EPIC: Phase 2 - Complete Grid Exit Strategy

Epic ID: EPIC-002
Status: ✅ COMPLETE
Priority: P0 - CRITICAL
Actual Effort: ~50 hours
Dependencies: Phase 1 (COMPLETE - metrics implemented, PR#6 merged)
Completion Date: 2026-02-16

✅ Completion Summary

All 6 stories completed and merged to main:

Story	Status	Tests	Coverage	Completion
2.1: LATEST_ACCEPTABLE_EXIT Triggers	✅ COMPLETE	35+ tests	95%+	2026-02-03
2.2: WARNING Triggers	✅ COMPLETE	20+ tests	92%+	2026-02-03
2.3: State Transition Tracking	✅ COMPLETE	18+ tests	88%+	2026-02-03
2.4: Historical Data Loading	✅ COMPLETE	15+ tests	94%+	2026-02-16
2.5: Integration & E2E Testing	✅ COMPLETE	10+ scenarios	N/A	2026-02-03
2.6: Configuration & Documentation	✅ COMPLETE	22+ tests	91%+	2026-02-02

Key Deliverables:

9 trigger conditions across WARNING and LATEST_ACCEPTABLE_EXIT states
120+ comprehensive tests (unit + integration)
Strict mode validation (no fallbacks, fail-fast errors)
Rate limiting for notifications
Full configuration system with JSON schema validation

See: PHASE-2-COMPLETION-SUMMARY.md for full details.

Epic Overview

Implement the complete Grid Exit Strategy with tiered exit states (WARNING → LATEST_ACCEPTABLE_EXIT → MANDATORY_EXIT), state transition tracking, and historical data loading. This is the core value proposition of the regime management system - enabling profitable grid trading at scale by identifying regime breaks before they destroy accumulated profits.

Final State: ✅ COMPLETE - All 6 user stories delivered with comprehensive testing (120+ tests, 90%+ coverage). Exit strategy system is production-ready with strict validation, fail-fast error handling, and comprehensive integration tests. All acceptance criteria met.

Key Achievement: Removed ~100 lines of fallback complexity while improving reliability through strict validation. System now fails fast with clear errors instead of silently degrading.

Success Criteria

Functional Requirements

✅ All 3 exit states implemented (WARNING, LATEST_ACCEPTABLE_EXIT, MANDATORY_EXIT)
✅ State transition tracking in Git with rate limiting
✅ Historical data loading (last 12-24 hours of metrics)
✅ Multi-timeframe analysis (1h + 4h bars)
✅ Configurable thresholds via YAML

Quality Requirements

✅ 90%+ test coverage for exit strategy code
✅ Integration tests for full flow (metrics → triggers → notifications)
✅ Real data validation against last 7 days of metrics
✅ All tests passing in CI/CD

Acceptance Criteria

WARNING triggers when 2+ warning conditions met (not single condition)
LATEST_ACCEPTABLE_EXIT triggers on regime persistence, mean reversion degradation, volatility expansion, or z-score reversion failure
MANDATORY_EXIT triggers on confirmed TREND or boundary violations
State transitions logged to Git with timestamps and reasons
Notification rate limiting prevents spam
Manual validation shows reasonable exit state progression in real data

Stories

Story 2.1: Implement LATEST_ACCEPTABLE_EXIT Triggers

Story ID: STORY-2.1
Priority: P0
Effort: 8-12 hours
Assignee: TBD

Description

Implement all 4 trigger conditions for LATEST_ACCEPTABLE_EXIT state:

TRANSITION persistence tracking (≥2 consecutive 4h bars OR ≥4 consecutive 1h bars)
Mean reversion degradation (OU half-life ≥ 2× baseline)
Volatility expansion ratio > 1.25
Z-score reversion failure

Acceptance Criteria

All 4 trigger functions implemented in src/exit_strategy/triggers/latest_acceptable.py
Each trigger is independently testable
Configurable thresholds via YAML configuration
Unit tests for each trigger (90%+ coverage)
Triggers return (triggered: bool, reason: str) tuples
Tests cover edge cases (missing data, boundary conditions)

Technical Details

File to Create: src/exit_strategy/triggers/latest_acceptable.py

Functions Required:

def check_transition_persistence(history: List[Dict]) -> Tuple[bool, str]:
    """
    Trigger if:
    - ≥2 consecutive 4h bars with TRANSITION verdict, OR
    - ≥4 consecutive 1h bars with TRANSITION verdict
    
    Args:
        history: List of recent metrics (last 12 hours)
    
    Returns:
        (triggered: bool, reason: str)
    """
    pass
 
def check_mean_reversion_degradation(
    current_half_life: float,
    baseline_half_life: float,
    threshold_multiplier: float = 2.0
) -> Tuple[bool, str]:
    """
    Trigger if OU half-life ≥ 2× baseline
    
    Baseline = 7-day rolling average during RANGE_OK
    """
    pass
 
def check_volatility_expansion(
    current_atr: float,
    baseline_atr: float,
    threshold: float = 1.25
) -> Tuple[bool, str]:
    """
    Trigger if volatility expansion ratio > 1.25
    """
    pass
 
def check_zscore_reversion_failure(
    price_history: List[float],
    lookback_bars: int = 6
) -> Tuple[bool, str]:
    """
    Trigger if Z-score excursions fail to revert within expected bars
    """
    pass

Test Requirements

Unit Tests (20+ test cases):

test_transition_persistence_4h_bars_triggers()
test_transition_persistence_1h_bars_triggers()
test_transition_persistence_insufficient_history()
test_mean_reversion_degradation_triggers_at_2x()
test_mean_reversion_degradation_below_threshold()
test_volatility_expansion_triggers_at_125()
test_volatility_expansion_below_threshold()
test_zscore_reversion_failure_triggers()
test_zscore_reversion_success_no_trigger()
Edge cases for each function

Definition of Done

Code reviewed and approved
All unit tests passing
Code coverage ≥90% for new code
Documentation complete (docstrings, type hints)
Configuration schema updated with new thresholds
Manually tested against real metrics data

Story 2.2: Implement WARNING Triggers

Story ID: STORY-2.2
Priority: P0
Effort: 4-6 hours
Assignee: TBD

Description

Implement WARNING state trigger logic requiring 2+ conditions to fire (not single condition). This prevents false alarms from single noisy indicators.

WARNING Conditions (require 2+ to trigger):

TRANSITION probability ≥ 40% (configurable)
Regime confidence declining over 3 bars
Efficiency Ratio rising above 0.6 (configurable)
Mean reversion speed slowing
Volatility expansion 1.1-1.25×

Acceptance Criteria

evaluate_warning_conditions() function implemented in src/exit_strategy/triggers/warning.py
Requires 2+ conditions to trigger WARNING (NOT single condition)
All 5 condition checks implemented
Configurable thresholds via YAML
Unit tests cover edge cases (0, 1, 2, 5 conditions met)
Returns (ExitState, List[str]) with reasons for conditions met

Technical Details

File to Create: src/exit_strategy/triggers/warning.py

Function Signature:

def evaluate_warning_conditions(
    regime_history: List[Dict], 
    config: Dict
) -> Tuple[ExitState, List[str]]:
    """
    Evaluate all warning conditions.
    
    Returns WARNING if 2+ conditions met, else NORMAL.
    
    Args:
        regime_history: List of recent regime evaluations
        config: Configuration dict with thresholds
    
    Returns:
        (ExitState, reasons: List[str])
    """
    conditions_met = []
    
    # Check each condition...
    if transition_probability >= config['warning_transition_threshold']:
        conditions_met.append("TRANSITION probability rising")
    
    if regime_confidence_declining(regime_history, bars=3):
        conditions_met.append("Regime confidence declining")
    
    # ... check other 3 conditions ...
    
    if len(conditions_met) >= 2:
        return ExitState.WARNING, conditions_met
    else:
        return ExitState.NORMAL, ["Single warning condition - not actionable"]

Test Requirements

Unit Tests (15+ test cases):

test_warning_requires_2_conditions() - 1 condition should NOT trigger
test_warning_triggers_with_2_conditions()
test_warning_triggers_with_all_5_conditions()
test_transition_probability_condition()
test_confidence_decline_condition()
test_efficiency_ratio_condition()
test_mean_reversion_slowing_condition()
test_volatility_expansion_condition()
Edge cases (missing data, boundary values)

Definition of Done

Code reviewed and approved
All unit tests passing
Code coverage ≥90%
Documentation complete
Configuration schema includes WARNING thresholds
Manually validated: 1 condition = NORMAL, 2 conditions = WARNING

Story 2.3: State Transition Tracking & Rate Limiting

Story ID: STORY-2.3
Priority: P0
Effort: 4-6 hours
Assignee: TBD

Description

Implement state transition tracking in Git with rate limiting to prevent notification spam. Track when exit states change (NORMAL → WARNING → LATEST_ACCEPTABLE_EXIT → MANDATORY_EXIT) with timestamps and reasons.

Acceptance Criteria

State transitions logged to Git in market-maker-data/exit_states/{symbol}/
Daily JSON files with transition history
Rate limiting prevents notification spam:
- Max 1 WARNING per 4 hours for same grid
- Max 1 LATEST_ACCEPTABLE_EXIT per 2 hours
- Max 1 MANDATORY_EXIT per 1 hour
Can query: “When did we last alert for this grid?”
Unit tests for rate limiting logic (90%+ coverage)

Technical Details

File to Create: src/exit_strategy/state_tracker.py

Data Structure:

market-maker-data/
  exit_states/
    ETH-USDT/
      2026-02-01.json
      2026-02-02.json

JSON Format:

{
  "symbol": "ETH-USDT",
  "grid_id": "eth-grid-1",
  "date": "2026-02-01",
  "transitions": [
    {
      "timestamp": "2026-02-01T09:15:00Z",
      "from_state": "NORMAL",
      "to_state": "WARNING",
      "reasons": ["TRANSITION probability rising", "Confidence declining"],
      "regime_verdict": "RANGE_WEAK",
      "confidence": 0.48,
      "metrics": {
        "adx": 32.5,
        "efficiency_ratio": 0.68
      }
    },
    {
      "timestamp": "2026-02-01T12:00:00Z",
      "from_state": "WARNING",
      "to_state": "LATEST_ACCEPTABLE_EXIT",
      "reasons": ["TRANSITION persistence confirmed (4h bars)"],
      "regime_verdict": "TRANSITION",
      "confidence": 0.42
    }
  ],
  "last_notification": {
    "WARNING": "2026-02-01T09:15:00Z",
    "LATEST_ACCEPTABLE_EXIT": "2026-02-01T12:00:00Z",
    "MANDATORY_EXIT": null
  }
}

Class Interface:

class StateTransitionTracker:
    def __init__(self, data_repo_path: Path):
        self.data_repo = data_repo_path
    
    def log_transition(
        self,
        symbol: str,
        grid_id: str,
        from_state: ExitState,
        to_state: ExitState,
        reasons: List[str],
        regime_verdict: str,
        confidence: float,
        metrics: Dict
    ) -> None:
        """Log state transition to Git"""
        pass
    
    def should_notify(
        self,
        symbol: str,
        grid_id: str,
        exit_state: ExitState
    ) -> bool:
        """
        Check if enough time has passed since last notification
        
        Rate limits:
        - WARNING: 4 hours
        - LATEST_ACCEPTABLE_EXIT: 2 hours
        - MANDATORY_EXIT: 1 hour
        """
        pass
    
    def get_current_state(
        self,
        symbol: str,
        grid_id: str
    ) -> Optional[ExitState]:
        """Get current exit state from history"""
        pass

Test Requirements

Unit Tests (12+ test cases):

test_log_transition_creates_file()
test_log_transition_appends_to_existing_file()
test_should_notify_warning_rate_limit()
test_should_notify_latest_acceptable_rate_limit()
test_should_notify_mandatory_rate_limit()
test_should_notify_different_grids_independent()
test_get_current_state_returns_latest()
test_get_current_state_no_history_returns_none()
Edge cases (file corruption, missing data)

Definition of Done

Story 2.4: Historical Data Loading

Story ID: STORY-2.4
Priority: P0
Effort: 4-6 hours
Assignee: TBD

Description

Implement historical data loading to fetch last 12-24 hours of metrics for persistence checks and multi-timeframe analysis. Include caching for performance.

Acceptance Criteria

Can load last N hours of metrics from Git repository
Multi-timeframe extraction (1h bars, 4h bars)
Caching reduces duplicate Git reads (last 24h in memory)
Cache invalidation on new metrics arrival
Unit tests with mocked file system (90%+ coverage)

Technical Details

File to Create: src/exit_strategy/history_loader.py

Class Interface:

class MetricsHistoryLoader:
    def __init__(self, data_repo_path: Path):
        self.data_repo = data_repo_path
        self._cache: Dict[str, List[Dict]] = {}
        self._cache_timestamp: Dict[str, datetime] = {}
    
    def load_recent_metrics(
        self,
        symbol: str,
        hours: int = 12
    ) -> List[Dict]:
        """
        Load last N hours of metrics for persistence checks
        
        Returns sorted list (oldest first)
        """
        # Check cache first
        if self._is_cache_valid(symbol, hours):
            return self._cache[symbol]
        
        # Load from Git
        metrics = self._load_from_git(symbol, hours)
        
        # Update cache
        self._cache[symbol] = metrics
        self._cache_timestamp[symbol] = datetime.utcnow()
        
        return metrics
    
    def get_4h_bars(self, metrics_history: List[Dict]) -> List[Dict]:
        """
        Extract 4h bar data for structural confirmation
        
        Returns metrics at 0:00, 4:00, 8:00, 12:00, 16:00, 20:00
        """
        pass
    
    def get_1h_bars(self, metrics_history: List[Dict]) -> List[Dict]:
        """
        Extract 1h bar data for rapid detection
        
        Returns all hourly metrics
        """
        pass
    
    def invalidate_cache(self, symbol: str) -> None:
        """Invalidate cache when new metrics arrive"""
        if symbol in self._cache:
            del self._cache[symbol]
            del self._cache_timestamp[symbol]

Test Requirements

Unit Tests (15+ test cases):

test_load_recent_metrics_from_git()
test_load_recent_metrics_uses_cache()
test_cache_invalidation_forces_reload()
test_get_4h_bars_extracts_correct_hours()
test_get_1h_bars_returns_all_metrics()
test_load_with_missing_files()
test_load_with_insufficient_history()
test_cache_timestamp_tracking()
Edge cases (empty directory, corrupted files)

Definition of Done

Code reviewed and approved
All unit tests passing (with mocked file system)
Code coverage ≥90%
Caching reduces Git reads (verified via logging)
Documentation complete
Manually tested with real metrics directory

Story 2.5: Integration & End-to-End Testing

Story ID: STORY-2.5
Priority: P0
Effort: 8-12 hours
Assignee: TBD

Description

Wire up all triggers in the exit state evaluator and create comprehensive integration tests for the full flow: metrics → history loading → trigger evaluation → state classification → notification.

Acceptance Criteria

All triggers integrated into ExitStateEvaluator.evaluate()
Correct priority: MANDATORY → LATEST_ACCEPTABLE → WARNING → NORMAL
Integration tests for full flow (5+ test scenarios)
Test state transitions: NORMAL → WARNING → LATEST_ACCEPTABLE → MANDATORY
Test notification prevention (rate limiting integration)
Real data validation: Run against last 7 days of actual metrics
Manual validation: Exit states make sense for historical data

Technical Details

Files to Modify:

src/exit_strategy/evaluator.py - Wire up all triggers

Integration Test Scenarios:

Happy Path: NORMAL → WARNING → LATEST_ACCEPTABLE_EXIT → MANDATORY_EXIT
- Start with RANGE_OK regime
- Simulate regime degradation over 12 hours
- Verify state transitions occur at correct points
- Verify notifications sent (with rate limiting)
WARNING Requires 2+ Conditions
- Provide metrics with only 1 warning condition
- Verify state stays NORMAL
- Add second warning condition
- Verify state transitions to WARNING
Rate Limiting Prevents Spam
- Trigger WARNING multiple times within 4 hours
- Verify only first notification sent
- Advance time beyond 4 hours
- Verify second notification sent
LATEST_ACCEPTABLE_EXIT Triggers
- Test each of 4 trigger conditions independently
- Verify state transitions to LATEST_ACCEPTABLE_EXIT
- Verify reasons logged correctly
Real Data Validation
- Load last 7 days of metrics from market-maker-data/
- Run exit evaluator on each hour
- Verify exit states are reasonable (no wild oscillations)
- Identify any false positives/negatives

Test File: tests/integration/test_exit_strategy_flow.py

Test Requirements

Integration Tests (5+ scenarios, 20+ assertions):

test_full_state_progression_normal_to_mandatory()
test_warning_requires_multiple_conditions()
test_rate_limiting_prevents_spam()
test_latest_acceptable_triggers_independently()
test_real_data_validation()
Performance test (evaluate 168 hours in <5 seconds)

Definition of Done

All triggers wired into evaluator
Integration tests passing
Real data validation complete
No wild state oscillations in historical data
Performance acceptable (<1 second per evaluation)
Code reviewed and approved

Story 2.6: Configuration & Documentation

Story ID: STORY-2.6
Priority: P0
Effort: 4-6 hours
Assignee: TBD

Description

Create comprehensive YAML configuration for all exit strategy thresholds and document trigger logic, tuning recommendations, and usage.

Acceptance Criteria

YAML configuration file with all thresholds
Configuration validated on load (schema validation)
Documentation explains trigger logic
Tuning recommendations included
Example configurations for conservative/aggressive settings
README updated with exit strategy overview

Technical Details

File to Create: config/exit_strategy_config.yaml

exit_rules:
  latest_acceptable_exit:
    transition_persistence_4h_bars: 2
    transition_persistence_1h_bars: 4
    mean_reversion_halflife_multiplier: 2.0
    volatility_expansion_threshold: 1.25
    zscore_reversion_failure_bars: 6
    
  warning:
    minimum_conditions_required: 2  # CRITICAL: Prevents single-condition false alarms
    transition_probability_threshold: 0.40
    regime_confidence_decline_bars: 3
    efficiency_ratio_threshold: 0.6
    mean_reversion_slowdown_threshold: 1.5  # Half-life increase ratio
    volatility_expansion_min: 1.10
    volatility_expansion_max: 1.25
    
  mandatory_exit:
    consecutive_closes_outside_range: 2
    directional_swing_bars: 6
    stop_loss_buffer_atr: 0.1
    
notifications:
  rate_limits:
    warning_min_hours: 4
    latest_acceptable_min_hours: 2
    mandatory_min_hours: 1
 
# Tuning presets
presets:
  conservative:
    # Earlier warnings, tighter thresholds
    warning.transition_probability_threshold: 0.30
    warning.minimum_conditions_required: 2
    latest_acceptable_exit.volatility_expansion_threshold: 1.15
    
  aggressive:
    # Later warnings, looser thresholds
    warning.transition_probability_threshold: 0.50
    warning.minimum_conditions_required: 3
    latest_acceptable_exit.volatility_expansion_threshold: 1.35

Documentation Files:

docs/exit-strategy-triggers.md - Detailed trigger logic
docs/exit-strategy-tuning.md - Tuning recommendations
README.md - Updated with Phase 2 completion notes

Documentation Requirements

Exit Strategy Triggers Doc:

Explain each exit state (WARNING, LATEST_ACCEPTABLE_EXIT, MANDATORY_EXIT)
Document trigger conditions for each state
Provide examples with real metrics
Explain why 2+ conditions required for WARNING

Tuning Guide:

Conservative vs aggressive presets
How to adjust thresholds based on validation results
Expected false positive/negative rates
Backtesting recommendations

README Updates:

Phase 2 completion status
Exit strategy overview
Quick start guide for configuration

Definition of Done

Configuration file created and validated
Schema validation implemented
Documentation complete (3 files)
Examples included for conservative/aggressive settings
Code reviewed and approved
Documentation reviewed for clarity

Epic Completion Checklist

Dependencies & Risks

Dependencies:

✅ Phase 1 COMPLETE (metrics implemented, PR#6 merged)
Market-maker-data repository accessible
KuCoin API working (for future position tracking in Phase 3)

Risks:

R001: Real data validation reveals excessive false positives
- Mitigation: Tunable thresholds via YAML, conservative presets available
R002: Multi-timeframe analysis adds complexity
- Mitigation: Simple 1h/4h extraction, well-tested
R003: Git state tracking file conflicts
- Mitigation: Daily files per symbol, atomic commits

Assumptions (see RAIA log):

A001: 1-hour evaluation cadence provides sufficient warning time
- Validation: Will be tested during Phase 2 integration testing

Next Steps After Epic Completion

Phase 3: Position Risk Quantification (30-40h)
- KuCoin position tracker
- Capital risk calculator
- Enhanced notifications with risk metrics
Phase 4: Testing & Validation (40-50h)
- Comprehensive test coverage
- Backtesting framework
- CI/CD integration
Phase 5: Operational Improvements (20-30h)
- Audit logging
- KPI tracking
- Documentation for investors

Epic Owner: Craig
Created: 2026-02-01
Last Updated: 2026-02-01

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EPIC Phase 2 Exit Strategy

EPIC: Phase 2 - Complete Grid Exit Strategy

✅ Completion Summary

Epic Overview

Success Criteria

Functional Requirements

Quality Requirements

Acceptance Criteria

Stories

Story 2.1: Implement LATEST_ACCEPTABLE_EXIT Triggers

Description

Acceptance Criteria

Technical Details

Test Requirements

Definition of Done

Story 2.2: Implement WARNING Triggers

Description

Acceptance Criteria

Technical Details

Test Requirements

Definition of Done

Story 2.3: State Transition Tracking & Rate Limiting

Description

Acceptance Criteria

Technical Details

Test Requirements

Definition of Done

Story 2.4: Historical Data Loading

Description

Acceptance Criteria

Technical Details

Test Requirements

Definition of Done

Story 2.5: Integration & End-to-End Testing

Description

Acceptance Criteria

Technical Details

Test Requirements

Definition of Done

Story 2.6: Configuration & Documentation

Description

Acceptance Criteria

Technical Details

Documentation Requirements

Definition of Done

Epic Completion Checklist

Dependencies & Risks

Next Steps After Epic Completion

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