feat: 威科夫多周期选股引擎与中文图表界面

新增规则驱动的月/周/日结构识别、决策融合与交易计划，提供扫描 API、本地 K 线（成交量/MACD/吸筹区间标注）及回填调度；K 线无起始日时默认取最近 N 根。 Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-05 14:26:46 +08:00
parent cc95bbb638
commit 03851d2247
35 changed files with 3861 additions and 12 deletions
@@ -0,0 +1,63 @@
+"""Decision Engine contract tests — MTF facts must not be overwritten."""
+
+from ashare_dp.domain.wyckoff import DecisionSignal, EngineResult, WyckoffCycle, WyckoffEvent, WyckoffPhase
+from ashare_dp.wyckoff.decision import DecisionEngine
+
+
+def _er(name, payload, confidence=80.0, score=80.0, reasons=None):
+    return EngineResult(
+        name=name,
+        confidence=confidence,
+        score=score,
+        reasons=reasons or [],
+        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},
+        confidence=92,
+        score=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)
+
+    # Facts preserved
+    assert out.payload["facts"]["monthly"]["cycle"] == WyckoffCycle.DISTRIBUTION.value
+    assert out.payload["m_cycle"] == WyckoffCycle.DISTRIBUTION.value
+    assert out.payload["d_event"] == WyckoffEvent.SPRING.value
+    # Decision gated
+    assert out.payload["decision_signal"] == DecisionSignal.WATCH.value
+    assert out.payload["overall_score"] <= 55.0
+
+
+def test_bullish_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"], "entry_score": 92},
+        confidence=92,
+        score=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"] == DecisionSignal.STRONG_BUY.value
+    assert out.payload["stars"] >= 4