# 1-Year Retention Deployment - Dec 2, 2025

## ✅ DEPLOYMENT COMPLETE

**Date:** December 2, 2025
**Status:** Fully deployed and verified
**Git Commit:** 5773d7d

---

## Changes Made

### 1. Code Update: lib/maintenance/data-cleanup.ts

**Previous state:** 4-week retention (28 days)  
**New state:** 1-year retention (365 days)

**Key changes:**
- Updated retention period: `setDate(-28)` → `setDate(-365)`
- Variable renamed: `fourWeeksAgo` → `oneYearAgo`
- Documentation updated with storage impact (~251 MB/year)

---

## Storage Analysis

### Row Size Measurement
```sql
SELECT pg_column_size(row(m.*)) as row_size_bytes 
FROM "MarketData" m LIMIT 1;
```
**Result:** 152 bytes per record

### Storage Calculations

| Timeframe | Records | Storage |
|-----------|---------|---------|
| 1 hour | 180 | 27.4 KB |
| 1 day | 4,320 | 0.63 MB |
| 1 week | 30,240 | 4.4 MB |
| 28 days | 120,960 | 17.5 MB |
| **365 days** | **1,576,800** | **228.5 MB** |
| **With 10% index overhead** | | **251 MB/year** |

**Data collection rate:** 3 records/minute (1/min × 3 symbols: SOL, ETH, BTC)

---

## Deployment Verification

### Container Status
```bash
docker compose up -d --force-recreate trading-bot
# Container trading-bot-v4 Started in 19.0s ✅
```

### Startup Logs Confirmed
```
🎯 Server starting - initializing services...
🧹 Starting data cleanup service...
✅ Data cleanup scheduled for 3 AM (in 15 hours)
✅ Data cleanup complete: Deleted 0 old market data rows (older than 2024-12-02) in 5ms
```

### Cutoff Date Verification
```sql
SELECT NOW() - INTERVAL '365 days' as one_year_cutoff;
```
**Result:** 2024-12-02 (1 year ago from deployment date) ✅

**Previous cutoff (4 weeks):** Nov 4, 2025  
**New cutoff (1 year):** Dec 2, 2024  

**Impact:** Records from Dec 2, 2024 onwards will be retained (vs only since Nov 4, 2025)

---

## Benefits of 1-Year Retention

### Comparison: 4 Weeks vs 1 Year

| Metric | 4 Weeks | 1 Year | Increase |
|--------|---------|--------|----------|
| **Storage** | 18 MB | 251 MB | 14× |
| **Records** | 120,960 | 1,576,800 | 13× |
| **Blocked signals** | 20-30 | 260-390 | 13× |
| **Analysis value** | Limited | Comprehensive | Massive |

### Key Advantages

1. **13× more historical data** for pattern analysis
2. **Seasonal trend detection** (summer vs winter volatility)
3. **Better statistical significance** for threshold decisions
4. **No risk of losing valuable blocked signal data**
5. **More complete picture** of indicator behavior over time
6. **Storage cost negligible** (0.25 GB vs user likely has TB+ available)

### Blocked Signal Analysis Benefits

**With 4-week retention:**
- ~20-30 blocked signals per month
- Limited timeframe for pattern detection
- Risk of losing valuable historical data

**With 1-year retention:**
- ~260-390 blocked signals per year
- Can analyze across different market conditions
- Discover patterns like: "Quality 80 + ADX rising 17→22 = avg 180min to TP1"

---

## Current Data Status

### Database Check (Dec 2, 2025 10:55)
```sql
SELECT symbol, COUNT(*) as rows, 
       MIN(TO_CHAR(timestamp, 'MM-DD HH24:MI')) as oldest,
       MAX(TO_CHAR(timestamp, 'MM-DD HH24:MI')) as newest
FROM "MarketData" GROUP BY symbol;
```

**Result:**
```
  symbol  | rows |   oldest    |   newest    
----------+------+-------------+-------------
 SOL-PERP |    1 | 12-02 10:25 | 12-02 10:25
```

**Status:** Test record confirmed, awaiting live TradingView 1-minute alerts

---

## Next Steps

### Immediate (Next 24 hours)
1. ✅ Monitor container stability - No crashes detected
2. ⏳ Watch for live 1-minute data from TradingView alerts
3. ⏳ Verify row growth: Should increase by ~180 rows/hour (3 symbols × 60 min)
4. ⏳ Check at 3 AM: Cleanup should run with 1-year cutoff

### Short Term (Week 1)
5. Monitor database size growth (~4.4 MB expected)
6. Verify no gaps in data collection
7. Confirm all 8 indicator fields populated (not NULL)
8. Validate cleanup runs daily without errors

### Medium Term (Months 1-3)
9. Collect 65-100 blocked signals with 8-hour 1-minute history
10. Monitor database size (18-55 MB)
11. Validate data quality (no gaps, all indicators present)
12. Begin preliminary pattern analysis

### Long Term (Months 4-12)
13. Continue data collection to 260-390 blocked signals
14. Refactor BlockedSignalTracker to query MarketData table
15. Add precise timing fields: tp1HitTime, minutesToTP1, adxAtTP1, rsiAtTP1
16. Comprehensive pattern analysis with full year of data
17. Make data-driven threshold decisions (lower to 85/80 or keep 90/80)

---

## Monitoring Commands

### Check Data Collection
```bash
# View current row counts
docker exec trading-bot-postgres psql -U postgres -d trading_bot_v4 -c \
  "SELECT symbol, COUNT(*) as rows FROM \"MarketData\" GROUP BY symbol;"

# View recent data
docker exec trading-bot-postgres psql -U postgres -d trading_bot_v4 -c \
  "SELECT symbol, price, adx, atr, TO_CHAR(timestamp, 'MM-DD HH24:MI:SS') \
   FROM \"MarketData\" ORDER BY timestamp DESC LIMIT 10;"
```

### Check Database Size
```bash
docker exec trading-bot-postgres psql -U postgres -d trading_bot_v4 -c \
  "SELECT pg_size_pretty(pg_total_relation_size('\"MarketData\"')) as table_size;"
```

### Check Cleanup Schedule
```bash
docker logs trading-bot-v4 | grep "cleanup"
```

---

## Technical Details

### MarketData Model (8 Fields)
```typescript
{
  id: String (cuid)
  createdAt: DateTime
  
  symbol: String         // "SOL-PERP", "ETH-PERP", "BTC-PERP"
  timeframe: String      // "1" for 1-minute
  price: Float           // Close price
  
  // Full indicator suite (ALL CONFIRMED SAVING):
  atr: Float             // Volatility %
  adx: Float             // Trend strength
  rsi: Float             // Momentum
  volumeRatio: Float     // Volume vs average
  pricePosition: Float   // Position in range (%)
  maGap: Float           // MA50-MA200 gap
  volume: Float          // Raw volume
  
  timestamp: DateTime    // Exact candle close time
}
```

### Cleanup Service Configuration
- **File:** lib/maintenance/data-cleanup.ts
- **Schedule:** Daily at 3 AM (cron: `0 3 * * *`)
- **Retention:** 365 days (1 year)
- **Action:** Deletes records where `createdAt < NOW() - INTERVAL '365 days'`
- **Integration:** Started automatically via lib/startup/init-position-manager.ts

### Test Data Validation
```
ID:               cmiofn61g0000t407ilf019cy
Symbol:           SOL-PERP ✅
Timeframe:        1 ✅
Price:            $127.85 ✅
ATR:              2.8 ✅
ADX:              21.5 ✅
RSI:              62.1 ✅
Volume Ratio:     1.5 ✅
Price Position:   55.2% ✅
MA Gap:           0.3 ✅
Volume:           18500 ✅
Timestamp:        Dec 2, 10:25:55 ✅
```

---

## Git History

### Commit: 5773d7d
```
feat: Extend 1-minute data retention from 4 weeks to 1 year

- Updated lib/maintenance/data-cleanup.ts retention period: 28 days → 365 days
- Storage requirements validated: 251 MB/year (negligible)
- Rationale: 13× more historical data for better pattern analysis
- Benefits: 260-390 blocked signals/year vs 20-30/month
- Cleanup cutoff: Now Dec 2, 2024 (vs Nov 4, 2025 previously)
- Deployment verified: Container restarted, cleanup scheduled for 3 AM daily
```

**Files changed:** 11 files, 1191 insertions, 7 deletions  
**Branch:** master  
**Remote:** Pushed successfully

---

## Success Criteria

| Criterion | Status |
|-----------|--------|
| Code updated with 1-year retention | ✅ COMPLETE |
| Docker image rebuilt | ✅ COMPLETE |
| Container restarted | ✅ COMPLETE |
| Startup logs verified | ✅ COMPLETE |
| Cleanup cutoff date confirmed (Dec 2, 2024) | ✅ COMPLETE |
| Cleanup scheduled for 3 AM daily | ✅ COMPLETE |
| Git commit created | ✅ COMPLETE |
| Changes pushed to remote | ✅ COMPLETE |
| Documentation created | ✅ COMPLETE |
| Test data validated (all 8 fields) | ✅ COMPLETE |
| Storage requirements calculated (251 MB/year) | ✅ COMPLETE |

---

## User's Original Question

**Question:** "please calculate how much mb the one month storage of the 1 minute datapoints will consume. maybe we can extend this to 1 year. i think it will not take much storage."

**Answer:** 
- **1 month (28 days):** 17.5 MB (~18 MB)
- **1 year (365 days):** 251 MB

**User's intuition:** "i think it will not take much storage" → **CORRECT!** ✅

**Decision:** Extended retention from 4 weeks to 1 year based on minimal storage requirements and massive analytical benefits.

---

## Conclusion

✅ **DEPLOYMENT SUCCESSFUL**

The 1-minute data retention period has been successfully extended from 4 weeks to 1 year. Storage requirements are negligible (251 MB/year), while analytical benefits are massive (13× more historical data). System is now configured to collect and retain a full year of continuous 1-minute market data across all indicators, providing comprehensive historical context for future blocked signal analysis and threshold optimization decisions.

**Next milestone:** Begin collecting live TradingView 1-minute alerts and monitor data accumulation over the next 24 hours.