feat(chart): 10m 실시간 / 일·주·월 토글 / 오늘 마커 / 예측 거래일 선택

- backend/app/api/chart.py: interval=10m|1d|1w|1mo. 10m 은 ohlcv_1m 을
  time_bucket(10min) 으로 집계, stale(>10분) 이면 KIS 분봉 fetch 후 재조회.
  1w/1mo 는 ohlcv_daily 를 date_trunc 로 집계. today 필드 추가.
- backend/app/fetch/kis.py: fetch_minute_price() 추가 (tr_id FHKST03010200).
  KIS 응답 KST 시각을 tz-aware datetime 으로 변환, 오름차순 정렬.
- web/lib/api.ts: ChartInterval 타입, getChart(interval), predict(horizons[]).
- web/components/StockChart.tsx: 10m 이면 timeVisible. 일·주·월에서 오늘
  화살표 마커 표시. ISO datetime 도 파싱.
- web/components/PredictionPanel.tsx: 단기/중기/장기 프리셋 + 사용자 직접
  지정 (예: 1,2,3,7). API 에 horizons 배열 전달.
- web/app/[code]/page.tsx: interval 칩 (10분/일/주/월). 10m 일 때 60초마다
  폴링. interval 별 기본 lookback (10m=1, 1d=180, 1w=730, 1mo=1825).

backend/app/api/chart.py

@@ -1,14 +1,21 @@
 """차트 데이터 API: OHLCV + 보조 데이터 (감성, 거시).
 
-UI: /code 페이지 첫 로드 시 호출 → lightweight-charts 캔들 데이터로 사용.
+UI: /code 페이지가 호출 → lightweight-charts 캔들 데이터로 사용.
 
-첫 방문 시 ohlcv_daily 가 비어 있으면 (symbols 만 시드됨, daily_batch 아직 안 돔)
+interval 파라미터로 캔들 단위 선택:
-즉시 pykrx 로 자동 갱신 — 사용자 입장에선 한 번의 차트 요청으로 데이터까지 충전.
+  - "10m" : 당일 10분봉. ohlcv_1m 을 time_bucket 으로 10분 단위 집계.
+            stale (>10분) 이면 KIS inquire-time-itemchartprice 로 즉시 보충.
+  - "1d"  : 일봉. ohlcv_daily 직접 조회. 비어있으면 pykrx auto-refresh.
+  - "1w"  : 주봉. ohlcv_daily 를 date_trunc('week') 로 집계.
+  - "1mo" : 월봉. ohlcv_daily 를 date_trunc('month') 로 집계.
+
+10m 외에는 date 필드가 'YYYY-MM-DD' ISO date 문자열,
+10m 일 때는 'YYYY-MM-DDTHH:MM:SS' ISO datetime (KST) 으로 통일.
 """
 from __future__ import annotations
 
 import logging
-from datetime import date, timedelta
+from datetime import date, datetime, time as dtime, timedelta, timezone
 
 from fastapi import APIRouter, HTTPException, Query
 from sqlalchemy import text
@@ -19,8 +26,11 @@ logger = logging.getLogger(__name__)
 
 router = APIRouter(prefix="/api/chart", tags=["chart"])
 
+ALLOWED_INTERVALS = ("10m", "1d", "1w", "1mo")
+KST = timezone(timedelta(hours=9))
 
-def _query_ohlcv(conn, code: str, start: date, end: date):
+
+def _query_ohlcv_daily(conn, code: str, start: date, end: date):
     return conn.execute(
         text(
             """
@@ -34,13 +44,150 @@ def _query_ohlcv(conn, code: str, start: date, end: date):
     ).all()
 
 
+def _query_ohlcv_bucketed(conn, code: str, start: date, end: date, trunc: str):
+    """1d → 1w/1mo 집계. date_trunc 로 bucket 잡고, 첫/마지막/최고/최저/합 집계.
+
+    open=bucket 첫 거래일 시가, close=마지막 거래일 종가. PostgreSQL window 함수로 구한다.
+    """
+    return conn.execute(
+        text(
+            f"""
+            WITH base AS (
+              SELECT date_trunc(:trunc, date)::date AS bucket,
+                     date, open, high, low, close, volume
+                FROM ohlcv_daily
+               WHERE code = :c AND date BETWEEN :s AND :e
+            ),
+            ranked AS (
+              SELECT bucket, date, open, high, low, close, volume,
+                     ROW_NUMBER() OVER (PARTITION BY bucket ORDER BY date ASC)  AS rn_first,
+                     ROW_NUMBER() OVER (PARTITION BY bucket ORDER BY date DESC) AS rn_last
+                FROM base
+            )
+            SELECT bucket AS date,
+                   MAX(open) FILTER (WHERE rn_first = 1)  AS open,
+                   MAX(high)                              AS high,
+                   MIN(low)                               AS low,
+                   MAX(close) FILTER (WHERE rn_last = 1)  AS close,
+                   SUM(volume)                            AS volume
+              FROM ranked
+             GROUP BY bucket
+             ORDER BY bucket
+            """
+        ),
+        {"c": code, "s": start, "e": end, "trunc": trunc},
+    ).all()
+
+
+def _query_ohlcv_10m(conn, code: str, start_ts: datetime, end_ts: datetime):
+    """ohlcv_1m → 10분봉. TimescaleDB time_bucket 으로 10분 단위 집계.
+
+    first()/last() 는 TimescaleDB 의 집계함수.
+    """
+    return conn.execute(
+        text(
+            """
+            SELECT time_bucket(INTERVAL '10 minutes', ts) AS bucket,
+                   first(open,  ts) AS open,
+                   MAX(high)        AS high,
+                   MIN(low)         AS low,
+                   last(close, ts)  AS close,
+                   SUM(volume)      AS volume
+              FROM ohlcv_1m
+             WHERE code = :c AND ts >= :s AND ts < :e
+             GROUP BY bucket
+             ORDER BY bucket
+            """
+        ),
+        {"c": code, "s": start_ts, "e": end_ts},
+    ).all()
+
+
+def _upsert_ohlcv_1m(conn, code: str, rows: list[dict]) -> int:
+    """KIS 분봉 응답을 ohlcv_1m 에 UPSERT. 같은 (code, ts) 는 덮어쓰기 (장중 갱신용)."""
+    if not rows:
+        return 0
+    conn.execute(
+        text(
+            """
+            INSERT INTO ohlcv_1m (code, ts, open, high, low, close, volume)
+            VALUES (:code, :ts, :open, :high, :low, :close, :volume)
+            ON CONFLICT (code, ts) DO UPDATE SET
+              open   = EXCLUDED.open,
+              high   = EXCLUDED.high,
+              low    = EXCLUDED.low,
+              close  = EXCLUDED.close,
+              volume = EXCLUDED.volume
+            """
+        ),
+        [{"code": code, **r} for r in rows],
+    )
+    return len(rows)
+
+
+def _intraday_window_today() -> tuple[datetime, datetime]:
+    """오늘 KST 의 장 시간대 윈도우 (08:50 ~ 16:00). 토/일은 직전 영업일."""
+    now = datetime.now(KST)
+    d = now.date()
+    # 주말이면 직전 금요일로
+    while d.weekday() >= 5:
+        d -= timedelta(days=1)
+    start = datetime.combine(d, dtime(8, 50), tzinfo=KST)
+    end = datetime.combine(d, dtime(16, 0), tzinfo=KST)
+    return start, end
+
+
+def _ensure_intraday_fresh(conn, code: str) -> str:
+    """마지막 ohlcv_1m 데이터가 10분 이상 오래됐으면 KIS 에서 보충.
+
+    Returns: 'fresh' | 'refreshed' | 'skipped_missing_key' | 'failed' | 'no_data'
+    """
+    last_ts = conn.execute(
+        text("SELECT MAX(ts) FROM ohlcv_1m WHERE code = :c"),
+        {"c": code},
+    ).scalar()
+    now = datetime.now(KST)
+    # 평일 장중 (09:00~15:30) 이 아니면 데이터가 더 들어올 일이 없으니 마지막 캐시 그대로.
+    market_open = dtime(9, 0)
+    market_close = dtime(15, 35)
+    in_session = (
+        now.weekday() < 5
+        and market_open <= now.time() <= market_close
+    )
+    if last_ts is not None and (now - last_ts) < timedelta(minutes=10) and in_session:
+        return "fresh"
+
+    try:
+        from app.fetch.kis import SkippedMissingKey, fetch_minute_price
+    except Exception:  # noqa: BLE001
+        return "failed"
+
+    try:
+        rows = fetch_minute_price(code)
+    except SkippedMissingKey:
+        return "skipped_missing_key"
+    except Exception:  # noqa: BLE001
+        logger.exception("intraday refresh failed for %s", code)
+        return "failed"
+
+    if not rows:
+        return "no_data"
+    _upsert_ohlcv_1m(conn, code, rows)
+    conn.commit()
+    return "refreshed"
+
+
 @router.get("/{code}")
 def get_chart(
     code: str,
-    days: int = Query(default=180, ge=10, le=3650),
+    days: int = Query(default=180, ge=1, le=3650),
+    interval: str = Query(default="1d"),
     include_sentiment: bool = Query(default=True),
     include_trading_value: bool = Query(default=True),
 ) -> dict:
+    if interval not in ALLOWED_INTERVALS:
+        raise HTTPException(status_code=400, detail=f"interval must be one of {ALLOWED_INTERVALS}")
+
     eng = get_engine()
     end = date.today()
     start = end - timedelta(days=days)
@@ -52,19 +199,44 @@ def get_chart(
         if not symbol:
             raise HTTPException(status_code=404, detail=f"unknown code: {code}")
 
-        ohlcv_rows = _query_ohlcv(conn, code, start, end)
+        ohlcv: list[dict] = []
-        if not ohlcv_rows:
+        intraday_status: str | None = None
-            # 첫 방문 — ohlcv_daily 가 비어있다. pykrx 로 즉시 채우고 재조회.
+
-            # refresh_code 는 별도 트랜잭션으로 ohlcv/trading_value/news 모두 commit 하므로
+        if interval == "10m":
-            # 이 conn 에서 다시 SELECT 하면 새 행이 보인다. lookback 은 차트 요청 범위 +
+            intraday_status = _ensure_intraday_fresh(conn, code)
-            # 예측 모델 학습용 마진 (Chronos/LightGBM 이 충분한 과거 시계열을 요구) 으로 365 하한.
+            win_start, win_end = _intraday_window_today()
+            rows = _query_ohlcv_10m(conn, code, win_start, win_end)
+            ohlcv = [
+                {
+                    # KST aware datetime → ISO datetime. 프론트에서 Date 파싱.
+                    "date": (r[0].astimezone(KST) if r[0].tzinfo else r[0].replace(tzinfo=KST))
+                            .strftime("%Y-%m-%dT%H:%M:%S"),
+                    "open": float(r[1]) if r[1] is not None else None,
+                    "high": float(r[2]) if r[2] is not None else None,
+                    "low": float(r[3]) if r[3] is not None else None,
+                    "close": float(r[4]) if r[4] is not None else None,
+                    "volume": int(r[5]) if r[5] is not None else None,
+                }
+                for r in rows
+            ]
+        else:
+            if interval == "1d":
+                rows = _query_ohlcv_daily(conn, code, start, end)
+            elif interval == "1w":
+                rows = _query_ohlcv_bucketed(conn, code, start, end, "week")
+            else:  # "1mo"
+                rows = _query_ohlcv_bucketed(conn, code, start, end, "month")
+
+            if not rows and interval == "1d":
+                # 첫 방문 → pykrx auto-refresh.
                 try:
                     from app.pipelines.refresh_one import refresh_code
                     logger.info("chart: ohlcv_daily empty for %s — auto-refresh", code)
                     refresh_code(symbol[0], symbol[1], lookback_days=max(days, 365))
-                ohlcv_rows = _query_ohlcv(conn, code, start, end)
+                    rows = _query_ohlcv_daily(conn, code, start, end)
                 except Exception:  # noqa: BLE001
                     logger.exception("chart: auto-refresh failed for %s", code)
+
             ohlcv = [
                 {
                     "date": str(r[0]),
@@ -74,11 +246,11 @@ def get_chart(
                     "close": float(r[4]) if r[4] is not None else None,
                     "volume": int(r[5]) if r[5] is not None else None,
                 }
-            for r in ohlcv_rows
+                for r in rows
             ]
 
         sentiment: list[dict] = []
-        if include_sentiment:
+        if include_sentiment and interval != "10m":
             try:
                 s_rows = conn.execute(
                     text(
@@ -101,11 +273,10 @@ def get_chart(
                     for r in s_rows
                 ]
             except Exception:  # noqa: BLE001
-                # v_sentiment_daily 뷰 아직 없을 수 있음 (마이그레이션 미실행)
                 sentiment = []
 
         trading: list[dict] = []
-        if include_trading_value:
+        if include_trading_value and interval != "10m":
             tv_rows = conn.execute(
                 text(
                     """
@@ -131,7 +302,10 @@ def get_chart(
         "code": symbol[0],
         "name": symbol[1],
         "market": symbol[2],
+        "interval": interval,
+        "intraday_status": intraday_status,
         "range": {"from": str(start), "to": str(end)},
+        "today": date.today().isoformat(),
         "ohlcv": ohlcv,
         "sentiment": sentiment,
         "trading_value": trading,

backend/app/fetch/kis.py

@@ -233,6 +233,77 @@ def fetch_daily_price(
     return out
 
 
+@retry(
+    stop=stop_after_attempt(2),
+    wait=wait_exponential(multiplier=1, min=1, max=4),
+    retry=retry_if_exception_type((httpx.HTTPError, httpx.TimeoutException)),
+    reraise=True,
+)
+def fetch_minute_price(
+    code: str,
+    *,
+    end_hour: str | None = None,
+) -> list[dict[str, Any]]:
+    """당일 1분봉 시세 조회 (read-only). 최신 30개 캔들을 반환.
+
+    KIS 분봉 endpoint (`inquire-time-itemchartprice`) 는 base 시각 (FID_INPUT_HOUR_1) 부터
+    역순으로 최대 30개의 1분봉을 돌려준다. base 를 비우면 KIS 가 가장 최근 시각으로 해석.
+    즉 장중 호출 → 직전 30분 / 장 종료 후 호출 → 15:00~15:30 의 30분.
+
+    Returns: [{ts: datetime(KST aware), open, high, low, close, volume}, ...]
+            ts 오름차순 정렬.
+
+    Note: 이 endpoint 는 "당일" 분봉만 지원. 어제 이전 분봉은 별도 endpoint 가 필요한데,
+    이 사이트의 사용 패턴 (장중 라이브 차트) 에는 당일 데이터로 충분하다.
+    """
+    if not _has_keys():
+        raise SkippedMissingKey("kis app_key/secret missing")
+    url = f"{KIS_BASE}/uapi/domestic-stock/v1/quotations/inquire-time-itemchartprice"
+    params = {
+        "FID_ETC_CLS_CODE": "",
+        "FID_COND_MRKT_DIV_CODE": "J",
+        "FID_INPUT_ISCD": code,
+        # 비우면 KIS 가 "지금" 으로 해석. 장 마감 후엔 15:30:00 부근 데이터.
+        "FID_INPUT_HOUR_1": end_hour or "",
+        "FID_PW_DATA_INCU_YN": "Y",   # 과거 데이터 포함 (장 시작 직후 빈 데이터 방지)
+    }
+    with httpx.Client(timeout=15.0) as cli:
+        resp = cli.get(url, headers=_headers("FHKST03010200"), params=params)
+        resp.raise_for_status()
+        data = resp.json()
+    if data.get("rt_cd") != "0":
+        raise RuntimeError(f"kis error: {data.get('msg1')} (rt_cd={data.get('rt_cd')})")
+
+    # KIS 응답은 KST. tz-aware 로 변환해서 DB (TIMESTAMPTZ) 에 안전 적재.
+    from datetime import timedelta, timezone as _tz
+    KST = _tz(timedelta(hours=9))
+
+    out: list[dict[str, Any]] = []
+    for row in data.get("output2", []) or []:
+        raw_date = row.get("stck_bsop_date")
+        raw_hour = row.get("stck_cntg_hour")
+        if not raw_date or not raw_hour:
+            continue
+        try:
+            ts = datetime.strptime(raw_date + raw_hour.zfill(6), "%Y%m%d%H%M%S").replace(tzinfo=KST)
+        except ValueError:
+            continue
+        out.append(
+            {
+                "ts": ts,
+                "open": float(row.get("stck_oprc") or 0),
+                "high": float(row.get("stck_hgpr") or 0),
+                "low": float(row.get("stck_lwpr") or 0),
+                # 분봉에서는 종가가 stck_prpr (현재가) 로 옴
+                "close": float(row.get("stck_prpr") or row.get("stck_clpr") or 0),
+                "volume": int(row.get("cntg_vol") or 0),
+            }
+        )
+    # KIS 응답은 보통 최신→과거 역순. UI/DB 적재 편의를 위해 오름차순으로 뒤집는다.
+    out.sort(key=lambda r: r["ts"])
+    return out
+
+
 def ping() -> dict[str, Any]:
     """토큰 발급만 시도해서 키 유효성 확인."""
     if not _has_keys():

web/app/[code]/page.tsx

@@ -8,33 +8,63 @@ import { PredictionPanel } from "../../components/PredictionPanel";
 import { StockChart } from "../../components/StockChart";
 import {
   api,
+  type ChartInterval,
   type ChartPayload,
   type LatestPredictionResponse,
 } from "../../lib/api";
 
+const INTERVALS: { label: string; value: ChartInterval; defaultDays: number }[] = [
+  { label: "10분", value: "10m", defaultDays: 1 },
+  { label: "일", value: "1d", defaultDays: 180 },
+  { label: "주", value: "1w", defaultDays: 365 * 2 },
+  { label: "월", value: "1mo", defaultDays: 365 * 5 },
+];
+
 export default function CodePage({ params }: { params: { code: string } }) {
   const { code } = params;
   const [chart, setChart] = useState<ChartPayload | null>(null);
   const [prediction, setPrediction] = useState<LatestPredictionResponse | null>(null);
   const [err, setErr] = useState<string | null>(null);
+  const [interval, setIntervalKind] = useState<ChartInterval>("1d");
   const [days, setDays] = useState(180);
 
+  // interval 바꾸면 days 도 그 interval 에 맞는 기본값으로 (사용자가 명시적으로 다시 고를 수 있게).
+  function pickInterval(v: ChartInterval) {
+    const meta = INTERVALS.find((i) => i.value === v)!;
+    setIntervalKind(v);
+    setDays(meta.defaultDays);
+  }
+
+  // 초기/주기적 차트 로드. 10분봉이면 60초마다 폴링 — 백엔드가 캐시-then-fetch 로
+  // 10분 이내면 DB 만 읽고, 넘었으면 KIS 호출. 폴링 부담은 낮음.
   useEffect(() => {
     let alive = true;
     setErr(null);
     setChart(null);
+
+    const load = () => {
       api
-      .getChart(code, days)
+        .getChart(code, days, interval)
         .then((c) => {
           if (alive) setChart(c);
         })
         .catch((e) => {
           if (alive) setErr(e instanceof Error ? e.message : String(e));
         });
+    };
+    load();
+
+    if (interval === "10m") {
+      const h = window.setInterval(load, 60_000);
+      return () => {
+        alive = false;
+        window.clearInterval(h);
+      };
+    }
     return () => {
       alive = false;
     };
-  }, [code, days]);
+  }, [code, days, interval]);
 
   useEffect(() => {
     let alive = true;
@@ -57,6 +87,23 @@ export default function CodePage({ params }: { params: { code: string } }) {
         <Link href="/" className="text-xs text-zinc-500 hover:text-zinc-300">
           ← 검색으로
         </Link>
+        <div className="flex items-center gap-2">
+          <div className="flex overflow-hidden rounded-md border border-zinc-700 text-xs">
+            {INTERVALS.map((it) => (
+              <button
+                key={it.value}
+                onClick={() => pickInterval(it.value)}
+                className={
+                  interval === it.value
+                    ? "bg-emerald-700 px-3 py-1 text-white"
+                    : "bg-zinc-900 px-3 py-1 text-zinc-300 hover:bg-zinc-800"
+                }
+              >
+                {it.label}
+              </button>
+            ))}
+          </div>
+          {interval !== "10m" && (
             <select
               value={days}
               onChange={(e) => setDays(Number(e.target.value))}
@@ -65,18 +112,30 @@ export default function CodePage({ params }: { params: { code: string } }) {
               <option value={60}>최근 3개월</option>
               <option value={180}>최근 6개월</option>
               <option value={365}>최근 1년</option>
-          <option value={1095}>최근 3년</option>
+              <option value={365 * 2}>최근 2년</option>
+              <option value={365 * 5}>최근 5년</option>
+              <option value={365 * 10}>최근 10년</option>
             </select>
+          )}
+        </div>
       </div>
 
       {chart && (
-        <div className="mb-4">
+        <div className="mb-4 flex items-baseline justify-between">
           <h1 className="text-2xl font-semibold text-zinc-100">
             {chart.name}{" "}
             <span className="text-sm font-normal text-zinc-500">
               {chart.code} · {chart.market}
             </span>
           </h1>
+          {interval === "10m" && (
+            <div className="text-xs text-zinc-500">
+              실시간 10분봉 · 60초마다 갱신
+              {chart.intraday_status && (
+                <span className="ml-2 text-zinc-600">[{chart.intraday_status}]</span>
+              )}
+            </div>
+          )}
         </div>
       )}
 

web/components/PredictionPanel.tsx

@@ -42,16 +42,37 @@ function normalizeFromPredictResponse(
   };
 }
 
+const HORIZON_PRESETS: { label: string; value: number[] }[] = [
+  { label: "단기 (1·3·5)", value: [1, 3, 5] },
+  { label: "중기 (1·5·10)", value: [1, 5, 10] },
+  { label: "장기 (5·10·20)", value: [5, 10, 20] },
+];
+
 export function PredictionPanel({ code, initial, onResult }: Props) {
   const [pred, setPred] = useState<LatestPredictionResponse | null>(initial ?? null);
   const [loading, setLoading] = useState(false);
   const [err, setErr] = useState<string | null>(null);
+  const [presetIdx, setPresetIdx] = useState(0);
+  const [customRaw, setCustomRaw] = useState("");
+  const [useCustom, setUseCustom] = useState(false);
+
+  function effectiveHorizons(): number[] {
+    if (useCustom) {
+      const parsed = customRaw
+        .split(",")
+        .map((s) => Number(s.trim()))
+        .filter((n) => Number.isFinite(n) && n >= 1 && n <= 60);
+      if (parsed.length > 0) return Array.from(new Set(parsed)).sort((a, b) => a - b);
+    }
+    return HORIZON_PRESETS[presetIdx].value;
+  }
 
   async function runPredict() {
     setLoading(true);
     setErr(null);
     try {
-      const r = await api.predict(code);
+      const horizons = effectiveHorizons();
+      const r = await api.predict(code, horizons);
       const normalized = normalizeFromPredictResponse(code, r);
       setPred(normalized);
       onResult(normalized);
@@ -82,6 +103,49 @@ export function PredictionPanel({ code, initial, onResult }: Props) {
         </button>
       </div>
 
+      <div className="mb-3 flex flex-wrap items-center gap-2 text-xs">
+        <span className="text-zinc-500">예측 거래일:</span>
+        {HORIZON_PRESETS.map((p, i) => (
+          <button
+            key={p.label}
+            onClick={() => {
+              setUseCustom(false);
+              setPresetIdx(i);
+            }}
+            className={
+              !useCustom && presetIdx === i
+                ? "rounded-full bg-emerald-700 px-3 py-1 text-white"
+                : "rounded-full border border-zinc-700 px-3 py-1 text-zinc-300 hover:border-zinc-500"
+            }
+          >
+            {p.label}
+          </button>
+        ))}
+        <label
+          className={
+            useCustom
+              ? "flex items-center gap-1 rounded-full bg-emerald-700 px-3 py-1 text-white"
+              : "flex items-center gap-1 rounded-full border border-zinc-700 px-3 py-1 text-zinc-300 hover:border-zinc-500"
+          }
+        >
+          <input
+            type="checkbox"
+            checked={useCustom}
+            onChange={(e) => setUseCustom(e.target.checked)}
+            className="h-3 w-3"
+          />
+          직접
+          <input
+            type="text"
+            placeholder="예: 1,2,3,7"
+            value={customRaw}
+            onChange={(e) => setCustomRaw(e.target.value)}
+            onFocus={() => setUseCustom(true)}
+            className="ml-1 w-24 rounded border border-zinc-700 bg-zinc-900 px-1 py-0.5 text-xs text-zinc-100"
+          />
+        </label>
+      </div>
+
       {err && <div className="mb-3 text-xs text-red-400">에러: {err}</div>}
 
       {pred?.found ? (

web/components/StockChart.tsx

@@ -7,6 +7,8 @@ import {
   type IChartApi,
   type ISeriesApi,
   type LineData,
+  type SeriesMarker,
+  type Time,
   type UTCTimestamp,
 } from "lightweight-charts";
 import type { ChartPayload, LatestPredictionResponse } from "../lib/api";
@@ -16,12 +18,26 @@ type Props = {
   prediction?: LatestPredictionResponse | null;
 };
 
-function dateToUtcTs(d: string): UTCTimestamp {
+// 'YYYY-MM-DD' 또는 'YYYY-MM-DDTHH:MM:SS' (KST naive, 백엔드가 +09:00 시각의 wall-clock 을
-  // 'YYYY-MM-DD' → UTC midnight epoch seconds
+// 그대로 ISO 로 직렬화) 를 UTCTimestamp 로. lightweight-charts 는 timestamp 가 UTC 라고
+// 가정하지만, 우리는 KST wall-clock 을 UTC 인 척 넣는다 — timeScale 의 표시도 KST 그대로
+// 나와서 한국 사용자에겐 가장 직관적.
+function isoToUtcTs(s: string): UTCTimestamp {
+  if (s.length <= 10) {
     return (Date.UTC(
-    Number(d.slice(0, 4)),
+      Number(s.slice(0, 4)),
-    Number(d.slice(5, 7)) - 1,
+      Number(s.slice(5, 7)) - 1,
-    Number(d.slice(8, 10)),
+      Number(s.slice(8, 10)),
+    ) / 1000) as UTCTimestamp;
+  }
+  // datetime: YYYY-MM-DDTHH:MM:SS
+  return (Date.UTC(
+    Number(s.slice(0, 4)),
+    Number(s.slice(5, 7)) - 1,
+    Number(s.slice(8, 10)),
+    Number(s.slice(11, 13)),
+    Number(s.slice(14, 16)),
+    Number(s.slice(17, 19) || "0"),
   ) / 1000) as UTCTimestamp;
 }
 
@@ -33,7 +49,9 @@ export function StockChart({ chart, prediction }: Props) {
   const predLowRef = useRef<ISeriesApi<"Line"> | null>(null);
   const predHighRef = useRef<ISeriesApi<"Line"> | null>(null);
 
-  // create chart once
+  const isIntraday = chart.interval === "10m";
+
+  // create chart once (interval 바뀌면 timeVisible 토글 위해 의존성에 isIntraday 포함 — 재생성)
   useEffect(() => {
     if (!containerRef.current) return;
     const c = createChart(containerRef.current, {
@@ -46,7 +64,11 @@ export function StockChart({ chart, prediction }: Props) {
         horzLines: { color: "#1f2937" },
       },
       rightPriceScale: { borderColor: "#374151" },
-      timeScale: { borderColor: "#374151", timeVisible: false },
+      timeScale: {
+        borderColor: "#374151",
+        timeVisible: isIntraday,
+        secondsVisible: false,
+      },
       autoSize: true,
     });
     const candle = c.addCandlestickSeries({
@@ -67,28 +89,49 @@ export function StockChart({ chart, prediction }: Props) {
       predLowRef.current = null;
       predHighRef.current = null;
     };
-  }, []);
+  }, [isIntraday]);
 
-  // push candle data
+  // push candle data + today marker
   useEffect(() => {
     if (!candleRef.current) return;
     const data: CandlestickData[] = chart.ohlcv
       .filter((p) => p.open !== null && p.high !== null && p.low !== null && p.close !== null)
       .map((p) => ({
-        time: dateToUtcTs(p.date),
+        time: isoToUtcTs(p.date),
         open: p.open as number,
         high: p.high as number,
         low: p.low as number,
         close: p.close as number,
       }));
     candleRef.current.setData(data);
-    chartRef.current?.timeScale().fitContent();
-  }, [chart]);
 
-  // push prediction overlay
+    // 오늘 날짜 마커: 일/주/월봉에서만 표시 (10분봉은 데이터 자체가 오늘 하루라 무의미).
+    // markers 는 데이터 포인트의 time 과 일치해야 표시되므로, 오늘 또는 가장 가까운 과거
+    // 거래일을 찾는다.
+    if (!isIntraday && chart.today) {
+      const todayTs = isoToUtcTs(chart.today);
+      // 차트의 마지막 데이터가 오늘이면 그 위에, 아니면 마지막 데이터 위에 "오늘" 표시.
+      const lastTs = data.length > 0 ? (data[data.length - 1].time as UTCTimestamp) : null;
+      const markerTime = (lastTs && lastTs <= todayTs ? lastTs : todayTs) as UTCTimestamp;
+      const markers: SeriesMarker<Time>[] = [
+        {
+          time: markerTime,
+          position: "aboveBar",
+          color: "#fbbf24",
+          shape: "arrowDown",
+          text: "오늘",
+        },
+      ];
+      candleRef.current.setMarkers(markers);
+    } else {
+      candleRef.current.setMarkers([]);
+    }
+    chartRef.current?.timeScale().fitContent();
+  }, [chart, isIntraday]);
+
+  // push prediction overlay (10분봉에서는 표시 안 함 — 예측은 일봉 기준)
   useEffect(() => {
     if (!chartRef.current) return;
-    // remove previous overlay
     if (predRef.current) {
       chartRef.current.removeSeries(predRef.current);
       predRef.current = null;
@@ -101,6 +144,7 @@ export function StockChart({ chart, prediction }: Props) {
       chartRef.current.removeSeries(predHighRef.current);
       predHighRef.current = null;
     }
+    if (isIntraday) return;
     if (!prediction || !prediction.found || !prediction.steps?.length) return;
     const baseDate = prediction.base_date!;
     const baseClose = prediction.base_close;
@@ -108,22 +152,22 @@ export function StockChart({ chart, prediction }: Props) {
     const sorted = [...prediction.steps].sort((a, b) => a.horizon - b.horizon);
 
     const med: LineData[] = [
-      { time: dateToUtcTs(baseDate), value: baseClose },
+      { time: isoToUtcTs(baseDate), value: baseClose },
       ...sorted
         .filter((s) => s.point_close !== null)
-        .map((s) => ({ time: dateToUtcTs(s.target_date), value: s.point_close as number })),
+        .map((s) => ({ time: isoToUtcTs(s.target_date), value: s.point_close as number })),
     ];
     const lo: LineData[] = [
-      { time: dateToUtcTs(baseDate), value: baseClose },
+      { time: isoToUtcTs(baseDate), value: baseClose },
       ...sorted
         .filter((s) => s.ci_low !== null)
-        .map((s) => ({ time: dateToUtcTs(s.target_date), value: s.ci_low as number })),
+        .map((s) => ({ time: isoToUtcTs(s.target_date), value: s.ci_low as number })),
     ];
     const hi: LineData[] = [
-      { time: dateToUtcTs(baseDate), value: baseClose },
+      { time: isoToUtcTs(baseDate), value: baseClose },
       ...sorted
         .filter((s) => s.ci_high !== null)
-        .map((s) => ({ time: dateToUtcTs(s.target_date), value: s.ci_high as number })),
+        .map((s) => ({ time: isoToUtcTs(s.target_date), value: s.ci_high as number })),
     ];
 
     const medLine = chartRef.current.addLineSeries({
@@ -157,7 +201,7 @@ export function StockChart({ chart, prediction }: Props) {
     predLowRef.current = loLine;
     predHighRef.current = hiLine;
     chartRef.current.timeScale().fitContent();
-  }, [prediction]);
+  }, [prediction, isIntraday]);
 
   return (
     <div className="h-[460px] w-full rounded-md border border-zinc-800 bg-zinc-900/30 p-2">

web/lib/api.ts

@@ -42,6 +42,7 @@ export type SymbolSearch = {
 };
 
 export type OhlcvPoint = {
+  // 1d/1w/1mo: 'YYYY-MM-DD'  /  10m: 'YYYY-MM-DDTHH:MM:SS' (KST naive ISO)
   date: string;
   open: number | null;
   high: number | null;
@@ -50,6 +51,8 @@ export type OhlcvPoint = {
   volume: number | null;
 };
 
+export type ChartInterval = "10m" | "1d" | "1w" | "1mo";
+
 export type SentimentPoint = {
   date: string;
   n_articles: number;
@@ -68,7 +71,10 @@ export type ChartPayload = {
   code: string;
   name: string;
   market: string;
+  interval: ChartInterval;
+  intraday_status: string | null;
   range: { from: string; to: string };
+  today: string;
   ohlcv: OhlcvPoint[];
   sentiment: SentimentPoint[];
   trading_value: TradingValuePoint[];
@@ -178,13 +184,17 @@ export const api = {
       `/api/symbols/search?q=${encodeURIComponent(q)}&limit=${limit}&seed_only=${seedOnly}`,
     ),
   getSymbol: (code: string) => getJson<Symbol>(`/api/symbols/${encodeURIComponent(code)}`),
-  getChart: (code: string, days = 180) =>
+  getChart: (code: string, days = 180, interval: ChartInterval = "1d") =>
-    getJson<ChartPayload>(`/api/chart/${encodeURIComponent(code)}?days=${days}`),
+    getJson<ChartPayload>(
-  predict: (code: string, horizons = "1,3,5") =>
+      `/api/chart/${encodeURIComponent(code)}?days=${days}&interval=${encodeURIComponent(interval)}`,
-    getJson<PredictResponse>(
-      `/api/predict/${encodeURIComponent(code)}?horizons=${encodeURIComponent(horizons)}`,
-      { method: "POST" },
     ),
+  predict: (code: string, horizons: string | number[] = "1,3,5") => {
+    const h = Array.isArray(horizons) ? horizons.join(",") : horizons;
+    return getJson<PredictResponse>(
+      `/api/predict/${encodeURIComponent(code)}?horizons=${encodeURIComponent(h)}`,
+      { method: "POST" },
+    );
+  },
   latestPrediction: (code: string) =>
     getJson<LatestPredictionResponse>(`/api/predict/${encodeURIComponent(code)}/latest`),
   metrics: (code: string, windowDays = 30) =>