fix: properly close telegram client session to prevent resource leak (issue #52)

Adds telegram.close() to finally block to ensure aiohttp session cleanup.

Changes:
- src/main.py:553 - Add await telegram.close() in shutdown

Before:
- broker.close() called ✅
- telegram.close() NOT called ❌
- "Unclosed client session" error on shutdown

After:
- broker.close() called ✅
- telegram.close() called ✅
- Clean shutdown, no resource leak errors

Impact:
- Eliminates aiohttp resource leak warnings
- Proper cleanup of Telegram API connections
- No memory leaks in long-running processes

Related:
- KISBroker.close() already handles broker session
- OverseasBroker reuses KISBroker session (no separate close needed)
- TelegramClient has separate session that needs cleanup

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

.env.example

@@ -16,8 +16,9 @@ CONFIDENCE_THRESHOLD=80
 # Database
 DB_PATH=data/trade_logs.db
 
-# Rate Limiting
+# Rate Limiting (requests per second for KIS API)
-RATE_LIMIT_RPS=10.0
+# Reduced to 5.0 to avoid "초당 거래건수 초과" errors (EGW00201)
+RATE_LIMIT_RPS=5.0
 
 # Trading Mode (paper / live)
 MODE=paper
@@ -26,3 +27,10 @@ MODE=paper
 # NEWS_API_KEY=your_news_api_key_here
 # NEWS_API_PROVIDER=alphavantage
 # MARKET_DATA_API_KEY=your_market_data_key_here
+
+# Telegram Notifications (optional)
+# Get bot token from @BotFather on Telegram
+# Get chat ID from @userinfobot or your chat
+# TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+# TELEGRAM_CHAT_ID=123456789
+# TELEGRAM_ENABLED=true

CLAUDE.md

@@ -17,6 +17,34 @@ pytest -v --cov=src
 python -m src.main --mode=paper
 ```
 
+## Telegram Notifications (Optional)
+
+Get real-time alerts for trades, circuit breakers, and system events via Telegram.
+
+### Quick Setup
+
+1. **Create bot**: Message [@BotFather](https://t.me/BotFather) on Telegram → `/newbot`
+2. **Get chat ID**: Message [@userinfobot](https://t.me/userinfobot) → `/start`
+3. **Configure**: Add to `.env`:
+   ```bash
+   TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+   TELEGRAM_CHAT_ID=123456789
+   TELEGRAM_ENABLED=true
+   ```
+4. **Test**: Start bot conversation (`/start`), then run the agent
+
+**Full documentation**: [src/notifications/README.md](src/notifications/README.md)
+
+### What You'll Get
+
+- 🟢 Trade execution alerts (BUY/SELL with confidence)
+- 🚨 Circuit breaker trips (automatic trading halt)
+- ⚠️ Fat-finger rejections (oversized orders blocked)
+- ℹ️ Market open/close notifications
+- 📝 System startup/shutdown status
+
+**Fail-safe**: Notifications never crash the trading system. Missing credentials or API errors are logged but trading continues normally.
+
 ## Documentation
 
 - **[Workflow Guide](docs/workflow.md)** — Git workflow policy and agent-based development
@@ -42,11 +70,12 @@ src/
 ├── core/            # Risk manager (READ-ONLY)
 ├── evolution/       # Self-improvement optimizer
 ├── markets/         # Market schedules and timezone handling
+├── notifications/   # Telegram real-time alerts
 ├── db.py            # SQLite trade logging
 ├── main.py          # Trading loop orchestrator
 └── config.py        # Settings (from .env)
 
-tests/               # 54 tests across 4 files
+tests/               # 273 tests across 13 files
 docs/                # Extended documentation
 ```
 

README.md

@@ -29,6 +29,7 @@ KIS(한국투자증권) API로 매매하고, Google Gemini로 판단하며, 자
 | 브로커 | `src/broker/kis_api.py` | KIS API 비동기 래퍼 (토큰 갱신, 레이트 리미터, 해시키) |
 | 두뇌 | `src/brain/gemini_client.py` | Gemini 프롬프트 구성 및 JSON 응답 파싱 |
 | 방패 | `src/core/risk_manager.py` | 서킷 브레이커 + 팻 핑거 체크 |
+| 알림 | `src/notifications/telegram_client.py` | 텔레그램 실시간 거래 알림 (선택사항) |
 | 진화 | `src/evolution/optimizer.py` | 실패 패턴 분석 → 새 전략 생성 → 테스트 → PR |
 | DB | `src/db.py` | SQLite 거래 로그 기록 |
 
@@ -75,6 +76,34 @@ python -m src.main --mode=paper
 docker compose up -d ouroboros
 ```
 
+## 텔레그램 알림 (선택사항)
+
+거래 실행, 서킷 브레이커 발동, 시스템 상태 등을 텔레그램으로 실시간 알림 받을 수 있습니다.
+
+### 빠른 설정
+
+1. **봇 생성**: 텔레그램에서 [@BotFather](https://t.me/BotFather) 메시지 → `/newbot` 명령
+2. **채팅 ID 확인**: [@userinfobot](https://t.me/userinfobot) 메시지 → `/start` 명령
+3. **환경변수 설정**: `.env` 파일에 추가
+   ```bash
+   TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+   TELEGRAM_CHAT_ID=123456789
+   TELEGRAM_ENABLED=true
+   ```
+4. **테스트**: 봇과 대화 시작 (`/start` 전송) 후 에이전트 실행
+
+**상세 문서**: [src/notifications/README.md](src/notifications/README.md)
+
+### 알림 종류
+
+- 🟢 거래 체결 알림 (BUY/SELL + 신뢰도)
+- 🚨 서킷 브레이커 발동 (자동 거래 중단)
+- ⚠️ 팻 핑거 차단 (과도한 주문 차단)
+- ℹ️ 장 시작/종료 알림
+- 📝 시스템 시작/종료 상태
+
+**안전장치**: 알림 실패해도 거래는 계속 진행됩니다. 텔레그램 API 오류나 설정 누락이 있어도 거래 시스템은 정상 작동합니다.
+
 ## 테스트
 
 35개 테스트가 TDD 방식으로 구현 전에 먼저 작성되었습니다.
@@ -104,15 +133,16 @@ The-Ouroboros/
 │   ├── agents.md                # AI 에이전트 페르소나 정의
 │   └── skills.md                # 사용 가능한 도구 목록
 ├── src/
-│   ├── config.py                # Pydantic 설정
+│   ├── config.py                      # Pydantic 설정
-│   ├── logging_config.py        # JSON 구조화 로깅
+│   ├── logging_config.py              # JSON 구조화 로깅
-│   ├── db.py                    # SQLite 거래 기록
+│   ├── db.py                          # SQLite 거래 기록
-│   ├── main.py                  # 비동기 거래 루프
+│   ├── main.py                        # 비동기 거래 루프
-│   ├── broker/kis_api.py        # KIS API 클라이언트
+│   ├── broker/kis_api.py              # KIS API 클라이언트
-│   ├── brain/gemini_client.py   # Gemini 의사결정 엔진
+│   ├── brain/gemini_client.py         # Gemini 의사결정 엔진
-│   ├── core/risk_manager.py     # 리스크 관리
+│   ├── core/risk_manager.py           # 리스크 관리
-│   ├── evolution/optimizer.py   # 전략 진화 엔진
+│   ├── notifications/telegram_client.py # 텔레그램 알림
-│   └── strategies/base.py       # 전략 베이스 클래스
+│   ├── evolution/optimizer.py         # 전략 진화 엔진
+│   └── strategies/base.py             # 전략 베이스 클래스
 ├── tests/                       # TDD 테스트 스위트
 ├── Dockerfile                   # 멀티스테이지 빌드
 ├── docker-compose.yml           # 서비스 오케스트레이션

docs/architecture.md

@@ -51,7 +51,26 @@ Self-evolving AI trading agent for global stock markets via KIS (Korea Investmen
 - **Fat-Finger Protection**: Rejects orders exceeding 30% of available cash
   - Must always be enforced, cannot be disabled
 
-### 4. Evolution (`src/evolution/optimizer.py`)
+### 4. Notifications (`src/notifications/telegram_client.py`)
+
+**TelegramClient** — Real-time event notifications via Telegram Bot API
+
+- Sends alerts for trades, circuit breakers, fat-finger rejections, system events
+- Non-blocking: failures are logged but never crash trading
+- Rate-limited: 1 message/second default to respect Telegram API limits
+- Auto-disabled when credentials missing
+- Gracefully handles API errors, network timeouts, invalid tokens
+
+**Notification Types:**
+- Trade execution (BUY/SELL with confidence)
+- Circuit breaker trips (critical alert)
+- Fat-finger protection triggers (order rejection)
+- Market open/close events
+- System startup/shutdown status
+
+**Setup:** See [src/notifications/README.md](../src/notifications/README.md) for bot creation and configuration.
+
+### 5. Evolution (`src/evolution/optimizer.py`)
 
 **StrategyOptimizer** — Self-improvement loop
 
@@ -115,6 +134,14 @@ Self-evolving AI trading agent for global stock markets via KIS (Korea Investmen
                            │
                            ▼
         ┌──────────────────────────────────┐
+        │ Notifications: Send Alert         │
+        │ - Trade execution notification    │
+        │ - Non-blocking (errors logged)    │
+        │ - Rate-limited to 1/sec           │
+        └──────────────────┬────────────────┘
+                           │
+                           ▼
+        ┌──────────────────────────────────┐
         │ Database: Log Trade               │
         │ - SQLite (data/trades.db)         │
         │ - Track: action, confidence,      │
@@ -164,6 +191,11 @@ CONFIDENCE_THRESHOLD=80
 MAX_LOSS_PCT=3.0
 MAX_ORDER_PCT=30.0
 ENABLED_MARKETS=KR,US_NASDAQ  # Comma-separated market codes
+
+# Telegram Notifications (optional)
+TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+TELEGRAM_CHAT_ID=123456789
+TELEGRAM_ENABLED=true
 ```
 
 Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tests/conftest.py`.
@@ -189,3 +221,12 @@ Tests use in-memory SQLite (`DB_PATH=":memory:"`) and dummy credentials via `tes
 - Wait until next market opens
 - Use `get_next_market_open()` to calculate wait time
 - Sleep until market open time
+
+### Telegram API Errors
+- Log warning but continue trading
+- Missing credentials → auto-disable notifications
+- Network timeout → skip notification, no retry
+- Invalid token → log error, trading unaffected
+- Rate limit exceeded → queued via rate limiter
+
+**Guarantee**: Notification failures never interrupt trading operations.

docs/disaster_recovery.md

@@ -0,0 +1,348 @@
+# Disaster Recovery Guide
+
+Complete guide for backing up and restoring The Ouroboros trading system.
+
+## Table of Contents
+
+- [Backup Strategy](#backup-strategy)
+- [Creating Backups](#creating-backups)
+- [Restoring from Backup](#restoring-from-backup)
+- [Health Monitoring](#health-monitoring)
+- [Export Formats](#export-formats)
+- [RTO/RPO](#rtorpo)
+- [Testing Recovery](#testing-recovery)
+
+## Backup Strategy
+
+The system implements a 3-tier backup retention policy:
+
+| Policy | Frequency | Retention | Purpose |
+|--------|-----------|-----------|---------|
+| **Daily** | Every day | 30 days | Quick recovery from recent issues |
+| **Weekly** | Sunday | 1 year | Medium-term historical analysis |
+| **Monthly** | 1st of month | Forever | Long-term archival |
+
+### Storage Structure
+
+```
+data/backups/
+├── daily/          # Last 30 days
+├── weekly/         # Last 52 weeks
+└── monthly/        # Forever (cold storage)
+```
+
+## Creating Backups
+
+### Automated Backups (Recommended)
+
+Set up a cron job to run daily:
+
+```bash
+# Edit crontab
+crontab -e
+
+# Run backup at 2 AM every day
+0 2 * * * cd /path/to/The-Ouroboros && ./scripts/backup.sh >> logs/backup.log 2>&1
+```
+
+### Manual Backups
+
+```bash
+# Run backup script
+./scripts/backup.sh
+
+# Or use Python directly
+python3 -c "
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler, BackupPolicy
+
+scheduler = BackupScheduler('data/trade_logs.db', Path('data/backups'))
+metadata = scheduler.create_backup(BackupPolicy.DAILY, verify=True)
+print(f'Backup created: {metadata.file_path}')
+"
+```
+
+### Export to Other Formats
+
+```bash
+python3 -c "
+from pathlib import Path
+from src.backup.exporter import BackupExporter, ExportFormat
+
+exporter = BackupExporter('data/trade_logs.db')
+results = exporter.export_all(
+    Path('exports'),
+    formats=[ExportFormat.JSON, ExportFormat.CSV],
+    compress=True
+)
+"
+```
+
+## Restoring from Backup
+
+### Interactive Restoration
+
+```bash
+./scripts/restore.sh
+```
+
+The script will:
+1. List available backups
+2. Ask you to select one
+3. Create a safety backup of current database
+4. Restore the selected backup
+5. Verify database integrity
+
+### Manual Restoration
+
+```python
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler
+
+scheduler = BackupScheduler('data/trade_logs.db', Path('data/backups'))
+
+# List backups
+backups = scheduler.list_backups()
+for backup in backups:
+    print(f"{backup.timestamp}: {backup.file_path}")
+
+# Restore specific backup
+scheduler.restore_backup(backups[0], verify=True)
+```
+
+## Health Monitoring
+
+### Check System Health
+
+```python
+from pathlib import Path
+from src.backup.health_monitor import HealthMonitor
+
+monitor = HealthMonitor('data/trade_logs.db', Path('data/backups'))
+
+# Run all checks
+report = monitor.get_health_report()
+print(f"Overall status: {report['overall_status']}")
+
+# Individual checks
+checks = monitor.run_all_checks()
+for name, result in checks.items():
+    print(f"{name}: {result.status.value} - {result.message}")
+```
+
+### Health Checks
+
+The system monitors:
+
+- **Database Health**: Accessibility, integrity, size
+- **Disk Space**: Available storage (alerts if < 10 GB)
+- **Backup Recency**: Ensures backups are < 25 hours old
+
+### Health Status Levels
+
+- **HEALTHY**: All systems operational
+- **DEGRADED**: Warning condition (e.g., low disk space)
+- **UNHEALTHY**: Critical issue (e.g., database corrupted, no backups)
+
+## Export Formats
+
+### JSON (Human-Readable)
+
+```json
+{
+  "export_timestamp": "2024-01-15T10:30:00Z",
+  "record_count": 150,
+  "trades": [
+    {
+      "timestamp": "2024-01-15T09:00:00Z",
+      "stock_code": "005930",
+      "action": "BUY",
+      "quantity": 10,
+      "price": 70000.0,
+      "confidence": 85,
+      "rationale": "Strong momentum",
+      "pnl": 0.0
+    }
+  ]
+}
+```
+
+### CSV (Analysis Tools)
+
+Compatible with Excel, pandas, R:
+
+```csv
+timestamp,stock_code,action,quantity,price,confidence,rationale,pnl
+2024-01-15T09:00:00Z,005930,BUY,10,70000.0,85,Strong momentum,0.0
+```
+
+### Parquet (Big Data)
+
+Columnar format for Spark, DuckDB:
+
+```python
+import pandas as pd
+df = pd.read_parquet('exports/trades_20240115.parquet')
+```
+
+## RTO/RPO
+
+### Recovery Time Objective (RTO)
+
+**Target: < 5 minutes**
+
+Time to restore trading operations:
+1. Identify backup to restore (1 min)
+2. Run restore script (2 min)
+3. Verify database integrity (1 min)
+4. Restart trading system (1 min)
+
+### Recovery Point Objective (RPO)
+
+**Target: < 24 hours**
+
+Maximum acceptable data loss:
+- Daily backups ensure ≤ 24-hour data loss
+- For critical periods, run backups more frequently
+
+## Testing Recovery
+
+### Quarterly Recovery Test
+
+Perform full disaster recovery test every quarter:
+
+1. **Create test backup**
+   ```bash
+   ./scripts/backup.sh
+   ```
+
+2. **Simulate disaster** (use test database)
+   ```bash
+   cp data/trade_logs.db data/trade_logs_test.db
+   rm data/trade_logs_test.db  # Simulate data loss
+   ```
+
+3. **Restore from backup**
+   ```bash
+   DB_PATH=data/trade_logs_test.db ./scripts/restore.sh
+   ```
+
+4. **Verify data integrity**
+   ```python
+   import sqlite3
+   conn = sqlite3.connect('data/trade_logs_test.db')
+   cursor = conn.execute('SELECT COUNT(*) FROM trades')
+   print(f"Restored {cursor.fetchone()[0]} trades")
+   ```
+
+5. **Document results** in `logs/recovery_test_YYYYMMDD.md`
+
+### Backup Verification
+
+Always verify backups after creation:
+
+```python
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler
+
+scheduler = BackupScheduler('data/trade_logs.db', Path('data/backups'))
+
+# Create and verify
+metadata = scheduler.create_backup(BackupPolicy.DAILY, verify=True)
+print(f"Checksum: {metadata.checksum}")  # Should not be None
+```
+
+## Emergency Procedures
+
+### Database Corrupted
+
+1. Stop trading system immediately
+2. Check most recent backup age: `ls -lht data/backups/daily/`
+3. Restore: `./scripts/restore.sh`
+4. Verify: Run health check
+5. Resume trading
+
+### Disk Full
+
+1. Check disk space: `df -h`
+2. Clean old backups: Run cleanup manually
+   ```python
+   from pathlib import Path
+   from src.backup.scheduler import BackupScheduler
+   scheduler = BackupScheduler('data/trade_logs.db', Path('data/backups'))
+   scheduler.cleanup_old_backups()
+   ```
+3. Consider archiving old monthly backups to external storage
+4. Increase disk space if needed
+
+### Lost All Backups
+
+If local backups are lost:
+1. Check if exports exist in `exports/` directory
+2. Reconstruct database from CSV/JSON exports
+3. If no exports: Check broker API for trade history
+4. Manual reconstruction as last resort
+
+## Best Practices
+
+1. **Test Restores Regularly**: Don't wait for disaster
+2. **Monitor Disk Space**: Set up alerts at 80% usage
+3. **Keep Multiple Generations**: Never delete all backups at once
+4. **Verify Checksums**: Always verify backup integrity
+5. **Document Changes**: Update this guide when backup strategy changes
+6. **Off-Site Storage**: Consider external backup for monthly archives
+
+## Troubleshooting
+
+### Backup Script Fails
+
+```bash
+# Check database file permissions
+ls -l data/trade_logs.db
+
+# Check disk space
+df -h data/
+
+# Run backup manually with debug
+python3 -c "
+import logging
+logging.basicConfig(level=logging.DEBUG)
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler, BackupPolicy
+scheduler = BackupScheduler('data/trade_logs.db', Path('data/backups'))
+scheduler.create_backup(BackupPolicy.DAILY, verify=True)
+"
+```
+
+### Restore Fails Verification
+
+```bash
+# Check backup file integrity
+python3 -c "
+import sqlite3
+conn = sqlite3.connect('data/backups/daily/trade_logs_daily_20240115.db')
+cursor = conn.execute('PRAGMA integrity_check')
+print(cursor.fetchone()[0])
+"
+```
+
+### Health Check Fails
+
+```python
+from pathlib import Path
+from src.backup.health_monitor import HealthMonitor
+
+monitor = HealthMonitor('data/trade_logs.db', Path('data/backups'))
+
+# Check each component individually
+print("Database:", monitor.check_database_health())
+print("Disk Space:", monitor.check_disk_space())
+print("Backup Recency:", monitor.check_backup_recency())
+```
+
+## Contact
+
+For backup/recovery issues:
+- Check logs: `logs/backup.log`
+- Review health status: Run health monitor
+- Raise issue on GitHub if automated recovery fails

scripts/backup.sh

@@ -0,0 +1,96 @@
+#!/usr/bin/env bash
+# Automated backup script for The Ouroboros trading system
+# Runs daily/weekly/monthly backups
+
+set -euo pipefail
+
+# Configuration
+DB_PATH="${DB_PATH:-data/trade_logs.db}"
+BACKUP_DIR="${BACKUP_DIR:-data/backups}"
+PYTHON="${PYTHON:-python3}"
+
+# Colors for output
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+RED='\033[0;31m'
+NC='\033[0m' # No Color
+
+log_info() {
+    echo -e "${GREEN}[INFO]${NC} $1"
+}
+
+log_warn() {
+    echo -e "${YELLOW}[WARN]${NC} $1"
+}
+
+log_error() {
+    echo -e "${RED}[ERROR]${NC} $1"
+}
+
+# Check if database exists
+if [ ! -f "$DB_PATH" ]; then
+    log_error "Database not found: $DB_PATH"
+    exit 1
+fi
+
+# Create backup directory
+mkdir -p "$BACKUP_DIR"
+
+log_info "Starting backup process..."
+log_info "Database: $DB_PATH"
+log_info "Backup directory: $BACKUP_DIR"
+
+# Determine backup policy based on day of week and month
+DAY_OF_WEEK=$(date +%u)  # 1-7 (Monday-Sunday)
+DAY_OF_MONTH=$(date +%d)
+
+if [ "$DAY_OF_MONTH" == "01" ]; then
+    POLICY="monthly"
+    log_info "Running MONTHLY backup (first day of month)"
+elif [ "$DAY_OF_WEEK" == "7" ]; then
+    POLICY="weekly"
+    log_info "Running WEEKLY backup (Sunday)"
+else
+    POLICY="daily"
+    log_info "Running DAILY backup"
+fi
+
+# Run Python backup script
+$PYTHON -c "
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler, BackupPolicy
+from src.backup.health_monitor import HealthMonitor
+
+# Create scheduler
+scheduler = BackupScheduler(
+    db_path='$DB_PATH',
+    backup_dir=Path('$BACKUP_DIR')
+)
+
+# Create backup
+policy = BackupPolicy.$POLICY.upper()
+metadata = scheduler.create_backup(policy, verify=True)
+print(f'Backup created: {metadata.file_path}')
+print(f'Size: {metadata.size_bytes / 1024 / 1024:.2f} MB')
+print(f'Checksum: {metadata.checksum}')
+
+# Cleanup old backups
+removed = scheduler.cleanup_old_backups()
+total_removed = sum(removed.values())
+if total_removed > 0:
+    print(f'Removed {total_removed} old backup(s)')
+
+# Health check
+monitor = HealthMonitor('$DB_PATH', Path('$BACKUP_DIR'))
+status = monitor.get_overall_status()
+print(f'System health: {status.value}')
+"
+
+if [ $? -eq 0 ]; then
+    log_info "Backup completed successfully"
+else
+    log_error "Backup failed"
+    exit 1
+fi
+
+log_info "Backup process finished"

scripts/restore.sh

@@ -0,0 +1,111 @@
+#!/usr/bin/env bash
+# Restore script for The Ouroboros trading system
+# Restores database from a backup file
+
+set -euo pipefail
+
+# Configuration
+DB_PATH="${DB_PATH:-data/trade_logs.db}"
+BACKUP_DIR="${BACKUP_DIR:-data/backups}"
+PYTHON="${PYTHON:-python3}"
+
+# Colors for output
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+RED='\033[0;31m'
+NC='\033[0m' # No Color
+
+log_info() {
+    echo -e "${GREEN}[INFO]${NC} $1"
+}
+
+log_warn() {
+    echo -e "${YELLOW}[WARN]${NC} $1"
+}
+
+log_error() {
+    echo -e "${RED}[ERROR]${NC} $1"
+}
+
+# Check if backup directory exists
+if [ ! -d "$BACKUP_DIR" ]; then
+    log_error "Backup directory not found: $BACKUP_DIR"
+    exit 1
+fi
+
+log_info "Available backups:"
+log_info "=================="
+
+# List available backups
+$PYTHON -c "
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler
+
+scheduler = BackupScheduler(
+    db_path='$DB_PATH',
+    backup_dir=Path('$BACKUP_DIR')
+)
+
+backups = scheduler.list_backups()
+
+if not backups:
+    print('No backups found.')
+    exit(1)
+
+for i, backup in enumerate(backups, 1):
+    size_mb = backup.size_bytes / 1024 / 1024
+    print(f'{i}. [{backup.policy.value.upper()}] {backup.file_path.name}')
+    print(f'   Date: {backup.timestamp.strftime(\"%Y-%m-%d %H:%M:%S UTC\")}')
+    print(f'   Size: {size_mb:.2f} MB')
+    print()
+"
+
+# Ask user to select backup
+echo ""
+read -p "Enter backup number to restore (or 'q' to quit): " BACKUP_NUM
+
+if [ "$BACKUP_NUM" == "q" ]; then
+    log_info "Restore cancelled"
+    exit 0
+fi
+
+# Confirm restoration
+log_warn "WARNING: This will replace the current database!"
+log_warn "Current database will be backed up to: ${DB_PATH}.before_restore"
+read -p "Are you sure you want to continue? (yes/no): " CONFIRM
+
+if [ "$CONFIRM" != "yes" ]; then
+    log_info "Restore cancelled"
+    exit 0
+fi
+
+# Perform restoration
+$PYTHON -c "
+from pathlib import Path
+from src.backup.scheduler import BackupScheduler
+
+scheduler = BackupScheduler(
+    db_path='$DB_PATH',
+    backup_dir=Path('$BACKUP_DIR')
+)
+
+backups = scheduler.list_backups()
+backup_index = int('$BACKUP_NUM') - 1
+
+if backup_index < 0 or backup_index >= len(backups):
+    print('Invalid backup number')
+    exit(1)
+
+selected = backups[backup_index]
+print(f'Restoring: {selected.file_path.name}')
+
+scheduler.restore_backup(selected, verify=True)
+print('Restore completed successfully')
+"
+
+if [ $? -eq 0 ]; then
+    log_info "Database restored successfully"
+else
+    log_error "Restore failed"
+    exit 1
+fi

src/backup/__init__.py

@@ -0,0 +1,21 @@
+"""Backup and disaster recovery system for long-term sustainability.
+
+This module provides:
+- Automated database backups (daily, weekly, monthly)
+- Multi-format exports (JSON, CSV, Parquet)
+- Cloud storage integration (S3-compatible)
+- Health monitoring and alerts
+"""
+
+from src.backup.exporter import BackupExporter, ExportFormat
+from src.backup.scheduler import BackupScheduler, BackupPolicy
+from src.backup.cloud_storage import CloudStorage, S3Config
+
+__all__ = [
+    "BackupExporter",
+    "ExportFormat",
+    "BackupScheduler",
+    "BackupPolicy",
+    "CloudStorage",
+    "S3Config",
+]

src/backup/cloud_storage.py

@@ -0,0 +1,274 @@
+"""Cloud storage integration for off-site backups.
+
+Supports S3-compatible storage providers:
+- AWS S3
+- MinIO
+- Backblaze B2
+- DigitalOcean Spaces
+- Cloudflare R2
+"""
+
+from __future__ import annotations
+
+import logging
+from dataclasses import dataclass
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+@dataclass
+class S3Config:
+    """Configuration for S3-compatible storage."""
+
+    endpoint_url: str | None  # None for AWS S3, custom URL for others
+    access_key: str
+    secret_key: str
+    bucket_name: str
+    region: str = "us-east-1"
+    use_ssl: bool = True
+
+
+class CloudStorage:
+    """Upload backups to S3-compatible cloud storage."""
+
+    def __init__(self, config: S3Config) -> None:
+        """Initialize cloud storage client.
+
+        Args:
+            config: S3 configuration
+
+        Raises:
+            ImportError: If boto3 is not installed
+        """
+        try:
+            import boto3
+        except ImportError:
+            raise ImportError(
+                "boto3 is required for cloud storage. Install with: pip install boto3"
+            )
+
+        self.config = config
+        self.client = boto3.client(
+            "s3",
+            endpoint_url=config.endpoint_url,
+            aws_access_key_id=config.access_key,
+            aws_secret_access_key=config.secret_key,
+            region_name=config.region,
+            use_ssl=config.use_ssl,
+        )
+
+    def upload_file(
+        self,
+        file_path: Path,
+        object_key: str | None = None,
+        metadata: dict[str, str] | None = None,
+    ) -> str:
+        """Upload a file to cloud storage.
+
+        Args:
+            file_path: Local file to upload
+            object_key: S3 object key (default: filename)
+            metadata: Optional metadata to attach
+
+        Returns:
+            S3 object key
+
+        Raises:
+            FileNotFoundError: If file doesn't exist
+            Exception: If upload fails
+        """
+        if not file_path.exists():
+            raise FileNotFoundError(f"File not found: {file_path}")
+
+        if object_key is None:
+            object_key = file_path.name
+
+        extra_args: dict[str, Any] = {}
+
+        # Add server-side encryption
+        extra_args["ServerSideEncryption"] = "AES256"
+
+        # Add metadata if provided
+        if metadata:
+            extra_args["Metadata"] = metadata
+
+        logger.info("Uploading %s to s3://%s/%s", file_path.name, self.config.bucket_name, object_key)
+
+        try:
+            self.client.upload_file(
+                str(file_path),
+                self.config.bucket_name,
+                object_key,
+                ExtraArgs=extra_args,
+            )
+            logger.info("Upload successful: %s", object_key)
+            return object_key
+        except Exception as exc:
+            logger.error("Upload failed: %s", exc)
+            raise
+
+    def download_file(self, object_key: str, local_path: Path) -> Path:
+        """Download a file from cloud storage.
+
+        Args:
+            object_key: S3 object key
+            local_path: Local destination path
+
+        Returns:
+            Path to downloaded file
+
+        Raises:
+            Exception: If download fails
+        """
+        local_path.parent.mkdir(parents=True, exist_ok=True)
+
+        logger.info("Downloading s3://%s/%s to %s", self.config.bucket_name, object_key, local_path)
+
+        try:
+            self.client.download_file(
+                self.config.bucket_name,
+                object_key,
+                str(local_path),
+            )
+            logger.info("Download successful: %s", local_path)
+            return local_path
+        except Exception as exc:
+            logger.error("Download failed: %s", exc)
+            raise
+
+    def list_files(self, prefix: str = "") -> list[dict[str, Any]]:
+        """List files in cloud storage.
+
+        Args:
+            prefix: Filter by object key prefix
+
+        Returns:
+            List of file metadata dictionaries
+        """
+        try:
+            response = self.client.list_objects_v2(
+                Bucket=self.config.bucket_name,
+                Prefix=prefix,
+            )
+
+            if "Contents" not in response:
+                return []
+
+            files = []
+            for obj in response["Contents"]:
+                files.append(
+                    {
+                        "key": obj["Key"],
+                        "size_bytes": obj["Size"],
+                        "last_modified": obj["LastModified"],
+                        "etag": obj["ETag"],
+                    }
+                )
+
+            return files
+        except Exception as exc:
+            logger.error("Failed to list files: %s", exc)
+            raise
+
+    def delete_file(self, object_key: str) -> None:
+        """Delete a file from cloud storage.
+
+        Args:
+            object_key: S3 object key
+
+        Raises:
+            Exception: If deletion fails
+        """
+        logger.info("Deleting s3://%s/%s", self.config.bucket_name, object_key)
+
+        try:
+            self.client.delete_object(
+                Bucket=self.config.bucket_name,
+                Key=object_key,
+            )
+            logger.info("Deletion successful: %s", object_key)
+        except Exception as exc:
+            logger.error("Deletion failed: %s", exc)
+            raise
+
+    def get_storage_stats(self) -> dict[str, Any]:
+        """Get cloud storage statistics.
+
+        Returns:
+            Dictionary with storage stats
+        """
+        try:
+            files = self.list_files()
+
+            total_size = sum(f["size_bytes"] for f in files)
+            total_count = len(files)
+
+            return {
+                "total_files": total_count,
+                "total_size_bytes": total_size,
+                "total_size_mb": total_size / 1024 / 1024,
+                "total_size_gb": total_size / 1024 / 1024 / 1024,
+            }
+        except Exception as exc:
+            logger.error("Failed to get storage stats: %s", exc)
+            return {
+                "error": str(exc),
+                "total_files": 0,
+                "total_size_bytes": 0,
+            }
+
+    def verify_connection(self) -> bool:
+        """Verify connection to cloud storage.
+
+        Returns:
+            True if connection is successful
+        """
+        try:
+            self.client.head_bucket(Bucket=self.config.bucket_name)
+            logger.info("Cloud storage connection verified")
+            return True
+        except Exception as exc:
+            logger.error("Cloud storage connection failed: %s", exc)
+            return False
+
+    def create_bucket_if_not_exists(self) -> None:
+        """Create storage bucket if it doesn't exist.
+
+        Raises:
+            Exception: If bucket creation fails
+        """
+        try:
+            self.client.head_bucket(Bucket=self.config.bucket_name)
+            logger.info("Bucket already exists: %s", self.config.bucket_name)
+        except self.client.exceptions.NoSuchBucket:
+            logger.info("Creating bucket: %s", self.config.bucket_name)
+            if self.config.region == "us-east-1":
+                # us-east-1 requires special handling
+                self.client.create_bucket(Bucket=self.config.bucket_name)
+            else:
+                self.client.create_bucket(
+                    Bucket=self.config.bucket_name,
+                    CreateBucketConfiguration={"LocationConstraint": self.config.region},
+                )
+            logger.info("Bucket created successfully")
+        except Exception as exc:
+            logger.error("Failed to verify/create bucket: %s", exc)
+            raise
+
+    def enable_versioning(self) -> None:
+        """Enable versioning on the bucket.
+
+        Raises:
+            Exception: If versioning enablement fails
+        """
+        try:
+            self.client.put_bucket_versioning(
+                Bucket=self.config.bucket_name,
+                VersioningConfiguration={"Status": "Enabled"},
+            )
+            logger.info("Versioning enabled for bucket: %s", self.config.bucket_name)
+        except Exception as exc:
+            logger.error("Failed to enable versioning: %s", exc)
+            raise

src/backup/exporter.py

@@ -0,0 +1,326 @@
+"""Multi-format database exporter for backups.
+
+Supports JSON, CSV, and Parquet formats for different use cases:
+- JSON: Human-readable, easy to inspect
+- CSV: Analysis tools (Excel, pandas)
+- Parquet: Big data tools (Spark, DuckDB)
+"""
+
+from __future__ import annotations
+
+import csv
+import gzip
+import json
+import logging
+import sqlite3
+from datetime import UTC, datetime
+from enum import Enum
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+class ExportFormat(str, Enum):
+    """Supported export formats."""
+
+    JSON = "json"
+    CSV = "csv"
+    PARQUET = "parquet"
+
+
+class BackupExporter:
+    """Export database to multiple formats."""
+
+    def __init__(self, db_path: str) -> None:
+        """Initialize the exporter.
+
+        Args:
+            db_path: Path to SQLite database
+        """
+        self.db_path = db_path
+
+    def export_all(
+        self,
+        output_dir: Path,
+        formats: list[ExportFormat] | None = None,
+        compress: bool = True,
+        incremental_since: datetime | None = None,
+    ) -> dict[ExportFormat, Path]:
+        """Export database to multiple formats.
+
+        Args:
+            output_dir: Directory to write export files
+            formats: List of formats to export (default: all)
+            compress: Whether to gzip compress exports
+            incremental_since: Only export records after this timestamp
+
+        Returns:
+            Dictionary mapping format to output file path
+        """
+        if formats is None:
+            formats = [ExportFormat.JSON, ExportFormat.CSV, ExportFormat.PARQUET]
+
+        output_dir.mkdir(parents=True, exist_ok=True)
+        timestamp = datetime.now(UTC).strftime("%Y%m%d_%H%M%S")
+
+        results: dict[ExportFormat, Path] = {}
+
+        for fmt in formats:
+            try:
+                output_file = self._export_format(
+                    fmt, output_dir, timestamp, compress, incremental_since
+                )
+                results[fmt] = output_file
+                logger.info("Exported to %s: %s", fmt.value, output_file)
+            except Exception as exc:
+                logger.error("Failed to export to %s: %s", fmt.value, exc)
+
+        return results
+
+    def _export_format(
+        self,
+        fmt: ExportFormat,
+        output_dir: Path,
+        timestamp: str,
+        compress: bool,
+        incremental_since: datetime | None,
+    ) -> Path:
+        """Export to a specific format.
+
+        Args:
+            fmt: Export format
+            output_dir: Output directory
+            timestamp: Timestamp string for filename
+            compress: Whether to compress
+            incremental_since: Incremental export cutoff
+
+        Returns:
+            Path to output file
+        """
+        if fmt == ExportFormat.JSON:
+            return self._export_json(output_dir, timestamp, compress, incremental_since)
+        elif fmt == ExportFormat.CSV:
+            return self._export_csv(output_dir, timestamp, compress, incremental_since)
+        elif fmt == ExportFormat.PARQUET:
+            return self._export_parquet(
+                output_dir, timestamp, compress, incremental_since
+            )
+        else:
+            raise ValueError(f"Unsupported format: {fmt}")
+
+    def _get_trades(
+        self, incremental_since: datetime | None = None
+    ) -> list[dict[str, Any]]:
+        """Fetch trades from database.
+
+        Args:
+            incremental_since: Only fetch trades after this timestamp
+
+        Returns:
+            List of trade records
+        """
+        conn = sqlite3.connect(self.db_path)
+        conn.row_factory = sqlite3.Row
+
+        if incremental_since:
+            cursor = conn.execute(
+                "SELECT * FROM trades WHERE timestamp > ?",
+                (incremental_since.isoformat(),),
+            )
+        else:
+            cursor = conn.execute("SELECT * FROM trades")
+
+        trades = [dict(row) for row in cursor.fetchall()]
+        conn.close()
+
+        return trades
+
+    def _export_json(
+        self,
+        output_dir: Path,
+        timestamp: str,
+        compress: bool,
+        incremental_since: datetime | None,
+    ) -> Path:
+        """Export to JSON format.
+
+        Args:
+            output_dir: Output directory
+            timestamp: Timestamp for filename
+            compress: Whether to gzip
+            incremental_since: Incremental cutoff
+
+        Returns:
+            Path to output file
+        """
+        trades = self._get_trades(incremental_since)
+
+        filename = f"trades_{timestamp}.json"
+        if compress:
+            filename += ".gz"
+
+        output_file = output_dir / filename
+
+        data = {
+            "export_timestamp": datetime.now(UTC).isoformat(),
+            "incremental_since": (
+                incremental_since.isoformat() if incremental_since else None
+            ),
+            "record_count": len(trades),
+            "trades": trades,
+        }
+
+        if compress:
+            with gzip.open(output_file, "wt", encoding="utf-8") as f:
+                json.dump(data, f, indent=2, ensure_ascii=False)
+        else:
+            with open(output_file, "w", encoding="utf-8") as f:
+                json.dump(data, f, indent=2, ensure_ascii=False)
+
+        return output_file
+
+    def _export_csv(
+        self,
+        output_dir: Path,
+        timestamp: str,
+        compress: bool,
+        incremental_since: datetime | None,
+    ) -> Path:
+        """Export to CSV format.
+
+        Args:
+            output_dir: Output directory
+            timestamp: Timestamp for filename
+            compress: Whether to gzip
+            incremental_since: Incremental cutoff
+
+        Returns:
+            Path to output file
+        """
+        trades = self._get_trades(incremental_since)
+
+        filename = f"trades_{timestamp}.csv"
+        if compress:
+            filename += ".gz"
+
+        output_file = output_dir / filename
+
+        if not trades:
+            # Write empty CSV with headers
+            if compress:
+                with gzip.open(output_file, "wt", encoding="utf-8", newline="") as f:
+                    writer = csv.writer(f)
+                    writer.writerow(
+                        [
+                            "timestamp",
+                            "stock_code",
+                            "action",
+                            "quantity",
+                            "price",
+                            "confidence",
+                            "rationale",
+                            "pnl",
+                        ]
+                    )
+            else:
+                with open(output_file, "w", encoding="utf-8", newline="") as f:
+                    writer = csv.writer(f)
+                    writer.writerow(
+                        [
+                            "timestamp",
+                            "stock_code",
+                            "action",
+                            "quantity",
+                            "price",
+                            "confidence",
+                            "rationale",
+                            "pnl",
+                        ]
+                    )
+            return output_file
+
+        # Get column names from first trade
+        fieldnames = list(trades[0].keys())
+
+        if compress:
+            with gzip.open(output_file, "wt", encoding="utf-8", newline="") as f:
+                writer = csv.DictWriter(f, fieldnames=fieldnames)
+                writer.writeheader()
+                writer.writerows(trades)
+        else:
+            with open(output_file, "w", encoding="utf-8", newline="") as f:
+                writer = csv.DictWriter(f, fieldnames=fieldnames)
+                writer.writeheader()
+                writer.writerows(trades)
+
+        return output_file
+
+    def _export_parquet(
+        self,
+        output_dir: Path,
+        timestamp: str,
+        compress: bool,
+        incremental_since: datetime | None,
+    ) -> Path:
+        """Export to Parquet format.
+
+        Args:
+            output_dir: Output directory
+            timestamp: Timestamp for filename
+            compress: Whether to compress (Parquet has built-in compression)
+            incremental_since: Incremental cutoff
+
+        Returns:
+            Path to output file
+        """
+        trades = self._get_trades(incremental_since)
+
+        filename = f"trades_{timestamp}.parquet"
+        output_file = output_dir / filename
+
+        try:
+            import pyarrow as pa
+            import pyarrow.parquet as pq
+        except ImportError:
+            raise ImportError(
+                "pyarrow is required for Parquet export. "
+                "Install with: pip install pyarrow"
+            )
+
+        # Convert to pyarrow table
+        table = pa.Table.from_pylist(trades)
+
+        # Write with compression
+        compression = "gzip" if compress else "none"
+        pq.write_table(table, output_file, compression=compression)
+
+        return output_file
+
+    def get_export_stats(self) -> dict[str, Any]:
+        """Get statistics about exportable data.
+
+        Returns:
+            Dictionary with data statistics
+        """
+        conn = sqlite3.connect(self.db_path)
+        cursor = conn.cursor()
+
+        stats = {}
+
+        # Total trades
+        cursor.execute("SELECT COUNT(*) FROM trades")
+        stats["total_trades"] = cursor.fetchone()[0]
+
+        # Date range
+        cursor.execute("SELECT MIN(timestamp), MAX(timestamp) FROM trades")
+        min_date, max_date = cursor.fetchone()
+        stats["date_range"] = {"earliest": min_date, "latest": max_date}
+
+        # Database size
+        cursor.execute("SELECT page_count * page_size FROM pragma_page_count(), pragma_page_size()")
+        stats["db_size_bytes"] = cursor.fetchone()[0]
+
+        conn.close()
+
+        return stats

src/backup/health_monitor.py

@@ -0,0 +1,282 @@
+"""Health monitoring for backup system.
+
+Checks:
+- Database accessibility and integrity
+- Disk space availability
+- Backup success/failure tracking
+- Self-healing capabilities
+"""
+
+from __future__ import annotations
+
+import logging
+import shutil
+import sqlite3
+from dataclasses import dataclass
+from datetime import UTC, datetime, timedelta
+from enum import Enum
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+class HealthStatus(str, Enum):
+    """Health check status."""
+
+    HEALTHY = "healthy"
+    DEGRADED = "degraded"
+    UNHEALTHY = "unhealthy"
+
+
+@dataclass
+class HealthCheckResult:
+    """Result of a health check."""
+
+    status: HealthStatus
+    message: str
+    details: dict[str, Any] | None = None
+    timestamp: datetime | None = None
+
+    def __post_init__(self) -> None:
+        if self.timestamp is None:
+            self.timestamp = datetime.now(UTC)
+
+
+class HealthMonitor:
+    """Monitor system health and backup status."""
+
+    def __init__(
+        self,
+        db_path: str,
+        backup_dir: Path,
+        min_disk_space_gb: float = 10.0,
+        max_backup_age_hours: int = 25,  # Daily backups should be < 25 hours old
+    ) -> None:
+        """Initialize health monitor.
+
+        Args:
+            db_path: Path to SQLite database
+            backup_dir: Backup directory
+            min_disk_space_gb: Minimum required disk space in GB
+            max_backup_age_hours: Maximum acceptable backup age in hours
+        """
+        self.db_path = Path(db_path)
+        self.backup_dir = backup_dir
+        self.min_disk_space_bytes = int(min_disk_space_gb * 1024 * 1024 * 1024)
+        self.max_backup_age = timedelta(hours=max_backup_age_hours)
+
+    def check_database_health(self) -> HealthCheckResult:
+        """Check database accessibility and integrity.
+
+        Returns:
+            HealthCheckResult
+        """
+        # Check if database exists
+        if not self.db_path.exists():
+            return HealthCheckResult(
+                status=HealthStatus.UNHEALTHY,
+                message=f"Database not found: {self.db_path}",
+            )
+
+        # Check if database is accessible
+        try:
+            conn = sqlite3.connect(str(self.db_path))
+            cursor = conn.cursor()
+
+            # Run integrity check
+            cursor.execute("PRAGMA integrity_check")
+            result = cursor.fetchone()[0]
+
+            if result != "ok":
+                conn.close()
+                return HealthCheckResult(
+                    status=HealthStatus.UNHEALTHY,
+                    message=f"Database integrity check failed: {result}",
+                )
+
+            # Get database size
+            cursor.execute(
+                "SELECT page_count * page_size FROM pragma_page_count(), pragma_page_size()"
+            )
+            db_size = cursor.fetchone()[0]
+
+            # Get row counts
+            cursor.execute("SELECT COUNT(*) FROM trades")
+            trade_count = cursor.fetchone()[0]
+
+            conn.close()
+
+            return HealthCheckResult(
+                status=HealthStatus.HEALTHY,
+                message="Database is healthy",
+                details={
+                    "size_bytes": db_size,
+                    "size_mb": db_size / 1024 / 1024,
+                    "trade_count": trade_count,
+                },
+            )
+
+        except sqlite3.Error as exc:
+            return HealthCheckResult(
+                status=HealthStatus.UNHEALTHY,
+                message=f"Database access error: {exc}",
+            )
+
+    def check_disk_space(self) -> HealthCheckResult:
+        """Check available disk space.
+
+        Returns:
+            HealthCheckResult
+        """
+        try:
+            stat = shutil.disk_usage(self.backup_dir)
+
+            free_gb = stat.free / 1024 / 1024 / 1024
+            total_gb = stat.total / 1024 / 1024 / 1024
+            used_percent = (stat.used / stat.total) * 100
+
+            if stat.free < self.min_disk_space_bytes:
+                return HealthCheckResult(
+                    status=HealthStatus.UNHEALTHY,
+                    message=f"Low disk space: {free_gb:.2f} GB free (minimum: {self.min_disk_space_bytes / 1024 / 1024 / 1024:.2f} GB)",
+                    details={
+                        "free_gb": free_gb,
+                        "total_gb": total_gb,
+                        "used_percent": used_percent,
+                    },
+                )
+            elif stat.free < self.min_disk_space_bytes * 2:
+                return HealthCheckResult(
+                    status=HealthStatus.DEGRADED,
+                    message=f"Disk space low: {free_gb:.2f} GB free",
+                    details={
+                        "free_gb": free_gb,
+                        "total_gb": total_gb,
+                        "used_percent": used_percent,
+                    },
+                )
+            else:
+                return HealthCheckResult(
+                    status=HealthStatus.HEALTHY,
+                    message=f"Disk space healthy: {free_gb:.2f} GB free",
+                    details={
+                        "free_gb": free_gb,
+                        "total_gb": total_gb,
+                        "used_percent": used_percent,
+                    },
+                )
+
+        except Exception as exc:
+            return HealthCheckResult(
+                status=HealthStatus.UNHEALTHY,
+                message=f"Failed to check disk space: {exc}",
+            )
+
+    def check_backup_recency(self) -> HealthCheckResult:
+        """Check if backups are recent enough.
+
+        Returns:
+            HealthCheckResult
+        """
+        daily_dir = self.backup_dir / "daily"
+
+        if not daily_dir.exists():
+            return HealthCheckResult(
+                status=HealthStatus.DEGRADED,
+                message="Daily backup directory not found",
+            )
+
+        # Find most recent backup
+        backups = sorted(daily_dir.glob("*.db"), key=lambda p: p.stat().st_mtime, reverse=True)
+
+        if not backups:
+            return HealthCheckResult(
+                status=HealthStatus.UNHEALTHY,
+                message="No daily backups found",
+            )
+
+        most_recent = backups[0]
+        mtime = datetime.fromtimestamp(most_recent.stat().st_mtime, tz=UTC)
+        age = datetime.now(UTC) - mtime
+
+        if age > self.max_backup_age:
+            return HealthCheckResult(
+                status=HealthStatus.DEGRADED,
+                message=f"Most recent backup is {age.total_seconds() / 3600:.1f} hours old",
+                details={
+                    "backup_file": most_recent.name,
+                    "age_hours": age.total_seconds() / 3600,
+                    "threshold_hours": self.max_backup_age.total_seconds() / 3600,
+                },
+            )
+        else:
+            return HealthCheckResult(
+                status=HealthStatus.HEALTHY,
+                message=f"Recent backup found ({age.total_seconds() / 3600:.1f} hours old)",
+                details={
+                    "backup_file": most_recent.name,
+                    "age_hours": age.total_seconds() / 3600,
+                },
+            )
+
+    def run_all_checks(self) -> dict[str, HealthCheckResult]:
+        """Run all health checks.
+
+        Returns:
+            Dictionary mapping check name to result
+        """
+        checks = {
+            "database": self.check_database_health(),
+            "disk_space": self.check_disk_space(),
+            "backup_recency": self.check_backup_recency(),
+        }
+
+        # Log results
+        for check_name, result in checks.items():
+            if result.status == HealthStatus.UNHEALTHY:
+                logger.error("[%s] %s: %s", check_name, result.status.value, result.message)
+            elif result.status == HealthStatus.DEGRADED:
+                logger.warning("[%s] %s: %s", check_name, result.status.value, result.message)
+            else:
+                logger.info("[%s] %s: %s", check_name, result.status.value, result.message)
+
+        return checks
+
+    def get_overall_status(self) -> HealthStatus:
+        """Get overall system health status.
+
+        Returns:
+            HealthStatus (worst status from all checks)
+        """
+        checks = self.run_all_checks()
+
+        # Return worst status
+        if any(c.status == HealthStatus.UNHEALTHY for c in checks.values()):
+            return HealthStatus.UNHEALTHY
+        elif any(c.status == HealthStatus.DEGRADED for c in checks.values()):
+            return HealthStatus.DEGRADED
+        else:
+            return HealthStatus.HEALTHY
+
+    def get_health_report(self) -> dict[str, Any]:
+        """Get comprehensive health report.
+
+        Returns:
+            Dictionary with health report
+        """
+        checks = self.run_all_checks()
+        overall = self.get_overall_status()
+
+        return {
+            "overall_status": overall.value,
+            "timestamp": datetime.now(UTC).isoformat(),
+            "checks": {
+                name: {
+                    "status": result.status.value,
+                    "message": result.message,
+                    "details": result.details,
+                }
+                for name, result in checks.items()
+            },
+        }

src/backup/scheduler.py

@@ -0,0 +1,336 @@
+"""Backup scheduler for automated database backups.
+
+Implements backup policies:
+- Daily: Keep for 30 days (hot storage)
+- Weekly: Keep for 1 year (warm storage)
+- Monthly: Keep forever (cold storage)
+"""
+
+from __future__ import annotations
+
+import logging
+import shutil
+from dataclasses import dataclass
+from datetime import UTC, datetime, timedelta
+from enum import Enum
+from pathlib import Path
+from typing import Any
+
+logger = logging.getLogger(__name__)
+
+
+class BackupPolicy(str, Enum):
+    """Backup retention policies."""
+
+    DAILY = "daily"
+    WEEKLY = "weekly"
+    MONTHLY = "monthly"
+
+
+@dataclass
+class BackupMetadata:
+    """Metadata for a backup."""
+
+    timestamp: datetime
+    policy: BackupPolicy
+    file_path: Path
+    size_bytes: int
+    checksum: str | None = None
+
+
+class BackupScheduler:
+    """Manage automated database backups with retention policies."""
+
+    def __init__(
+        self,
+        db_path: str,
+        backup_dir: Path,
+        daily_retention_days: int = 30,
+        weekly_retention_days: int = 365,
+    ) -> None:
+        """Initialize the backup scheduler.
+
+        Args:
+            db_path: Path to SQLite database
+            backup_dir: Root directory for backups
+            daily_retention_days: Days to keep daily backups
+            weekly_retention_days: Days to keep weekly backups
+        """
+        self.db_path = Path(db_path)
+        self.backup_dir = backup_dir
+        self.daily_retention = timedelta(days=daily_retention_days)
+        self.weekly_retention = timedelta(days=weekly_retention_days)
+
+        # Create policy-specific directories
+        self.daily_dir = backup_dir / "daily"
+        self.weekly_dir = backup_dir / "weekly"
+        self.monthly_dir = backup_dir / "monthly"
+
+        for d in [self.daily_dir, self.weekly_dir, self.monthly_dir]:
+            d.mkdir(parents=True, exist_ok=True)
+
+    def create_backup(
+        self, policy: BackupPolicy, verify: bool = True
+    ) -> BackupMetadata:
+        """Create a database backup.
+
+        Args:
+            policy: Backup policy (daily/weekly/monthly)
+            verify: Whether to verify backup integrity
+
+        Returns:
+            BackupMetadata object
+
+        Raises:
+            FileNotFoundError: If database doesn't exist
+            OSError: If backup fails
+        """
+        if not self.db_path.exists():
+            raise FileNotFoundError(f"Database not found: {self.db_path}")
+
+        timestamp = datetime.now(UTC)
+        backup_filename = self._get_backup_filename(timestamp, policy)
+
+        # Determine output directory
+        if policy == BackupPolicy.DAILY:
+            output_dir = self.daily_dir
+        elif policy == BackupPolicy.WEEKLY:
+            output_dir = self.weekly_dir
+        else:  # MONTHLY
+            output_dir = self.monthly_dir
+
+        backup_path = output_dir / backup_filename
+
+        # Create backup (copy database file)
+        logger.info("Creating %s backup: %s", policy.value, backup_path)
+        shutil.copy2(self.db_path, backup_path)
+
+        # Get file size
+        size_bytes = backup_path.stat().st_size
+
+        # Verify backup if requested
+        checksum = None
+        if verify:
+            checksum = self._verify_backup(backup_path)
+
+        metadata = BackupMetadata(
+            timestamp=timestamp,
+            policy=policy,
+            file_path=backup_path,
+            size_bytes=size_bytes,
+            checksum=checksum,
+        )
+
+        logger.info(
+            "Backup created: %s (%.2f MB)",
+            backup_path.name,
+            size_bytes / 1024 / 1024,
+        )
+
+        return metadata
+
+    def _get_backup_filename(self, timestamp: datetime, policy: BackupPolicy) -> str:
+        """Generate backup filename.
+
+        Args:
+            timestamp: Backup timestamp
+            policy: Backup policy
+
+        Returns:
+            Filename string
+        """
+        ts_str = timestamp.strftime("%Y%m%d_%H%M%S")
+        return f"trade_logs_{policy.value}_{ts_str}.db"
+
+    def _verify_backup(self, backup_path: Path) -> str:
+        """Verify backup integrity using SQLite integrity check.
+
+        Args:
+            backup_path: Path to backup file
+
+        Returns:
+            Checksum string (MD5 hash)
+
+        Raises:
+            RuntimeError: If integrity check fails
+        """
+        import hashlib
+        import sqlite3
+
+        # Integrity check
+        try:
+            conn = sqlite3.connect(str(backup_path))
+            cursor = conn.cursor()
+            cursor.execute("PRAGMA integrity_check")
+            result = cursor.fetchone()[0]
+            conn.close()
+
+            if result != "ok":
+                raise RuntimeError(f"Integrity check failed: {result}")
+        except sqlite3.Error as exc:
+            raise RuntimeError(f"Failed to verify backup: {exc}")
+
+        # Calculate MD5 checksum
+        md5 = hashlib.md5()
+        with open(backup_path, "rb") as f:
+            for chunk in iter(lambda: f.read(8192), b""):
+                md5.update(chunk)
+
+        return md5.hexdigest()
+
+    def cleanup_old_backups(self) -> dict[BackupPolicy, int]:
+        """Remove backups older than retention policies.
+
+        Returns:
+            Dictionary mapping policy to number of backups removed
+        """
+        now = datetime.now(UTC)
+        removed_counts: dict[BackupPolicy, int] = {}
+
+        # Daily backups: remove older than retention
+        removed_counts[BackupPolicy.DAILY] = self._cleanup_directory(
+            self.daily_dir, now - self.daily_retention
+        )
+
+        # Weekly backups: remove older than retention
+        removed_counts[BackupPolicy.WEEKLY] = self._cleanup_directory(
+            self.weekly_dir, now - self.weekly_retention
+        )
+
+        # Monthly backups: never remove (kept forever)
+        removed_counts[BackupPolicy.MONTHLY] = 0
+
+        total = sum(removed_counts.values())
+        if total > 0:
+            logger.info("Cleaned up %d old backup(s)", total)
+
+        return removed_counts
+
+    def _cleanup_directory(self, directory: Path, cutoff: datetime) -> int:
+        """Remove backups older than cutoff date.
+
+        Args:
+            directory: Directory to clean
+            cutoff: Remove files older than this
+
+        Returns:
+            Number of files removed
+        """
+        removed = 0
+
+        for backup_file in directory.glob("*.db"):
+            # Get file modification time
+            mtime = datetime.fromtimestamp(backup_file.stat().st_mtime, tz=UTC)
+
+            if mtime < cutoff:
+                logger.debug("Removing old backup: %s", backup_file.name)
+                backup_file.unlink()
+                removed += 1
+
+        return removed
+
+    def list_backups(
+        self, policy: BackupPolicy | None = None
+    ) -> list[BackupMetadata]:
+        """List available backups.
+
+        Args:
+            policy: Filter by policy (None for all)
+
+        Returns:
+            List of BackupMetadata objects
+        """
+        backups: list[BackupMetadata] = []
+
+        policies_to_check = (
+            [policy] if policy else [BackupPolicy.DAILY, BackupPolicy.WEEKLY, BackupPolicy.MONTHLY]
+        )
+
+        for pol in policies_to_check:
+            if pol == BackupPolicy.DAILY:
+                directory = self.daily_dir
+            elif pol == BackupPolicy.WEEKLY:
+                directory = self.weekly_dir
+            else:
+                directory = self.monthly_dir
+
+            for backup_file in sorted(directory.glob("*.db")):
+                mtime = datetime.fromtimestamp(backup_file.stat().st_mtime, tz=UTC)
+                size = backup_file.stat().st_size
+
+                backups.append(
+                    BackupMetadata(
+                        timestamp=mtime,
+                        policy=pol,
+                        file_path=backup_file,
+                        size_bytes=size,
+                    )
+                )
+
+        # Sort by timestamp (newest first)
+        backups.sort(key=lambda b: b.timestamp, reverse=True)
+
+        return backups
+
+    def get_backup_stats(self) -> dict[str, Any]:
+        """Get backup statistics.
+
+        Returns:
+            Dictionary with backup stats
+        """
+        stats: dict[str, Any] = {}
+
+        for policy in BackupPolicy:
+            if policy == BackupPolicy.DAILY:
+                directory = self.daily_dir
+            elif policy == BackupPolicy.WEEKLY:
+                directory = self.weekly_dir
+            else:
+                directory = self.monthly_dir
+
+            backups = list(directory.glob("*.db"))
+            total_size = sum(b.stat().st_size for b in backups)
+
+            stats[policy.value] = {
+                "count": len(backups),
+                "total_size_bytes": total_size,
+                "total_size_mb": total_size / 1024 / 1024,
+            }
+
+        return stats
+
+    def restore_backup(self, backup_metadata: BackupMetadata, verify: bool = True) -> None:
+        """Restore database from backup.
+
+        Args:
+            backup_metadata: Backup to restore
+            verify: Whether to verify restored database
+
+        Raises:
+            FileNotFoundError: If backup file doesn't exist
+            RuntimeError: If verification fails
+        """
+        if not backup_metadata.file_path.exists():
+            raise FileNotFoundError(f"Backup not found: {backup_metadata.file_path}")
+
+        # Create backup of current database
+        if self.db_path.exists():
+            backup_current = self.db_path.with_suffix(".db.before_restore")
+            logger.info("Backing up current database to: %s", backup_current)
+            shutil.copy2(self.db_path, backup_current)
+
+        # Restore backup
+        logger.info("Restoring backup: %s", backup_metadata.file_path.name)
+        shutil.copy2(backup_metadata.file_path, self.db_path)
+
+        # Verify restored database
+        if verify:
+            try:
+                self._verify_backup(self.db_path)
+                logger.info("Backup restored and verified successfully")
+            except RuntimeError as exc:
+                # Restore failed, revert to backup
+                if backup_current.exists():
+                    logger.error("Restore verification failed, reverting: %s", exc)
+                    shutil.copy2(backup_current, self.db_path)
+                raise

src/broker/kis_api.py

@@ -55,6 +55,7 @@ class KISBroker:
         self._session: aiohttp.ClientSession | None = None
         self._access_token: str | None = None
         self._token_expires_at: float = 0.0
+        self._token_lock = asyncio.Lock()
         self._rate_limiter = LeakyBucket(settings.RATE_LIMIT_RPS)
 
     def _get_session(self) -> aiohttp.ClientSession:
@@ -80,30 +81,42 @@ class KISBroker:
     # ------------------------------------------------------------------
 
     async def _ensure_token(self) -> str:
-        """Return a valid access token, refreshing if expired."""
+        """Return a valid access token, refreshing if expired.
+
+        Uses a lock to prevent concurrent token refresh attempts that would
+        hit the API's 1-per-minute rate limit (EGW00133).
+        """
+        # Fast path: check without lock
         now = asyncio.get_event_loop().time()
         if self._access_token and now < self._token_expires_at:
             return self._access_token
 
-        logger.info("Refreshing KIS access token")
+        # Slow path: acquire lock and refresh
-        session = self._get_session()
+        async with self._token_lock:
-        url = f"{self._base_url}/oauth2/tokenP"
+            # Re-check after acquiring lock (another coroutine may have refreshed)
-        body = {
+            now = asyncio.get_event_loop().time()
-            "grant_type": "client_credentials",
+            if self._access_token and now < self._token_expires_at:
-            "appkey": self._app_key,
+                return self._access_token
-            "appsecret": self._app_secret,
-        }
 
-        async with session.post(url, json=body) as resp:
+            logger.info("Refreshing KIS access token")
-            if resp.status != 200:
+            session = self._get_session()
-                text = await resp.text()
+            url = f"{self._base_url}/oauth2/tokenP"
-                raise ConnectionError(f"Token refresh failed ({resp.status}): {text}")
+            body = {
-            data = await resp.json()
+                "grant_type": "client_credentials",
+                "appkey": self._app_key,
+                "appsecret": self._app_secret,
+            }
 
-        self._access_token = data["access_token"]
+            async with session.post(url, json=body) as resp:
-        self._token_expires_at = now + data.get("expires_in", 86400) - 60  # 1-min buffer
+                if resp.status != 200:
-        logger.info("Token refreshed successfully")
+                    text = await resp.text()
-        return self._access_token
+                    raise ConnectionError(f"Token refresh failed ({resp.status}): {text}")
+                data = await resp.json()
+
+            self._access_token = data["access_token"]
+            self._token_expires_at = now + data.get("expires_in", 86400) - 60  # 1-min buffer
+            logger.info("Token refreshed successfully")
+            return self._access_token
 
     # ------------------------------------------------------------------
     # Hash Key (required for POST bodies)

src/config.py

@@ -24,6 +24,10 @@ class Settings(BaseSettings):
     NEWS_API_PROVIDER: str = "alphavantage"  # "alphavantage" or "newsapi"
     MARKET_DATA_API_KEY: str | None = None
 
+    # Legacy field names (for backward compatibility)
+    ALPHA_VANTAGE_API_KEY: str | None = None
+    NEWSAPI_KEY: str | None = None
+
     # Risk Management
     CIRCUIT_BREAKER_PCT: float = Field(default=-3.0, le=0.0)
     FAT_FINGER_PCT: float = Field(default=30.0, gt=0.0, le=100.0)
@@ -33,7 +37,8 @@ class Settings(BaseSettings):
     DB_PATH: str = "data/trade_logs.db"
 
     # Rate Limiting (requests per second for KIS API)
-    RATE_LIMIT_RPS: float = 10.0
+    # Reduced to 5.0 to avoid EGW00201 "초당 거래건수 초과" errors
+    RATE_LIMIT_RPS: float = 5.0
 
     # Trading mode
     MODE: str = Field(default="paper", pattern="^(paper|live)$")
@@ -41,6 +46,20 @@ class Settings(BaseSettings):
     # Market selection (comma-separated market codes)
     ENABLED_MARKETS: str = "KR"
 
+    # Backup and Disaster Recovery (optional)
+    BACKUP_ENABLED: bool = True
+    BACKUP_DIR: str = "data/backups"
+    S3_ENDPOINT_URL: str | None = None  # For MinIO, Backblaze B2, etc.
+    S3_ACCESS_KEY: str | None = None
+    S3_SECRET_KEY: str | None = None
+    S3_BUCKET_NAME: str | None = None
+    S3_REGION: str = "us-east-1"
+
+    # Telegram Notifications (optional)
+    TELEGRAM_BOT_TOKEN: str | None = None
+    TELEGRAM_CHAT_ID: str | None = None
+    TELEGRAM_ENABLED: bool = True
+
     model_config = {"env_file": ".env", "env_file_encoding": "utf-8"}
 
     @property

src/main.py

@@ -10,6 +10,7 @@ import argparse
 import asyncio
 import logging
 import signal
+import sys
 from datetime import UTC, datetime
 from typing import Any
 
@@ -23,14 +24,44 @@ from src.context.layer import ContextLayer
 from src.context.store import ContextStore
 from src.core.criticality import CriticalityAssessor
 from src.core.priority_queue import PriorityTaskQueue
-from src.core.risk_manager import CircuitBreakerTripped, RiskManager
+from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected, RiskManager
 from src.db import init_db, log_trade
 from src.logging.decision_logger import DecisionLogger
 from src.logging_config import setup_logging
 from src.markets.schedule import MarketInfo, get_next_market_open, get_open_markets
+from src.notifications.telegram_client import TelegramClient
 
 logger = logging.getLogger(__name__)
 
+
+def safe_float(value: str | float | None, default: float = 0.0) -> float:
+    """Convert to float, handling empty strings and None.
+
+    Args:
+        value: Value to convert (string, float, or None)
+        default: Default value if conversion fails
+
+    Returns:
+        Converted float or default value
+
+    Examples:
+        >>> safe_float("123.45")
+        123.45
+        >>> safe_float("")
+        0.0
+        >>> safe_float(None)
+        0.0
+        >>> safe_float("invalid", 99.0)
+        99.0
+    """
+    if value is None or value == "":
+        return default
+    try:
+        return float(value)
+    except (ValueError, TypeError):
+        return default
+
+
 # Target stock codes to monitor per market
 WATCHLISTS = {
     "KR": ["005930", "000660", "035420"],  # Samsung, SK Hynix, NAVER
@@ -62,6 +93,7 @@ async def trading_cycle(
     decision_logger: DecisionLogger,
     context_store: ContextStore,
     criticality_assessor: CriticalityAssessor,
+    telegram: TelegramClient,
     market: MarketInfo,
     stock_code: str,
 ) -> None:
@@ -74,16 +106,16 @@ async def trading_cycle(
         balance_data = await broker.get_balance()
 
         output2 = balance_data.get("output2", [{}])
-        total_eval = float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
+        total_eval = safe_float(output2[0].get("tot_evlu_amt", "0")) if output2 else 0
-        total_cash = float(
+        total_cash = safe_float(
             balance_data.get("output2", [{}])[0].get("dnca_tot_amt", "0")
             if output2
             else "0"
         )
-        purchase_total = float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
+        purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
 
-        current_price = float(orderbook.get("output1", {}).get("stck_prpr", "0"))
+        current_price = safe_float(orderbook.get("output1", {}).get("stck_prpr", "0"))
-        foreigner_net = float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
+        foreigner_net = safe_float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
     else:
         # Overseas market
         price_data = await overseas_broker.get_overseas_price(
@@ -92,11 +124,19 @@ async def trading_cycle(
         balance_data = await overseas_broker.get_overseas_balance(market.exchange_code)
 
         output2 = balance_data.get("output2", [{}])
-        total_eval = float(output2[0].get("frcr_evlu_tota", "0")) if output2 else 0
+        # Handle both list and dict response formats
-        total_cash = float(output2[0].get("frcr_dncl_amt_2", "0")) if output2 else 0
+        if isinstance(output2, list) and output2:
-        purchase_total = float(output2[0].get("frcr_buy_amt_smtl", "0")) if output2 else 0
+            balance_info = output2[0]
+        elif isinstance(output2, dict):
+            balance_info = output2
+        else:
+            balance_info = {}
 
-        current_price = float(price_data.get("output", {}).get("last", "0"))
+        total_eval = safe_float(balance_info.get("frcr_evlu_tota", "0") or "0")
+        total_cash = safe_float(balance_info.get("frcr_dncl_amt_2", "0") or "0")
+        purchase_total = safe_float(balance_info.get("frcr_buy_amt_smtl", "0") or "0")
+
+        current_price = safe_float(price_data.get("output", {}).get("last", "0"))
         foreigner_net = 0.0  # Not available for overseas
 
     # Calculate daily P&L %
@@ -199,11 +239,23 @@ async def trading_cycle(
         order_amount = current_price * quantity
 
         # 4. Risk check BEFORE order
-        risk.validate_order(
+        try:
-            current_pnl_pct=pnl_pct,
+            risk.validate_order(
-            order_amount=order_amount,
+                current_pnl_pct=pnl_pct,
-            total_cash=total_cash,
+                order_amount=order_amount,
-        )
+                total_cash=total_cash,
+            )
+        except FatFingerRejected as exc:
+            try:
+                await telegram.notify_fat_finger(
+                    stock_code=stock_code,
+                    order_amount=exc.order_amount,
+                    total_cash=exc.total_cash,
+                    max_pct=exc.max_pct,
+                )
+            except Exception as notify_exc:
+                logger.warning("Fat finger notification failed: %s", notify_exc)
+            raise  # Re-raise to prevent trade
 
         # 5. Send order
         if market.is_domestic:
@@ -223,6 +275,19 @@ async def trading_cycle(
             )
         logger.info("Order result: %s", result.get("msg1", "OK"))
 
+        # 5.5. Notify trade execution
+        try:
+            await telegram.notify_trade_execution(
+                stock_code=stock_code,
+                market=market.name,
+                action=decision.action,
+                quantity=quantity,
+                price=current_price,
+                confidence=decision.confidence,
+            )
+        except Exception as exc:
+            logger.warning("Telegram notification failed: %s", exc)
+
     # 6. Log trade
     log_trade(
         conn=db_conn,
@@ -266,6 +331,13 @@ async def run(settings: Settings) -> None:
     decision_logger = DecisionLogger(db_conn)
     context_store = ContextStore(db_conn)
 
+    # Initialize Telegram notifications
+    telegram = TelegramClient(
+        bot_token=settings.TELEGRAM_BOT_TOKEN,
+        chat_id=settings.TELEGRAM_CHAT_ID,
+        enabled=settings.TELEGRAM_ENABLED,
+    )
+
     # Initialize volatility hunter
     volatility_analyzer = VolatilityAnalyzer(min_volume_surge=2.0, min_price_change=1.0)
     market_scanner = MarketScanner(
@@ -289,6 +361,9 @@ async def run(settings: Settings) -> None:
     # Track last scan time for each market
     last_scan_time: dict[str, float] = {}
 
+    # Track market open/close state for notifications
+    _market_states: dict[str, bool] = {}  # market_code -> is_open
+
     shutdown = asyncio.Event()
 
     def _signal_handler() -> None:
@@ -302,12 +377,31 @@ async def run(settings: Settings) -> None:
     logger.info("The Ouroboros is alive. Mode: %s", settings.MODE)
     logger.info("Enabled markets: %s", settings.enabled_market_list)
 
+    # Notify system startup
+    try:
+        await telegram.notify_system_start(settings.MODE, settings.enabled_market_list)
+    except Exception as exc:
+        logger.warning("System startup notification failed: %s", exc)
+
     try:
         while not shutdown.is_set():
             # Get currently open markets
             open_markets = get_open_markets(settings.enabled_market_list)
 
             if not open_markets:
+                # Notify market close for any markets that were open
+                for market_code, is_open in list(_market_states.items()):
+                    if is_open:
+                        try:
+                            from src.markets.schedule import MARKETS
+
+                            market_info = MARKETS.get(market_code)
+                            if market_info:
+                                await telegram.notify_market_close(market_info.name, 0.0)
+                        except Exception as exc:
+                            logger.warning("Market close notification failed: %s", exc)
+                        _market_states[market_code] = False
+
                 # No markets open — wait until next market opens
                 try:
                     next_market, next_open_time = get_next_market_open(
@@ -333,6 +427,14 @@ async def run(settings: Settings) -> None:
                 if shutdown.is_set():
                     break
 
+                # Notify market open if it just opened
+                if not _market_states.get(market.code, False):
+                    try:
+                        await telegram.notify_market_open(market.name)
+                    except Exception as exc:
+                        logger.warning("Market open notification failed: %s", exc)
+                    _market_states[market.code] = True
+
                 # Volatility Hunter: Scan market periodically to update watchlist
                 now_timestamp = asyncio.get_event_loop().time()
                 last_scan = last_scan_time.get(market.code, 0.0)
@@ -391,12 +493,22 @@ async def run(settings: Settings) -> None:
                                 decision_logger,
                                 context_store,
                                 criticality_assessor,
+                                telegram,
                                 market,
                                 stock_code,
                             )
                             break  # Success — exit retry loop
-                        except CircuitBreakerTripped:
+                        except CircuitBreakerTripped as exc:
                             logger.critical("Circuit breaker tripped — shutting down")
+                            try:
+                                await telegram.notify_circuit_breaker(
+                                    pnl_pct=exc.pnl_pct,
+                                    threshold=exc.threshold,
+                                )
+                            except Exception as notify_exc:
+                                logger.warning(
+                                    "Circuit breaker notification failed: %s", notify_exc
+                                )
                             raise
                         except ConnectionError as exc:
                             if attempt < MAX_CONNECTION_RETRIES:
@@ -437,7 +549,9 @@ async def run(settings: Settings) -> None:
             except TimeoutError:
                 pass  # Normal — timeout means it's time for next cycle
     finally:
+        # Clean up resources
         await broker.close()
+        await telegram.close()
         db_conn.close()
         logger.info("The Ouroboros rests.")
 

src/notifications/README.md

@@ -0,0 +1,213 @@
+# Telegram Notifications
+
+Real-time trading event notifications via Telegram Bot API.
+
+## Setup
+
+### 1. Create a Telegram Bot
+
+1. Open Telegram and message [@BotFather](https://t.me/BotFather)
+2. Send `/newbot` command
+3. Follow prompts to name your bot
+4. Save the **bot token** (looks like `1234567890:ABCdefGHIjklMNOpqrsTUVwxyz`)
+
+### 2. Get Your Chat ID
+
+**Option A: Using @userinfobot**
+1. Message [@userinfobot](https://t.me/userinfobot) on Telegram
+2. Send `/start`
+3. Save your numeric **chat ID** (e.g., `123456789`)
+
+**Option B: Using @RawDataBot**
+1. Message [@RawDataBot](https://t.me/rawdatabot) on Telegram
+2. Look for `"id":` in the JSON response
+3. Save your numeric **chat ID**
+
+### 3. Configure Environment
+
+Add to your `.env` file:
+
+```bash
+TELEGRAM_BOT_TOKEN=1234567890:ABCdefGHIjklMNOpqrsTUVwxyz
+TELEGRAM_CHAT_ID=123456789
+TELEGRAM_ENABLED=true
+```
+
+### 4. Test the Bot
+
+Start a conversation with your bot on Telegram first (send `/start`), then run:
+
+```bash
+python -m src.main --mode=paper
+```
+
+You should receive a startup notification.
+
+## Message Examples
+
+### Trade Execution
+```
+🟢 BUY
+Symbol: AAPL (United States)
+Quantity: 10 shares
+Price: 150.25
+Confidence: 85%
+```
+
+### Circuit Breaker
+```
+🚨 CIRCUIT BREAKER TRIPPED
+P&L: -3.15% (threshold: -3.0%)
+Trading halted for safety
+```
+
+### Fat-Finger Protection
+```
+⚠️ Fat-Finger Protection
+Order rejected: TSLA
+Attempted: 45.0% of cash
+Max allowed: 30%
+Amount: 45,000 / 100,000
+```
+
+### Market Open/Close
+```
+ℹ️ Market Open
+Korea trading session started
+
+ℹ️ Market Close
+Korea trading session ended
+📈 P&L: +1.25%
+```
+
+### System Status
+```
+📝 System Started
+Mode: PAPER
+Markets: KRX, NASDAQ
+
+System Shutdown
+Normal shutdown
+```
+
+## Notification Priorities
+
+| Priority | Emoji | Use Case |
+|----------|-------|----------|
+| LOW | ℹ️ | Market open/close |
+| MEDIUM | 📊 | Trade execution, system start/stop |
+| HIGH | ⚠️ | Fat-finger protection, errors |
+| CRITICAL | 🚨 | Circuit breaker trips |
+
+## Rate Limiting
+
+- Default: 1 message per second
+- Prevents hitting Telegram's global rate limits
+- Configurable via `rate_limit` parameter
+
+## Troubleshooting
+
+### No notifications received
+
+1. **Check bot configuration**
+   ```bash
+   # Verify env variables are set
+   grep TELEGRAM .env
+   ```
+
+2. **Start conversation with bot**
+   - Open bot in Telegram
+   - Send `/start` command
+   - Bot cannot message users who haven't started a conversation
+
+3. **Check logs**
+   ```bash
+   # Look for Telegram-related errors
+   python -m src.main --mode=paper 2>&1 | grep -i telegram
+   ```
+
+4. **Verify bot token**
+   ```bash
+   curl https://api.telegram.org/bot<YOUR_TOKEN>/getMe
+   # Should return bot info (not 401 error)
+   ```
+
+5. **Verify chat ID**
+   ```bash
+   curl -X POST https://api.telegram.org/bot<YOUR_TOKEN>/sendMessage \
+     -H 'Content-Type: application/json' \
+     -d '{"chat_id": "<YOUR_CHAT_ID>", "text": "Test"}'
+   # Should send a test message
+   ```
+
+### Notifications delayed
+
+- Check rate limiter settings
+- Verify network connection
+- Look for timeout errors in logs
+
+### "Chat not found" error
+
+- Incorrect chat ID
+- Bot blocked by user
+- Need to send `/start` to bot first
+
+### "Unauthorized" error
+
+- Invalid bot token
+- Token revoked (regenerate with @BotFather)
+
+## Graceful Degradation
+
+The system works without Telegram notifications:
+
+- Missing credentials → notifications disabled automatically
+- API errors → logged but trading continues
+- Network timeouts → trading loop unaffected
+- Rate limiting → messages queued, trading proceeds
+
+**Notifications never crash the trading system.**
+
+## Security Notes
+
+- Never commit `.env` file with credentials
+- Bot token grants full bot control
+- Chat ID is not sensitive (just a number)
+- Messages are sent over HTTPS
+- No trading credentials in notifications
+
+## Advanced Usage
+
+### Group Notifications
+
+1. Add bot to Telegram group
+2. Get group chat ID (negative number like `-123456789`)
+3. Use group chat ID in `TELEGRAM_CHAT_ID`
+
+### Multiple Recipients
+
+Create multiple bots or use a broadcast group with multiple members.
+
+### Custom Rate Limits
+
+Not currently exposed in config, but can be modified in code:
+
+```python
+telegram = TelegramClient(
+    bot_token=settings.TELEGRAM_BOT_TOKEN,
+    chat_id=settings.TELEGRAM_CHAT_ID,
+    rate_limit=2.0,  # 2 messages per second
+)
+```
+
+## API Reference
+
+See `telegram_client.py` for full API documentation.
+
+Key methods:
+- `notify_trade_execution()` - Trade alerts
+- `notify_circuit_breaker()` - Emergency stops
+- `notify_fat_finger()` - Order rejections
+- `notify_market_open/close()` - Session tracking
+- `notify_system_start/shutdown()` - Lifecycle events
+- `notify_error()` - Error alerts

src/notifications/__init__.py

@@ -0,0 +1,5 @@
+"""Real-time notifications for trading events."""
+
+from src.notifications.telegram_client import TelegramClient
+
+__all__ = ["TelegramClient"]

src/notifications/telegram_client.py

@@ -0,0 +1,325 @@
+"""Telegram notification client for real-time trading alerts."""
+
+import asyncio
+import logging
+import time
+from dataclasses import dataclass
+from enum import Enum
+
+import aiohttp
+
+logger = logging.getLogger(__name__)
+
+
+class NotificationPriority(Enum):
+    """Priority levels for notifications with emoji indicators."""
+
+    LOW = ("ℹ️", "info")
+    MEDIUM = ("📊", "medium")
+    HIGH = ("⚠️", "warning")
+    CRITICAL = ("🚨", "critical")
+
+    def __init__(self, emoji: str, label: str) -> None:
+        self.emoji = emoji
+        self.label = label
+
+
+class LeakyBucket:
+    """Rate limiter using leaky bucket algorithm."""
+
+    def __init__(self, rate: float, capacity: int = 1) -> None:
+        """
+        Initialize rate limiter.
+
+        Args:
+            rate: Maximum requests per second
+            capacity: Bucket capacity (burst size)
+        """
+        self._rate = rate
+        self._capacity = capacity
+        self._tokens = float(capacity)
+        self._last_update = time.monotonic()
+        self._lock = asyncio.Lock()
+
+    async def acquire(self) -> None:
+        """Wait until a token is available, then consume it."""
+        async with self._lock:
+            now = time.monotonic()
+            elapsed = now - self._last_update
+            self._tokens = min(self._capacity, self._tokens + elapsed * self._rate)
+            self._last_update = now
+
+            if self._tokens < 1.0:
+                wait_time = (1.0 - self._tokens) / self._rate
+                await asyncio.sleep(wait_time)
+                self._tokens = 0.0
+            else:
+                self._tokens -= 1.0
+
+
+@dataclass
+class NotificationMessage:
+    """Internal notification message structure."""
+
+    priority: NotificationPriority
+    message: str
+
+
+class TelegramClient:
+    """Telegram Bot API client for sending trading notifications."""
+
+    API_BASE = "https://api.telegram.org/bot{token}"
+    DEFAULT_TIMEOUT = 5.0  # seconds
+    DEFAULT_RATE = 1.0  # messages per second
+
+    def __init__(
+        self,
+        bot_token: str | None = None,
+        chat_id: str | None = None,
+        enabled: bool = True,
+        rate_limit: float = DEFAULT_RATE,
+    ) -> None:
+        """
+        Initialize Telegram client.
+
+        Args:
+            bot_token: Telegram bot token from @BotFather
+            chat_id: Target chat ID (user or group)
+            enabled: Enable/disable notifications globally
+            rate_limit: Maximum messages per second
+        """
+        self._bot_token = bot_token
+        self._chat_id = chat_id
+        self._enabled = enabled
+        self._rate_limiter = LeakyBucket(rate=rate_limit)
+        self._session: aiohttp.ClientSession | None = None
+
+        if not enabled:
+            logger.info("Telegram notifications disabled via configuration")
+        elif bot_token is None or chat_id is None:
+            logger.warning(
+                "Telegram notifications disabled (missing bot_token or chat_id)"
+            )
+            self._enabled = False
+        else:
+            logger.info("Telegram notifications enabled for chat_id=%s", chat_id)
+
+    def _get_session(self) -> aiohttp.ClientSession:
+        """Get or create aiohttp session."""
+        if self._session is None or self._session.closed:
+            self._session = aiohttp.ClientSession(
+                timeout=aiohttp.ClientTimeout(total=self.DEFAULT_TIMEOUT)
+            )
+        return self._session
+
+    async def close(self) -> None:
+        """Close HTTP session."""
+        if self._session is not None and not self._session.closed:
+            await self._session.close()
+
+    async def _send_notification(self, msg: NotificationMessage) -> None:
+        """
+        Send notification to Telegram with graceful degradation.
+
+        Args:
+            msg: Notification message to send
+        """
+        if not self._enabled:
+            return
+
+        try:
+            await self._rate_limiter.acquire()
+
+            formatted_message = f"{msg.priority.emoji} {msg.message}"
+            url = f"{self.API_BASE.format(token=self._bot_token)}/sendMessage"
+
+            payload = {
+                "chat_id": self._chat_id,
+                "text": formatted_message,
+                "parse_mode": "HTML",
+            }
+
+            session = self._get_session()
+            async with session.post(url, json=payload) as resp:
+                if resp.status != 200:
+                    error_text = await resp.text()
+                    logger.error(
+                        "Telegram API error (status=%d): %s", resp.status, error_text
+                    )
+                else:
+                    logger.debug("Telegram notification sent: %s", msg.message[:50])
+
+        except asyncio.TimeoutError:
+            logger.error("Telegram notification timeout")
+        except aiohttp.ClientError as exc:
+            logger.error("Telegram notification failed: %s", exc)
+        except Exception as exc:
+            logger.error("Unexpected error sending notification: %s", exc)
+
+    async def notify_trade_execution(
+        self,
+        stock_code: str,
+        market: str,
+        action: str,
+        quantity: int,
+        price: float,
+        confidence: float,
+    ) -> None:
+        """
+        Notify trade execution.
+
+        Args:
+            stock_code: Stock ticker symbol
+            market: Market name (e.g., "Korea", "United States")
+            action: "BUY" or "SELL"
+            quantity: Number of shares
+            price: Execution price
+            confidence: AI confidence level (0-100)
+        """
+        emoji = "🟢" if action == "BUY" else "🔴"
+        message = (
+            f"<b>{emoji} {action}</b>\n"
+            f"Symbol: <code>{stock_code}</code> ({market})\n"
+            f"Quantity: {quantity:,} shares\n"
+            f"Price: {price:,.2f}\n"
+            f"Confidence: {confidence:.0f}%"
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.MEDIUM, message=message)
+        )
+
+    async def notify_market_open(self, market_name: str) -> None:
+        """
+        Notify market opening.
+
+        Args:
+            market_name: Name of the market (e.g., "Korea", "United States")
+        """
+        message = f"<b>Market Open</b>\n{market_name} trading session started"
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.LOW, message=message)
+        )
+
+    async def notify_market_close(self, market_name: str, pnl_pct: float) -> None:
+        """
+        Notify market closing.
+
+        Args:
+            market_name: Name of the market
+            pnl_pct: Final P&L percentage for the session
+        """
+        pnl_sign = "+" if pnl_pct >= 0 else ""
+        pnl_emoji = "📈" if pnl_pct >= 0 else "📉"
+        message = (
+            f"<b>Market Close</b>\n"
+            f"{market_name} trading session ended\n"
+            f"{pnl_emoji} P&L: {pnl_sign}{pnl_pct:.2f}%"
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.LOW, message=message)
+        )
+
+    async def notify_circuit_breaker(
+        self, pnl_pct: float, threshold: float
+    ) -> None:
+        """
+        Notify circuit breaker activation.
+
+        Args:
+            pnl_pct: Current P&L percentage
+            threshold: Circuit breaker threshold
+        """
+        message = (
+            f"<b>CIRCUIT BREAKER TRIPPED</b>\n"
+            f"P&L: {pnl_pct:.2f}% (threshold: {threshold:.1f}%)\n"
+            f"Trading halted for safety"
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.CRITICAL, message=message)
+        )
+
+    async def notify_fat_finger(
+        self,
+        stock_code: str,
+        order_amount: float,
+        total_cash: float,
+        max_pct: float,
+    ) -> None:
+        """
+        Notify fat-finger protection rejection.
+
+        Args:
+            stock_code: Stock ticker symbol
+            order_amount: Attempted order amount
+            total_cash: Total available cash
+            max_pct: Maximum allowed percentage
+        """
+        attempted_pct = (order_amount / total_cash) * 100 if total_cash > 0 else 0
+        message = (
+            f"<b>Fat-Finger Protection</b>\n"
+            f"Order rejected: <code>{stock_code}</code>\n"
+            f"Attempted: {attempted_pct:.1f}% of cash\n"
+            f"Max allowed: {max_pct:.0f}%\n"
+            f"Amount: {order_amount:,.0f} / {total_cash:,.0f}"
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.HIGH, message=message)
+        )
+
+    async def notify_system_start(
+        self, mode: str, enabled_markets: list[str]
+    ) -> None:
+        """
+        Notify system startup.
+
+        Args:
+            mode: Trading mode ("paper" or "live")
+            enabled_markets: List of enabled market codes
+        """
+        mode_emoji = "📝" if mode == "paper" else "💰"
+        markets_str = ", ".join(enabled_markets)
+        message = (
+            f"<b>{mode_emoji} System Started</b>\n"
+            f"Mode: {mode.upper()}\n"
+            f"Markets: {markets_str}"
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.MEDIUM, message=message)
+        )
+
+    async def notify_system_shutdown(self, reason: str) -> None:
+        """
+        Notify system shutdown.
+
+        Args:
+            reason: Reason for shutdown (e.g., "Normal shutdown", "Circuit breaker")
+        """
+        message = f"<b>System Shutdown</b>\n{reason}"
+        priority = (
+            NotificationPriority.CRITICAL
+            if "circuit breaker" in reason.lower()
+            else NotificationPriority.MEDIUM
+        )
+        await self._send_notification(
+            NotificationMessage(priority=priority, message=message)
+        )
+
+    async def notify_error(
+        self, error_type: str, error_msg: str, context: str
+    ) -> None:
+        """
+        Notify system error.
+
+        Args:
+            error_type: Type of error (e.g., "Connection Error")
+            error_msg: Error message
+            context: Error context (e.g., stock code, market)
+        """
+        message = (
+            f"<b>Error: {error_type}</b>\n"
+            f"Context: {context}\n"
+            f"Message: {error_msg[:200]}"  # Truncate long errors
+        )
+        await self._send_notification(
+            NotificationMessage(priority=NotificationPriority.HIGH, message=message)
+        )

tests/test_backup.py

@@ -0,0 +1,365 @@
+"""Tests for backup and disaster recovery system."""
+
+from __future__ import annotations
+
+import sqlite3
+import tempfile
+from datetime import UTC, datetime, timedelta
+from pathlib import Path
+
+import pytest
+
+from src.backup.exporter import BackupExporter, ExportFormat
+from src.backup.health_monitor import HealthMonitor, HealthStatus
+from src.backup.scheduler import BackupPolicy, BackupScheduler
+
+
+@pytest.fixture
+def temp_db(tmp_path: Path) -> Path:
+    """Create a temporary test database."""
+    db_path = tmp_path / "test_trades.db"
+
+    conn = sqlite3.connect(str(db_path))
+    cursor = conn.cursor()
+
+    # Create trades table
+    cursor.execute("""
+        CREATE TABLE trades (
+            id INTEGER PRIMARY KEY AUTOINCREMENT,
+            timestamp TEXT NOT NULL,
+            stock_code TEXT NOT NULL,
+            action TEXT NOT NULL,
+            quantity INTEGER NOT NULL,
+            price REAL NOT NULL,
+            confidence INTEGER NOT NULL,
+            rationale TEXT,
+            pnl REAL DEFAULT 0.0
+        )
+    """)
+
+    # Insert test data
+    test_trades = [
+        ("2024-01-01T10:00:00Z", "005930", "BUY", 10, 70000.0, 85, "Test buy", 0.0),
+        ("2024-01-01T11:00:00Z", "005930", "SELL", 10, 71000.0, 90, "Test sell", 10000.0),
+        ("2024-01-02T10:00:00Z", "AAPL", "BUY", 5, 180.0, 88, "Tech buy", 0.0),
+    ]
+
+    cursor.executemany(
+        """
+        INSERT INTO trades (timestamp, stock_code, action, quantity, price, confidence, rationale, pnl)
+        VALUES (?, ?, ?, ?, ?, ?, ?, ?)
+        """,
+        test_trades,
+    )
+
+    conn.commit()
+    conn.close()
+
+    return db_path
+
+
+class TestBackupExporter:
+    """Test BackupExporter functionality."""
+
+    def test_exporter_init(self, temp_db: Path) -> None:
+        """Test exporter initialization."""
+        exporter = BackupExporter(str(temp_db))
+        assert exporter.db_path == str(temp_db)
+
+    def test_export_json(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test JSON export."""
+        exporter = BackupExporter(str(temp_db))
+        output_dir = tmp_path / "exports"
+
+        results = exporter.export_all(
+            output_dir, formats=[ExportFormat.JSON], compress=False
+        )
+
+        assert ExportFormat.JSON in results
+        assert results[ExportFormat.JSON].exists()
+        assert results[ExportFormat.JSON].suffix == ".json"
+
+    def test_export_json_compressed(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test compressed JSON export."""
+        exporter = BackupExporter(str(temp_db))
+        output_dir = tmp_path / "exports"
+
+        results = exporter.export_all(
+            output_dir, formats=[ExportFormat.JSON], compress=True
+        )
+
+        assert ExportFormat.JSON in results
+        assert results[ExportFormat.JSON].suffix == ".gz"
+
+    def test_export_csv(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test CSV export."""
+        exporter = BackupExporter(str(temp_db))
+        output_dir = tmp_path / "exports"
+
+        results = exporter.export_all(
+            output_dir, formats=[ExportFormat.CSV], compress=False
+        )
+
+        assert ExportFormat.CSV in results
+        assert results[ExportFormat.CSV].exists()
+
+        # Verify CSV content
+        with open(results[ExportFormat.CSV], "r") as f:
+            lines = f.readlines()
+            assert len(lines) == 4  # Header + 3 rows
+
+    def test_export_all_formats(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test exporting all formats."""
+        exporter = BackupExporter(str(temp_db))
+        output_dir = tmp_path / "exports"
+
+        # Skip Parquet if pyarrow not available
+        try:
+            import pyarrow  # noqa: F401
+
+            formats = [ExportFormat.JSON, ExportFormat.CSV, ExportFormat.PARQUET]
+        except ImportError:
+            formats = [ExportFormat.JSON, ExportFormat.CSV]
+
+        results = exporter.export_all(output_dir, formats=formats, compress=False)
+
+        for fmt in formats:
+            assert fmt in results
+            assert results[fmt].exists()
+
+    def test_incremental_export(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test incremental export."""
+        exporter = BackupExporter(str(temp_db))
+        output_dir = tmp_path / "exports"
+
+        # Export only trades after Jan 2
+        cutoff = datetime(2024, 1, 2, tzinfo=UTC)
+        results = exporter.export_all(
+            output_dir,
+            formats=[ExportFormat.JSON],
+            compress=False,
+            incremental_since=cutoff,
+        )
+
+        # Should only have 1 trade (AAPL on Jan 2)
+        import json
+
+        with open(results[ExportFormat.JSON], "r") as f:
+            data = json.load(f)
+            assert data["record_count"] == 1
+            assert data["trades"][0]["stock_code"] == "AAPL"
+
+    def test_get_export_stats(self, temp_db: Path) -> None:
+        """Test export statistics."""
+        exporter = BackupExporter(str(temp_db))
+        stats = exporter.get_export_stats()
+
+        assert stats["total_trades"] == 3
+        assert "date_range" in stats
+        assert "db_size_bytes" in stats
+
+
+class TestBackupScheduler:
+    """Test BackupScheduler functionality."""
+
+    def test_scheduler_init(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test scheduler initialization."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        assert scheduler.db_path == temp_db
+        assert (backup_dir / "daily").exists()
+        assert (backup_dir / "weekly").exists()
+        assert (backup_dir / "monthly").exists()
+
+    def test_create_daily_backup(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test daily backup creation."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        metadata = scheduler.create_backup(BackupPolicy.DAILY, verify=True)
+
+        assert metadata.policy == BackupPolicy.DAILY
+        assert metadata.file_path.exists()
+        assert metadata.size_bytes > 0
+        assert metadata.checksum is not None
+
+    def test_create_weekly_backup(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test weekly backup creation."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        metadata = scheduler.create_backup(BackupPolicy.WEEKLY, verify=False)
+
+        assert metadata.policy == BackupPolicy.WEEKLY
+        assert metadata.file_path.exists()
+        assert metadata.checksum is None  # verify=False
+
+    def test_list_backups(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test listing backups."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        scheduler.create_backup(BackupPolicy.DAILY)
+        scheduler.create_backup(BackupPolicy.WEEKLY)
+
+        backups = scheduler.list_backups()
+        assert len(backups) == 2
+
+        daily_backups = scheduler.list_backups(BackupPolicy.DAILY)
+        assert len(daily_backups) == 1
+        assert daily_backups[0].policy == BackupPolicy.DAILY
+
+    def test_cleanup_old_backups(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test cleanup of old backups."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir, daily_retention_days=0)
+
+        # Create a backup
+        scheduler.create_backup(BackupPolicy.DAILY)
+
+        # Cleanup should remove it (0 day retention)
+        removed = scheduler.cleanup_old_backups()
+        assert removed[BackupPolicy.DAILY] >= 1
+
+    def test_backup_stats(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test backup statistics."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        scheduler.create_backup(BackupPolicy.DAILY)
+        scheduler.create_backup(BackupPolicy.MONTHLY)
+
+        stats = scheduler.get_backup_stats()
+
+        assert stats["daily"]["count"] == 1
+        assert stats["monthly"]["count"] == 1
+        assert stats["daily"]["total_size_bytes"] > 0
+
+    def test_restore_backup(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test backup restoration."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+
+        # Create backup
+        metadata = scheduler.create_backup(BackupPolicy.DAILY)
+
+        # Modify database
+        conn = sqlite3.connect(str(temp_db))
+        conn.execute("DELETE FROM trades")
+        conn.commit()
+        conn.close()
+
+        # Restore
+        scheduler.restore_backup(metadata, verify=True)
+
+        # Verify restoration
+        conn = sqlite3.connect(str(temp_db))
+        cursor = conn.execute("SELECT COUNT(*) FROM trades")
+        count = cursor.fetchone()[0]
+        conn.close()
+
+        assert count == 3  # Original 3 trades restored
+
+
+class TestHealthMonitor:
+    """Test HealthMonitor functionality."""
+
+    def test_monitor_init(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test monitor initialization."""
+        backup_dir = tmp_path / "backups"
+        monitor = HealthMonitor(str(temp_db), backup_dir)
+
+        assert monitor.db_path == temp_db
+
+    def test_check_database_health_ok(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test database health check (healthy)."""
+        monitor = HealthMonitor(str(temp_db), tmp_path / "backups")
+        result = monitor.check_database_health()
+
+        assert result.status == HealthStatus.HEALTHY
+        assert "healthy" in result.message.lower()
+        assert result.details is not None
+        assert result.details["trade_count"] == 3
+
+    def test_check_database_health_missing(self, tmp_path: Path) -> None:
+        """Test database health check (missing file)."""
+        non_existent = tmp_path / "missing.db"
+        monitor = HealthMonitor(str(non_existent), tmp_path / "backups")
+        result = monitor.check_database_health()
+
+        assert result.status == HealthStatus.UNHEALTHY
+        assert "not found" in result.message.lower()
+
+    def test_check_disk_space(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test disk space check."""
+        monitor = HealthMonitor(str(temp_db), tmp_path, min_disk_space_gb=0.001)
+        result = monitor.check_disk_space()
+
+        # Should be healthy with minimal requirement
+        assert result.status in [HealthStatus.HEALTHY, HealthStatus.DEGRADED]
+        assert result.details is not None
+        assert "free_gb" in result.details
+
+    def test_check_backup_recency_no_backups(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test backup recency check (no backups)."""
+        backup_dir = tmp_path / "backups"
+        backup_dir.mkdir()
+        (backup_dir / "daily").mkdir()
+
+        monitor = HealthMonitor(str(temp_db), backup_dir)
+        result = monitor.check_backup_recency()
+
+        assert result.status == HealthStatus.UNHEALTHY
+        assert "no" in result.message.lower()
+
+    def test_check_backup_recency_recent(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test backup recency check (recent backup)."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+        scheduler.create_backup(BackupPolicy.DAILY)
+
+        monitor = HealthMonitor(str(temp_db), backup_dir)
+        result = monitor.check_backup_recency()
+
+        assert result.status == HealthStatus.HEALTHY
+        assert "recent" in result.message.lower()
+
+    def test_run_all_checks(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test running all health checks."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+        scheduler.create_backup(BackupPolicy.DAILY)
+
+        monitor = HealthMonitor(str(temp_db), backup_dir, min_disk_space_gb=0.001)
+        checks = monitor.run_all_checks()
+
+        assert "database" in checks
+        assert "disk_space" in checks
+        assert "backup_recency" in checks
+        assert checks["database"].status == HealthStatus.HEALTHY
+
+    def test_get_overall_status(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test overall health status."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+        scheduler.create_backup(BackupPolicy.DAILY)
+
+        monitor = HealthMonitor(str(temp_db), backup_dir, min_disk_space_gb=0.001)
+        status = monitor.get_overall_status()
+
+        assert status in [HealthStatus.HEALTHY, HealthStatus.DEGRADED]
+
+    def test_get_health_report(self, temp_db: Path, tmp_path: Path) -> None:
+        """Test health report generation."""
+        backup_dir = tmp_path / "backups"
+        scheduler = BackupScheduler(str(temp_db), backup_dir)
+        scheduler.create_backup(BackupPolicy.DAILY)
+
+        monitor = HealthMonitor(str(temp_db), backup_dir, min_disk_space_gb=0.001)
+        report = monitor.get_health_report()
+
+        assert "overall_status" in report
+        assert "timestamp" in report
+        assert "checks" in report
+        assert len(report["checks"]) == 3

tests/test_broker.py

@@ -49,6 +49,46 @@ class TestTokenManagement:
 
         await broker.close()
 
+    @pytest.mark.asyncio
+    async def test_concurrent_token_refresh_calls_api_once(self, settings):
+        """Multiple concurrent token requests should only call API once."""
+        broker = KISBroker(settings)
+
+        # Track how many times the mock API is called
+        call_count = [0]
+
+        def create_mock_resp():
+            call_count[0] += 1
+            mock_resp = AsyncMock()
+            mock_resp.status = 200
+            mock_resp.json = AsyncMock(
+                return_value={
+                    "access_token": "tok_concurrent",
+                    "token_type": "Bearer",
+                    "expires_in": 86400,
+                }
+            )
+            mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+            mock_resp.__aexit__ = AsyncMock(return_value=False)
+            return mock_resp
+
+        with patch("aiohttp.ClientSession.post", return_value=create_mock_resp()):
+            # Launch 5 concurrent token requests
+            tokens = await asyncio.gather(
+                broker._ensure_token(),
+                broker._ensure_token(),
+                broker._ensure_token(),
+                broker._ensure_token(),
+                broker._ensure_token(),
+            )
+
+            # All should get the same token
+            assert all(t == "tok_concurrent" for t in tokens)
+            # API should be called only once (due to lock)
+            assert call_count[0] == 1
+
+        await broker.close()
+
 
 # ---------------------------------------------------------------------------
 # Network Error Handling

tests/test_main.py

@@ -0,0 +1,597 @@
+"""Tests for main trading loop telegram integration."""
+
+import asyncio
+from unittest.mock import AsyncMock, MagicMock, patch
+
+import pytest
+
+from src.core.risk_manager import CircuitBreakerTripped, FatFingerRejected
+from src.main import safe_float, trading_cycle
+
+
+class TestSafeFloat:
+    """Test safe_float() helper function."""
+
+    def test_converts_valid_string(self):
+        """Test conversion of valid numeric string."""
+        assert safe_float("123.45") == 123.45
+        assert safe_float("0") == 0.0
+        assert safe_float("-99.9") == -99.9
+
+    def test_handles_empty_string(self):
+        """Test empty string returns default."""
+        assert safe_float("") == 0.0
+        assert safe_float("", 99.0) == 99.0
+
+    def test_handles_none(self):
+        """Test None returns default."""
+        assert safe_float(None) == 0.0
+        assert safe_float(None, 42.0) == 42.0
+
+    def test_handles_invalid_string(self):
+        """Test invalid string returns default."""
+        assert safe_float("invalid") == 0.0
+        assert safe_float("not_a_number", 100.0) == 100.0
+        assert safe_float("12.34.56") == 0.0
+
+    def test_handles_float_input(self):
+        """Test float input passes through."""
+        assert safe_float(123.45) == 123.45
+        assert safe_float(0.0) == 0.0
+
+    def test_custom_default(self):
+        """Test custom default value."""
+        assert safe_float("", -1.0) == -1.0
+        assert safe_float(None, 999.0) == 999.0
+
+
+class TestTradingCycleTelegramIntegration:
+    """Test telegram notifications in trading_cycle function."""
+
+    @pytest.fixture
+    def mock_broker(self) -> MagicMock:
+        """Create mock broker."""
+        broker = MagicMock()
+        broker.get_orderbook = AsyncMock(
+            return_value={
+                "output1": {
+                    "stck_prpr": "50000",
+                    "frgn_ntby_qty": "100",
+                }
+            }
+        )
+        broker.get_balance = AsyncMock(
+            return_value={
+                "output2": [
+                    {
+                        "tot_evlu_amt": "10000000",
+                        "dnca_tot_amt": "5000000",
+                        "pchs_amt_smtl_amt": "5000000",
+                    }
+                ]
+            }
+        )
+        broker.send_order = AsyncMock(return_value={"msg1": "OK"})
+        return broker
+
+    @pytest.fixture
+    def mock_overseas_broker(self) -> MagicMock:
+        """Create mock overseas broker."""
+        broker = MagicMock()
+        return broker
+
+    @pytest.fixture
+    def mock_brain(self) -> MagicMock:
+        """Create mock brain that decides to buy."""
+        brain = MagicMock()
+        decision = MagicMock()
+        decision.action = "BUY"
+        decision.confidence = 85
+        decision.rationale = "Test buy"
+        brain.decide = AsyncMock(return_value=decision)
+        return brain
+
+    @pytest.fixture
+    def mock_risk(self) -> MagicMock:
+        """Create mock risk manager."""
+        risk = MagicMock()
+        risk.validate_order = MagicMock()
+        return risk
+
+    @pytest.fixture
+    def mock_db(self) -> MagicMock:
+        """Create mock database connection."""
+        return MagicMock()
+
+    @pytest.fixture
+    def mock_decision_logger(self) -> MagicMock:
+        """Create mock decision logger."""
+        logger = MagicMock()
+        logger.log_decision = MagicMock()
+        return logger
+
+    @pytest.fixture
+    def mock_context_store(self) -> MagicMock:
+        """Create mock context store."""
+        store = MagicMock()
+        store.get_latest_timeframe = MagicMock(return_value=None)
+        return store
+
+    @pytest.fixture
+    def mock_criticality_assessor(self) -> MagicMock:
+        """Create mock criticality assessor."""
+        assessor = MagicMock()
+        assessor.assess_market_conditions = MagicMock(
+            return_value=MagicMock(value="NORMAL")
+        )
+        assessor.get_timeout = MagicMock(return_value=5.0)
+        return assessor
+
+    @pytest.fixture
+    def mock_telegram(self) -> MagicMock:
+        """Create mock telegram client."""
+        telegram = MagicMock()
+        telegram.notify_trade_execution = AsyncMock()
+        telegram.notify_fat_finger = AsyncMock()
+        telegram.notify_circuit_breaker = AsyncMock()
+        return telegram
+
+    @pytest.fixture
+    def mock_market(self) -> MagicMock:
+        """Create mock market info."""
+        market = MagicMock()
+        market.name = "Korea"
+        market.code = "KR"
+        market.exchange_code = "KRX"
+        market.is_domestic = True
+        return market
+
+    @pytest.mark.asyncio
+    async def test_trade_execution_notification_sent(
+        self,
+        mock_broker: MagicMock,
+        mock_overseas_broker: MagicMock,
+        mock_brain: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_market: MagicMock,
+    ) -> None:
+        """Test telegram notification sent on trade execution."""
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=mock_overseas_broker,
+                brain=mock_brain,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+            )
+
+        # Verify notification was sent
+        mock_telegram.notify_trade_execution.assert_called_once()
+        call_kwargs = mock_telegram.notify_trade_execution.call_args.kwargs
+        assert call_kwargs["stock_code"] == "005930"
+        assert call_kwargs["market"] == "Korea"
+        assert call_kwargs["action"] == "BUY"
+        assert call_kwargs["confidence"] == 85
+
+    @pytest.mark.asyncio
+    async def test_trade_execution_notification_failure_doesnt_crash(
+        self,
+        mock_broker: MagicMock,
+        mock_overseas_broker: MagicMock,
+        mock_brain: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_market: MagicMock,
+    ) -> None:
+        """Test trading continues even if notification fails."""
+        # Make notification fail
+        mock_telegram.notify_trade_execution.side_effect = Exception("API error")
+
+        with patch("src.main.log_trade"):
+            # Should not raise exception
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=mock_overseas_broker,
+                brain=mock_brain,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+            )
+
+        # Verify notification was attempted
+        mock_telegram.notify_trade_execution.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_fat_finger_notification_sent(
+        self,
+        mock_broker: MagicMock,
+        mock_overseas_broker: MagicMock,
+        mock_brain: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_market: MagicMock,
+    ) -> None:
+        """Test telegram notification sent on fat finger rejection."""
+        # Make risk manager reject the order
+        mock_risk.validate_order.side_effect = FatFingerRejected(
+            order_amount=2000000,
+            total_cash=5000000,
+            max_pct=30.0,
+        )
+
+        with patch("src.main.log_trade"):
+            with pytest.raises(FatFingerRejected):
+                await trading_cycle(
+                    broker=mock_broker,
+                    overseas_broker=mock_overseas_broker,
+                    brain=mock_brain,
+                    risk=mock_risk,
+                    db_conn=mock_db,
+                    decision_logger=mock_decision_logger,
+                    context_store=mock_context_store,
+                    criticality_assessor=mock_criticality_assessor,
+                    telegram=mock_telegram,
+                    market=mock_market,
+                    stock_code="005930",
+                )
+
+        # Verify notification was sent
+        mock_telegram.notify_fat_finger.assert_called_once()
+        call_kwargs = mock_telegram.notify_fat_finger.call_args.kwargs
+        assert call_kwargs["stock_code"] == "005930"
+        assert call_kwargs["order_amount"] == 2000000
+        assert call_kwargs["total_cash"] == 5000000
+        assert call_kwargs["max_pct"] == 30.0
+
+    @pytest.mark.asyncio
+    async def test_fat_finger_notification_failure_still_raises(
+        self,
+        mock_broker: MagicMock,
+        mock_overseas_broker: MagicMock,
+        mock_brain: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_market: MagicMock,
+    ) -> None:
+        """Test fat finger exception still raised even if notification fails."""
+        # Make risk manager reject the order
+        mock_risk.validate_order.side_effect = FatFingerRejected(
+            order_amount=2000000,
+            total_cash=5000000,
+            max_pct=30.0,
+        )
+        # Make notification fail
+        mock_telegram.notify_fat_finger.side_effect = Exception("API error")
+
+        with patch("src.main.log_trade"):
+            with pytest.raises(FatFingerRejected):
+                await trading_cycle(
+                    broker=mock_broker,
+                    overseas_broker=mock_overseas_broker,
+                    brain=mock_brain,
+                    risk=mock_risk,
+                    db_conn=mock_db,
+                    decision_logger=mock_decision_logger,
+                    context_store=mock_context_store,
+                    criticality_assessor=mock_criticality_assessor,
+                    telegram=mock_telegram,
+                    market=mock_market,
+                    stock_code="005930",
+                )
+
+        # Verify notification was attempted
+        mock_telegram.notify_fat_finger.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_no_notification_on_hold_decision(
+        self,
+        mock_broker: MagicMock,
+        mock_overseas_broker: MagicMock,
+        mock_brain: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_market: MagicMock,
+    ) -> None:
+        """Test no trade notification sent when decision is HOLD."""
+        # Change brain decision to HOLD
+        decision = MagicMock()
+        decision.action = "HOLD"
+        decision.confidence = 50
+        decision.rationale = "Insufficient signal"
+        mock_brain.decide = AsyncMock(return_value=decision)
+
+        with patch("src.main.log_trade"):
+            await trading_cycle(
+                broker=mock_broker,
+                overseas_broker=mock_overseas_broker,
+                brain=mock_brain,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_market,
+                stock_code="005930",
+            )
+
+        # Verify no trade notification sent
+        mock_telegram.notify_trade_execution.assert_not_called()
+
+
+class TestRunFunctionTelegramIntegration:
+    """Test telegram notifications in run function."""
+
+    @pytest.mark.asyncio
+    async def test_circuit_breaker_notification_sent(self) -> None:
+        """Test telegram notification sent when circuit breaker trips."""
+        mock_telegram = MagicMock()
+        mock_telegram.notify_circuit_breaker = AsyncMock()
+
+        # Simulate circuit breaker exception
+        exc = CircuitBreakerTripped(pnl_pct=-3.5, threshold=-3.0)
+
+        # Test the notification logic
+        try:
+            await mock_telegram.notify_circuit_breaker(
+                pnl_pct=exc.pnl_pct,
+                threshold=exc.threshold,
+            )
+        except Exception:
+            pass  # Ignore errors in notification
+
+        # Verify notification was called
+        mock_telegram.notify_circuit_breaker.assert_called_once_with(
+            pnl_pct=-3.5,
+            threshold=-3.0,
+        )
+
+
+class TestOverseasBalanceParsing:
+    """Test overseas balance output2 parsing handles different formats."""
+
+    @pytest.fixture
+    def mock_overseas_broker_with_list(self) -> MagicMock:
+        """Create mock overseas broker returning list format."""
+        broker = MagicMock()
+        broker.get_overseas_price = AsyncMock(
+            return_value={"output": {"last": "150.50"}}
+        )
+        broker.get_overseas_balance = AsyncMock(
+            return_value={
+                "output2": [
+                    {
+                        "frcr_evlu_tota": "10000.00",
+                        "frcr_dncl_amt_2": "5000.00",
+                        "frcr_buy_amt_smtl": "4500.00",
+                    }
+                ]
+            }
+        )
+        return broker
+
+    @pytest.fixture
+    def mock_overseas_broker_with_dict(self) -> MagicMock:
+        """Create mock overseas broker returning dict format."""
+        broker = MagicMock()
+        broker.get_overseas_price = AsyncMock(
+            return_value={"output": {"last": "150.50"}}
+        )
+        broker.get_overseas_balance = AsyncMock(
+            return_value={
+                "output2": {
+                    "frcr_evlu_tota": "10000.00",
+                    "frcr_dncl_amt_2": "5000.00",
+                    "frcr_buy_amt_smtl": "4500.00",
+                }
+            }
+        )
+        return broker
+
+    @pytest.fixture
+    def mock_overseas_broker_with_empty(self) -> MagicMock:
+        """Create mock overseas broker returning empty output2."""
+        broker = MagicMock()
+        broker.get_overseas_price = AsyncMock(
+            return_value={"output": {"last": "150.50"}}
+        )
+        broker.get_overseas_balance = AsyncMock(return_value={"output2": []})
+        return broker
+
+    @pytest.fixture
+    def mock_domestic_broker(self) -> MagicMock:
+        """Create minimal mock domestic broker."""
+        broker = MagicMock()
+        return broker
+
+    @pytest.fixture
+    def mock_overseas_market(self) -> MagicMock:
+        """Create mock overseas market info."""
+        market = MagicMock()
+        market.name = "NASDAQ"
+        market.code = "US_NASDAQ"
+        market.exchange_code = "NASD"
+        market.is_domestic = False
+        return market
+
+    @pytest.fixture
+    def mock_brain_hold(self) -> MagicMock:
+        """Create mock brain that always holds."""
+        brain = MagicMock()
+        decision = MagicMock()
+        decision.action = "HOLD"
+        decision.confidence = 50
+        decision.rationale = "Testing balance parsing"
+        brain.decide = AsyncMock(return_value=decision)
+        return brain
+
+    @pytest.fixture
+    def mock_risk(self) -> MagicMock:
+        """Create mock risk manager."""
+        return MagicMock()
+
+    @pytest.fixture
+    def mock_db(self) -> MagicMock:
+        """Create mock database."""
+        return MagicMock()
+
+    @pytest.fixture
+    def mock_decision_logger(self) -> MagicMock:
+        """Create mock decision logger."""
+        return MagicMock()
+
+    @pytest.fixture
+    def mock_context_store(self) -> MagicMock:
+        """Create mock context store."""
+        store = MagicMock()
+        store.get_latest_timeframe = MagicMock(return_value=None)
+        return store
+
+    @pytest.fixture
+    def mock_criticality_assessor(self) -> MagicMock:
+        """Create mock criticality assessor."""
+        assessor = MagicMock()
+        assessor.assess_market_conditions = MagicMock(
+            return_value=MagicMock(value="NORMAL")
+        )
+        assessor.get_timeout = MagicMock(return_value=5.0)
+        return assessor
+
+    @pytest.fixture
+    def mock_telegram(self) -> MagicMock:
+        """Create mock telegram client."""
+        return MagicMock()
+
+    @pytest.mark.asyncio
+    async def test_overseas_balance_list_format(
+        self,
+        mock_domestic_broker: MagicMock,
+        mock_overseas_broker_with_list: MagicMock,
+        mock_brain_hold: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_overseas_market: MagicMock,
+    ) -> None:
+        """Test overseas balance parsing with list format (output2=[{...}])."""
+        with patch("src.main.log_trade"):
+            # Should not raise KeyError
+            await trading_cycle(
+                broker=mock_domestic_broker,
+                overseas_broker=mock_overseas_broker_with_list,
+                brain=mock_brain_hold,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_overseas_market,
+                stock_code="AAPL",
+            )
+
+        # Verify balance API was called
+        mock_overseas_broker_with_list.get_overseas_balance.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_overseas_balance_dict_format(
+        self,
+        mock_domestic_broker: MagicMock,
+        mock_overseas_broker_with_dict: MagicMock,
+        mock_brain_hold: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_overseas_market: MagicMock,
+    ) -> None:
+        """Test overseas balance parsing with dict format (output2={...})."""
+        with patch("src.main.log_trade"):
+            # Should not raise KeyError
+            await trading_cycle(
+                broker=mock_domestic_broker,
+                overseas_broker=mock_overseas_broker_with_dict,
+                brain=mock_brain_hold,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_overseas_market,
+                stock_code="AAPL",
+            )
+
+        # Verify balance API was called
+        mock_overseas_broker_with_dict.get_overseas_balance.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_overseas_balance_empty_format(
+        self,
+        mock_domestic_broker: MagicMock,
+        mock_overseas_broker_with_empty: MagicMock,
+        mock_brain_hold: MagicMock,
+        mock_risk: MagicMock,
+        mock_db: MagicMock,
+        mock_decision_logger: MagicMock,
+        mock_context_store: MagicMock,
+        mock_criticality_assessor: MagicMock,
+        mock_telegram: MagicMock,
+        mock_overseas_market: MagicMock,
+    ) -> None:
+        """Test overseas balance parsing with empty output2."""
+        with patch("src.main.log_trade"):
+            # Should not raise KeyError, should default to 0
+            await trading_cycle(
+                broker=mock_domestic_broker,
+                overseas_broker=mock_overseas_broker_with_empty,
+                brain=mock_brain_hold,
+                risk=mock_risk,
+                db_conn=mock_db,
+                decision_logger=mock_decision_logger,
+                context_store=mock_context_store,
+                criticality_assessor=mock_criticality_assessor,
+                telegram=mock_telegram,
+                market=mock_overseas_market,
+                stock_code="AAPL",
+            )
+
+        # Verify balance API was called
+        mock_overseas_broker_with_empty.get_overseas_balance.assert_called_once()

tests/test_telegram.py

@@ -0,0 +1,269 @@
+"""Tests for Telegram notification client."""
+
+from unittest.mock import AsyncMock, patch
+
+import aiohttp
+import pytest
+
+from src.notifications.telegram_client import NotificationPriority, TelegramClient
+
+
+class TestTelegramClientInit:
+    """Test client initialization scenarios."""
+
+    def test_disabled_via_flag(self) -> None:
+        """Client disabled via enabled=False flag."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=False
+        )
+        assert client._enabled is False
+
+    def test_disabled_missing_token(self) -> None:
+        """Client disabled when bot_token is None."""
+        client = TelegramClient(bot_token=None, chat_id="456", enabled=True)
+        assert client._enabled is False
+
+    def test_disabled_missing_chat_id(self) -> None:
+        """Client disabled when chat_id is None."""
+        client = TelegramClient(bot_token="123:abc", chat_id=None, enabled=True)
+        assert client._enabled is False
+
+    def test_enabled_with_credentials(self) -> None:
+        """Client enabled when credentials provided."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+        assert client._enabled is True
+
+
+class TestNotificationSending:
+    """Test notification sending behavior."""
+
+    @pytest.mark.asyncio
+    async def test_no_send_when_disabled(self) -> None:
+        """Notifications not sent when client disabled."""
+        client = TelegramClient(enabled=False)
+
+        with patch("aiohttp.ClientSession.post") as mock_post:
+            await client.notify_trade_execution(
+                stock_code="AAPL",
+                market="United States",
+                action="BUY",
+                quantity=10,
+                price=150.0,
+                confidence=85.0,
+            )
+            mock_post.assert_not_called()
+
+    @pytest.mark.asyncio
+    async def test_trade_execution_format(self) -> None:
+        """Trade notification has correct format."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
+            await client.notify_trade_execution(
+                stock_code="TSLA",
+                market="United States",
+                action="SELL",
+                quantity=5,
+                price=250.50,
+                confidence=92.0,
+            )
+
+            # Verify API call was made
+            assert mock_post.call_count == 1
+            call_args = mock_post.call_args
+
+            # Check payload structure
+            payload = call_args.kwargs["json"]
+            assert payload["chat_id"] == "456"
+            assert "TSLA" in payload["text"]
+            assert "SELL" in payload["text"]
+            assert "5" in payload["text"]
+            assert "250.50" in payload["text"]
+            assert "92%" in payload["text"]
+
+    @pytest.mark.asyncio
+    async def test_circuit_breaker_priority(self) -> None:
+        """Circuit breaker uses CRITICAL priority."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
+            await client.notify_circuit_breaker(pnl_pct=-3.15, threshold=-3.0)
+
+            payload = mock_post.call_args.kwargs["json"]
+            # CRITICAL priority has 🚨 emoji
+            assert NotificationPriority.CRITICAL.emoji in payload["text"]
+            assert "-3.15%" in payload["text"]
+
+    @pytest.mark.asyncio
+    async def test_api_error_handling(self) -> None:
+        """API errors logged but don't crash."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 400
+        mock_resp.text = AsyncMock(return_value="Bad Request")
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp):
+            # Should not raise exception
+            await client.notify_system_start(mode="paper", enabled_markets=["KR"])
+
+    @pytest.mark.asyncio
+    async def test_timeout_handling(self) -> None:
+        """Timeouts logged but don't crash."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        with patch(
+            "aiohttp.ClientSession.post",
+            side_effect=aiohttp.ClientError("Connection timeout"),
+        ):
+            # Should not raise exception
+            await client.notify_error(
+                error_type="Test Error", error_msg="Test", context="test"
+            )
+
+    @pytest.mark.asyncio
+    async def test_session_management(self) -> None:
+        """Session created and reused correctly."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        # Session should be None initially
+        assert client._session is None
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp):
+            await client.notify_market_open("Korea")
+            # Session should be created
+            assert client._session is not None
+
+            session1 = client._session
+            await client.notify_market_close("Korea", 1.5)
+            # Same session should be reused
+            assert client._session is session1
+
+
+class TestRateLimiting:
+    """Test rate limiter behavior."""
+
+    @pytest.mark.asyncio
+    async def test_rate_limiter_enforced(self) -> None:
+        """Rate limiter delays rapid requests."""
+        import time
+
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True, rate_limit=2.0
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp):
+            start = time.monotonic()
+
+            # Send 3 messages (rate: 2/sec = 0.5s per message)
+            await client.notify_market_open("Korea")
+            await client.notify_market_open("United States")
+            await client.notify_market_open("Japan")
+
+            elapsed = time.monotonic() - start
+
+            # Should take at least 0.4 seconds (3 msgs at 2/sec with some tolerance)
+            assert elapsed >= 0.4
+
+
+class TestMessagePriorities:
+    """Test priority-based messaging."""
+
+    @pytest.mark.asyncio
+    async def test_low_priority_uses_info_emoji(self) -> None:
+        """LOW priority uses ℹ️ emoji."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
+            await client.notify_market_open("Korea")
+
+            payload = mock_post.call_args.kwargs["json"]
+            assert NotificationPriority.LOW.emoji in payload["text"]
+
+    @pytest.mark.asyncio
+    async def test_critical_priority_uses_alarm_emoji(self) -> None:
+        """CRITICAL priority uses 🚨 emoji."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_resp = AsyncMock()
+        mock_resp.status = 200
+        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
+        mock_resp.__aexit__ = AsyncMock(return_value=False)
+
+        with patch("aiohttp.ClientSession.post", return_value=mock_resp) as mock_post:
+            await client.notify_system_shutdown("Circuit breaker tripped")
+
+            payload = mock_post.call_args.kwargs["json"]
+            assert NotificationPriority.CRITICAL.emoji in payload["text"]
+
+
+class TestClientCleanup:
+    """Test client cleanup behavior."""
+
+    @pytest.mark.asyncio
+    async def test_close_closes_session(self) -> None:
+        """close() closes the HTTP session."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        mock_session = AsyncMock()
+        mock_session.closed = False
+        mock_session.close = AsyncMock()
+        client._session = mock_session
+
+        await client.close()
+        mock_session.close.assert_called_once()
+
+    @pytest.mark.asyncio
+    async def test_close_handles_no_session(self) -> None:
+        """close() handles None session gracefully."""
+        client = TelegramClient(
+            bot_token="123:abc", chat_id="456", enabled=True
+        )
+
+        # Should not raise exception
+        await client.close()