue- Block & Watch system for quality 50-89 signals
- ±0.3% confirmation thresholds (optimized from backtest)
- 30-second monitoring with 10-minute expiry
- Status: ✅ ACTIVE (Nov 30, 2025)
-
SMART_ENTRY_TIMING_STATUS.md- Smart Entry pullback detection- Waits for 0.5-2% pullback before entry
- Adaptive based on ATR and market conditions
- Improves entry prices on quality 85+ signals
- Status: ✅ ENABLED
-
TP1_FIX_DEPLOYMENT_SUMMARY.md- TP1 detection accuracy- Fixed: TP1 detection when on-chain orders fill fast
- Percentage-based exit reason inference (0.3-1.2% = TP1)
- Database records now accurate
- Status: ✅ VERIFIED (Nov 19, 2025)
-
PHASE_4_VERIFICATION_COMPLETE.md- Historical verification- Phase 4 position scaling optimizations
- TP2-as-runner system validation
- 40% runner with ATR trailing stop
- Status: ✅ COMPLETE
📋 Deployment Checklist Template
For Every Major Deployment:
1. Pre-Deployment
- Code changes committed and pushed
- Unit tests pass (if applicable)
- Integration tests pass
- Documentation updated (copilot-instructions.md)
- Deployment doc created in this directory
2. Build & Deploy
# Build Docker image
cd /home/icke/traderv4
docker compose build trading-bot
# Restart container
docker compose up -d --force-recreate trading-bot
# Verify container running
docker ps | grep trading-bot
3. Verification
# 1. Check container start time > commit time
echo "=== Container Start Time ===" && \
docker inspect trading-bot-v4 --format='{{.State.StartedAt}}'
echo -e "\n=== Recent Commits ===" && \
git log --oneline --since="YYYY-MM-DD HH:MM" --format='%h %ai %s'
# 2. Verify logs show expected behavior
docker logs -f trading-bot-v4 | grep -E "expected_log_pattern"
# 3. Test API endpoints
curl http://localhost:3001/api/endpoint/path
# 4. Database verification (if schema changes)
docker exec trading-bot-postgres psql -U postgres -d trading_bot_v4 -c "\\dt"
4. Post-Deployment
- Container start time > all commit timestamps ✅
- Expected log messages appear ✅
- API endpoints respond correctly ✅
- Database schema correct (if applicable) ✅
- Test trade executed successfully (if trading logic changed) ✅
- User notified of deployment ✅
5. Documentation
- Deployment doc updated with verification results
- Common Pitfalls added (if bug fix)
- Roadmap updated (if completing phase)
- Git commit for deployment verification
🚨 Critical Deployment Rules
NEVER declare "deployed" or "working" without:
- ✅ Verifying container start time > commit timestamp
- ✅ Observing expected logs in production
- ✅ Testing API endpoint or feature behavior
- ✅ SQL query confirming database state (if applicable)
- ✅ Test trade validation (if Position Manager changes)
Why This Matters:
- This is a real money trading system
- Premature "working" declarations cause financial losses
- Container restart required for code changes to take effect
- Code committed ≠ Code deployed ≠ Code verified
📝 Creating Deployment Docs
Naming Convention:
[FEATURE]_COMPLETE.md- Major feature fully implementedDEPLOYMENT_SUCCESS_[DATE].md- Multiple fixes deployed togetherPHASE_[N]_VERIFICATION_COMPLETE.md- Roadmap phase completion
Required Sections:
# [Feature Name] - DEPLOYED ([Date])
**Purpose:** [What this deployment does]
**Status:** ✅ VERIFIED | ⏳ PENDING | ❌ FAILED
---
## Changes Deployed
### **Files Modified**
- `path/to/file1.ts` - [Description]
- `path/to/file2.ts` - [Description]
### **Key Improvements**
1. [Change 1]
2. [Change 2]
---
## Deployment Process
**Build Time:** [Time]
**Container Restart:** [Time]
**Git Commit:** [Hash] - [Message]
### **Verification Steps**
```bash
# Commands used to verify deployment
Verification Results
- ✅ Container start time: [Time] > Commit time: [Time]
- ✅ Expected logs observed: "[Log message]"
- ✅ API test successful: [Response]
- ✅ Database state correct: [Query results]
Expected Behavior
Before Deployment:
- [Old behavior description]
After Deployment:
- [New behavior description]
Monitoring
What to Watch:
- [Log patterns to monitor]
- [Database queries to check]
- [API endpoints to test]
Success Indicators:
- [How to know it's working correctly]
Failure Indicators:
- [How to detect problems]
Rollback Procedure
If Problems Occur:
# Revert to previous container
docker tag traderv4-trading-bot:backup traderv4-trading-bot:latest
docker compose up -d --force-recreate trading-bot
# Or git revert
git revert [commit_hash]
git push
# Then rebuild/restart
Impact
Expected:
- [Benefit 1]
- [Benefit 2]
Actual: (Update after 24-48 hours)
- [Measured impact]
Lessons Learned
- [Key insight #1]
- [Key insight #2]
---
## 🔍 Finding Deployment Info
**By Date:**
- Most recent → Check filename dates (YYYY-MM-DD or Month YYYY)
- Historical → Older files in this directory
**By Feature:**
- v9 indicator → `V9_IMPLEMENTATION_COMPLETE.md`
- Trailing stops → `PHASE_7.3_ADAPTIVE_TRAILING_DEPLOYED.md`
- Runner system → `RUNNER_SYSTEM_FIX_COMPLETE.md`
- Smart Entry → `SMART_ENTRY_*_STATUS.md`
- Cluster UI → `CLUSTER_STOP_BUTTON_FIX_COMPLETE.md`
**By Status:**
- ✅ VERIFIED → Deployment confirmed working
- ⏳ PENDING → Awaiting verification
- 🔄 IN PROGRESS → Deployment ongoing
---
## 📊 Deployment Metrics
**Success Rate:**
- Track deployments requiring rollback
- Track verification time (commit → confirmed working)
- Track time to detect issues
**Typical Timeline:**
- Code change → Commit: 5-30 minutes
- Build Docker image: 60-90 seconds
- Container restart: 5-10 seconds
- Verification: 1-5 minutes
- **Total:** 10-45 minutes from code to verified
**Best Practices:**
- Always use `--force-recreate` flag for container restart
- Wait 10 seconds after restart before testing
- Test in order: Logs → API → Database → Feature
- Document verification steps in deployment doc
- Update roadmaps after phase completions
---
See `../README.md` for overall documentation structure.