feat(ECR-009): Crypto Wyckoff Screener 独立页（D/W/M）

移植 A_Share_DP 引擎；本地缓存与 60s tip；月线由日线 UTC 聚合；不碰主站 analyze/缠论叠层。 Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-07 15:46:35 +08:00
parent 6c627f009a
commit ec08de098e
34 changed files with 3212 additions and 9 deletions
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+"""Decision engine MTF gate tests (ported semantics)."""
+
+from crypto_wyckoff.domain_models import (
+    DecisionSignal,
+    EngineResult,
+    WyckoffCycle,
+    WyckoffEvent,
+    WyckoffPhase,
+)
+from crypto_wyckoff.decision import DecisionEngine
+
+
+def _er(name, payload, score=70, confidence=70):
+    return EngineResult(name=name, score=score, confidence=confidence, payload=payload)
+
+
+def test_monthly_distribution_daily_spring_is_watch():
+    eng = DecisionEngine()
+    monthly = _er("Cycle", {"cycle": WyckoffCycle.DISTRIBUTION.value, "trend_score": 40}, score=40)
+    weekly_c = _er("Cycle", {"cycle": WyckoffCycle.ACCUMULATION.value, "trend_score": 70}, score=70)
+    weekly_p = _er(
+        "Phase",
+        {"phase": WyckoffPhase.B.value, "cycle": WyckoffCycle.ACCUMULATION.value, "structure_score": 65},
+        score=65,
+    )
+    weekly_e = _er("Event", {"current_event": WyckoffEvent.ST.value, "recent_events": ["SC", "AR", "ST"]}, score=60)
+    daily_e = _er(
+        "Event",
+        {"current_event": WyckoffEvent.SPRING.value, "recent_events": ["SC", "AR", "ST", "Spring"], "entry_score": 92},
+        score=92,
+        confidence=92,
+    )
+    daily_s = _er("Signal", {"signal_label": "Spring", "current_event": "Spring"}, confidence=92, score=92)
+    out = eng.run(monthly, weekly_c, weekly_p, weekly_e, daily_e, daily_s)
+    assert out.payload["decision_signal"] == DecisionSignal.WATCH.value
+    assert out.payload["d_event"] == WyckoffEvent.SPRING.value
+
+
+def test_bull_alignment_can_strong_buy():
+    eng = DecisionEngine()
+    monthly = _er("Cycle", {"cycle": WyckoffCycle.MARKUP.value, "trend_score": 90}, score=90, confidence=90)
+    weekly_c = _er("Cycle", {"cycle": WyckoffCycle.ACCUMULATION.value, "trend_score": 85}, score=85, confidence=85)
+    weekly_p = _er(
+        "Phase",
+        {"phase": WyckoffPhase.D.value, "cycle": WyckoffCycle.ACCUMULATION.value, "structure_score": 88},
+        score=88,
+        confidence=88,
+    )
+    weekly_e = _er("Event", {"current_event": WyckoffEvent.SOS.value, "recent_events": ["SOS"]}, score=85, confidence=85)
+    daily_e = _er(
+        "Event",
+        {
+            "current_event": WyckoffEvent.SPRING.value,
+            "recent_events": ["SC", "AR", "ST", "Spring", "Test"],
+            "active_events": ["SC", "AR", "ST", "Spring"],
+            "entry_score": 92,
+        },
+        score=92,
+        confidence=92,
+    )
+    daily_s = _er("Signal", {"signal_label": "Spring"}, confidence=92, score=92)
+    out = eng.run(monthly, weekly_c, weekly_p, weekly_e, daily_e, daily_s)
+    assert out.payload["decision_signal"] in (
+        DecisionSignal.STRONG_BUY.value,
+        DecisionSignal.BUY.value,
+    )