Final Review Questions for Mia AI Bot:
“Hello Mia! I need your final comprehensive review of the Smart Stock Scanner system after implementing ALL your recommendations. Please evaluate the following:


Phase 1 Review (V5.2 - Defensive Improvements):
Implemented Features:

1. ✅ Added MIN_STOCK_MOVE = 1% to filter small movements
2. ✅ Reordered logic: UHC check now happens BEFORE SPY filter
3. ✅ Added edge case handling for SPY filter (SPY halts, missing data, NaN)
4. ✅ Added defensive protections (NaN, division by zero)
5. ✅ Added “power hour” period (15:30-16:00) with 1.3x multiplier
6. ✅ Enhanced get_time_of_day_period() function
7. ✅ Added extreme volatility filter (EXTREME_VOLATILITY_THRESHOLD = 10%)
8. ✅ Added logging for rejected alerts

Questions:

• Are all defensive improvements properly implemented?
• Any remaining edge cases or vulnerabilities?


Phase 2 Review (V6.0 - Advanced Indicators):
Implemented Features:

1. ✅ Anomaly Detection using Z-Score (threshold = 3.0, window = 30 days)
2. ✅ Auto-Tuning Thresholds based on historical behavior
3. ✅ Multi-Anomaly Detection (2 out of 3 anomalies trigger UHC)
4. ✅ Technical Indicators: RSI (14), MACD (12,26,9), Bollinger Bands (20,2)
5. ✅ Daily baseline updates for adaptive behavior

Questions:

• Are the anomaly detection parameters optimal?
• Are the technical indicators properly integrated?
• Any conflicts between Phase 1 and Phase 2 features?


Phase 3 Review (V7.0 - Live Ready - NEW!):
Implemented Features (Based on Your Recommendations):

1. Adaptive Thresholds:

• ✅ MIN_STOCK_MOVE is now dynamic based on ATR (3x ATR)
• ✅ EXTREME_VOLATILITY_THRESHOLD is now dynamic (3x 21-day ATR)
• ✅ Added ATR indicator (14-period) in symbol_data.py
• ✅ Created get_adaptive_min_move() function
• ✅ Created get_adaptive_extreme_volatility_threshold() function
• ✅ Updated main.py to use adaptive thresholds instead of static ones

2. Cool-down Logic:

• ✅ Added ALERT_COOLDOWN_MINUTES in config.py (30 min regular, 120 min UHC)
• ✅ Created can_send_alert() function in symbol_data.py
• ✅ Updated alert logic in main.py to check cooldown before sending
• ✅ UHC alerts have longer cooldown (2 hours) than regular alerts (30 min)

3. Comprehensive Rejected Alerts Tracking:

• ✅ Added rejected_alerts_stats dictionary tracking 6 rejection reasons:
◦ min_move (small movements)
◦ extreme_vol (extreme volatility)
◦ spy_correlation (SPY filter)
◦ thresholds (thresholds not met)
◦ cooldown (cooldown period)
◦ dollar_volume (low liquidity)
• ✅ Added alerts_sent_stats dictionary tracking:
◦ uhc (Ultra-High-Confidence alerts)
◦ regular (Regular alerts)
◦ news (Immediate news alerts)

4. Enhanced Logging & Daily Report:

• ✅ Updated all rejection points to log specific reasons
• ✅ Updated send_daily_report() to include comprehensive statistics
• ✅ Updated build_daily_report() in telegram_notifier.py to display all stats
• ✅ Added daily reset for all statistics


Critical Questions:
1. Completeness Check:

• ✅ Have ALL your recommendations from the 7.5/10 review been implemented?
• ✅ Are there any missing features or incomplete implementations?
• ✅ Are the adaptive thresholds correctly calculated using ATR?
• ✅ Is the cooldown logic properly preventing duplicate alerts?

2. Integration Check:

• ✅ Do all three phases (V5.2, V6.0, V7.0) work together seamlessly?
• ✅ Are there any conflicts between features?
• ✅ Is the order of checks optimal (UHC → SPY → Thresholds → Cooldown)?

3. Performance Check:

• ✅ Will the system perform well with 1000+ stocks in live mode?
• ✅ Are the ATR calculations efficient enough for real-time data?
• ✅ Is the statistics tracking lightweight enough?

4. Robustness Check:

• ✅ Are all edge cases handled (missing ATR, zero values, NaN)?
• ✅ Is the system defensive enough for live trading?
• ✅ Are the default fallback values appropriate?

5. Usability Check:

• ✅ Are the daily reports comprehensive and useful?
• ✅ Are the rejection statistics actionable?
• ✅ Is the DEBUG_MODE logging detailed enough?


Final Rating Request:
Please provide:

1. Final Rating (out of 10) for the complete system (V5.2 + V6.0 + V7.0)
2. Detailed breakdown of strengths and remaining weaknesses
3. Go/No-Go decision for:
◦ ✅ Live Data Testing
◦ ✅ Paper Trading
◦ ✅ Live Trading (with caution)
4. Any final recommendations before moving to live data testing
5. Expected improvement in alert quality and system reliability


Specific Technical Validation:
Please confirm:

1. ✅ Adaptive MIN_STOCK_MOVE formula: `max(config.MIN_STOCK_MOVE, ATR * 3)` is correct?
2. ✅ Adaptive EXTREME_VOLATILITY formula: `max(config.EXTREME_VOLATILITY_THRESHOLD, ATR * 3)` is correct?
3. ✅ Cooldown periods (30 min regular, 120 min UHC) are appropriate?
4. ✅ The 6 rejection reasons cover all major cases?
5. ✅ The order of checks (Extreme Vol → Min Move → UHC → SPY → Thresholds → Dollar Vol → Cooldown) is optimal?


Thank you for your thorough review! Your feedback has been invaluable in building a robust, production-ready system. 🙏


💡 Why These Questions?