foxhunt/AGENT_WIRE03_REGIME_INTEGRATION_AUDIT.md

AGENT WIRE-03: Regime Detection Production Integration Audit

Agent: WIRE-03 Mission: Verify Wave D regime detection is actually used in production trading decisions Status: 🔴 CRITICAL INTEGRATION GAP IDENTIFIED Date: 2025-10-19 Severity: HIGH - Regime detection exists but not integrated into trading pipeline

---

Executive Summary

Wave D regime detection infrastructure (24 features, indices 201-224) has been successfully implemented with 99.4% test coverage and production-ready performance. However, regime detection is NOT currently integrated into the actual trading decision pipeline.

Critical Finding

✅ Infrastructure Complete: Regime detection modules, features, database tables, gRPC endpoints ❌ Integration Missing: Regime states are NOT being written to database during live trading ❌ Decision Impact: Position sizing and stop-loss adjustments are NOT using regime multipliers

Impact: Wave D's primary value proposition (regime-adaptive trading) is not operational in production.

---

Detailed Audit Results

1. Regime Detection Infrastructure ✅ COMPLETE

Status: All components implemented and tested

1.1 Regime Detection Modules (Phase 1: D1-D8)

• ✅ CUSUM detection (ml/src/regime/cusum.rs)
• ✅ PAGES test (ml/src/regime/pages_test.rs)
• ✅ Bayesian changepoint (ml/src/regime/bayesian_changepoint.rs)
• ✅ Regime classification (ml/src/regime/regime_classifier.rs)
• ✅ Transition matrix (ml/src/regime/transition_matrix.rs)

Performance: 467x faster than target (9.32ns-92.45ns actual vs 50μs target)

1.2 Regime Features (Phase 3: D13-D16)

• ✅ 24 features extracted (indices 201-224)
• ✅ Feature extraction validated with real Databento data
• ✅ Performance: <50μs target achieved

Files:

• /home/jgrusewski/Work/foxhunt/ml/src/features/regime_adaptive.rs (221-224)
• /home/jgrusewski/Work/foxhunt/ml/src/features/cusum_statistics.rs (201-210)
• /home/jgrusewski/Work/foxhunt/ml/src/features/adx_directional.rs (211-215)

1.3 Database Infrastructure (Phase 4: D17-D40)

✅ Tables Created (migration 045_regime_detection.sql):

- regime_states: Stores current regime per symbol
- regime_transitions: Tracks regime changes over time
- adaptive_strategy_metrics: Performance tracking per regime

✅ Helper Functions:

DatabasePool::insert_regime_state()
DatabasePool::insert_regime_transition()
DatabasePool::get_latest_regime()
DatabasePool::get_regime_transitions()

Location: /home/jgrusewski/Work/foxhunt/common/src/database.rs:400-520

1.4 gRPC API (Phase 4: D17-D40)

✅ Endpoints Implemented:

rpc GetRegimeState(GetRegimeStateRequest) returns (GetRegimeStateResponse);
rpc GetRegimeTransitions(GetRegimeTransitionsRequest) returns (GetRegimeTransitionsResponse);

✅ Routing Validated:

• API Gateway proxy: /home/jgrusewski/Work/foxhunt/services/api_gateway/src/grpc/trading_proxy.rs:2362
• Trading Service handler: /home/jgrusewski/Work/foxhunt/services/trading_service/src/services/trading.rs:1040

1.5 TLI Commands (Phase 4: D17-D40)

✅ Commands Available:

tli trade ml regime --symbol ES.FUT
tli trade ml transitions --symbol ES.FUT --limit 10
tli trade ml adaptive-metrics --symbol ES.FUT

Location: /home/jgrusewski/Work/foxhunt/tli/src/commands/trade_ml.rs:177-907

---

2. Regime-Adaptive Position Sizing ⚠️ IMPLEMENTED BUT NOT USED

Status: Code exists, but not called in production trading flow

2.1 Position Size Multipliers (DEFINED)

Location: /home/jgrusewski/Work/foxhunt/ml/src/features/regime_adaptive.rs:75-82

const POSITION_MULTIPLIERS: [(MarketRegime, f64); 7] = [
    (MarketRegime::Normal, 1.0),         // Baseline
    (MarketRegime::Trending, 1.5),       // 50% increase
    (MarketRegime::Sideways, 0.8),       // 20% reduction
    (MarketRegime::Bull, 1.2),           // 20% increase
    (MarketRegime::Bear, 0.7),           // 30% reduction
    (MarketRegime::HighVolatility, 0.5), // 50% reduction
    (MarketRegime::Crisis, 0.2),         // 80% reduction (max safety)
];

2.2 Stop-Loss Multipliers (DEFINED)

Location: /home/jgrusewski/Work/foxhunt/ml/src/features/regime_adaptive.rs:90-97

const STOPLOSS_MULTIPLIERS: [(MarketRegime, f64); 7] = [
    (MarketRegime::Normal, 2.0),         // Standard 2x ATR
    (MarketRegime::Trending, 2.5),       // Wider to avoid whipsaws
    (MarketRegime::Sideways, 1.5),       // Tighter in ranges
    (MarketRegime::Bull, 2.0),           // Standard
    (MarketRegime::Bear, 2.5),           // Wider in bear markets
    (MarketRegime::HighVolatility, 3.0), // Wide for volatility
    (MarketRegime::Crisis, 4.0),         // Very wide to avoid panic
];

2.3 Integration Status: ❌ NOT USED

Search Results:

# Position sizing in trading service does NOT check regime
File: services/trading_service/src/state.rs:425-474
Function: calculate_position_size()

Result: Uses confidence and disagreement_rate, but NOT regime multipliers

Code Analysis:

// CURRENT IMPLEMENTATION (services/trading_service/src/state.rs:425)
async fn calculate_position_size(
    &self,
    _symbol: &str,
    confidence: f64,
    disagreement_rate: f64,
) -> TradingServiceResult<u64> {
    let base_size: u64 = 100;
    let confidence_multiplier = ((confidence - 0.5) * 2.0).max(0.0).min(1.0);
    let disagreement_penalty = 1.0 - disagreement_rate;

    // ❌ NO REGIME MULTIPLIER APPLIED
    let position_size = (base_size as f64 * confidence_multiplier * disagreement_penalty) as u64;

    Ok(position_size.max(10))
}

Expected Implementation:

// SHOULD BE (regime-aware):
async fn calculate_position_size(
    &self,
    symbol: &str,
    confidence: f64,
    disagreement_rate: f64,
) -> TradingServiceResult<u64> {
    let base_size: u64 = 100;

    // 1. Get current regime
    let regime = self.db_pool.get_latest_regime(symbol).await?;

    // 2. Apply regime multiplier
    let regime_multiplier = get_regime_position_multiplier(&regime.regime);

    // 3. Calculate final size
    let confidence_multiplier = ((confidence - 0.5) * 2.0).max(0.0).min(1.0);
    let disagreement_penalty = 1.0 - disagreement_rate;

    let position_size = (base_size as f64
        * confidence_multiplier
        * disagreement_penalty
        * regime_multiplier) as u64;  // ← MISSING

    Ok(position_size.max(10))
}

---

3. Regime Detection Execution Status ❌ NOT RUNNING

Database Evidence:

SELECT COUNT(*) FROM regime_states;
-- Result: 0 rows

SELECT COUNT(*) FROM regime_transitions;
-- Result: 0 rows

Conclusion: Regime detection modules are never being called in production trading flow.

---

Gap Summary: Regime Detection vs Trading Pipeline

Component	Status	Production Use	Evidence
Infrastructure
Regime detection modules	✅ Complete	❌ Not called	0 DB rows
Regime features (201-224)	✅ Complete	⚠️ Extracted but not used	In feature vector
Database tables	✅ Created	❌ Empty	0 rows in all 3 tables
gRPC endpoints	✅ Implemented	❌ Never called	No production usage
TLI commands	✅ Implemented	❌ Never called	No production usage
Decision Logic
Position size multipliers	✅ Defined	❌ Not applied	Code review
Stop-loss multipliers	✅ Defined	❌ Not applied	Code review
Regime-adaptive ML weights	✅ Implemented	❌ Not used	AdaptiveMLEnsemble unused
Regime state persistence	✅ Helper exists	❌ Never called	0 DB inserts
Regime transition tracking	✅ Helper exists	❌ Never called	0 DB inserts

---

Root Cause Analysis

Why Regime Detection Isn't Integrated

1. Two Separate Ensemble Systems:

   • EnsembleCoordinator (basic, used in production)
   • AdaptiveMLEnsemble (regime-aware, only in tests)
   • No bridge between them

2. Missing Market Data Hook:

   • Market data ingestion does NOT trigger regime detection
   • No periodic regime update task
   • No database writes on regime changes

3. Position Sizing Disconnect:

   • calculate_position_size() uses confidence/disagreement
   • Does NOT query regime state
   • Does NOT apply regime multipliers

4. Feature Extraction Only:

   • Regime features (201-224) are extracted
   • But regime state is not tracked or acted upon
   • Features feed into ML model, but trading logic ignores regime

---

Production Readiness Assessment

Infrastructure: ✅ 99.4% Ready

• All components built and tested
• Performance exceeds targets (432x improvement)
• Database schema deployed
• gRPC API operational

Integration: ❌ 0% Ready

• Regime detection never called in production flow
• Database tables empty (0 regime states, 0 transitions)
• Position sizing ignores regime multipliers
• Ensemble coordinator not regime-aware

Overall: ⚠️ 50% Ready

• Can extract features: YES (225 features including regime)
• Can detect regimes: YES (modules work in isolation)
• Does affect trading: NO (not integrated)

---

Recommendations

Priority 1: IMMEDIATE (1-2 days)

1. Wire Regime Detection to Market Data Pipeline
2. Integrate Regime Multipliers in Position Sizing
3. Switch to AdaptiveMLEnsemble

Priority 2: VALIDATION (1 week)

4. End-to-End Integration Test
5. Production Smoke Test

Priority 3: MONITORING (1 week)

6. Grafana Dashboards
7. Prometheus Alerts

---

END OF AUDIT REPORT