feat(stock-lab): MaAlignment 노드 — 이평선 정배열 5조건 룰 점수

stock-lab/app/test_screener_nodes_ma_alignment.py

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+import datetime as dt
+import pandas as pd
+
+from app.screener.engine import ScreenContext
+from app.screener.nodes.ma_alignment import MaAlignment
+from app.screener._test_fixtures import make_master, make_prices, make_flow
+
+
+def _ctx(master, prices, flow):
+    return ScreenContext(master=master, prices=prices, flow=flow,
+                         kospi=pd.Series(dtype=float, name="kospi"),
+                         asof=dt.date(2026, 5, 12))
+
+
+def test_strong_uptrend_returns_100():
+    asof = dt.date(2026, 5, 12)
+    master = make_master(["UP"])
+    prices = make_prices(["UP"], days=260, asof=asof, start_close=50000, trend_pct=0.2)
+    flow = make_flow(["UP"], days=260, asof=asof)
+    out = MaAlignment().compute(_ctx(master, prices, flow), MaAlignment.default_params)
+    assert out["UP"] == 100.0
+
+
+def test_downtrend_returns_low():
+    asof = dt.date(2026, 5, 12)
+    master = make_master(["DN"])
+    prices = make_prices(["DN"], days=260, asof=asof, start_close=100000, trend_pct=-0.1)
+    flow = make_flow(["DN"], days=260, asof=asof)
+    out = MaAlignment().compute(_ctx(master, prices, flow), MaAlignment.default_params)
+    assert out["DN"] <= 20.0