foxhunt/docs/archive/testing/PAPER_TRADING_VALIDATION_REPORT_2025-10-14.md

Paper Trading Validation Report

Date: 2025-10-14 Agent: Agent 123 (Paper Trading Validation) Status: ⚠️ PAPER TRADING INACTIVE (Last prediction 1h ago) Monitoring Period: 2025-10-14 15:06:07 to 16:06:36 UTC

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Executive Summary

Overall Status: ⚠️ NEEDS ATTENTION

Infrastructure: ✅ OPERATIONAL (9/9 services healthy) Paper Trading: ⚠️ INACTIVE (Stopped 1h ago at 16:06:36 UTC) Models: ⚠️ INCOMPLETE (No individual model votes in ensemble predictions) Risk Systems: ✅ OPERATIONAL (Kill switch monitoring active)

Key Findings

1. 3,000 ensemble predictions generated over 1-hour period (TEST_SYM only)
2. Zero executed orders - Paper trading predictions not converting to trades
3. No individual model predictions - DQN, PPO, MAMBA-2 votes all NULL
4. Ensemble still functioning - Aggregating signals despite missing individual inputs
5. High disagreement rate - 50.3% average (models not converging on predictions)

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Infrastructure Health Check ✅

Service Status (9/9 Healthy)

Service	Status	Port	Uptime	Notes
API Gateway	✅ Healthy	50051	Running	ML endpoints unavailable
Trading Service	✅ Healthy	50052	Running	Kill switch active
ML Training Service	✅ Healthy	50054	Running	TLS configured
Backtesting Service	✅ Healthy	50053	Restarting	Intermittent
PostgreSQL	✅ Healthy	5432	Running	TimescaleDB active
Redis	✅ Healthy	6379	Running	Cache operational
Grafana	✅ Healthy	3000	v12.2.0	Dashboard accessible
Prometheus	✅ Healthy	9090	Running	6/6 targets up
InfluxDB	✅ Healthy	8086	Running	Metrics storage

Prometheus Targets (6/6 Up)

api_gateway: up (last scrape: 2025-10-14T17:10:04Z)
backtesting_service: up (last scrape: 2025-10-14T17:09:55Z)
ml_training_service: up (last scrape: 2025-10-14T17:10:04Z)
postgres_exporter: up (last scrape: 2025-10-14T17:09:35Z)
prometheus: up (last scrape: 2025-10-14T17:09:52Z)
trading_service: up (last scrape: 2025-10-14T17:10:04Z)

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Paper Trading Activity Summary

Ensemble Predictions (Last 24 Hours)

Total Predictions: 3,000 Unique Symbols: 1 (TEST_SYM only) Active Period: 15:06:07 to 16:06:36 UTC (1 hour, 29 seconds) Time Since Last Prediction: 1 hour, 2 minutes, 56 seconds

Signal Distribution

Action	Count	% of Total	Avg Confidence	Avg Disagreement
SELL	1,296	43.20%	0.5048	50.21%
BUY	980	32.67%	0.4900	51.31%
HOLD	724	24.13%	0.5020	49.14%

Analysis:

• SELL signals dominate (43.2% vs 32.7% BUY)
• HOLD signals at 24.1% - conservative stance
• Confidence levels mediocre (49-51%, barely above random)
• High disagreement rates (49-51%) - models not aligned

Ensemble Performance Metrics

Average Confidence: 49.93% (barely above random) Average Disagreement Rate: 50.31% (high model discord) Average Inference Latency: NULL (not measured) Average Aggregation Latency: NULL (not measured)

Trade Execution

Executed Orders: 0 (0% conversion rate) Total PnL: $0.00 Total Commission: $0.00 Orders in Database: 1,621 (historical, not from this session)

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Model Performance Analysis ⚠️

Individual Model Status

Model	Vote	Signal	Confidence	Weight	Status
DQN	NULL	NULL	NULL	NULL	⚠️ NOT ACTIVE
PPO	NULL	NULL	NULL	NULL	⚠️ NOT ACTIVE
MAMBA-2	NULL	NULL	NULL	NULL	⚠️ NOT ACTIVE
TFT	NULL	NULL	NULL	NULL	⚠️ NOT ACTIVE

Critical Issue: All individual model predictions are NULL. Ensemble is producing predictions, but individual models are not being called or their outputs are not being logged.

Sample Predictions (Last 15)

Timestamp	Action	Signal	Confidence	Disagreement
16:06:36	BUY	0.0639	0.5141	0.9380
16:06:35	HOLD	-0.2013	0.5046	0.3787
16:06:33	HOLD	-0.1311	0.8138	0.7856
16:06:32	BUY	-0.0994	0.6134	0.2385
16:06:30	SELL	0.9902	0.9694	0.8388
16:06:30	BUY	-0.2358	0.1326	0.5103
16:06:29	BUY	0.7720	0.4356	0.1851
16:06:27	SELL	0.8448	0.4884	0.4546
16:06:26	SELL	0.8070	0.9856	0.3944
16:06:23	HOLD	0.0150	0.2916	0.5116

Notable Observations:

1. Confidence variability: Ranges from 0.1326 to 0.9856 (highly inconsistent)
2. Disagreement spikes: Some predictions have 93.8% disagreement
3. Signal-action mismatch: BUY with signal=0.0639, SELL with signal=0.9902 (unclear logic)
4. Prediction frequency: ~3-5 seconds between predictions (high frequency)

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Comparison to Backtest Expectations

Expected Performance (from BACKTEST_EXECUTIVE_SUMMARY.md)

Metric	Backtest (8-Model Ensemble)	Paper Trading (Current)	Status
Sharpe Ratio	7.33	N/A (no PnL yet)	⚠️ UNMEASURED
Monthly Return	31.0% ($31K on $100K)	$0	❌ ZERO
Win Rate	58.5%	N/A (no trades)	⚠️ UNMEASURED
Max Drawdown	0.21%	0% (no trades)	⚠️ UNMEASURED
Calmar Ratio	5.0	N/A	⚠️ UNMEASURED
Trade Frequency	10-30/day optimal	~3,000/day (1h extrapolated)	❌ TOO HIGH
Symbols Traded	ES.FUT, NQ.FUT, ZN.FUT, 6E.FUT	TEST_SYM only	❌ WRONG SYMBOL

Critical Gaps

1. No real symbols: Trading TEST_SYM instead of ES.FUT, NQ.FUT, etc.
2. Excessive frequency: ~3,000 predictions/day vs optimal 10-30 trades/day
3. Zero execution: Predictions not converting to paper trades
4. Missing individual models: 4-model ensemble (DQN, PPO, MAMBA-2, TFT) not providing inputs
5. No PnL tracking: Unable to calculate Sharpe ratio or validate backtest results

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Real-Time Sharpe Ratio Calculation

Current State: ⚠️ IMPOSSIBLE TO CALCULATE

Why?

• No executed trades: Can't measure returns without PnL
• No order fills: Predictions not converting to positions
• No position tracking: Unable to calculate portfolio volatility

What We Need

1. Executed Orders: Paper trading system must convert predictions → orders → fills
2. PnL Tracking: Record profit/loss per trade and aggregate
3. Position Management: Track open positions and their unrealized P&L
4. Risk-Free Rate: Define baseline (e.g., 0.02% daily for 5% annual T-bills)

Formula (When Data Available)

Sharpe Ratio = (Avg Daily Return - Risk-Free Rate) / Std Dev of Daily Returns

Example (from backtest):
- Avg Daily Return: 1.03% (31% monthly / 30 days)
- Risk-Free Rate: 0.02% (5% annual / 250 trading days)
- Std Dev: 0.138%
- Sharpe Ratio: (1.03% - 0.02%) / 0.138% = 7.32 ✅ (matches backtest)

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Issues and Anomalies

Critical Issues (Fix Immediately)

1. Paper trading stopped: Last prediction 1 hour ago, system inactive

   • Impact: No live validation, can't test production readiness
   • Action: Restart paper trading service or identify why it stopped

2. Zero order execution: 3,000 predictions → 0 orders

   • Impact: Unable to measure performance, validate backtest, or calculate Sharpe
   • Action: Check order submission logic, risk checks, or position sizing

3. Missing individual model predictions: All DQN/PPO/MAMBA-2/TFT votes NULL

   • Impact: Can't debug ensemble logic, assess model diversity, or validate weights
   • Action: Verify model loading, inference pipeline, or database logging

4. Wrong trading symbol: TEST_SYM instead of ES.FUT/NQ.FUT/ZN.FUT/6E.FUT

   • Impact: Not testing production instruments, no real market data
   • Action: Update symbol configuration to use actual futures contracts

Medium Priority Issues

5. High disagreement rate: 50.3% average (models not converging)

   • Impact: Ensemble lacks conviction, may lead to poor performance
   • Expected: <30% disagreement for confident predictions (from backtest analysis)
   • Action: Investigate model weights, verify all models are using same features

6. Excessive prediction frequency: ~3,000/day vs optimal 10-30/day

   • Impact: May lead to over-trading, high commission costs, poor Sharpe
   • Backtest Finding: <20 trades/day = 57.1% profitable vs 40% for high frequency
   • Action: Implement trade frequency throttling or signal filtering

7. Low average confidence: 49.9% (barely above random)

   • Impact: Weak signal conviction, may indicate broken ensemble logic
   • Expected: >60% confidence for actionable signals (from backtest top models)
   • Action: Validate ensemble aggregation formula, check model weights

8. Null inference latency: No timing measurements recorded

   • Impact: Can't validate <50μs target, optimize performance, or detect bottlenecks
   • Action: Enable latency tracking in ensemble coordinator

Low Priority (Monitor)

9. Backtesting service intermittent: Restarting status

   • Impact: May affect on-demand backtesting or validation
   • Action: Check logs, verify resource allocation

10. API Gateway ML endpoints unavailable: Warning in logs

    • Impact: May block hyperparameter tuning or model retraining
    • Action: Verify TLS connectivity to ML Training Service

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Recommendations

Immediate Actions (Today)

1. Restart paper trading: Identify why it stopped at 16:06:36 UTC

   # Check for errors in Trading Service logs
   docker-compose logs trading_service | grep -A 5 "16:06:36"
   
   # Restart if needed
   docker-compose restart trading_service
   

2. Enable model predictions: Fix NULL DQN/PPO/MAMBA-2/TFT votes

   # Verify model loading
   docker-compose logs trading_service | grep -E "(DQN|PPO|MAMBA|TFT|model)"
   
   # Check model cache initialization
   docker-compose logs trading_service | grep "model cache"
   

3. Switch to production symbols: Update configuration from TEST_SYM → ES.FUT/NQ.FUT

   # Check current symbol configuration
   psql postgresql://foxhunt:foxhunt_dev_password@localhost:5432/foxhunt \
     -c "SELECT DISTINCT symbol FROM ensemble_predictions ORDER BY symbol;"
   

4. Enable order execution: Verify paper trading order submission pipeline

   # Check if orders are being created
   psql postgresql://foxhunt:foxhunt_dev_password@localhost:5432/foxhunt \
     -c "SELECT COUNT(*), MAX(created_at) FROM orders WHERE account_id LIKE '%paper%';"
   

Short-Term Actions (This Week)

5. Implement trade frequency throttling: Limit to 10-30 predictions/day

   • Add signal strength filter (only trade when confidence >60%)
   • Implement cooldown period (minimum 30 minutes between trades per symbol)

6. Add latency tracking: Measure inference and aggregation time

   • Target: <50μs inference per model
   • Target: <10μs ensemble aggregation

7. Create monitoring dashboard: Real-time Grafana panel

   • Prediction rate (target: 10-30/day)
   • Win rate (rolling 100 trades, target: >55%)
   • Sharpe ratio (rolling 50 trades, target: >2.0)
   • Drawdown per model (alert: 0.5%, kill: 1.0%)

8. Validate backtest models: Confirm 8 production models are loaded

   # Check production model directory
   ls -lh /home/jgrusewski/Work/foxhunt/ml/trained_models/production/
   
   # Expected files (from backtest analysis):
   # - dqn_epoch_30.safetensors
   # - dqn_epoch_90.safetensors
   # - dqn_epoch_310.safetensors
   # - dqn_epoch_480.safetensors
   # - ppo_actor_epoch_130.safetensors
   # - ppo_actor_epoch_200.safetensors
   # - ppo_actor_epoch_290.safetensors
   # - ppo_actor_epoch_310.safetensors
   

Medium-Term Actions (Next 2 Weeks)

9. Implement risk framework: Automated kill switches

   • 1.0% per-model max drawdown → Auto-flatten
   • 2.0% ensemble max drawdown → Halt all trading
   • 55% rolling 100-trade win rate → Disable model

10. Out-of-sample validation: Test on Jan-Mar 2025 data

    • Goal: Sharpe >5.0, Win Rate >55%
    • If successful: Proceed to limited live (Week 5, $10K)

11. Position sizing implementation: 2% risk per trade

    • Max 3 simultaneous positions per model
    • Dynamic stop-loss based on ATR

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Monitoring Checklist (Every 5 Minutes)

• Paper trading active (predictions within last 5 minutes)
• Individual model predictions present (no NULL votes)
• Order execution happening (predictions → orders → fills)
• Win rate trending (alert if <50% over last 20 trades)
• Drawdown per model (alert 0.5%, kill 1.0%)
• Total exposure vs capital (max 3x leverage)
• Inference latency (<50μs target)
• Ensemble confidence (>60% for actionable signals)

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Performance Comparison

Industry Benchmarks

Metric	Our Target (Backtest)	Paper Trading (Current)	Typical HFT	Status
Sharpe Ratio	7.33	N/A	1.5-3.0	⚠️ UNMEASURED
Monthly Return	31.0%	N/A	2-5%	⚠️ UNMEASURED
Win Rate	58.5%	N/A	50-55%	⚠️ UNMEASURED
Max Drawdown	0.21%	0%	5-15%	⚠️ UNMEASURED
Trade Frequency	10-30/day	~3,000/day	100-1,000/day	❌ TOO HIGH

Key Observations

1. Infrastructure ready: All 9 services healthy, monitoring operational
2. Ensemble functional: Generating predictions (though not converting to trades)
3. Model pipeline broken: Individual models not providing inputs to ensemble
4. Zero validation: Can't measure Sharpe, win rate, or any performance metrics

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Next Agent Handoff

For Agent 124 (Follow-Up Validation)

Priority 1: Fix paper trading execution pipeline

• Restart paper trading if stopped
• Enable individual model predictions (fix NULL votes)
• Verify order execution (predictions → orders → fills)

Priority 2: Switch to production configuration

• Change from TEST_SYM to ES.FUT/NQ.FUT/ZN.FUT/6E.FUT
• Reduce prediction frequency from ~3,000/day to 10-30/day
• Implement signal strength filter (confidence >60%)

Priority 3: Measure real performance

• Calculate Sharpe ratio from paper trades
• Track win rate (rolling 100 trades)
• Monitor drawdown (per-model and ensemble)
• Compare to backtest expectations (Sharpe 7.33, WR 58.5%)

Files to Check:

• /home/jgrusewski/Work/foxhunt/services/trading_service/src/lib.rs - Order execution logic
• /home/jgrusewski/Work/foxhunt/ml/src/ensemble/coordinator_extended.rs - Model loading
• /home/jgrusewski/Work/foxhunt/config/ - Symbol configuration

Expected Outcome:

• Paper trading active with >10 trades executed
• Sharpe ratio >2.0 (Week 4 target from deployment timeline)
• Win rate >55% sustained
• Individual model predictions visible in database

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Conclusion

Status: ⚠️ PAPER TRADING VALIDATION INCOMPLETE

What's Working:

• ✅ Infrastructure: 9/9 services healthy, monitoring operational
• ✅ Ensemble framework: Generating predictions (though not optimal)
• ✅ Database: Storing predictions with proper schema
• ✅ Risk systems: Kill switch monitoring active

What's Broken:

• ❌ Paper trading execution: Zero orders from 3,000 predictions
• ❌ Individual models: DQN/PPO/MAMBA-2/TFT not providing predictions
• ❌ Performance measurement: Can't calculate Sharpe, validate backtest
• ❌ Symbol configuration: Trading TEST_SYM instead of production futures

Critical Next Steps:

1. Restart paper trading (stopped 1h ago)
2. Enable individual model predictions (all NULL)
3. Fix order execution pipeline (0% conversion rate)
4. Switch to production symbols (ES.FUT, NQ.FUT, ZN.FUT, 6E.FUT)

Expected Timeline:

• Today: Fix execution pipeline, restart paper trading
• This Week: Accumulate 50-100 trades for initial Sharpe calculation
• Next Week: Compare paper trading Sharpe (target >2.0) to backtest (7.33)
• Week 4-5: Decision point for limited live deployment ($10K)

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Report Generated: 2025-10-14 17:10:00 UTC Agent: Agent 123 (Paper Trading Validation) Total Time: 20 minutes Next Validation: 2025-10-15 (daily report) Status: ⚠️ NEEDS IMMEDIATE ATTENTION