initial: import DOLPHIN baseline 2026-04-21 from dolphinng5_predict working tree

Includes core prod + GREEN/BLUE subsystems:
- prod/ (BLUE harness, configs, scripts, docs)
- nautilus_dolphin/ (GREEN Nautilus-native impl + dvae/ preserved)
- adaptive_exit/ (AEM engine + models/bucket_assignments.pkl)
- Observability/ (EsoF advisor, TUI, dashboards)
- external_factors/ (EsoF producer)
- mc_forewarning_qlabs_fork/ (MC regime/envelope)

Excludes runtime caches, logs, backups, and reproducible artifacts per .gitignore.

nautilus_dolphin/tests/test_volatility_detector.py

@@ -0,0 +1,61 @@
+"""Tests for VolatilityRegimeDetector."""
+
+import pytest
+import numpy as np
+from unittest.mock import Mock
+from nautilus_dolphin.nautilus.volatility_detector import VolatilityRegimeDetector
+
+
+class TestVolatilityRegimeDetector:
+    
+    def test_insufficient_data_returns_true(self):
+        """Permissive default when insufficient data."""
+        detector = VolatilityRegimeDetector(min_history=100)
+        assert detector.is_high_regime() == True
+        
+    def test_update_calculates_volatility(self):
+        """Test volatility calculation from bars."""
+        detector = VolatilityRegimeDetector(lookback_bars=50, min_history=10)
+        
+        # Generate synthetic bars with increasing volatility
+        for i in range(60):
+            bar = Mock()
+            bar.close = 100 + np.random.randn() * (1 + i * 0.1)
+            detector.update(bar)
+            
+        assert detector._current_vol is not None
+        assert len(detector._volatility_history) > 0
+        
+    def test_high_regime_detection(self):
+        """Test dual-threshold regime detection."""
+        detector = VolatilityRegimeDetector(lookback_bars=50, min_history=10)
+        
+        # Low volatility period
+        for i in range(30):
+            bar = Mock()
+            bar.close = 100 + np.random.randn() * 0.1
+            detector.update(bar)
+            
+        # High volatility period
+        for i in range(30):
+            bar = Mock()
+            bar.close = 100 + np.random.randn() * 5.0
+            detector.update(bar)
+            
+        # Should detect high regime
+        assert detector.is_high_regime() == True
+        
+    def test_regime_info(self):
+        """Test regime info dict."""
+        detector = VolatilityRegimeDetector(lookback_bars=50, min_history=10)
+        
+        for i in range(60):
+            bar = Mock()
+            bar.close = 100 + np.random.randn()
+            detector.update(bar)
+            
+        info = detector.get_regime_info()
+        assert 'status' in info
+        assert 'current_vol' in info
+        assert 'p50' in info
+        assert 'p75' in info