refactor: rename stock-lab → stock (graduation)

- git mv stock-lab/ → stock/
- docker-compose.yml: 서비스 키 + container_name + build.context +
  frontend.depends_on + agent-office STOCK_LAB_URL → STOCK_URL
- agent-office/app: config.py, service_proxy.py, agents/stock.py, tests/
  STOCK_LAB_URL → STOCK_URL
- nginx/default.conf: proxy_pass http://stock-lab → http://stock (3 lines)
- CLAUDE.md / README.md / STATUS.md / scripts/ 문구 갱신
- stock/ 내부 자기 참조 갱신

lab 네이밍 정책 (feedback_lab_naming.md) graduation.
API URL / Python import / DB 파일명 변경 없음.

stock/app/screener/nodes/high52w.py

@@ -0,0 +1,30 @@
+"""52주 신고가 근접도 (룰 기반: 70% 미만 0점, 100% 도달 100점, 선형)."""
+
+import pandas as pd
+
+from .base import ScoreNode
+
+
+class High52WProximity(ScoreNode):
+    name  = "high52w"
+    label = "52주 신고가 근접도"
+    default_params = {"window_days": 252}
+    param_schema = {
+        "type": "object",
+        "properties": {
+            "window_days": {"type": "integer", "minimum": 60, "maximum": 504, "default": 252}
+        },
+    }
+
+    def compute(self, ctx, params: dict) -> pd.Series:
+        window = int(params.get("window_days", 252))
+        prices = ctx.prices
+        if prices.empty:
+            return pd.Series(dtype=float)
+
+        ordered = prices.sort_values("date")
+        last = ordered.groupby("ticker").tail(window)
+        agg = last.groupby("ticker").agg(close=("close", "last"), high=("high", "max"))
+        proximity = (agg["close"] / agg["high"]).clip(upper=1.0)
+        score = ((proximity - 0.7) / 0.3).clip(lower=0.0, upper=1.0) * 100.0
+        return score.fillna(0.0)