fix: GET /price/data — Alpaca → yfinance 교체 + bulk end_date 버그 2건 수정

- GET /price/data를 AlpacaPriceService 대신 PriceDataService(yfinance)로 교체
- ?ticker= alias 추가 (기존 ?tickers= 유지, 인터페이스 호환)
- _bulk_fetch_price_data: yfinance end 파라미터 exclusive 미반영 (+1일 누락) 수정
- get_multi_ticker_daily_bars: end_dt를 min.time(00:00) → max.time(23:59:59)으로 수정
  (DB 쿼리 date <= end_dt 에서 당일 레코드가 필터링되던 버그)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/api/v1/endpoints/price.py

@@ -23,7 +23,6 @@ from app.schemas.financial import (
     TodayOHLCResponse,
 )
 from app.services.price_data_service import PriceDataService
-from app.services.alpaca_price_service import AlpacaPriceService
 from app.schemas.financial import AlpacaMultiBarsResponse
 from app.core.config import settings
 from app.utils.date_utils import quarters_to_date_range
@@ -289,78 +288,69 @@ async def get_price_data(
 @router.get(
     "/data",
     response_model=AlpacaMultiBarsResponse,
-    summary="Get daily bars for multiple tickers via Alpaca (DB-backed)",
+    summary="Get daily bars for multiple tickers via yfinance (DB-backed)",
     description=(
-        "Fetch OHLCV daily bars for up to ~500 tickers. Results are stored in DB so "
+        "Fetch OHLCV daily bars for one or more tickers via Yahoo Finance (yfinance-plus). "
-        "subsequent calls only fetch new/missing dates from Alpaca.\n\n"
+        "Results are stored in DB; subsequent calls for the same range skip the external API.\n\n"
-        "- `tickers`: comma-separated list, e.g. `AAPL,MSFT,BF-B`\n"
+        "- `tickers` or `ticker`: comma-separated list, e.g. `AAPL,MSFT` or single `QQQ`\n"
-        "- Ticker normalization: `BF-B` → `BF.B` handled automatically; "
+        "- `force_refresh=true`: re-fetch from Yahoo Finance even if DB has data\n"
-        "response keys use the original symbol names.\n"
+        "- Up to 1000 tickers per request (auto-chunked internally)\n\n"
-        "- `force_refresh=true`: re-fetch all from Alpaca regardless of DB state.\n"
+        "**경로 파라미터 대안**: 단일 종목은 `/data/{ticker}?start_date=...&end_date=...` 도 동일하게 동작합니다."
-        "- Requires `ALPACA_API_KEY` / `ALPACA_SECRET_KEY`.\n\n"
-        "**⚠️ Alpaca 배치 제한**\n\n"
-        "Alpaca multi-bar 엔드포인트는 요청당 **~100개 심볼**이 실질적 상한입니다 "
-        "(공식 문서 미명시, 커뮤니티 보고 및 실제 운용 기준). "
-        "내부적으로 **100개 단위로 자동 분할**하여 요청하므로 클라이언트는 신경 쓸 필요 없음. "
-        "단, 배치 수가 늘어날수록 응답 시간이 선형적으로 증가함 (500종목 → Alpaca 5회 호출)."
     ),
-    tags=["price", "alpaca"],
+    tags=["price"],
 )
 async def get_multi_ticker_daily_bars(
-    tickers: str = Query(..., description="Comma-separated tickers, e.g. AAPL,MSFT,BF-B"),
+    tickers: Optional[str] = Query(None, description="Comma-separated tickers, e.g. AAPL,MSFT,QQQ"),
+    ticker: Optional[str] = Query(None, description="Alias for tickers (single ticker shorthand)"),
     start_date: date = Query(..., description="Start date (YYYY-MM-DD)"),
     end_date: date = Query(..., description="End date (YYYY-MM-DD)"),
-    interval: str = Query("1d", description="Bar interval: 1d, 1w, 1mo"),
+    interval: str = Query("1d", description="Bar interval: 1d, 1w, 1m"),
-    force_refresh: bool = Query(False, description="Re-fetch from Alpaca even if DB has data"),
+    force_refresh: bool = Query(False, description="Re-fetch from Yahoo Finance even if DB has data"),
 ):
-    """Multi-ticker daily bars via Alpaca with DB storage (ORB engine interface)."""
+    """Multi-ticker daily bars via yfinance with DB storage."""
-    symbols = [s.strip().upper() for s in tickers.split(",") if s.strip()]
+    raw = tickers or ticker
+    if not raw:
+        raise HTTPException(status_code=400, detail="No tickers provided. Use ?tickers=AAPL,MSFT or ?ticker=QQQ.")
+    symbols = [s.strip().upper() for s in raw.split(",") if s.strip()]
     if not symbols:
         raise HTTPException(status_code=400, detail="No tickers provided.")
     if len(symbols) > 1000:
         raise HTTPException(status_code=400, detail="Maximum 1000 tickers per request.")
 
-    svc = AlpacaPriceService()
-    if not svc.is_available():
-        raise HTTPException(status_code=503, detail="Alpaca API keys not configured.")
-
     start_dt = datetime.combine(start_date, datetime.min.time()).replace(tzinfo=timezone.utc)
-    end_dt = datetime.combine(end_date, datetime.min.time()).replace(tzinfo=timezone.utc)
+    end_dt = datetime.combine(end_date, datetime.max.time()).replace(tzinfo=timezone.utc)
 
+    price_service = PriceDataService()
     try:
-        data = await svc.get_or_fetch_multi_bars(
+        results, _, _ = await price_service.get_multiple_tickers_data_optimized(
-            symbols, start_dt, end_dt, interval, force_refresh
+            tickers=symbols,
+            start_date=start_dt,
+            end_date=end_dt,
+            interval=interval,
+            force_refresh=force_refresh,
         )
     except Exception as e:
-        err = str(e)
+        raise HTTPException(status_code=500, detail=f"yfinance error: {e}")
-        detail = f"Alpaca API error: {err}"
-        if "502" in err or "Bad Gateway" in err:
-            detail = (
-                f"Alpaca 502 Bad Gateway — 요청당 심볼 수 초과 가능성. "
-                f"내부 배치 크기: 100개/요청. 원인: {err}"
-            )
-        raise HTTPException(status_code=502, detail=detail)
-    finally:
-        await svc.client.close()
 
-    bars = {
+    bars = {}
-        ticker: [
+    for item in results:
+        if item.success and item.data and item.data.data:
+            bars[item.ticker] = [
                 {
-                "date": row.date.date().isoformat(),
+                    "date": point.date.isoformat(),
-                "open": row.open,
+                    "open": point.open,
-                "high": row.high,
+                    "high": point.high,
-                "low": row.low,
+                    "low": point.low,
-                "close": row.close,
+                    "close": point.close,
-                "volume": row.volume,
+                    "volume": point.volume,
                 }
-            for row in rows
+                for point in item.data.data
             ]
-        for ticker, rows in data.items()
-    }
 
     return AlpacaMultiBarsResponse(
+        source="YAHOO_FINANCE",
         interval=interval,
-        count=len(symbols),
+        count=len(bars),
         bars=bars,
     )
 

app/services/price_data_service.py

@@ -844,7 +844,8 @@ class PriceDataService:
         """
         results = []
         start_str = start_date.strftime('%Y-%m-%d')
-        end_str = end_date.strftime('%Y-%m-%d')
+        # yfinance end is exclusive — add +1 day to include end_date (same as _fetch_price_data)
+        end_str = (end_date + timedelta(days=1)).strftime('%Y-%m-%d')
 
         loop = asyncio.get_event_loop()