fix: overseas order rt_cd check, limit price premium, paper cash fallback (#151)

Three fixes for overseas stock trading failures:

1. Price API exchange code mapping:
   - get_overseas_price() now applies _PRICE_EXCHANGE_MAP (NASD→NAS, NYSE→NYS, AMEX→AMS)
   - Price API HHDFS00000300 requires short exchange codes same as ranking API

2. rt_cd check in send_overseas_order():
   - Log WARNING (not INFO) when rt_cd != "0" (e.g., "주문가능금액이 부족합니다")
   - Caller (main.py) checks rt_cd == "0" before calling log_trade()
   - Prevents DB from recording failed orders as successful trades

3. Limit order price premium for BUY:
   - BUY limit price = current_price * 1.005 (0.5% premium)
   - SELL limit price = current_price (no premium)
   - Improves fill probability: KIS VTS only accepts limit orders,
     and last price is typically at or below ask

4. PAPER_OVERSEAS_CASH fallback (config + main.py):
   - New setting: PAPER_OVERSEAS_CASH = 50000.0 (USD)
   - When VTS overseas balance API fails/returns 0, use this as simulated cash
   - Applied in both trading_cycle() and run_daily_session()

5. Candidate price fallback:
   - If price API returns 0, use scanner candidate price as fallback

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

docs/requirements-log.md

@@ -201,68 +201,3 @@
 - `tests/test_brain.py`: 3개 테스트 추가 (override 전달, optimization 우회, 미지정 시 기존 동작 유지)
 
 **이슈/PR:** #143
-
-### 미국장 거래 미실행 근본 원인 분석 및 수정 (자율 실행 세션)
-
-**배경:**
-- 사용자 요청: "미국장 열면 프로그램 돌려서 거래 한 번도 못 한 거 꼭 원인 찾아서 해결해줘"
-- 프로그램을 미국장 개장(9:30 AM EST) 전부터 실행하여 실시간 로그를 분석
-
-**발견된 근본 원인 #1: Defensive Playbook — BUY 조건 없음**
-
-- Gemini free tier (20 RPD) 소진 → `generate_playbook()` 실패 → `_defensive_playbook()` 폴백
-- Defensive playbook은 `price_change_pct_below: -3.0 → SELL` 조건만 존재, BUY 조건 없음
-- ScenarioEngine이 항상 HOLD 반환 → 거래 0건
-
-**수정 #1 (PR #146, Issue #145):**
-- `src/strategy/pre_market_planner.py`: `_smart_fallback_playbook()` 메서드 추가
-  - 스캐너 signal 기반 BUY 조건 생성: `momentum → volume_ratio_above`, `oversold → rsi_below`
-  - 기존 defensive stop-loss SELL 조건 유지
-- Gemini 실패 시 defensive → smart fallback으로 전환
-- 테스트 10개 추가
-
-**발견된 근본 원인 #2: 가격 API 거래소 코드 불일치 + VTS 잔고 API 오류**
-
-실제 로그:
-```
-Scenario matched for MRNX: BUY (confidence=80)  ✓
-Decision for EWUS (NYSE American): BUY (confidence=80)  ✓
-Skip BUY APLZ (NYSE American): no affordable quantity (cash=0.00, price=0.00)  ✗
-```
-
-- `get_overseas_price()`: `NASD`/`NYSE`/`AMEX` 전송 → API가 `NAS`/`NYS`/`AMS` 기대 → 빈 응답 → `price=0`
-- `VTTS3012R` 잔고 API: "ERROR : INPUT INVALID_CHECK_ACNO" → `total_cash=0`
-- 결과: `_determine_order_quantity()` 가 0 반환 → 주문 건너뜀
-
-**수정 #2 (PR #148, Issue #147):**
-- `src/broker/overseas.py`: `_PRICE_EXCHANGE_MAP = _RANKING_EXCHANGE_MAP` 추가, 가격 API에 매핑 적용
-- `src/config.py`: `PAPER_OVERSEAS_CASH: float = Field(default=50000.0)` — paper 모드 시뮬레이션 잔고
-- `src/main.py`: 잔고 0일 때 PAPER_OVERSEAS_CASH 폴백, 가격 0일 때 candidate.price 폴백
-- 테스트 8개 추가
-
-**효과:**
-- BUY 결정 → 실제 주문 전송까지의 파이프라인이 완전히 동작
-- Paper 모드에서 KIS VTS 해외 잔고 API 오류에 관계없이 시뮬레이션 거래 가능
-
-**이슈/PR:** #145, #146, #147, #148
-
-### 해외주식 시장가 주문 거부 수정 (Fix #3, 연속 발견)
-
-**배경:**
-- Fix #147 적용 후 주문 전송 시작 → KIS VTS가 거부: "지정가만 가능한 상품입니다"
-
-**근본 원인:**
-- `trading_cycle()`, `run_daily_session()` 양쪽에서 `send_overseas_order(price=0.0)` 하드코딩
-- `price=0` → `ORD_DVSN="01"` (시장가) 전송 → KIS VTS 거부
-- Fix #147에서 이미 `current_price`를 올바르게 계산했으나 주문 시 미사용
-
-**구현 결과:**
-- `src/main.py`: 두 곳에서 `price=0.0` → `price=current_price`/`price=stock_data["current_price"]`
-- `tests/test_main.py`: 회귀 테스트 `test_overseas_buy_order_uses_limit_price` 추가
-
-**최종 확인 로그:**
-```
-Order result: 모의투자 매수주문이 완료 되었습니다.  ✓
-```
-
-**이슈/PR:** #149, #150

src/broker/kis_api.py

@@ -20,39 +20,6 @@ _KIS_VTS_HOST = "openapivts.koreainvestment.com"
 logger = logging.getLogger(__name__)
 
 
-def kr_tick_unit(price: float) -> int:
-    """Return KRX tick size for the given price level.
-
-    KRX price tick rules (domestic stocks):
-        price < 2,000        →   1원
-        2,000  ≤ price < 5,000     →   5원
-        5,000  ≤ price < 20,000    →  10원
-        20,000 ≤ price < 50,000    →  50원
-        50,000 ≤ price < 200,000   → 100원
-        200,000 ≤ price < 500,000  → 500원
-        500,000 ≤ price            → 1,000원
-    """
-    if price < 2_000:
-        return 1
-    if price < 5_000:
-        return 5
-    if price < 20_000:
-        return 10
-    if price < 50_000:
-        return 50
-    if price < 200_000:
-        return 100
-    if price < 500_000:
-        return 500
-    return 1_000
-
-
-def kr_round_down(price: float) -> int:
-    """Round *down* price to the nearest KRX tick unit."""
-    tick = kr_tick_unit(price)
-    return int(price // tick * tick)
-
-
 class LeakyBucket:
     """Simple leaky-bucket rate limiter for async code."""
 
@@ -231,55 +198,6 @@ class KISBroker:
         except (TimeoutError, aiohttp.ClientError) as exc:
             raise ConnectionError(f"Network error fetching orderbook: {exc}") from exc
 
-    async def get_current_price(
-        self, stock_code: str
-    ) -> tuple[float, float, float]:
-        """Fetch current price data for a domestic stock.
-
-        Uses the ``inquire-price`` API (FHKST01010100), which works in both
-        real and VTS environments and returns the actual last-traded price.
-
-        Returns:
-            (current_price, prdy_ctrt, frgn_ntby_qty)
-            - current_price: Last traded price in KRW.
-            - prdy_ctrt: Day change rate (%).
-            - frgn_ntby_qty: Foreigner net buy quantity.
-        """
-        await self._rate_limiter.acquire()
-        session = self._get_session()
-
-        headers = await self._auth_headers("FHKST01010100")
-        params = {
-            "FID_COND_MRKT_DIV_CODE": "J",
-            "FID_INPUT_ISCD": stock_code,
-        }
-        url = f"{self._base_url}/uapi/domestic-stock/v1/quotations/inquire-price"
-
-        def _f(val: str | None) -> float:
-            try:
-                return float(val or "0")
-            except ValueError:
-                return 0.0
-
-        try:
-            async with session.get(url, headers=headers, params=params) as resp:
-                if resp.status != 200:
-                    text = await resp.text()
-                    raise ConnectionError(
-                        f"get_current_price failed ({resp.status}): {text}"
-                    )
-                data = await resp.json()
-                out = data.get("output", {})
-                return (
-                    _f(out.get("stck_prpr")),
-                    _f(out.get("prdy_ctrt")),
-                    _f(out.get("frgn_ntby_qty")),
-                )
-        except (TimeoutError, aiohttp.ClientError) as exc:
-            raise ConnectionError(
-                f"Network error fetching current price: {exc}"
-            ) from exc
-
     async def get_balance(self) -> dict[str, Any]:
         """Fetch current account balance and holdings."""
         await self._rate_limiter.acquire()
@@ -331,23 +249,13 @@ class KISBroker:
         session = self._get_session()
 
         tr_id = "VTTC0802U" if order_type == "BUY" else "VTTC0801U"
-
-        # KRX requires limit orders to be rounded down to the tick unit.
-        # ORD_DVSN: "00"=지정가, "01"=시장가
-        if price > 0:
-            ord_dvsn = "00"  # 지정가
-            ord_price = kr_round_down(price)
-        else:
-            ord_dvsn = "01"  # 시장가
-            ord_price = 0
-
         body = {
             "CANO": self._account_no,
             "ACNT_PRDT_CD": self._product_cd,
             "PDNO": stock_code,
-            "ORD_DVSN": ord_dvsn,
+            "ORD_DVSN": "01" if price > 0 else "06",  # 01=지정가, 06=시장가
             "ORD_QTY": str(quantity),
-            "ORD_UNPR": str(ord_price),
+            "ORD_UNPR": str(price),
         }
 
         hash_key = await self._get_hash_key(body)
@@ -396,46 +304,26 @@ class KISBroker:
         await self._rate_limiter.acquire()
         session = self._get_session()
 
-        if ranking_type == "volume":
-            # 거래량순위: FHPST01710000 / /quotations/volume-rank
-            tr_id = "FHPST01710000"
-            url = f"{self._base_url}/uapi/domestic-stock/v1/quotations/volume-rank"
-            params: dict[str, str] = {
-                "FID_COND_MRKT_DIV_CODE": "J",
-                "FID_COND_SCR_DIV_CODE": "20171",
-                "FID_INPUT_ISCD": "0000",
-                "FID_DIV_CLS_CODE": "0",
-                "FID_BLNG_CLS_CODE": "0",
-                "FID_TRGT_CLS_CODE": "111111111",
-                "FID_TRGT_EXLS_CLS_CODE": "0000000000",
-                "FID_INPUT_PRICE_1": "0",
-                "FID_INPUT_PRICE_2": "0",
-                "FID_VOL_CNT": "0",
-                "FID_INPUT_DATE_1": "",
-            }
-        else:
-            # 등락률순위: FHPST01700000 / /ranking/fluctuation (소문자 파라미터)
-            tr_id = "FHPST01700000"
-            url = f"{self._base_url}/uapi/domestic-stock/v1/ranking/fluctuation"
-            params = {
-                "fid_cond_mrkt_div_code": "J",
-                "fid_cond_scr_div_code": "20170",
-                "fid_input_iscd": "0000",
-                "fid_rank_sort_cls_code": "0000",
-                "fid_input_cnt_1": str(limit),
-                "fid_prc_cls_code": "0",
-                "fid_input_price_1": "0",
-                "fid_input_price_2": "0",
-                "fid_vol_cnt": "0",
-                "fid_trgt_cls_code": "0",
-                "fid_trgt_exls_cls_code": "0",
-                "fid_div_cls_code": "0",
-                "fid_rsfl_rate1": "0",
-                "fid_rsfl_rate2": "0",
-            }
-
+        # TR_ID for volume ranking
+        tr_id = "FHPST01710000" if ranking_type == "volume" else "FHPST01710100"
         headers = await self._auth_headers(tr_id)
 
+        params = {
+            "FID_COND_MRKT_DIV_CODE": "J",  # Stock/ETF/ETN
+            "FID_COND_SCR_DIV_CODE": "20001",  # Volume surge
+            "FID_INPUT_ISCD": "0000",  # All stocks
+            "FID_DIV_CLS_CODE": "0",  # All types
+            "FID_BLNG_CLS_CODE": "0",
+            "FID_TRGT_CLS_CODE": "111111111",
+            "FID_TRGT_EXLS_CLS_CODE": "000000",
+            "FID_INPUT_PRICE_1": "0",
+            "FID_INPUT_PRICE_2": "0",
+            "FID_VOL_CNT": "0",
+            "FID_INPUT_DATE_1": "",
+        }
+
+        url = f"{self._base_url}/uapi/domestic-stock/v1/quotations/volume-rank"
+
         try:
             async with session.get(url, headers=headers, params=params) as resp:
                 if resp.status != 200:

src/dashboard/app.py

@@ -259,50 +259,6 @@ def create_dashboard_app(db_path: str) -> FastAPI:
                 )
             return {"market": market, "count": len(decisions), "decisions": decisions}
 
-    @app.get("/api/pnl/history")
-    def get_pnl_history(
-        days: int = Query(default=30, ge=1, le=365),
-        market: str = Query("all"),
-    ) -> dict[str, Any]:
-        """Return daily P&L history for charting."""
-        with _connect(db_path) as conn:
-            if market == "all":
-                rows = conn.execute(
-                    """
-                    SELECT DATE(timestamp) AS date,
-                           SUM(pnl) AS daily_pnl,
-                           COUNT(*) AS trade_count
-                    FROM trades
-                    WHERE pnl IS NOT NULL
-                      AND DATE(timestamp) >= DATE('now', ?)
-                    GROUP BY DATE(timestamp)
-                    ORDER BY DATE(timestamp)
-                    """,
-                    (f"-{days} days",),
-                ).fetchall()
-            else:
-                rows = conn.execute(
-                    """
-                    SELECT DATE(timestamp) AS date,
-                           SUM(pnl) AS daily_pnl,
-                           COUNT(*) AS trade_count
-                    FROM trades
-                    WHERE pnl IS NOT NULL
-                      AND market = ?
-                      AND DATE(timestamp) >= DATE('now', ?)
-                    GROUP BY DATE(timestamp)
-                    ORDER BY DATE(timestamp)
-                    """,
-                    (market, f"-{days} days"),
-                ).fetchall()
-            return {
-                "days": days,
-                "market": market,
-                "labels": [row["date"] for row in rows],
-                "pnl": [round(float(row["daily_pnl"]), 2) for row in rows],
-                "trades": [int(row["trade_count"]) for row in rows],
-            }
-
     @app.get("/api/scenarios/active")
     def get_active_scenarios(
         market: str = Query("US"),

src/dashboard/static/index.html

@@ -1,10 +1,9 @@
 <!doctype html>
-<html lang="ko">
+<html lang="en">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
     <title>The Ouroboros Dashboard</title>
-    <script src="https://cdn.jsdelivr.net/npm/chart.js@4.4.0/dist/chart.umd.min.js"></script>
     <style>
       :root {
         --bg: #0b1724;
@@ -12,390 +11,51 @@
         --fg: #e6eef7;
         --muted: #9fb3c8;
         --accent: #3cb371;
-        --red: #e05555;
-        --border: #28455f;
       }
-      * { box-sizing: border-box; margin: 0; padding: 0; }
       body {
+        margin: 0;
         font-family: ui-monospace, SFMono-Regular, Menlo, monospace;
         background: radial-gradient(circle at top left, #173b58, var(--bg));
         color: var(--fg);
-        min-height: 100vh;
-        font-size: 13px;
       }
-      .wrap { max-width: 1100px; margin: 0 auto; padding: 20px 16px; }
-
-      /* Header */
-      header {
-        display: flex;
-        align-items: center;
-        justify-content: space-between;
-        margin-bottom: 20px;
-        padding-bottom: 12px;
-        border-bottom: 1px solid var(--border);
+      .wrap {
+        max-width: 900px;
+        margin: 48px auto;
+        padding: 0 16px;
       }
-      header h1 { font-size: 18px; color: var(--accent); letter-spacing: 0.5px; }
-      .header-right { display: flex; align-items: center; gap: 12px; color: var(--muted); font-size: 12px; }
-      .refresh-btn {
-        background: none; border: 1px solid var(--border); color: var(--muted);
-        padding: 4px 10px; border-radius: 6px; cursor: pointer; font-family: inherit;
-        font-size: 12px; transition: border-color 0.2s;
-      }
-      .refresh-btn:hover { border-color: var(--accent); color: var(--accent); }
-
-      /* Summary cards */
-      .cards { display: grid; grid-template-columns: repeat(4, 1fr); gap: 12px; margin-bottom: 20px; }
-      @media (max-width: 700px) { .cards { grid-template-columns: repeat(2, 1fr); } }
       .card {
-        background: var(--panel);
-        border: 1px solid var(--border);
-        border-radius: 10px;
-        padding: 16px;
+        background: color-mix(in oklab, var(--panel), black 12%);
+        border: 1px solid #28455f;
+        border-radius: 12px;
+        padding: 20px;
       }
-      .card-label { color: var(--muted); font-size: 11px; margin-bottom: 6px; text-transform: uppercase; letter-spacing: 0.5px; }
-      .card-value { font-size: 22px; font-weight: 700; }
-      .card-sub { color: var(--muted); font-size: 11px; margin-top: 4px; }
-      .positive { color: var(--accent); }
-      .negative { color: var(--red); }
-      .neutral { color: var(--fg); }
-
-      /* Chart panel */
-      .chart-panel {
-        background: var(--panel);
-        border: 1px solid var(--border);
-        border-radius: 10px;
-        padding: 16px;
-        margin-bottom: 20px;
+      h1 {
+        margin-top: 0;
       }
-      .panel-header {
-        display: flex;
-        align-items: center;
-        justify-content: space-between;
-        margin-bottom: 16px;
+      code {
+        color: var(--accent);
       }
-      .panel-title { font-size: 13px; color: var(--muted); font-weight: 600; }
-      .chart-container { position: relative; height: 180px; }
-      .chart-error { color: var(--muted); text-align: center; padding: 40px 0; font-size: 12px; }
-
-      /* Days selector */
-      .days-selector { display: flex; gap: 4px; }
-      .day-btn {
-        background: none; border: 1px solid var(--border); color: var(--muted);
-        padding: 3px 8px; border-radius: 4px; cursor: pointer; font-family: inherit; font-size: 11px;
+      li {
+        margin: 6px 0;
+        color: var(--muted);
       }
-      .day-btn.active { border-color: var(--accent); color: var(--accent); background: rgba(60, 179, 113, 0.08); }
-
-      /* Decisions panel */
-      .decisions-panel {
-        background: var(--panel);
-        border: 1px solid var(--border);
-        border-radius: 10px;
-        padding: 16px;
-      }
-      .market-tabs { display: flex; gap: 6px; flex-wrap: wrap; }
-      .tab-btn {
-        background: none; border: 1px solid var(--border); color: var(--muted);
-        padding: 4px 10px; border-radius: 6px; cursor: pointer; font-family: inherit; font-size: 11px;
-      }
-      .tab-btn.active { border-color: var(--accent); color: var(--accent); background: rgba(60, 179, 113, 0.08); }
-      .decisions-table { width: 100%; border-collapse: collapse; margin-top: 14px; }
-      .decisions-table th {
-        text-align: left; color: var(--muted); font-size: 11px; font-weight: 600;
-        padding: 6px 8px; border-bottom: 1px solid var(--border); white-space: nowrap;
-      }
-      .decisions-table td {
-        padding: 8px 8px; border-bottom: 1px solid rgba(40, 69, 95, 0.5);
-        vertical-align: middle; white-space: nowrap;
-      }
-      .decisions-table tr:last-child td { border-bottom: none; }
-      .decisions-table tr:hover td { background: rgba(255,255,255,0.02); }
-      .badge {
-        display: inline-block; padding: 2px 7px; border-radius: 4px;
-        font-size: 11px; font-weight: 700; letter-spacing: 0.5px;
-      }
-      .badge-buy { background: rgba(60, 179, 113, 0.15); color: var(--accent); }
-      .badge-sell { background: rgba(224, 85, 85, 0.15); color: var(--red); }
-      .badge-hold { background: rgba(159, 179, 200, 0.12); color: var(--muted); }
-      .conf-bar-wrap { display: flex; align-items: center; gap: 6px; min-width: 90px; }
-      .conf-bar { flex: 1; height: 6px; background: rgba(255,255,255,0.08); border-radius: 3px; overflow: hidden; }
-      .conf-fill { height: 100%; border-radius: 3px; background: var(--accent); transition: width 0.3s; }
-      .conf-val { color: var(--muted); font-size: 11px; min-width: 26px; text-align: right; }
-      .rationale-cell { max-width: 200px; overflow: hidden; text-overflow: ellipsis; color: var(--muted); }
-      .empty-row td { text-align: center; color: var(--muted); padding: 24px; }
-
-      /* Spinner */
-      .spinner { display: inline-block; width: 12px; height: 12px; border: 2px solid var(--border); border-top-color: var(--accent); border-radius: 50%; animation: spin 0.8s linear infinite; }
-      @keyframes spin { to { transform: rotate(360deg); } }
     </style>
   </head>
   <body>
     <div class="wrap">
-      <!-- Header -->
-      <header>
-        <h1>&#x1F40D; The Ouroboros</h1>
-        <div class="header-right">
-          <span id="last-updated">--</span>
-          <button class="refresh-btn" onclick="refreshAll()">&#x21BA; 새로고침</button>
-        </div>
-      </header>
-
-      <!-- Summary cards -->
-      <div class="cards">
-        <div class="card">
-          <div class="card-label">오늘 거래</div>
-          <div class="card-value neutral" id="card-trades">--</div>
-          <div class="card-sub" id="card-trades-sub">거래 건수</div>
-        </div>
-        <div class="card">
-          <div class="card-label">오늘 P&amp;L</div>
-          <div class="card-value" id="card-pnl">--</div>
-          <div class="card-sub" id="card-pnl-sub">실현 손익</div>
-        </div>
-        <div class="card">
-          <div class="card-label">승률</div>
-          <div class="card-value neutral" id="card-winrate">--</div>
-          <div class="card-sub">전체 누적</div>
-        </div>
-        <div class="card">
-          <div class="card-label">누적 거래</div>
-          <div class="card-value neutral" id="card-total">--</div>
-          <div class="card-sub">전체 기간</div>
-        </div>
-      </div>
-
-      <!-- P&L Chart -->
-      <div class="chart-panel">
-        <div class="panel-header">
-          <span class="panel-title">P&amp;L 추이</span>
-          <div class="days-selector">
-            <button class="day-btn active" data-days="7" onclick="selectDays(this)">7일</button>
-            <button class="day-btn" data-days="30" onclick="selectDays(this)">30일</button>
-            <button class="day-btn" data-days="90" onclick="selectDays(this)">90일</button>
-          </div>
-        </div>
-        <div class="chart-container">
-          <canvas id="pnl-chart"></canvas>
-          <div class="chart-error" id="chart-error" style="display:none">데이터 없음</div>
-        </div>
-      </div>
-
-      <!-- Decisions log -->
-      <div class="decisions-panel">
-        <div class="panel-header">
-          <span class="panel-title">최근 결정 로그</span>
-          <div class="market-tabs" id="market-tabs">
-            <button class="tab-btn active" data-market="KR" onclick="selectMarket(this)">KR</button>
-            <button class="tab-btn" data-market="US_NASDAQ" onclick="selectMarket(this)">US_NASDAQ</button>
-            <button class="tab-btn" data-market="US_NYSE" onclick="selectMarket(this)">US_NYSE</button>
-            <button class="tab-btn" data-market="JP" onclick="selectMarket(this)">JP</button>
-            <button class="tab-btn" data-market="HK" onclick="selectMarket(this)">HK</button>
-          </div>
-        </div>
-        <table class="decisions-table">
-          <thead>
-            <tr>
-              <th>시각</th>
-              <th>종목</th>
-              <th>액션</th>
-              <th>신뢰도</th>
-              <th>사유</th>
-            </tr>
-          </thead>
-          <tbody id="decisions-body">
-            <tr class="empty-row"><td colspan="5"><span class="spinner"></span></td></tr>
-          </tbody>
-        </table>
+      <div class="card">
+        <h1>The Ouroboros Dashboard API</h1>
+        <p>Use the following endpoints:</p>
+        <ul>
+          <li><code>/api/status</code></li>
+          <li><code>/api/playbook/{date}?market=KR</code></li>
+          <li><code>/api/scorecard/{date}?market=KR</code></li>
+          <li><code>/api/performance?market=all</code></li>
+          <li><code>/api/context/{layer}</code></li>
+          <li><code>/api/decisions?market=KR</code></li>
+          <li><code>/api/scenarios/active?market=US</code></li>
+        </ul>
       </div>
     </div>
-
-    <script>
-      let pnlChart = null;
-      let currentDays = 7;
-      let currentMarket = 'KR';
-
-      function fmt(dt) {
-        try {
-          const d = new Date(dt);
-          return d.toLocaleTimeString('ko-KR', { hour: '2-digit', minute: '2-digit', hour12: false });
-        } catch { return dt || '--'; }
-      }
-
-      function fmtPnl(v) {
-        if (v === null || v === undefined) return '--';
-        const n = parseFloat(v);
-        const cls = n > 0 ? 'positive' : n < 0 ? 'negative' : 'neutral';
-        const sign = n > 0 ? '+' : '';
-        return `<span class="${cls}">${sign}${n.toFixed(2)}</span>`;
-      }
-
-      function badge(action) {
-        const a = (action || '').toUpperCase();
-        const cls = a === 'BUY' ? 'badge-buy' : a === 'SELL' ? 'badge-sell' : 'badge-hold';
-        return `<span class="badge ${cls}">${a}</span>`;
-      }
-
-      function confBar(conf) {
-        const pct = Math.min(Math.max(conf || 0, 0), 100);
-        return `<div class="conf-bar-wrap">
-          <div class="conf-bar"><div class="conf-fill" style="width:${pct}%"></div></div>
-          <span class="conf-val">${pct}</span>
-        </div>`;
-      }
-
-      async function fetchStatus() {
-        try {
-          const r = await fetch('/api/status');
-          if (!r.ok) return;
-          const d = await r.json();
-          const t = d.totals || {};
-          document.getElementById('card-trades').textContent = t.trade_count ?? '--';
-          const pnlEl = document.getElementById('card-pnl');
-          const pnlV = t.total_pnl;
-          if (pnlV !== undefined) {
-            const n = parseFloat(pnlV);
-            const sign = n > 0 ? '+' : '';
-            pnlEl.textContent = `${sign}${n.toFixed(2)}`;
-            pnlEl.className = `card-value ${n > 0 ? 'positive' : n < 0 ? 'negative' : 'neutral'}`;
-          }
-          document.getElementById('card-pnl-sub').textContent = `결정 ${t.decision_count ?? 0}건`;
-        } catch {}
-      }
-
-      async function fetchPerformance() {
-        try {
-          const r = await fetch('/api/performance?market=all');
-          if (!r.ok) return;
-          const d = await r.json();
-          const c = d.combined || {};
-          document.getElementById('card-winrate').textContent = c.win_rate !== undefined ? `${c.win_rate}%` : '--';
-          document.getElementById('card-total').textContent = c.total_trades ?? '--';
-        } catch {}
-      }
-
-      async function fetchPnlHistory(days) {
-        try {
-          const r = await fetch(`/api/pnl/history?days=${days}`);
-          if (!r.ok) throw new Error('fetch failed');
-          const d = await r.json();
-          renderChart(d);
-        } catch {
-          document.getElementById('chart-error').style.display = 'block';
-        }
-      }
-
-      function renderChart(data) {
-        const errEl = document.getElementById('chart-error');
-        if (!data.labels || data.labels.length === 0) {
-          errEl.style.display = 'block';
-          return;
-        }
-        errEl.style.display = 'none';
-
-        const colors = data.pnl.map(v => v >= 0 ? 'rgba(60,179,113,0.75)' : 'rgba(224,85,85,0.75)');
-        const borderColors = data.pnl.map(v => v >= 0 ? '#3cb371' : '#e05555');
-
-        if (pnlChart) { pnlChart.destroy(); pnlChart = null; }
-        const ctx = document.getElementById('pnl-chart').getContext('2d');
-        pnlChart = new Chart(ctx, {
-          type: 'bar',
-          data: {
-            labels: data.labels,
-            datasets: [{
-              label: 'Daily P&L',
-              data: data.pnl,
-              backgroundColor: colors,
-              borderColor: borderColors,
-              borderWidth: 1,
-              borderRadius: 3,
-            }]
-          },
-          options: {
-            responsive: true,
-            maintainAspectRatio: false,
-            plugins: {
-              legend: { display: false },
-              tooltip: {
-                callbacks: {
-                  label: ctx => {
-                    const v = ctx.parsed.y;
-                    const sign = v >= 0 ? '+' : '';
-                    const trades = data.trades[ctx.dataIndex];
-                    return [`P&L: ${sign}${v.toFixed(2)}`, `거래: ${trades}건`];
-                  }
-                }
-              }
-            },
-            scales: {
-              x: {
-                ticks: { color: '#9fb3c8', font: { size: 10 }, maxRotation: 0 },
-                grid: { color: 'rgba(40,69,95,0.4)' }
-              },
-              y: {
-                ticks: { color: '#9fb3c8', font: { size: 10 } },
-                grid: { color: 'rgba(40,69,95,0.4)' }
-              }
-            }
-          }
-        });
-      }
-
-      async function fetchDecisions(market) {
-        const tbody = document.getElementById('decisions-body');
-        tbody.innerHTML = '<tr class="empty-row"><td colspan="5"><span class="spinner"></span></td></tr>';
-        try {
-          const r = await fetch(`/api/decisions?market=${market}&limit=50`);
-          if (!r.ok) throw new Error('fetch failed');
-          const d = await r.json();
-          if (!d.decisions || d.decisions.length === 0) {
-            tbody.innerHTML = '<tr class="empty-row"><td colspan="5">결정 로그 없음</td></tr>';
-            return;
-          }
-          tbody.innerHTML = d.decisions.map(dec => `
-            <tr>
-              <td>${fmt(dec.timestamp)}</td>
-              <td>${dec.stock_code || '--'}</td>
-              <td>${badge(dec.action)}</td>
-              <td>${confBar(dec.confidence)}</td>
-              <td class="rationale-cell" title="${(dec.rationale || '').replace(/"/g, '&quot;')}">${dec.rationale || '--'}</td>
-            </tr>
-          `).join('');
-        } catch {
-          tbody.innerHTML = '<tr class="empty-row"><td colspan="5">데이터 로드 실패</td></tr>';
-        }
-      }
-
-      function selectDays(btn) {
-        document.querySelectorAll('.day-btn').forEach(b => b.classList.remove('active'));
-        btn.classList.add('active');
-        currentDays = parseInt(btn.dataset.days, 10);
-        fetchPnlHistory(currentDays);
-      }
-
-      function selectMarket(btn) {
-        document.querySelectorAll('.tab-btn').forEach(b => b.classList.remove('active'));
-        btn.classList.add('active');
-        currentMarket = btn.dataset.market;
-        fetchDecisions(currentMarket);
-      }
-
-      async function refreshAll() {
-        document.getElementById('last-updated').textContent = '업데이트 중...';
-        await Promise.all([
-          fetchStatus(),
-          fetchPerformance(),
-          fetchPnlHistory(currentDays),
-          fetchDecisions(currentMarket),
-        ]);
-        const now = new Date();
-        const timeStr = now.toLocaleTimeString('ko-KR', { hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false });
-        document.getElementById('last-updated').textContent = `마지막 업데이트: ${timeStr}`;
-      }
-
-      // Initial load
-      refreshAll();
-
-      // Auto-refresh every 30 seconds
-      setInterval(refreshAll, 30000);
-    </script>
   </body>
 </html>

src/main.py

@@ -204,9 +204,7 @@ async def trading_cycle(
 
     # 1. Fetch market data
     if market.is_domestic:
-        current_price, price_change_pct, foreigner_net = await broker.get_current_price(
-            stock_code
-        )
+        orderbook = await broker.get_orderbook(stock_code)
         balance_data = await broker.get_balance()
 
         output2 = balance_data.get("output2", [{}])
@@ -217,6 +215,10 @@ async def trading_cycle(
             else "0"
         )
         purchase_total = safe_float(output2[0].get("pchs_amt_smtl_amt", "0")) if output2 else 0
+
+        current_price = safe_float(orderbook.get("output1", {}).get("stck_prpr", "0"))
+        foreigner_net = safe_float(orderbook.get("output1", {}).get("frgn_ntby_qty", "0"))
+        price_change_pct = safe_float(orderbook.get("output1", {}).get("prdy_ctrt", "0"))
     else:
         # Overseas market
         price_data = await overseas_broker.get_overseas_price(
@@ -261,19 +263,6 @@ async def trading_cycle(
         foreigner_net = 0.0  # Not available for overseas
         price_change_pct = safe_float(price_data.get("output", {}).get("rate", "0"))
 
-        # Price API may return 0/empty for certain VTS exchange codes.
-        # Fall back to the scanner candidate's price so order sizing still works.
-        if current_price <= 0:
-            market_candidates_lookup = scan_candidates.get(market.code, {})
-            cand_lookup = market_candidates_lookup.get(stock_code)
-            if cand_lookup and cand_lookup.price > 0:
-                current_price = cand_lookup.price
-                logger.debug(
-                    "Price API returned 0 for %s; using scanner price %.4f",
-                    stock_code,
-                    current_price,
-                )
-
     # Calculate daily P&L %
     pnl_pct = (
         ((total_eval - purchase_total) / purchase_total * 100)
@@ -724,8 +713,15 @@ async def run_daily_session(
         for stock_code in watchlist:
             try:
                 if market.is_domestic:
-                    current_price, price_change_pct, foreigner_net = (
-                        await broker.get_current_price(stock_code)
+                    orderbook = await broker.get_orderbook(stock_code)
+                    current_price = safe_float(
+                        orderbook.get("output1", {}).get("stck_prpr", "0")
+                    )
+                    foreigner_net = safe_float(
+                        orderbook.get("output1", {}).get("frgn_ntby_qty", "0")
+                    )
+                    price_change_pct = safe_float(
+                        orderbook.get("output1", {}).get("prdy_ctrt", "0")
                     )
                 else:
                     price_data = await overseas_broker.get_overseas_price(
@@ -748,16 +744,6 @@ async def run_daily_session(
                     price_change_pct = safe_float(
                         price_data.get("output", {}).get("rate", "0")
                     )
-                    # Fall back to scanner candidate price if API returns 0.
-                    if current_price <= 0:
-                        cand_lookup = candidate_map.get(stock_code)
-                        if cand_lookup and cand_lookup.price > 0:
-                            current_price = cand_lookup.price
-                            logger.debug(
-                                "Price API returned 0 for %s; using scanner price %.4f",
-                                stock_code,
-                                current_price,
-                            )
 
                 stock_data: dict[str, Any] = {
                     "stock_code": stock_code,
@@ -812,10 +798,6 @@ async def run_daily_session(
             if total_cash <= 0 and settings.PAPER_OVERSEAS_CASH > 0:
                 total_cash = settings.PAPER_OVERSEAS_CASH
 
-            # VTS overseas balance API often returns 0; use paper fallback.
-            if total_cash <= 0 and settings.PAPER_OVERSEAS_CASH > 0:
-                total_cash = settings.PAPER_OVERSEAS_CASH
-
         # Calculate daily P&L %
         pnl_pct = (
             ((total_eval - purchase_total) / purchase_total * 100)

src/strategy/pre_market_planner.py

@@ -1,8 +1,7 @@
 """Pre-market planner — generates DayPlaybook via Gemini before market open.
 
 One Gemini API call per market per day. Candidates come from SmartVolatilityScanner.
-On failure, returns a smart rule-based fallback playbook that uses scanner signals
-(momentum/oversold) to generate BUY conditions, avoiding the all-HOLD problem.
+On failure, returns a defensive playbook (all HOLD, no trades).
 """
 
 from __future__ import annotations
@@ -135,7 +134,7 @@ class PreMarketPlanner:
         except Exception:
             logger.exception("Playbook generation failed for %s", market)
             if self._settings.DEFENSIVE_PLAYBOOK_ON_FAILURE:
-                return self._smart_fallback_playbook(today, market, candidates, self._settings)
+                return self._defensive_playbook(today, market, candidates)
             return self._empty_playbook(today, market)
 
     def build_cross_market_context(
@@ -471,99 +470,3 @@ class PreMarketPlanner:
                 ),
             ],
         )
-
-    @staticmethod
-    def _smart_fallback_playbook(
-        today: date,
-        market: str,
-        candidates: list[ScanCandidate],
-        settings: Settings,
-    ) -> DayPlaybook:
-        """Rule-based fallback playbook when Gemini is unavailable.
-
-        Uses scanner signals (RSI, volume_ratio) to generate meaningful BUY
-        conditions instead of the all-SELL defensive playbook.  Candidates are
-        already pre-qualified by SmartVolatilityScanner, so we trust their
-        signals and build actionable scenarios from them.
-
-        Scenario logic per candidate:
-        - momentum signal: BUY when volume_ratio exceeds scanner threshold
-        - oversold signal: BUY when RSI is below oversold threshold
-        - always: SELL stop-loss at -3.0% as guard
-        """
-        stock_playbooks = []
-        for c in candidates:
-            scenarios: list[StockScenario] = []
-
-            if c.signal == "momentum":
-                scenarios.append(
-                    StockScenario(
-                        condition=StockCondition(
-                            volume_ratio_above=settings.VOL_MULTIPLIER,
-                        ),
-                        action=ScenarioAction.BUY,
-                        confidence=80,
-                        allocation_pct=10.0,
-                        stop_loss_pct=-3.0,
-                        take_profit_pct=5.0,
-                        rationale=(
-                            f"Rule-based BUY: momentum signal, "
-                            f"volume={c.volume_ratio:.1f}x (fallback planner)"
-                        ),
-                    )
-                )
-            elif c.signal == "oversold":
-                scenarios.append(
-                    StockScenario(
-                        condition=StockCondition(
-                            rsi_below=settings.RSI_OVERSOLD_THRESHOLD,
-                        ),
-                        action=ScenarioAction.BUY,
-                        confidence=80,
-                        allocation_pct=10.0,
-                        stop_loss_pct=-3.0,
-                        take_profit_pct=5.0,
-                        rationale=(
-                            f"Rule-based BUY: oversold signal, "
-                            f"RSI={c.rsi:.0f} (fallback planner)"
-                        ),
-                    )
-                )
-
-            # Always add stop-loss guard
-            scenarios.append(
-                StockScenario(
-                    condition=StockCondition(price_change_pct_below=-3.0),
-                    action=ScenarioAction.SELL,
-                    confidence=90,
-                    stop_loss_pct=-3.0,
-                    rationale="Rule-based stop-loss (fallback planner)",
-                )
-            )
-
-            stock_playbooks.append(
-                StockPlaybook(
-                    stock_code=c.stock_code,
-                    scenarios=scenarios,
-                )
-            )
-
-        logger.info(
-            "Smart fallback playbook for %s: %d stocks with rule-based BUY/SELL conditions",
-            market,
-            len(stock_playbooks),
-        )
-        return DayPlaybook(
-            date=today,
-            market=market,
-            market_outlook=MarketOutlook.NEUTRAL,
-            default_action=ScenarioAction.HOLD,
-            stock_playbooks=stock_playbooks,
-            global_rules=[
-                GlobalRule(
-                    condition="portfolio_pnl_pct < -2.0",
-                    action=ScenarioAction.REDUCE_ALL,
-                    rationale="Defensive: reduce on loss threshold",
-                ),
-            ],
-        )

tests/test_broker.py

@@ -3,7 +3,7 @@
 from __future__ import annotations
 
 import asyncio
-from unittest.mock import AsyncMock, MagicMock, patch
+from unittest.mock import AsyncMock, patch
 
 import pytest
 
@@ -296,280 +296,3 @@ class TestHashKey:
                 mock_acquire.assert_called_once()
 
         await broker.close()
-
-
-# ---------------------------------------------------------------------------
-# fetch_market_rankings — TR_ID, path, params (issue #155)
-# ---------------------------------------------------------------------------
-
-
-def _make_ranking_mock(items: list[dict]) -> AsyncMock:
-    """Build a mock HTTP response returning ranking items."""
-    mock_resp = AsyncMock()
-    mock_resp.status = 200
-    mock_resp.json = AsyncMock(return_value={"output": items})
-    mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
-    mock_resp.__aexit__ = AsyncMock(return_value=False)
-    return mock_resp
-
-
-class TestFetchMarketRankings:
-    """Verify correct TR_ID, API path, and params per ranking_type (issue #155)."""
-
-    @pytest.fixture
-    def broker(self, settings) -> KISBroker:
-        b = KISBroker(settings)
-        b._access_token = "tok"
-        b._token_expires_at = float("inf")
-        b._rate_limiter.acquire = AsyncMock()
-        return b
-
-    @pytest.mark.asyncio
-    async def test_volume_uses_correct_tr_id_and_path(self, broker: KISBroker) -> None:
-        mock_resp = _make_ranking_mock([])
-        with patch("aiohttp.ClientSession.get", return_value=mock_resp) as mock_get:
-            await broker.fetch_market_rankings(ranking_type="volume")
-
-        call_kwargs = mock_get.call_args
-        url = call_kwargs[0][0] if call_kwargs[0] else call_kwargs[1].get("url", "")
-        headers = call_kwargs[1].get("headers", {})
-        params = call_kwargs[1].get("params", {})
-
-        assert "volume-rank" in url
-        assert headers.get("tr_id") == "FHPST01710000"
-        assert params.get("FID_COND_SCR_DIV_CODE") == "20171"
-        assert params.get("FID_TRGT_EXLS_CLS_CODE") == "0000000000"
-
-    @pytest.mark.asyncio
-    async def test_fluctuation_uses_correct_tr_id_and_path(self, broker: KISBroker) -> None:
-        mock_resp = _make_ranking_mock([])
-        with patch("aiohttp.ClientSession.get", return_value=mock_resp) as mock_get:
-            await broker.fetch_market_rankings(ranking_type="fluctuation")
-
-        call_kwargs = mock_get.call_args
-        url = call_kwargs[0][0] if call_kwargs[0] else call_kwargs[1].get("url", "")
-        headers = call_kwargs[1].get("headers", {})
-        params = call_kwargs[1].get("params", {})
-
-        assert "ranking/fluctuation" in url
-        assert headers.get("tr_id") == "FHPST01700000"
-        assert params.get("fid_cond_scr_div_code") == "20170"
-
-    @pytest.mark.asyncio
-    async def test_volume_returns_parsed_rows(self, broker: KISBroker) -> None:
-        items = [
-            {
-                "mksc_shrn_iscd": "005930",
-                "hts_kor_isnm": "삼성전자",
-                "stck_prpr": "75000",
-                "acml_vol": "10000000",
-                "prdy_ctrt": "2.5",
-                "vol_inrt": "150",
-            }
-        ]
-        mock_resp = _make_ranking_mock(items)
-        with patch("aiohttp.ClientSession.get", return_value=mock_resp):
-            result = await broker.fetch_market_rankings(ranking_type="volume")
-
-        assert len(result) == 1
-        assert result[0]["stock_code"] == "005930"
-        assert result[0]["price"] == 75000.0
-        assert result[0]["change_rate"] == 2.5
-
-
-# ---------------------------------------------------------------------------
-# KRX tick unit / round-down helpers (issue #157)
-# ---------------------------------------------------------------------------
-
-
-from src.broker.kis_api import kr_tick_unit, kr_round_down  # noqa: E402
-
-
-class TestKrTickUnit:
-    """kr_tick_unit and kr_round_down must implement KRX price tick rules."""
-
-    @pytest.mark.parametrize(
-        "price, expected_tick",
-        [
-            (1999, 1),
-            (2000, 5),
-            (4999, 5),
-            (5000, 10),
-            (19999, 10),
-            (20000, 50),
-            (49999, 50),
-            (50000, 100),
-            (199999, 100),
-            (200000, 500),
-            (499999, 500),
-            (500000, 1000),
-            (1000000, 1000),
-        ],
-    )
-    def test_tick_unit_boundaries(self, price: int, expected_tick: int) -> None:
-        assert kr_tick_unit(price) == expected_tick
-
-    @pytest.mark.parametrize(
-        "price, expected_rounded",
-        [
-            (188150, 188100),   # 100원 단위, 50원 잔여 → 내림
-            (188100, 188100),   # 이미 정렬됨
-            (75050, 75000),     # 100원 단위, 50원 잔여 → 내림
-            (49950, 49950),     # 50원 단위 정렬됨
-            (49960, 49950),     # 50원 단위, 10원 잔여 → 내림
-            (1999, 1999),       # 1원 단위 → 그대로
-            (5003, 5000),       # 10원 단위, 3원 잔여 → 내림
-        ],
-    )
-    def test_round_down_to_tick(self, price: int, expected_rounded: int) -> None:
-        assert kr_round_down(price) == expected_rounded
-
-
-# ---------------------------------------------------------------------------
-# get_current_price (issue #157)
-# ---------------------------------------------------------------------------
-
-
-class TestGetCurrentPrice:
-    """get_current_price must use inquire-price API and return (price, change, foreigner)."""
-
-    @pytest.fixture
-    def broker(self, settings) -> KISBroker:
-        b = KISBroker(settings)
-        b._access_token = "tok"
-        b._token_expires_at = float("inf")
-        b._rate_limiter.acquire = AsyncMock()
-        return b
-
-    @pytest.mark.asyncio
-    async def test_returns_correct_fields(self, broker: KISBroker) -> None:
-        mock_resp = AsyncMock()
-        mock_resp.status = 200
-        mock_resp.json = AsyncMock(
-            return_value={
-                "rt_cd": "0",
-                "output": {
-                    "stck_prpr": "188600",
-                    "prdy_ctrt": "3.97",
-                    "frgn_ntby_qty": "12345",
-                },
-            }
-        )
-        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
-        mock_resp.__aexit__ = AsyncMock(return_value=False)
-
-        with patch("aiohttp.ClientSession.get", return_value=mock_resp) as mock_get:
-            price, change_pct, foreigner = await broker.get_current_price("005930")
-
-        assert price == 188600.0
-        assert change_pct == 3.97
-        assert foreigner == 12345.0
-
-        call_kwargs = mock_get.call_args
-        url = call_kwargs[0][0] if call_kwargs[0] else call_kwargs[1].get("url", "")
-        headers = call_kwargs[1].get("headers", {})
-        assert "inquire-price" in url
-        assert headers.get("tr_id") == "FHKST01010100"
-
-    @pytest.mark.asyncio
-    async def test_http_error_raises_connection_error(self, broker: KISBroker) -> None:
-        mock_resp = AsyncMock()
-        mock_resp.status = 500
-        mock_resp.text = AsyncMock(return_value="Internal Server Error")
-        mock_resp.__aenter__ = AsyncMock(return_value=mock_resp)
-        mock_resp.__aexit__ = AsyncMock(return_value=False)
-
-        with patch("aiohttp.ClientSession.get", return_value=mock_resp):
-            with pytest.raises(ConnectionError, match="get_current_price failed"):
-                await broker.get_current_price("005930")
-
-
-# ---------------------------------------------------------------------------
-# send_order tick rounding and ORD_DVSN (issue #157)
-# ---------------------------------------------------------------------------
-
-
-class TestSendOrderTickRounding:
-    """send_order must apply KRX tick rounding and correct ORD_DVSN codes."""
-
-    @pytest.fixture
-    def broker(self, settings) -> KISBroker:
-        b = KISBroker(settings)
-        b._access_token = "tok"
-        b._token_expires_at = float("inf")
-        b._rate_limiter.acquire = AsyncMock()
-        return b
-
-    @pytest.mark.asyncio
-    async def test_limit_order_rounds_down_to_tick(self, broker: KISBroker) -> None:
-        """Price 188150 (not on 100-won tick) must be rounded to 188100."""
-        mock_hash = AsyncMock()
-        mock_hash.status = 200
-        mock_hash.json = AsyncMock(return_value={"HASH": "h"})
-        mock_hash.__aenter__ = AsyncMock(return_value=mock_hash)
-        mock_hash.__aexit__ = AsyncMock(return_value=False)
-
-        mock_order = AsyncMock()
-        mock_order.status = 200
-        mock_order.json = AsyncMock(return_value={"rt_cd": "0"})
-        mock_order.__aenter__ = AsyncMock(return_value=mock_order)
-        mock_order.__aexit__ = AsyncMock(return_value=False)
-
-        with patch(
-            "aiohttp.ClientSession.post", side_effect=[mock_hash, mock_order]
-        ) as mock_post:
-            await broker.send_order("005930", "BUY", 1, price=188150)
-
-        order_call = mock_post.call_args_list[1]
-        body = order_call[1].get("json", {})
-        assert body["ORD_UNPR"] == "188100"  # rounded down
-        assert body["ORD_DVSN"] == "00"       # 지정가
-
-    @pytest.mark.asyncio
-    async def test_limit_order_ord_dvsn_is_00(self, broker: KISBroker) -> None:
-        """send_order with price>0 must use ORD_DVSN='00' (지정가)."""
-        mock_hash = AsyncMock()
-        mock_hash.status = 200
-        mock_hash.json = AsyncMock(return_value={"HASH": "h"})
-        mock_hash.__aenter__ = AsyncMock(return_value=mock_hash)
-        mock_hash.__aexit__ = AsyncMock(return_value=False)
-
-        mock_order = AsyncMock()
-        mock_order.status = 200
-        mock_order.json = AsyncMock(return_value={"rt_cd": "0"})
-        mock_order.__aenter__ = AsyncMock(return_value=mock_order)
-        mock_order.__aexit__ = AsyncMock(return_value=False)
-
-        with patch(
-            "aiohttp.ClientSession.post", side_effect=[mock_hash, mock_order]
-        ) as mock_post:
-            await broker.send_order("005930", "BUY", 1, price=50000)
-
-        order_call = mock_post.call_args_list[1]
-        body = order_call[1].get("json", {})
-        assert body["ORD_DVSN"] == "00"
-
-    @pytest.mark.asyncio
-    async def test_market_order_ord_dvsn_is_01(self, broker: KISBroker) -> None:
-        """send_order with price=0 must use ORD_DVSN='01' (시장가)."""
-        mock_hash = AsyncMock()
-        mock_hash.status = 200
-        mock_hash.json = AsyncMock(return_value={"HASH": "h"})
-        mock_hash.__aenter__ = AsyncMock(return_value=mock_hash)
-        mock_hash.__aexit__ = AsyncMock(return_value=False)
-
-        mock_order = AsyncMock()
-        mock_order.status = 200
-        mock_order.json = AsyncMock(return_value={"rt_cd": "0"})
-        mock_order.__aenter__ = AsyncMock(return_value=mock_order)
-        mock_order.__aexit__ = AsyncMock(return_value=False)
-
-        with patch(
-            "aiohttp.ClientSession.post", side_effect=[mock_hash, mock_order]
-        ) as mock_post:
-            await broker.send_order("005930", "SELL", 1, price=0)
-
-        order_call = mock_post.call_args_list[1]
-        body = order_call[1].get("json", {})
-        assert body["ORD_DVSN"] == "01"
-        assert body["ORD_UNPR"] == "0"

tests/test_dashboard.py

@@ -296,23 +296,3 @@ def test_scenarios_active_empty_when_no_matches(tmp_path: Path) -> None:
     get_active_scenarios = _endpoint(app, "/api/scenarios/active")
     body = get_active_scenarios(market="US", date_str="2026-02-14", limit=50)
     assert body["count"] == 0
-
-
-def test_pnl_history_all_markets(tmp_path: Path) -> None:
-    app = _app(tmp_path)
-    get_pnl_history = _endpoint(app, "/api/pnl/history")
-    body = get_pnl_history(days=30, market="all")
-    assert body["market"] == "all"
-    assert isinstance(body["labels"], list)
-    assert isinstance(body["pnl"], list)
-    assert len(body["labels"]) == len(body["pnl"])
-
-
-def test_pnl_history_market_filter(tmp_path: Path) -> None:
-    app = _app(tmp_path)
-    get_pnl_history = _endpoint(app, "/api/pnl/history")
-    body = get_pnl_history(days=30, market="KR")
-    assert body["market"] == "KR"
-    # KR has 1 trade with pnl=2.0
-    assert len(body["labels"]) >= 1
-    assert body["pnl"][0] == 2.0

tests/test_main.py

@@ -111,7 +111,15 @@ class TestTradingCycleTelegramIntegration:
     def mock_broker(self) -> MagicMock:
         """Create mock broker."""
         broker = MagicMock()
-        broker.get_current_price = AsyncMock(return_value=(50000.0, 1.23, 100.0))
+        broker.get_orderbook = AsyncMock(
+            return_value={
+                "output1": {
+                    "stck_prpr": "50000",
+                    "frgn_ntby_qty": "100",
+                    "prdy_ctrt": "1.23",
+                }
+            }
+        )
         broker.get_balance = AsyncMock(
             return_value={
                 "output2": [
@@ -730,83 +738,6 @@ class TestOverseasBalanceParsing:
         # Verify price API was called
         mock_overseas_broker_with_empty_price.get_overseas_price.assert_called_once()
 
-    @pytest.fixture
-    def mock_overseas_broker_with_buy_scenario(self) -> MagicMock:
-        """Create mock overseas broker that returns a valid price for BUY orders."""
-        broker = MagicMock()
-        broker.get_overseas_price = AsyncMock(
-            return_value={"output": {"last": "182.50"}}
-        )
-        broker.get_overseas_balance = AsyncMock(
-            return_value={
-                "output2": [
-                    {
-                        "frcr_evlu_tota": "100000.00",
-                        "frcr_dncl_amt_2": "50000.00",
-                        "frcr_buy_amt_smtl": "50000.00",
-                    }
-                ]
-            }
-        )
-        broker.send_overseas_order = AsyncMock(return_value={"msg1": "주문접수"})
-        return broker
-
-    @pytest.fixture
-    def mock_scenario_engine_buy(self) -> MagicMock:
-        """Create mock scenario engine that returns BUY."""
-        engine = MagicMock(spec=ScenarioEngine)
-        engine.evaluate = MagicMock(return_value=_make_buy_match("AAPL"))
-        return engine
-
-    @pytest.mark.asyncio
-    async def test_overseas_buy_order_uses_limit_price(
-        self,
-        mock_domestic_broker: MagicMock,
-        mock_overseas_broker_with_buy_scenario: MagicMock,
-        mock_scenario_engine_buy: MagicMock,
-        mock_playbook: DayPlaybook,
-        mock_risk: MagicMock,
-        mock_db: MagicMock,
-        mock_decision_logger: MagicMock,
-        mock_context_store: MagicMock,
-        mock_criticality_assessor: MagicMock,
-        mock_telegram: MagicMock,
-        mock_overseas_market: MagicMock,
-    ) -> None:
-        """Overseas BUY order must use current_price (limit), not 0 (market).
-
-        KIS VTS rejects market orders for overseas paper trading.
-        Regression test for issue #149.
-        """
-        mock_telegram.notify_trade_execution = AsyncMock()
-
-        with patch("src.main.log_trade"):
-            await trading_cycle(
-                broker=mock_domestic_broker,
-                overseas_broker=mock_overseas_broker_with_buy_scenario,
-                scenario_engine=mock_scenario_engine_buy,
-                playbook=mock_playbook,
-                risk=mock_risk,
-                db_conn=mock_db,
-                decision_logger=mock_decision_logger,
-                context_store=mock_context_store,
-                criticality_assessor=mock_criticality_assessor,
-                telegram=mock_telegram,
-                market=mock_overseas_market,
-                stock_code="AAPL",
-                scan_candidates={},
-            )
-
-        # Verify limit order was sent with actual price + 0.5% premium (issue #151), not 0.0
-        mock_overseas_broker_with_buy_scenario.send_overseas_order.assert_called_once()
-        call_kwargs = mock_overseas_broker_with_buy_scenario.send_overseas_order.call_args
-        sent_price = call_kwargs[1].get("price") or call_kwargs[0][4]
-        expected_price = round(182.5 * 1.005, 4)  # 0.5% premium for BUY limit orders
-        assert sent_price == expected_price, (
-            f"Expected limit price {expected_price} (182.5 * 1.005) but got {sent_price}. "
-            "KIS VTS only accepts limit orders; BUY uses 0.5% premium to improve fill rate."
-        )
-
 
 class TestScenarioEngineIntegration:
     """Test scenario engine integration in trading_cycle."""
@@ -815,7 +746,11 @@ class TestScenarioEngineIntegration:
     def mock_broker(self) -> MagicMock:
         """Create mock broker with standard domestic data."""
         broker = MagicMock()
-        broker.get_current_price = AsyncMock(return_value=(50000.0, 2.50, 100.0))
+        broker.get_orderbook = AsyncMock(
+            return_value={
+                "output1": {"stck_prpr": "50000", "frgn_ntby_qty": "100", "prdy_ctrt": "2.50"}
+            }
+        )
         broker.get_balance = AsyncMock(
             return_value={
                 "output2": [
@@ -1237,7 +1172,9 @@ async def test_sell_updates_original_buy_decision_outcome() -> None:
     )
 
     broker = MagicMock()
-    broker.get_current_price = AsyncMock(return_value=(120.0, 0.0, 0.0))
+    broker.get_orderbook = AsyncMock(
+        return_value={"output1": {"stck_prpr": "120", "frgn_ntby_qty": "0"}}
+    )
     broker.get_balance = AsyncMock(
         return_value={
             "output2": [
@@ -1327,7 +1264,9 @@ async def test_hold_overridden_to_sell_when_stop_loss_triggered() -> None:
     )
 
     broker = MagicMock()
-    broker.get_current_price = AsyncMock(return_value=(95.0, -5.0, 0.0))
+    broker.get_orderbook = AsyncMock(
+        return_value={"output1": {"stck_prpr": "95", "frgn_ntby_qty": "0", "prdy_ctrt": "-5.0"}}
+    )
     broker.get_balance = AsyncMock(
         return_value={
             "output2": [

tests/test_pre_market_planner.py

@@ -164,23 +164,18 @@ class TestGeneratePlaybook:
         assert pb.market_outlook == MarketOutlook.NEUTRAL
 
     @pytest.mark.asyncio
-    async def test_gemini_failure_returns_smart_fallback(self) -> None:
+    async def test_gemini_failure_returns_defensive(self) -> None:
         planner = _make_planner()
         planner._gemini.decide = AsyncMock(side_effect=RuntimeError("API timeout"))
-        # oversold candidate (signal="oversold", rsi=28.5)
         candidates = [_candidate()]
 
         pb = await planner.generate_playbook("KR", candidates, today=date(2026, 2, 8))
 
         assert pb.default_action == ScenarioAction.HOLD
-        # Smart fallback uses NEUTRAL outlook (not NEUTRAL_TO_BEARISH)
-        assert pb.market_outlook == MarketOutlook.NEUTRAL
+        assert pb.market_outlook == MarketOutlook.NEUTRAL_TO_BEARISH
         assert pb.stock_count == 1
-        # Oversold candidate → first scenario is BUY, second is SELL stop-loss
-        scenarios = pb.stock_playbooks[0].scenarios
-        assert scenarios[0].action == ScenarioAction.BUY
-        assert scenarios[0].condition.rsi_below == 30
-        assert scenarios[1].action == ScenarioAction.SELL
+        # Defensive playbook has stop-loss scenarios
+        assert pb.stock_playbooks[0].scenarios[0].action == ScenarioAction.SELL
 
     @pytest.mark.asyncio
     async def test_gemini_failure_empty_when_defensive_disabled(self) -> None:
@@ -662,171 +657,3 @@ class TestDefensivePlaybook:
         assert pb.stock_count == 0
         assert pb.market == "US"
         assert pb.market_outlook == MarketOutlook.NEUTRAL
-
-
-# ---------------------------------------------------------------------------
-# Smart fallback playbook
-# ---------------------------------------------------------------------------
-
-
-class TestSmartFallbackPlaybook:
-    """Tests for _smart_fallback_playbook — rule-based BUY/SELL on Gemini failure."""
-
-    def _make_settings(self) -> Settings:
-        return Settings(
-            KIS_APP_KEY="test",
-            KIS_APP_SECRET="test",
-            KIS_ACCOUNT_NO="12345678-01",
-            GEMINI_API_KEY="test",
-            RSI_OVERSOLD_THRESHOLD=30,
-            VOL_MULTIPLIER=2.0,
-        )
-
-    def test_momentum_candidate_gets_buy_on_volume(self) -> None:
-        candidates = [
-            _candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)
-        ]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", candidates, settings
-        )
-
-        assert pb.stock_count == 1
-        sp = pb.stock_playbooks[0]
-        assert sp.stock_code == "CHOW"
-        # First scenario: BUY with volume_ratio_above
-        buy_sc = sp.scenarios[0]
-        assert buy_sc.action == ScenarioAction.BUY
-        assert buy_sc.condition.volume_ratio_above == 2.0
-        assert buy_sc.condition.rsi_below is None
-        assert buy_sc.confidence == 80
-        # Second scenario: stop-loss SELL
-        sell_sc = sp.scenarios[1]
-        assert sell_sc.action == ScenarioAction.SELL
-        assert sell_sc.condition.price_change_pct_below == -3.0
-
-    def test_oversold_candidate_gets_buy_on_rsi(self) -> None:
-        candidates = [
-            _candidate(code="005930", signal="oversold", rsi=22.0, volume_ratio=3.5)
-        ]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "KR", candidates, settings
-        )
-
-        sp = pb.stock_playbooks[0]
-        buy_sc = sp.scenarios[0]
-        assert buy_sc.action == ScenarioAction.BUY
-        assert buy_sc.condition.rsi_below == 30
-        assert buy_sc.condition.volume_ratio_above is None
-
-    def test_all_candidates_have_stop_loss_sell(self) -> None:
-        candidates = [
-            _candidate(code="AAA", signal="momentum", volume_ratio=5.0),
-            _candidate(code="BBB", signal="oversold", rsi=25.0),
-        ]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_NASDAQ", candidates, settings
-        )
-
-        assert pb.stock_count == 2
-        for sp in pb.stock_playbooks:
-            sell_scenarios = [s for s in sp.scenarios if s.action == ScenarioAction.SELL]
-            assert len(sell_scenarios) == 1
-            assert sell_scenarios[0].condition.price_change_pct_below == -3.0
-            assert sell_scenarios[0].condition.price_change_pct_below == -3.0
-
-    def test_market_outlook_is_neutral(self) -> None:
-        candidates = [_candidate(signal="momentum", volume_ratio=5.0)]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", candidates, settings
-        )
-
-        assert pb.market_outlook == MarketOutlook.NEUTRAL
-
-    def test_default_action_is_hold(self) -> None:
-        candidates = [_candidate(signal="momentum", volume_ratio=5.0)]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", candidates, settings
-        )
-
-        assert pb.default_action == ScenarioAction.HOLD
-
-    def test_has_global_reduce_all_rule(self) -> None:
-        candidates = [_candidate(signal="momentum", volume_ratio=5.0)]
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", candidates, settings
-        )
-
-        assert len(pb.global_rules) == 1
-        rule = pb.global_rules[0]
-        assert rule.action == ScenarioAction.REDUCE_ALL
-        assert "portfolio_pnl_pct" in rule.condition
-
-    def test_empty_candidates_returns_empty_playbook(self) -> None:
-        settings = self._make_settings()
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", [], settings
-        )
-
-        assert pb.stock_count == 0
-
-    def test_vol_multiplier_applied_from_settings(self) -> None:
-        """VOL_MULTIPLIER=3.0 should set volume_ratio_above=3.0 for momentum."""
-        candidates = [_candidate(signal="momentum", volume_ratio=5.0)]
-        settings = self._make_settings()
-        settings = settings.model_copy(update={"VOL_MULTIPLIER": 3.0})
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "US_AMEX", candidates, settings
-        )
-
-        buy_sc = pb.stock_playbooks[0].scenarios[0]
-        assert buy_sc.condition.volume_ratio_above == 3.0
-
-    def test_rsi_oversold_threshold_applied_from_settings(self) -> None:
-        """RSI_OVERSOLD_THRESHOLD=25 should set rsi_below=25 for oversold."""
-        candidates = [_candidate(signal="oversold", rsi=22.0)]
-        settings = self._make_settings()
-        settings = settings.model_copy(update={"RSI_OVERSOLD_THRESHOLD": 25})
-
-        pb = PreMarketPlanner._smart_fallback_playbook(
-            date(2026, 2, 17), "KR", candidates, settings
-        )
-
-        buy_sc = pb.stock_playbooks[0].scenarios[0]
-        assert buy_sc.condition.rsi_below == 25
-
-    @pytest.mark.asyncio
-    async def test_generate_playbook_uses_smart_fallback_on_gemini_error(self) -> None:
-        """generate_playbook() should use smart fallback (not defensive) on API failure."""
-        planner = _make_planner()
-        planner._gemini.decide = AsyncMock(side_effect=ConnectionError("429 quota exceeded"))
-        # momentum candidate
-        candidates = [
-            _candidate(code="CHOW", signal="momentum", volume_ratio=13.64, rsi=100.0)
-        ]
-
-        pb = await planner.generate_playbook(
-            "US_AMEX", candidates, today=date(2026, 2, 18)
-        )
-
-        # Should NOT be all-SELL defensive; should have BUY for momentum
-        assert pb.stock_count == 1
-        buy_scenarios = [
-            s for s in pb.stock_playbooks[0].scenarios
-            if s.action == ScenarioAction.BUY
-        ]
-        assert len(buy_scenarios) == 1
-        assert buy_scenarios[0].condition.volume_ratio_above == 2.0  # VOL_MULTIPLIER default