chore: 移除不再使用的 ChanMacro、system、tests。

这些目录已废弃，从仓库中清理。

Co-authored-by: Cursor <cursoragent@cursor.com>

ChanMacro/tests/test_regime.py

@@ -1,109 +0,0 @@
-"""Test regime detector and validation."""
-import pytest
-from datetime import date
-import pandas as pd
-import numpy as np
-
-
-class TestRegimeDetector:
-    def test_detects_trend(self):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        r = d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 24))
-        assert r.regime == MarketRegime.TREND
-        assert r.confidence > 0.5
-
-    def test_detects_range(self):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        r = d.detect(50.0, 50.0, "LOW_VOL", date(2026, 6, 24))
-        assert r.regime in (MarketRegime.RANGE, MarketRegime.TREND)
-
-    def test_detects_panic(self):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        r = d.detect(15.0, 10.0, "EXPLOSIVE_VOL", date(2026, 6, 24))
-        assert r.regime == MarketRegime.PANIC
-
-    def test_2day_confirmation(self):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        # Day 1: RANGE
-        r1 = d.detect(50.0, 50.0, "LOW_VOL", date(2026, 6, 24))
-        assert r1.regime == MarketRegime.RANGE  # first run, no confirmation needed
-        # Day 2: still RANGE
-        r2 = d.detect(50.0, 50.0, "LOW_VOL", date(2026, 6, 25))
-        assert r2.regime == MarketRegime.RANGE
-        assert r2.confirmation_days == 2
-
-    def test_transition_needs_confirmation(self):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        # Establish TREND
-        d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 24))
-        d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 25))
-        # Day 3: weak scores → raw best = RANGE, but TREND should persist
-        r3 = d.detect(35.0, 40.0, "NORMAL_VOL", date(2026, 6, 26))
-        # First day of pending transition — should still be TREND
-        assert r3.regime == MarketRegime.TREND
-        assert d.pending_regime is not None
-
-    def test_version_is_stored(self):
-        from regime_detector import RegimeDetector
-        d = RegimeDetector(regime_version="v1_price_breadth_vol")
-        r = d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 24))
-        assert r.regime_version == "v1_price_breadth_vol"
-
-    def test_load_state(self, db_path):
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        d.load_state(db_path)
-        # DB has TREND for first 100 days, so most recent should load
-        assert d.current_regime is not None
-
-    def test_confidence_for_confirmed_regime(self):
-        """Confidence should be for the confirmed regime, not raw best."""
-        from regime_detector import RegimeDetector
-        from models import MarketRegime
-        d = RegimeDetector()
-        # Establish TREND
-        d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 24))
-        d.detect(75.0, 80.0, "NORMAL_VOL", date(2026, 6, 25))
-        # Now feed weak scores → raw best would be PANIC or RANGE
-        r = d.detect(15.0, 10.0, "EXPLOSIVE_VOL", date(2026, 6, 26))
-        # Should still report TREND (need 2 confirmations to switch)
-        assert r.regime == MarketRegime.TREND
-
-
-class TestTransitionValidator:
-    def test_stable_regime_passes(self):
-        from validation.transition_validator import TransitionValidator
-        # Create stable regime sequence: long periods
-        seq = pd.Series(
-            ["TREND"] * 50 + ["RANGE"] * 50 + ["PANIC"] * 40,
-            index=pd.date_range("2026-01-01", periods=140),
-        )
-        tv = TransitionValidator()
-        report = tv.validate(seq)
-        assert report.is_stable
-        assert report.avg_duration > 20
-        assert report.flip_rate < 0.05
-
-    def test_unstable_regime_fails(self):
-        from validation.transition_validator import TransitionValidator
-        # Create unstable sequence: flips every 2 days
-        seq = pd.Series(
-            ["TREND", "TREND", "RANGE", "RANGE", "TREND", "TREND",
-             "PANIC", "PANIC", "RANGE", "RANGE"] * 5,
-            index=pd.date_range("2026-01-01", periods=50),
-        )
-        tv = TransitionValidator()
-        report = tv.validate(seq)
-        assert not report.is_stable
-        assert report.flip_rate > 0.15