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>

tests/test_wyckoff_engines.py

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+"""Feature / Cycle pure-engine smoke tests (no DB)."""
+
+from datetime import date, timedelta
+
+from ashare_dp.domain.wyckoff import OHLCVFrame
+from ashare_dp.wyckoff.cycle import CycleEngine
+from ashare_dp.wyckoff.features import FeatureEngine
+
+
+def _synth_uptrend(n=120) -> OHLCVFrame:
+    base = date(2024, 1, 1)
+    closes = [100 + i * 0.5 for i in range(n)]
+    return OHLCVFrame(
+        ts_code="000001.SZ",
+        timeframe="1d",
+        trade_dates=[base + timedelta(days=i) for i in range(n)],
+        open=closes,
+        high=[c * 1.01 for c in closes],
+        low=[c * 0.99 for c in closes],
+        close=closes,
+        volume=[1_000_000 + i * 1000 for i in range(n)],
+    )
+
+
+def test_feature_engine_snapshot():
+    fe = FeatureEngine()
+    out = fe.run(_synth_uptrend())
+    assert out.name == "Feature"
+    assert "ma20" in out.payload
+    assert out.payload["bars"] == 120
+    assert out.confidence > 50
+
+
+def test_cycle_engine_markup_on_uptrend():
+    fe = FeatureEngine()
+    ce = CycleEngine()
+    feat = fe.run(_synth_uptrend(150))
+    # Use monthly timeframe rules
+    feat.payload["timeframe"] = "1M"
+    cyc = ce.run(feat, "1M")
+    assert cyc.payload["cycle"] in ("Markup", "Accumulation", "Unknown", "Distribution")
+    assert "cycle" in cyc.payload