feat: 데이터 토대 + 정확도 검증 (AI 투자조직 Phase 0~1)

- score-engine: 일간리포트 텔레그램을 notify=True(16:30 1회)로 게이팅 → 호출마다
  발신되던 폭주 제거. 데이터 무결성 모니터(/data-health + 평일 매시간 경고).
  정확도 검증 하베스트(/accuracy + 주간 리포트) — 추천 등급별 실측 알파/적중률.
- ta-engine: job_analyze가 is_active=true 전 활성종목 시총순 커버(장중 상위500·
  장마감 전종목). 기존 LIMIT 500·무필터로 LS 등 누락되던 버그 수정.
- docs/ai_org.md: 데이터우선 마스터 기획(데이터→검증→지능→실행).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>

ta-engine/main.py

@@ -713,16 +713,31 @@ async def init_db():
 
 # ── 전체 분석 작업 ────────────────────────────────────────
 
-async def job_analyze():
-    logger.info("ta.job.start")
+async def job_analyze(limit: int = 500):
+    """limit>0: 시총 상위 N개(장중 경량). limit=0: 전 활성종목(장마감 풀커버).
+    is_active=true 필터 필수 — 상장폐지 제외 + LS 등 누락 방지."""
+    logger.info("ta.job.start", limit=limit)
     async with httpx.AsyncClient() as client:
         codes: List[tuple] = []
 
         if pg_pool:
             try:
-                rows = await pg_pool.fetch("SELECT stock_code, corp_name FROM dart_corps LIMIT 500")
+                q = """
+                    SELECT c.stock_code, c.corp_name
+                    FROM dart_corps c
+                    LEFT JOIN (
+                        SELECT DISTINCT ON (stock_code) stock_code, market_cap
+                        FROM stock_prices ORDER BY stock_code, collected_at DESC
+                    ) p ON p.stock_code = c.stock_code
+                    WHERE c.is_active = true
+                    ORDER BY COALESCE(p.market_cap, 0) DESC
+                """
+                if limit and limit > 0:
+                    q += f" LIMIT {int(limit)}"
+                rows = await pg_pool.fetch(q)
                 codes = [(r["stock_code"], r["corp_name"] or "") for r in rows if r["stock_code"]]
-            except: pass
+            except Exception as e:
+                logger.warning("ta.codes.err", error=str(e))
 
         if not codes:
             for sosok in [0, 1]:
@@ -740,7 +755,7 @@ async def job_analyze():
                     if len(codes) >= 500: break
 
         ok = 0
-        for code, name in codes[:500]:
+        for code, name in codes:
             if not code or len(code) != 6: continue
             try:
                 result = await analyze_stock(client, code, name)
@@ -748,11 +763,11 @@ async def job_analyze():
             except Exception as e:
                 stats.errors += 1
                 logger.warning("ta.analyze.err", code=code, error=str(e))
-            await asyncio.sleep(0.4)
+            await asyncio.sleep(0.2)
 
         stats.analyzed += ok
         stats.last_run = datetime.now().isoformat()
-        logger.info("ta.job.done", analyzed=ok)
+        logger.info("ta.job.done", analyzed=ok, requested=len(codes))
 
 # ── FastAPI ────────────────────────────────────────────────
 
@@ -768,9 +783,9 @@ async def startup():
     redis_cl = aioredis.Redis(
         host=REDIS_HOST, port=6379, password=REDIS_PASSWORD, db=5, decode_responses=True)
     await init_db()
-    scheduler.add_job(job_analyze, "cron", day_of_week="mon-fri",
+    scheduler.add_job(lambda: job_analyze(limit=500), "cron", day_of_week="mon-fri",
                       hour="9-16", minute="*/30", id="ta_30m", replace_existing=True)
-    scheduler.add_job(job_analyze, "cron", day_of_week="mon-fri",
+    scheduler.add_job(lambda: job_analyze(limit=0), "cron", day_of_week="mon-fri",
                       hour=16, minute=15, id="ta_close", replace_existing=True)
     scheduler.start()
     logger.info("ta-engine.started")
@@ -856,8 +871,8 @@ async def buy_candidates(limit: int = Query(default=20)):
     return result
 
 @app.post("/analyze/all")
-async def analyze_all():
-    asyncio.create_task(job_analyze())
+async def analyze_all(limit: int = 0):
+    asyncio.create_task(job_analyze(limit=limit))
     return {"status": "started"}
 
 @app.post("/analyze/{code}")