支撑位和阻力位列内容居中展示

表格支撑位和阻力位拆为四列：支撑位一/二、阻力位一/二
支撑位和阻力位改为逐个标注：表格用S1/R1标签，抽屉分开展示每层价位
2026-05-11 22:42:28 +08:00 · 2026-05-11 22:21:21 +08:00 · 2026-05-11 22:07:36 +08:00 · 2026-05-11 21:44:46 +08:00 · 2026-05-11 21:39:21 +08:00 · 2026-05-11 21:23:53 +08:00
38 changed files with 3432 additions and 321 deletions
--- a/CLAUDE.md
+++ b/CLAUDE.md
@@ -45,11 +45,11 @@ docker-compose -f docker-compose.trade.yml exec postgres psql -U trade -d future

 **单进程串行流水线**:`src.main.main()` 先按命令行参数(显式 `ts_code` 优先,否则 `contracts.active_contract(symbol)` 按当月主力自动选)定下合约,再调 `run()` 顺序执行 `fetcher → storage(candles) → scorer → storage(scores)`。无后台任务、无队列,每次 CLI 调用处理一个合约一日。

-**FastAPI 服务**(`src.api`):容器默认以 `uvicorn src.api:app` 启动,暴露 `/api/v1/run`(触发流水线)、`/api/v1/run/batch`(批量打分)、`/api/v1/scores`、`/api/v1/scores/{id}`、`/api/v1/contracts`、`/api/v1/candles` 等端点。启动时自动 `storage.init_db()` 建表。API 与 CLI 共用同一套 `fetcher/storage/scorer` 逻辑。
+**FastAPI 服务**(`src.api`):容器默认以 `uvicorn src.api:app` 启动,暴露 `/api/v1/run`(触发流水线)、`/api/v1/run/batch`(批量打分)、`/api/v1/scores`、`/api/v1/scores/{id}`、`/api/v1/contracts`、`/api/v1/candles`、`/api/v1/admin/reset-data`(清空行情数据) 等端点。启动时自动 `storage.init_db()` 建表。API 与 CLI 共用同一套 `fetcher/storage/scorer` 逻辑。

 **主力轮换规则**(`contracts.py`):每个品种在 `ROLLOVER_RULES` 中维护 `month -> (主力月, 年份偏移)` 表。FG 当前规则:1-3/12 月→05、4-7 月→09、8-11 月→01,其中 8-11 月与 12 月跨年(`year_offset=1`)。新增品种(如 RB、I)只需在该 dict 里加一条,无需改 main 流程。

-**三层打分模型**(`scorer.py`):综合 = 短期(7日,0.4) + 中期(15日,0.35) + 长期(30日,0.25)。`score_daily()` 要求 DataFrame ≥31 行,`fetcher.fetch_contract` 默认拉一个合约的全历史(实际 100+ 行),按 `trade_date` 升序排列后供打分使用。打分结果通过 `dataclass ScoreResult` + `ScoreDetail` 流转,`storage.save_score` 把 detail 序列化为 `detail_json` 文本列。
+**三层打分模型**(`scorer.py`):综合 = (短期(7日,0.4) + 中期(15日,0.35) + 长期(30日,0.25)) × 波动率惩罚系数。短期引入幅度因子(价格/OI变化率)和量能确认,按象限(增仓涨/跌、减仓涨/跌、持平)给基础分再叠加加成;中期资金意愿连续化(50 + (增仓涨-增仓跌)/15×50);长期加入30日价格趋势分与OI趋势分 4:6 合成;高波动品种综合分打 85-100 折。`score_daily()` 要求 DataFrame ≥31 行,`fetcher.fetch_contract` 默认拉一个合约的全历史(实际 100+ 行),按 `trade_date` 升序排列后供打分使用。打分结果通过 `dataclass ScoreResult` + `ScoreDetail` 流转,`storage.save_score` 把 detail 序列化为 `detail_json` 文本列。

 **PostgreSQL 作为业务数据库**:docker-compose 编排 `postgres:18.3-alpine3.23`,`tushare` 与 `web` 服务均通过 `DATABASE_URL` 连接。`storage.py` 使用 `psycopg3` 驱动,`candles` 与 `scores` 表以 `ON CONFLICT (ts_code, trade_date) DO UPDATE` 实现幂等,可反复重跑同一天。`scores` 表主键为 `UUID DEFAULT uuidv7() PRIMARY KEY`(见 `models.py` 与 `storage.py`)。

@@ -71,6 +71,7 @@ docker-compose -f docker-compose.trade.yml exec postgres psql -U trade -d future
 - 统一 DB:业务数据与用户鉴权数据均存储在 PostgreSQL `futures` 数据库中,通过 `DATABASE_URL` 访问。`auth.db`(SQLite)已废弃,`users` 表现在由 `AuthStore` 直接管理在 PostgreSQL 中。
 - 鉴权已简化:登录接口返回固定 token,`middleware.RequireUser` 直接注入默认管理员上下文,所有请求放行。后端仍保留密码校验与角色检查(`RequireAdmin`)。前端把 token 持久化到 `localStorage`,axios 拦截器统一注入 + 401 自动跳登录。
 - 前端支持暗/浅色模式切换(`stores/theme.ts`),侧边导航在暗色模式用 `#282828`、浅色模式用 `#f9fafb`。
+- 侧边栏提供「同步数据」（批量打分）、「数据重置」（管理员清空行情数据）功能。

 **禁止公开注册**:登录后管理员才能在 `/admin/users` 维护账号。首次启动时 `auth.Bootstrap` 检查 `users` 表,若没有 admin 行,则自动创建默认管理员 `admin` / `admin`,并标记强制首次登录后改密码。忘记管理员密码的恢复方式:停服 → 清理 PostgreSQL 中的 admin 记录 → 重启。

--- a/README.md
+++ b/README.md
@@ -49,6 +49,9 @@ curl "http://localhost:4001/api/v1/contracts"

 # 查询 K 线数据
 curl "http://localhost:4001/api/v1/candles?ts_code=FG2609.ZCE"
+
+# 清空所有行情数据（谨慎操作）
+curl -X POST http://localhost:4001/api/v1/admin/reset-data
 ```

 ### 5. 跑其他合约或品种
@@ -76,32 +79,39 @@ docker-compose -f docker-compose.trade.yml run --rm tushare python -m src.main -
 ### 综合分数公式

 ```
-综合分数 = (短期动力 × 0.4) + (中期趋势 × 0.35) + (长期结构 × 0.25)
+综合分数 = (短期动力 × 0.4 + 中期趋势 × 0.35 + 长期结构 × 0.25) × 波动率惩罚系数
 ```

 ### 1. 短期动力（7 日窗口，权重 0.4）

-逐日打分后取均值：
+逐日打分后取均值。每日评分 = (象限基础分 + 幅度加成) × 量能确认，产出 0-100 连续值。

-| 持仓变化 | 价格方向 | 得分 |
-|---------|---------|------|
-| 增仓 | 上涨 | 100（多头主动进攻） |
-| 增仓 | 下跌 | 0（空头主动进攻） |
-| 减仓 | 上涨 | 70（空头撤退） |
-| 减仓 | 下跌 | 30（多头撤退） |
-| 持平（\|变化\|<1%） | 上涨 | 60 |
-| 持平（\|变化\|<1%） | 下跌 | 40 |
+**象限基础分**（持仓与价格方向）：
+
+| 象限 | 持仓变化 | 价格方向 | 基础分 |
+|------|---------|---------|--------|
+| accumulation（增仓上涨） | 增仓 | 上涨 | 75 |
+| distribution（增仓下跌） | 增仓 | 下跌 | 25 |
+| covering（减仓上涨） | 减仓 | 上涨 | 65 |
+| liquidation（减仓下跌） | 减仓 | 下跌 | 20 |
+| flat（持平） | \|变化\|<1% | 上涨 | 60 |
+| flat（持平） | \|变化\|<1% | 下跌 | 40 |
+
+**幅度加成**（根据 OI 变化率和涨跌幅放大有利方向得分）：
+- OI 变化率封顶 5%，价格涨跌幅封顶 3%
+- 增仓上涨 / 减仓下跌（有利方向）：加成 = (OI 幅度 + 价格幅度) / 2 × 20
+- 持仓持平：加成 = 价格幅度 × 10
+- 增仓下跌 / 减仓上涨（不利方向）：无加成
+
+**量能确认**：`量比 = 当日成交量 / 7 日均量`，系数范围 [0.9, 1.2]，量比 1.5 以上封顶

 ### 2. 中期趋势（15 日窗口，权重 0.35）

 ```
-价格信号 = (今收 - 15日前收) / 15日前收
-价格信号得分 = clamp(50 + 收益率×500, 0, 100)
+价格收益率 = (今收 - 15日前收) / 15日前收
+价格信号分 = clamp(50 + 收益率 × 500, 0, 100)

-资金意愿:
-  增仓上涨天数 > 增仓下跌天数 → 80
-  两者相当 → 50
-  增仓下跌天数 > 增仓上涨天数 → 20
+资金意愿 = 50 + (增仓上涨天数 - 增仓下跌天数) / 15 × 50  （连续值 0-100）

 模块得分 = 价格信号 × 0.6 + 资金意愿 × 0.4
 ```
@@ -109,15 +119,23 @@ docker-compose -f docker-compose.trade.yml run --rm tushare python -m src.main -
 ### 3. 长期结构（30 日窗口，权重 0.25）

 ```
-持仓变化幅度 = (30日日均持仓 - 30日前持仓) / 30日前持仓
+OI 趋势分 = clamp(50 + OI变化幅度 × 250, 0, 100)    （权重 60%）
+价格趋势分 = clamp(50 + 30日价格收益率 × 200, 0, 100)  （权重 40%）

-> 10%  → 90（显著增仓）
-5%~10% → 70（温和增仓）
-5%~5% → 50（基本持平）
-10%~-5% → 30（温和减仓）
-< -10% → 10（显著减仓）
+模块得分 = OI 趋势分 × 0.6 + 价格趋势分 × 0.4
 ```

+### 4. 波动率调整
+
+基于近 30 日日收益率标准差和 ATR%（平均真实波幅/均价）：
+
+```
+日波动率 ≤ 1.5%  →  惩罚系数 = 1.0（无惩罚）
+日波动率 > 1.5%  →  惩罚系数 = max(0.85, 1.0 - (日波动率 - 1.5%) × 10)
+```
+
+高波动品种的综合分会被适当打折，最低打 85 折。
+
 ### 信号解读

 | 综合分数 | 信号 |
@@ -237,8 +255,11 @@ docker-compose -f docker-compose.trade.yml logs -f web

 ### 3. 页面说明

- **打分列表** `/scores`:按合约、日期、条数筛选,展示综合分/信号/三层得分;点击「明细」弹抽屉,显示短期 7 日逐日打分、中期(15d)价格收益与资金意愿、长期(30d)持仓变化。
+- **打分列表** `/scores`:按合约、日期、条数筛选,展示综合分/信号/三层得分;点击「明细」弹抽屉,显示短期 7 日逐日打分(涨跌幅/OI变化%/量比/象限)、中期(15d)价格收益与资金意愿、长期(30d)OI/价格趋势分与波动率调整。
 - **K 线 / 持仓** `/chart`:选合约 + 日期区间,主图蜡烛(开高低收),副图持仓量曲线;鼠标拖选缩放。
+- **同步数据**（侧边栏）:点击调用批量打分接口,对所有固定品种执行当日打分,完成后自动跳转并刷新打分列表。
+- **手动打分** `/run`:选品种 + 日期,对单个合约执行数据拉取与打分。
+- **数据重置**（侧边栏，仅管理员）:输入确认文字后清空所有行情数据（candles + scores），用户表不受影响。
 - **用户管理** `/admin/users`:仅管理员可见。可创建子账号(`user` 默认,亦可建 `admin`)、重置密码、禁用/启用、删除;不允许对自己执行禁用或删除。

 普通用户登录后 `/admin/*` 路径会被前端守卫拦截并跳回 `/scores`,后端也会以 403 拒绝。
--- a/tushare/requirements.txt
+++ b/tushare/requirements.txt
@@ -1,4 +1,5 @@
 tushare>=1.4.0
+numpy>=2.0.0
 pandas>=2.2.0
 fastapi>=0.115.0
 uvicorn[standard]>=0.34.0
--- a/tushare/src/api.py
+++ b/tushare/src/api.py
@@ -1,6 +1,6 @@
 from typing import Optional

-from datetime import date
+from datetime import date, datetime, timedelta

 from fastapi import FastAPI, HTTPException, Query
 from pydantic import BaseModel
@@ -16,6 +16,16 @@ class RunRequest(BaseModel):
    trade_date: Optional[str] = None


+class RunRangeRequest(BaseModel):
+    symbol: str = "FG"
+    start_date: str
+    end_date: str
+
+
+class RunFullRequest(BaseModel):
+    ts_code: str
+
+
 class RunResponse(BaseModel):
    ts_code: str
    trade_date: str
@@ -27,6 +37,9 @@ class RunResponse(BaseModel):
    long_term: float
    composite: float
    signal: str
+    vol_penalty: float = 1.0
+    composite_delta: Optional[float] = None
+    composite_delta_5d: Optional[float] = None


@app.on_event("startup")
@@ -41,8 +54,11 @@ def health():

@app.post("/api/v1/run", response_model=RunResponse)
 def run_pipeline(req: RunRequest):
-    ts_code = req.ts_code or contracts.active_contract(req.symbol)
-    if not req.ts_code:
+    ref_date = datetime.strptime(req.trade_date, "%Y%m%d").date() if req.trade_date else None
+    ts_code = req.ts_code or contracts.active_contract(req.symbol, ref_date)
+    if req.ts_code:
+        ts_code = contracts.normalize_ts_code(ts_code)
+    else:
        print(f"[AUTO] {req.symbol} 当月主力 -> {ts_code}")

    df = fetcher.fetch_contract(ts_code)
@@ -61,6 +77,9 @@ def run_pipeline(req: RunRequest):
        long_term=result.long_term,
        composite=result.composite,
        signal=result.signal,
+        vol_penalty=result.vol_penalty,
+        composite_delta=result.composite_delta,
+        composite_delta_5d=result.composite_delta_5d,
    )


@@ -88,6 +107,74 @@ def run_batch():
    return {"results": results, "errors": errors}


+@app.post("/api/v1/run/range")
+def run_range(req: RunRangeRequest):
+    """对指定日期区间内的每一天分别打分。"""
+    start_dt = datetime.strptime(req.start_date, "%Y%m%d").date()
+    ts_code = contracts.active_contract(req.symbol, start_dt)
+
+    # 为确保区间开始日有足够前置数据,拉取时 start_date 前推 60 天
+    fetch_start = (start_dt - timedelta(days=60)).strftime("%Y%m%d")
+
+    df = fetcher.fetch_contract(ts_code, start_date=fetch_start, end_date=req.end_date)
+    storage.save_candles(df)
+
+    results, warnings = scorer.score_range(df, req.start_date, req.end_date)
+
+    for r in results:
+        storage.save_score(r)
+
+    return {
+        "ts_code": ts_code,
+        "start_date": req.start_date,
+        "end_date": req.end_date,
+        "scored": len(results),
+        "skipped": len(warnings),
+        "warnings": warnings,
+        "results": [
+            {
+                "trade_date": r.trade_date,
+                "close": r.close,
+                "composite": r.composite,
+                "signal": r.signal,
+            }
+            for r in results
+        ],
+    }
+
+
+@app.post("/api/v1/run/full")
+def run_full(req: RunFullRequest):
+    """拉取指定合约全部历史数据，保存 candles，对所有可打分日期逐日打分并保存。"""
+    ts_code = contracts.normalize_ts_code(req.ts_code)
+    df = fetcher.fetch_contract(ts_code)
+    storage.save_candles(df)
+
+    results, warnings, total_days, scored_count = scorer.score_all(df)
+
+    for r in results:
+        storage.save_score(r)
+
+    skipped_count = total_days - scored_count
+
+    return {
+        "ts_code": ts_code,
+        "total_days": total_days,
+        "scored_count": scored_count,
+        "skipped_count": skipped_count,
+        "warnings": warnings,
+        "results": [
+            {
+                "trade_date": r.trade_date,
+                "close": r.close,
+                "composite": r.composite,
+                "signal": r.signal,
+            }
+            for r in results
+        ],
+    }
+
+
@app.get("/api/v1/scores")
 def list_scores(
    ts_code: Optional[str] = Query(None),
@@ -193,3 +280,10 @@ def list_candles(
            return [dict(zip(cols, row)) for row in cur.fetchall()]
    finally:
        conn.close()
+
+
+@app.post("/api/v1/admin/reset-data")
+def reset_data():
+    """清空所有行情数据（仅限管理员调用）。"""
+    storage.truncate_all()
+    return {"status": "ok", "message": "已清空所有行情数据"}
--- a/tushare/src/contracts.py
+++ b/tushare/src/contracts.py
@@ -66,6 +66,18 @@ ROLLOVER_RULES: dict[str, dict] = {
 }


+def normalize_ts_code(ts_code: str) -> str:
+    """把用户输入的短代码(如 FG2509)补全为带交易所后缀的完整代码(如 FG2509.ZCE)。"""
+    if "." in ts_code:
+        return ts_code
+    # 提取品种代码: 前两个字母
+    symbol = ts_code[:2]
+    if symbol not in ROLLOVER_RULES:
+        raise ValueError(f"未配置 {symbol} 的品种规则,无法自动补全交易所后缀")
+    exchange = ROLLOVER_RULES[symbol]["exchange"]
+    return f"{ts_code}.{exchange}"
+
+
 def active_contract(symbol: str, today: Optional[date] = None) -> str:
    """按主力轮换规则,返回当日 ts_code(含交易所后缀)。"""
    if symbol not in ROLLOVER_RULES:
--- a/tushare/src/fetcher.py
+++ b/tushare/src/fetcher.py
@@ -11,10 +11,19 @@ def _init_api():
    return ts.pro_api()


-def fetch_contract(ts_code: str, limit: int = 100) -> pd.DataFrame:
+def fetch_contract(
+    ts_code: str,
+    start_date: Optional[str] = None,
+    end_date: Optional[str] = None,
+) -> pd.DataFrame:
    """拉取指定期货合约的日线数据,返回按 trade_date 升序排列的 DataFrame。"""
    pro = _init_api()
-    df = pro.fut_daily(ts_code=ts_code)
+    kwargs: dict = {"ts_code": ts_code}
+    if start_date:
+        kwargs["start_date"] = start_date
+    if end_date:
+        kwargs["end_date"] = end_date
+    df = pro.fut_daily(**kwargs)

    if df.empty:
        raise RuntimeError(f"未返回 {ts_code} 的任何数据,可能合约代码错误或 token 积分不足")
@@ -25,6 +34,10 @@ def fetch_contract(ts_code: str, limit: int = 100) -> pd.DataFrame:
    ]
    df = df[[c for c in cols if c in df.columns]].copy()

+    # 确保 ts_code 列与查询时传入的完整代码一致（Tushare 返回的可能不带交易所后缀）
+    if "ts_code" in df.columns:
+        df["ts_code"] = ts_code
+
    numeric = ["open", "high", "low", "close", "vol", "amount", "oi", "oi_chg", "pre_close"]
    for c in numeric:
        if c in df.columns:
--- a/tushare/src/main.py
+++ b/tushare/src/main.py
@@ -1,5 +1,6 @@
 import argparse
 import sys
+from typing import Optional

 from . import contracts, fetcher, scorer, storage

@@ -37,15 +38,19 @@ def run(ts_code: str, trade_date: Optional[str] = None) -> int:
    print(f"\n信号: {result.signal}")
    print("=" * 65)

+    quadrant_names = {
+        "accumulation": "增仓上涨", "distribution": "增仓下跌",
+        "covering": "减仓上涨", "liquidation": "减仓下跌", "flat": "持仓持平",
+    }
    print("\n[短期动力] 近7日逐日打分:")
-    print("-" * 65)
+    print("-" * 80)
    for d in result.detail.short_details:
-        tag = "增仓" if d["oi_chg"] > 0 else "减仓"
-        if abs(d["oi_chg"] / d["oi"]) < 0.01:
-            tag = "持平"
-        price_dir = "涨" if d["close"] >= d["pre_close"] else "跌"
-        print(f"  {d['trade_date']}  {tag:>4} + {price_dir}  "
-              f"持仓{d['oi_chg']:>+8,.0f}  得分: {d['score']:>3}")
+        q = quadrant_names.get(d["quadrant"], d["quadrant"])
+        print(f"  {d['trade_date']}  {q}  "
+              f"涨跌{d['price_chg_pct']*100:>+.2f}%  "
+              f"OI变化{d['oi_chg_pct']*100:>+.2f}%  "
+              f"量比{d['vol_ratio']:.2f}  "
+              f"得分: {d['score']:>5.1f}")

    md = result.detail.medium_detail
    print(f"\n[中期趋势] 明细:")
@@ -53,19 +58,93 @@ def run(ts_code: str, trade_date: Optional[str] = None) -> int:
    print(f"  价格信号得分:   {md['price_signal']:.1f}")
    print(f"  增仓上涨天数:   {md['long_up_days']} 天")
    print(f"  增仓下跌天数:   {md['long_down_days']} 天")
-    print(f"  资金意愿得分:   {md['fund_signal']} 分")
+    print(f"  资金意愿得分:   {md['fund_signal']:.1f} 分")

    ld = result.detail.long_detail
    print(f"\n[长期结构] 明细:")
+    print(f"  OI趋势得分:     {ld['oi_score']:.1f} (权重 60%)")
+    print(f"  价格趋势得分:   {ld['price_score']:.1f} (权重 40%)")
+    print(f"  30日价格收益:   {ld['price_return_30d_pct']:+.2f}%")
+    print(f"  30日前收盘价:   {ld['price_before_30d']:.2f}")
    print(f"  近30日日均持仓: {ld['avg_oi']:,.0f}")
    print(f"  30日前持仓量:   {ld['oi_before']:,.0f}")
    print(f"  持仓变化幅度:   {ld['change_pct']:+.2f}%")

+    vd = result.detail.volatility
+    print(f"\n[波动率调整]")
+    print(f"  日波动率(30d std): {vd['daily_vol_pct']*100:.2f}%")
+    print(f"  ATR%:              {vd['atr_pct']*100:.2f}%")
+    vol_risk = vd.get("vol_risk", vd["daily_vol_pct"])
+    print(f"  综合波动风险:      {vol_risk*100:.2f}%")
+    print(f"  惩罚系数:          {vd['vol_penalty']:.3f}")
+
+    aw = result.detail.adaptive_weights
+    if aw:
+        print(f"\n[自适应权重]")
+        print(f"  趋势强度:          {aw['trend_strength']:.2f}")
+        print(f"  短期权重:          {aw['w_short']:.2%} (基准 40%)")
+        print(f"  中期权重:          {aw['w_medium']:.2%} (基准 35%)")
+        print(f"  长期权重:          {aw['w_long']:.2%} (基准 25%)")
+
+    if result.composite_delta is not None:
+        print(f"\n[分数动量]")
+        print(f"  日变化 (Δ1d):      {result.composite_delta:+.1f}")
+    if result.composite_delta_5d is not None:
+        print(f"  周变化 (Δ5d):      {result.composite_delta_5d:+.1f}")
+
    print(f"\n[OK] 数据已持久化到 PostgreSQL")

    return 0


+def run_range(ts_code: str, start_date: str, end_date: str) -> int:
+    from datetime import datetime, timedelta
+
+    storage.init_db()
+
+    print(f"[1/4] 拉取 {ts_code} 数据 ({start_date} ~ {end_date})...")
+    start_dt = datetime.strptime(start_date, "%Y%m%d")
+    fetch_start = (start_dt - timedelta(days=60)).strftime("%Y%m%d")
+    df = fetcher.fetch_contract(ts_code, start_date=fetch_start, end_date=end_date)
+    print(f"      返回 {len(df)} 行")
+
+    print(f"[2/4] 写入/更新 PostgreSQL...")
+    storage.save_candles(df)
+
+    print(f"[3/4] 批量计算打分...")
+    results, warnings = scorer.score_range(df, start_date, end_date)
+
+    print(f"[4/4] 保存打分结果...")
+    for r in results:
+        storage.save_score(r)
+
+    print("\n" + "=" * 65)
+    print(f"合约: {ts_code}")
+    print(f"区间: {start_date} ~ {end_date}")
+    print(f"成功打分: {len(results)} 条")
+    if warnings:
+        print(f"跳过: {len(warnings)} 条")
+        for w in warnings[:5]:
+            print(f"  - {w}")
+        if len(warnings) > 5:
+            print(f"  ... 还有 {len(warnings) - 5} 条")
+    print("=" * 65)
+
+    quadrant_names = {
+        "accumulation": "增仓上涨", "distribution": "增仓下跌",
+        "covering": "减仓上涨", "liquidation": "减仓下跌", "flat": "持仓持平",
+    }
+    print(f"\n{'日期':<12} {'收盘':>10} {'综合':>8} {'Δ1d':>6} {'Δ5d':>6} {'信号':<20}")
+    print("-" * 70)
+    for r in results:
+        d1 = f"{r.composite_delta:+.1f}" if r.composite_delta is not None else "  -"
+        d5 = f"{r.composite_delta_5d:+.1f}" if r.composite_delta_5d is not None else "  -"
+        print(f"{r.trade_date:<12} {r.close:>10.2f} {r.composite:>8.1f} {d1:>6} {d5:>6} {r.signal:<20}")
+
+    print(f"\n[OK] {len(results)} 条打分已持久化到 PostgreSQL")
+    return 0
+
+
 def main() -> int:
    parser = argparse.ArgumentParser(description="期货合约三层打分模型")
    parser.add_argument(
@@ -82,11 +161,26 @@ def main() -> int:
        "--date",
        help="指定打分日期,格式 YYYYMMDD,不传则对最新日期打分",
    )
+    parser.add_argument(
+        "--start-date",
+        dest="start_date",
+        help="区间打分开始日期,格式 YYYYMMDD(与 --end-date 同时使用时生效)",
+    )
+    parser.add_argument(
+        "--end-date",
+        dest="end_date",
+        help="区间打分结束日期,格式 YYYYMMDD(与 --start-date 同时使用时生效)",
+    )
    args = parser.parse_args()

    ts_code = args.ts_code or contracts.active_contract(args.symbol)
    if not args.ts_code:
        print(f"[AUTO] {args.symbol} 当月主力 -> {ts_code}")
+
+    if args.start_date and args.end_date:
+        print(f"[RANGE] 区间打分: {args.start_date} ~ {args.end_date}")
+        return run_range(ts_code, args.start_date, args.end_date)
+
    if args.date:
        print(f"[DATE] 指定打分日期: {args.date}")
    return run(ts_code, args.date)
--- a/tushare/src/models.py
+++ b/tushare/src/models.py
@@ -22,6 +22,8 @@ class ScoreDetail:
    short_details: list = field(default_factory=list)
    medium_detail: dict = field(default_factory=dict)
    long_detail: dict = field(default_factory=dict)
+    volatility: dict = field(default_factory=dict)
+    adaptive_weights: dict = field(default_factory=dict)


@dataclass
@@ -37,3 +39,6 @@ class ScoreResult:
    composite: float
    signal: str
    detail: ScoreDetail
+    vol_penalty: float = 1.0
+    composite_delta: Optional[float] = None       # 与前一日综合分差值
+    composite_delta_5d: Optional[float] = None    # 与5日前综合分差值
--- a/tushare/src/scorer.py
+++ b/tushare/src/scorer.py
@@ -1,50 +1,110 @@
+import math
 from typing import Optional

+import numpy as np
 import pandas as pd

 from .models import ScoreDetail, ScoreResult


-def _daily_short_score(row: pd.Series) -> int:
-    """单日短期动力打分。"""
+# ---------------------------------------------------------------------------
+# 短期动力 — 单日打分
+# ---------------------------------------------------------------------------
+
+def _daily_short_score(row: pd.Series, avg_vol_7d: float) -> dict:
+    """单日短期动力打分（连续值 + 方向性幅度加成 + 量能确认）。"""
    oi = float(row["oi"])
    oi_chg = float(row["oi_chg"])
    close = float(row["close"])
    pre_close = float(row["pre_close"])
+    vol = float(row.get("vol", 0))

-    oi_change_pct = abs(oi_chg / oi) if oi != 0 else 0
+    oi_chg_pct = oi_chg / oi if oi != 0 else 0.0
+    price_chg_pct = (close - pre_close) / pre_close if pre_close != 0 else 0.0
    price_up = close >= pre_close
-
-    if oi_change_pct < 0.01:
-        return 60 if price_up else 40
-
    oi_increasing = oi_chg > 0
-    if oi_increasing and price_up:
-        return 100
-    if oi_increasing and not price_up:
-        return 0
-    if not oi_increasing and price_up:
-        return 70
-    return 30

+    # ── 象限基础分 ──
+    if abs(oi_chg_pct) < 0.01:
+        base = 60.0 if price_up else 40.0
+        quadrant = "flat"
+    elif oi_increasing and price_up:
+        base = 75.0
+        quadrant = "accumulation"          # 增仓上涨
+    elif oi_increasing and not price_up:
+        base = 25.0
+        quadrant = "distribution"           # 增仓下跌
+    elif not oi_increasing and price_up:
+        base = 65.0
+        quadrant = "covering"               # 减仓上涨
+    else:
+        base = 20.0
+        quadrant = "liquidation"            # 减仓下跌
+
+    # ── 幅度加成（方向性）──
+    # OI 变化率封顶 5%，价格涨跌幅封顶 3%
+    oi_mag = min(1.0, abs(oi_chg_pct) / 0.05)
+    price_mag = min(1.0, abs(price_chg_pct) / 0.03)
+
+    if quadrant == "accumulation":
+        boost = (oi_mag + price_mag) / 2.0 * 20.0      # 看多，加成推高分数
+    elif quadrant == "liquidation":
+        boost = -(oi_mag + price_mag) / 2.0 * 20.0     # 看空，扣分强化信号
+    elif quadrant == "flat":
+        boost = price_mag * 10.0 if price_up else -(price_mag * 10.0)
+    elif quadrant == "distribution":
+        boost = -price_mag * 10.0                       # 增仓下跌：价格幅度扣分
+    else:  # covering
+        boost = price_mag * 10.0                        # 减仓上涨：价格幅度加分
+
+    # ── 量能确认（ratio=1.0 时为中性因子 1.0）──
+    vol_ratio = vol / avg_vol_7d if avg_vol_7d > 0 else 1.0
+    vol_factor = 0.8 + 0.2 * min(vol_ratio, 2.0)       # 范围 [0.8, 1.2]，中性 = 1.0
+
+    score = max(0.0, min(100.0, (base + boost) * vol_factor))
+
+    return {
+        "trade_date": str(row["trade_date"]),
+        "close": close,
+        "pre_close": pre_close,
+        "oi": oi,
+        "oi_chg": oi_chg,
+        "oi_chg_pct": round(float(oi_chg_pct), 4),
+        "price_chg_pct": round(float(price_chg_pct), 4),
+        "vol": float(vol),
+        "vol_ratio": round(float(vol_ratio), 2),
+        "quadrant": quadrant,
+        "score": round(float(score), 1),
+    }
+
+
+# ---------------------------------------------------------------------------
+# 短期动力 — 7 日窗口，指数加权平均
+# ---------------------------------------------------------------------------

 def calc_short_term(df: pd.DataFrame, window: int = 7) -> tuple[float, list]:
+    """近 window 日逐日打分，指数加权平均（越近权重越高）。"""
    recent = df.iloc[-window:].copy()
+    avg_vol_7d = float(recent["vol"].mean()) if "vol" in recent.columns else 0.0
+
    scores = []
    details = []
    for _, row in recent.iterrows():
-        score = _daily_short_score(row)
-        scores.append(score)
-        details.append({
-            "trade_date": str(row["trade_date"]),
-            "close": float(row["close"]),
-            "pre_close": float(row["pre_close"]),
-            "oi": float(row["oi"]),
-            "oi_chg": float(row["oi_chg"]),
-            "score": score,
-        })
-    return sum(scores) / len(scores), details
+        detail = _daily_short_score(row, avg_vol_7d)
+        scores.append(detail["score"])
+        details.append(detail)

+    # 指数加权：权重从 exp(0)=1 递增到 exp(1)≈2.718
+    weights = np.exp(np.linspace(0, 1, window))
+    weights = weights / weights.sum()
+    weighted_avg = float(np.average(scores, weights=weights))
+
+    return weighted_avg, details
+
+
+# ---------------------------------------------------------------------------
+# 中期趋势 — 15 日窗口，四象限资金意愿
+# ---------------------------------------------------------------------------

 def calc_medium_term(df: pd.DataFrame, window: int = 15) -> tuple[float, dict]:
    if len(df) < window + 1:
@@ -54,60 +114,93 @@ def calc_medium_term(df: pd.DataFrame, window: int = 15) -> tuple[float, dict]:
    close_now = float(df.iloc[-1]["close"])
    close_before = float(df.iloc[-window - 1]["close"])

+    # ── 价格信号 ──
    price_return = (close_now - close_before) / close_before if close_before != 0 else 0
    price_score = max(0.0, min(100.0, 50.0 + price_return * 500))

-    long_up = 0
-    long_down = 0
-    for _, row in recent.iterrows():
-        if row["oi_chg"] > 0:
-            if row["close"] >= row["pre_close"]:
-                long_up += 1
-            else:
-                long_down += 1
+    # ── 资金意愿（四象限全计入）──
+    accumulation = 0   # 增仓上涨
+    distribution = 0    # 增仓下跌
+    covering = 0        # 减仓上涨
+    liquidation = 0     # 减仓下跌
+
+    for _, row in recent.iterrows():
+        oi_inc = row["oi_chg"] > 0
+        price_up = row["close"] >= row["pre_close"]
+        if oi_inc and price_up:
+            accumulation += 1
+        elif oi_inc and not price_up:
+            distribution += 1
+        elif not oi_inc and price_up:
+            covering += 1
+        else:
+            liquidation += 1
+
+    # 增仓驱动权重 1.0，减仓驱动权重 0.5（持续性较差）
+    fund_score = 50.0 + (
+        accumulation * 1.0 - distribution * 1.0
+        + covering * 0.5 - liquidation * 0.5
+    ) / window * 50.0
+    fund_score = max(0.0, min(100.0, fund_score))

-    fund_score = 80 if long_up > long_down else (20 if long_up < long_down else 50)
    score = price_score * 0.6 + fund_score * 0.4

    detail = {
        "price_return_pct": round(price_return * 100, 2),
        "price_signal": round(price_score, 1),
-        "long_up_days": long_up,
-        "long_down_days": long_down,
-        "fund_signal": fund_score,
+        "accumulation_days": accumulation,
+        "distribution_days": distribution,
+        "covering_days": covering,
+        "liquidation_days": liquidation,
+        "fund_signal": round(fund_score, 1),
+        "window": window,
    }
    return score, detail


+# ---------------------------------------------------------------------------
+# 长期结构 — 30 日窗口，端点 OI 比较
+# ---------------------------------------------------------------------------
+
 def calc_long_term(df: pd.DataFrame, window: int = 30) -> tuple[float, dict]:
    if len(df) < window + 1:
        raise ValueError(f"数据不足,需要至少 {window + 1} 行")

-    recent_oi = df.iloc[-window:]["oi"]
-    avg_oi = recent_oi.mean()
+    # ── OI 趋势分（端点比较，消除均值滞后）──
+    oi_now = float(df.iloc[-1]["oi"])
    oi_before = float(df.iloc[-window - 1]["oi"])
+    oi_change_pct = (oi_now - oi_before) / oi_before if oi_before != 0 else 0.0
+    oi_score = max(0.0, min(100.0, 50.0 + oi_change_pct * 250))

-    change_pct = (avg_oi - oi_before) / oi_before if oi_before != 0 else 0
+    # ── 价格趋势分 ──
+    close_now = float(df.iloc[-1]["close"])
+    price_before = float(df.iloc[-window - 1]["close"])
+    price_return_30d = (close_now - price_before) / price_before if price_before != 0 else 0.0
+    price_score = max(0.0, min(100.0, 50.0 + price_return_30d * 200))

-    if change_pct > 0.10:
-        score = 90
-    elif change_pct > 0.05:
-        score = 70
-    elif change_pct > -0.05:
-        score = 50
-    elif change_pct > -0.10:
-        score = 30
-    else:
-        score = 10
+    score = oi_score * 0.6 + price_score * 0.4
+
+    # 额外统计近 30 日 OI 均值供参考
+    recent_oi = df.iloc[-window:]["oi"]

    detail = {
-        "avg_oi": round(float(avg_oi), 0),
+        "oi_now": round(oi_now, 0),
        "oi_before": round(oi_before, 0),
-        "change_pct": round(change_pct * 100, 2),
+        "oi_change_pct": round(oi_change_pct * 100, 2),
+        "oi_score": round(oi_score, 1),
+        "price_score": round(price_score, 1),
+        "price_return_30d_pct": round(price_return_30d * 100, 2),
+        "price_before_30d": round(price_before, 2),
+        "avg_oi_30d": round(float(recent_oi.mean()), 0),
+        "window": window,
    }
    return score, detail


+# ---------------------------------------------------------------------------
+# 信号解读
+# ---------------------------------------------------------------------------
+
 def _interpret(composite: float) -> str:
    if composite >= 80:
        return "强烈看多区域 — 价格与资金共振,趋势多头的温床"
@@ -118,6 +211,10 @@ def _interpret(composite: float) -> str:
    return "强烈看空区域 — 资金主动且持续地打压价格"


+# ---------------------------------------------------------------------------
+# 主打分函数
+# ---------------------------------------------------------------------------
+
 def score_daily(df: pd.DataFrame, trade_date: Optional[str] = None) -> ScoreResult:
    """对 DataFrame 中指定日期或最新一条记录打分。"""
    if len(df) < 31:
@@ -135,11 +232,59 @@ def score_daily(df: pd.DataFrame, trade_date: Optional[str] = None) -> ScoreResu

    latest = df.iloc[-1]

+    # ── 三层原始分 ──
    short, short_details = calc_short_term(df, 7)
    medium, medium_detail = calc_medium_term(df, 15)
    long_, long_detail = calc_long_term(df, 30)

-    composite = short * 0.4 + medium * 0.35 + long_ * 0.25
+    # ── 波动率（日收益率标准差 + ATR%）──
+    recent_30 = df.iloc[-30:].copy()
+    recent_30["ret"] = recent_30["close"].pct_change()
+    daily_vol = float(recent_30["ret"].std())
+
+    recent_30["tr"] = recent_30.apply(
+        lambda r: max(
+            r["high"] - r["low"],
+            abs(r["high"] - r["pre_close"]),
+            abs(r["low"] - r["pre_close"]),
+        ),
+        axis=1,
+    )
+    atr = float(recent_30["tr"].mean())
+    avg_close_30 = float(recent_30["close"].mean())
+    atr_pct = (atr / avg_close_30) if avg_close_30 else 0.0
+
+    # 综合波动率风险度量：日收益标准差 70% + ATR% 30%
+    vol_risk = daily_vol * 0.7 + atr_pct * 0.3
+    vol_ref = 0.015
+    if vol_risk <= vol_ref:
+        vol_penalty = 1.0
+    else:
+        vol_penalty = max(0.85, 1.0 - (vol_risk - vol_ref) * 10)
+
+    # ── 自适应权重（趋势越强，长期权重越高）──
+    price_return_30d = (
+        (float(df.iloc[-1]["close"]) - float(df.iloc[-31]["close"]))
+        / float(df.iloc[-31]["close"])
+        if df.iloc[-31]["close"] != 0
+        else 0.0
+    )
+    # 趋势效率 = |30日收益率| / 日波动率，比率高 = 方向明确
+    trend_strength = abs(price_return_30d) / max(daily_vol, 0.005)
+    trend_factor = min(trend_strength / 3.0, 1.0)   # 归一化到 [0, 1]
+
+    w_short_base = 0.40
+    w_medium_base = 0.35
+    w_long_base = 0.25
+
+    shift = trend_factor * 0.10                       # 最多转移 10% 权重
+    w_short = w_short_base - shift
+    w_medium = w_medium_base
+    w_long = w_long_base + shift
+
+    # ── 综合分数 ──
+    composite_raw = short * w_short + medium * w_medium + long_ * w_long
+    composite = round(composite_raw * vol_penalty, 1)
    signal = _interpret(composite)

    return ScoreResult(
@@ -153,9 +298,94 @@ def score_daily(df: pd.DataFrame, trade_date: Optional[str] = None) -> ScoreResu
        long_term=round(long_, 1),
        composite=round(composite, 1),
        signal=signal,
+        vol_penalty=round(float(vol_penalty), 4),
        detail=ScoreDetail(
            short_details=short_details,
            medium_detail=medium_detail,
            long_detail=long_detail,
+            volatility={
+                "daily_vol_pct": round(float(daily_vol), 4),
+                "atr_pct": round(float(atr_pct), 4),
+                "vol_risk": round(float(vol_risk), 4),
+                "vol_penalty": round(float(vol_penalty), 4),
+            },
+            adaptive_weights={
+                "trend_strength": round(float(trend_strength), 2),
+                "trend_factor": round(float(trend_factor), 2),
+                "w_short": round(float(w_short), 4),
+                "w_medium": round(float(w_medium), 4),
+                "w_long": round(float(w_long), 4),
+            },
        ),
    )
+
+
+# ---------------------------------------------------------------------------
+# 区间 / 全量打分
+# ---------------------------------------------------------------------------
+
+def score_range(
+    df: pd.DataFrame, start_date: str, end_date: str
+) -> tuple[list[ScoreResult], list[str]]:
+    """对日期区间内的每一天分别打分,返回 (结果列表, 警告列表)。"""
+    if len(df) < 31:
+        raise ValueError(f"数据量不足(仅 {len(df)} 行),需要至少 31 行")
+
+    results: list[ScoreResult] = []
+    warnings: list[str] = []
+
+    target_dates = df[
+        (df["trade_date"].astype(str) >= str(start_date))
+        & (df["trade_date"].astype(str) <= str(end_date))
+    ]["trade_date"].astype(str).tolist()
+
+    for td in target_dates:
+        try:
+            result = score_daily(df, td)
+            results.append(result)
+        except ValueError as e:
+            warnings.append(str(e))
+
+    _fill_deltas(results)
+    return results, warnings
+
+
+def score_all(df: pd.DataFrame) -> tuple[list[ScoreResult], list[str], int, int]:
+    """对 DataFrame 中所有有足够前置数据的交易日逐日打分。
+
+    Returns:
+        (results, warnings, total_days, scored_count)
+    """
+    if len(df) < 31:
+        raise ValueError(f"数据量不足(仅 {len(df)} 行),需要至少 31 行")
+
+    results: list[ScoreResult] = []
+    warnings: list[str] = []
+
+    for idx in range(30, len(df)):
+        subset = df.iloc[: idx + 1].copy()
+        trade_date = str(df.iloc[idx]["trade_date"])
+        try:
+            result = score_daily(subset)
+            results.append(result)
+        except ValueError as e:
+            warnings.append(f"{trade_date}: {e}")
+
+    _fill_deltas(results)
+
+    total_days = len(df) - 30
+    scored_count = len(results)
+    return results, warnings, total_days, scored_count
+
+
+# ---------------------------------------------------------------------------
+# 辅助：填充分数动量
+# ---------------------------------------------------------------------------
+
+def _fill_deltas(results: list[ScoreResult]):
+    """为结果列表中的每个 ScoreResult 填充 composite_delta 和 composite_delta_5d。"""
+    for i, r in enumerate(results):
+        if i >= 1 and results[i - 1].composite is not None:
+            r.composite_delta = round(r.composite - results[i - 1].composite, 1)
+        if i >= 5 and results[i - 5].composite is not None:
+            r.composite_delta_5d = round(r.composite - results[i - 5].composite, 1)
--- a/tushare/src/storage.py
+++ b/tushare/src/storage.py
@@ -68,6 +68,11 @@ def save_candles(df: pd.DataFrame, db_url: str = DEFAULT_DB_URL):
        df = df.copy()
        df = df.where(pd.notna(df), None)
        records = df.to_dict(orient="records")
+        # pandas float 列的 None 会被转为 NaN，需手动清理后再存入数据库
+        for record in records:
+            for key, val in record.items():
+                if isinstance(val, float) and val != val:  # NaN != NaN
+                    record[key] = None
        with conn.cursor() as cur:
            cur.executemany(
                """
@@ -98,6 +103,19 @@ def save_score(score: ScoreResult, db_url: str = DEFAULT_DB_URL):
    conn = _get_conn(db_url)
    try:
        with conn.cursor() as cur:
+            detail_payload = {
+                "short_details": score.detail.short_details,
+                "medium_detail": score.detail.medium_detail,
+                "long_detail": score.detail.long_detail,
+                "volatility": score.detail.volatility,
+                "adaptive_weights": score.detail.adaptive_weights,
+                "vol_penalty": score.vol_penalty,
+            }
+            if score.composite_delta is not None:
+                detail_payload["composite_delta"] = score.composite_delta
+            if score.composite_delta_5d is not None:
+                detail_payload["composite_delta_5d"] = score.composite_delta_5d
+
            cur.execute(
                """
                INSERT INTO scores
@@ -127,11 +145,7 @@ def save_score(score: ScoreResult, db_url: str = DEFAULT_DB_URL):
                    score.long_term,
                    score.composite,
                    score.signal,
-                    json.dumps({
-                        "short_details": score.detail.short_details,
-                        "medium_detail": score.detail.medium_detail,
-                        "long_detail": score.detail.long_detail,
-                    }, ensure_ascii=False, default=str),
+                    json.dumps(detail_payload, ensure_ascii=False, default=str),
                ),
            )
        conn.commit()
@@ -152,3 +166,14 @@ def get_latest_score(ts_code: str, db_url: str = DEFAULT_DB_URL) -> Optional[dic
            return dict(row) if row else None
    finally:
        conn.close()
+
+
+def truncate_all(db_url: str = DEFAULT_DB_URL):
+    """清空所有行情数据（candles + scores），保留用户表。"""
+    conn = _get_conn(db_url)
+    try:
+        with conn.cursor() as cur:
+            cur.execute("TRUNCATE TABLE candles, scores")
+        conn.commit()
+    finally:
+        conn.close()
--- a/web/backend/Dockerfile
+++ b/web/backend/Dockerfile
@@ -5,7 +5,8 @@ WORKDIR /ui

 # 优先拷贝 package.json 命中 layer cache;无 lock 时退回 npm install
 COPY frontend/package*.json ./
-RUN if [ -f package-lock.json ]; then npm ci; else npm install; fi
+RUN npm config set registry https://registry.npmmirror.com && \
+    if [ -f package-lock.json ]; then npm ci; else npm install; fi

 COPY frontend ./
 RUN npm run build
@@ -21,7 +22,7 @@ WORKDIR /src
 COPY backend ./
 COPY --from=ui /ui/dist ./dist

-ENV CGO_ENABLED=0 GOOS=linux
+ENV CGO_ENABLED=0 GOOS=linux GOPROXY=https://goproxy.cn,direct

 RUN go mod tidy && \
    go build -trimpath -ldflags="-s -w" -o /out/web ./
--- a/web/backend/internal/auth/bootstrap.go
+++ b/web/backend/internal/auth/bootstrap.go
@@ -6,6 +6,11 @@ import (
 	"trade/web/internal/store"
 )

+// BootstrapLLMConfig 初始化 llm_config 表。
+func BootstrapLLMConfig(s *store.FuturesStore) error {
+	return s.EnsureLLMConfigTable()
+}
+
 // Bootstrap 在 auth.db 没有任何 admin 时,写入默认管理员 admin/admin;
 // 并强制首次登录后改密码。已存在 admin 时静默跳过。
 func Bootstrap(s *store.AuthStore) error {
--- a/web/backend/internal/config/config.go
+++ b/web/backend/internal/config/config.go
@@ -9,6 +9,9 @@ type Config struct {
 	ListenAddr    string
 	DatabaseURL   string
 	TushareAPIURL string
+	LLMBaseURL    string
+	LLMAPIKey     string
+	LLMModel      string
 }

 func Load() (*Config, error) {
@@ -16,6 +19,9 @@ func Load() (*Config, error) {
 		ListenAddr:    getenv("LISTEN_ADDR", ":8080"),
 		DatabaseURL:   os.Getenv("DATABASE_URL"),
 		TushareAPIURL: getenv("TUSHARE_API_URL", "http://tushare:8000"),
+		LLMBaseURL:    getenv("LLM_BASE_URL", "https://api.deepseek.com/v1"),
+		LLMAPIKey:     os.Getenv("LLM_API_KEY"),
+		LLMModel:      getenv("LLM_MODEL", "deepseek-chat"),
 	}
 	if cfg.DatabaseURL == "" {
 		return nil, fmt.Errorf("DATABASE_URL 环境变量未设置")
--- a/web/backend/internal/handlers/ai.go
+++ b/web/backend/internal/handlers/ai.go
@@ -0,0 +1,307 @@
+package handlers
+
+import (
+	"bufio"
+	"bytes"
+	"encoding/json"
+	"fmt"
+	"io"
+	"log"
+	"net/http"
+	"strings"
+
+	"trade/web/internal/store"
+)
+
+// AIConfig LLM 调用配置。
+type AIConfig struct {
+	BaseURL string
+	APIKey  string
+	Model   string
+}
+
+// resolveLLMConfig 返回实际使用的 LLM 配置：DB 优先，环境变量作 fallback。
+func (d *Deps) resolveLLMConfig() *AIConfig {
+	cfg := &AIConfig{
+		BaseURL: "https://api.deepseek.com/v1",
+		Model:   "deepseek-chat",
+	}
+
+	// 尝试从 DB 读取
+	if dbCfg, err := d.Futures.GetLLMConfig(); err == nil && dbCfg != nil && dbCfg.APIKey != "" {
+		cfg.APIKey = dbCfg.APIKey
+		if dbCfg.BaseURL != "" {
+			cfg.BaseURL = dbCfg.BaseURL
+		}
+		if dbCfg.Model != "" {
+			cfg.Model = dbCfg.Model
+		}
+		return cfg
+	}
+
+	// fallback 到环境变量
+	if d.AIConfig != nil {
+		if d.AIConfig.APIKey != "" {
+			cfg.APIKey = d.AIConfig.APIKey
+		}
+		if d.AIConfig.BaseURL != "" {
+			cfg.BaseURL = d.AIConfig.BaseURL
+		}
+		if d.AIConfig.Model != "" {
+			cfg.Model = d.AIConfig.Model
+		}
+	}
+	return cfg
+}
+
+// Analyze 接收 ts_code + trade_date，查库拼 prompt，调 LLM 并以 SSE 流式返回。
+func (d *Deps) Analyze(w http.ResponseWriter, r *http.Request) {
+	llmCfg := d.resolveLLMConfig()
+	if llmCfg.APIKey == "" {
+		writeErr(w, http.StatusServiceUnavailable, "LLM API Key 未配置，请在管理后台设置")
+		return
+	}
+
+	q := r.URL.Query()
+	tsCode := q.Get("ts_code")
+	tradeDate := q.Get("trade_date")
+	if tsCode == "" || tradeDate == "" {
+		writeErr(w, http.StatusBadRequest, "缺少 ts_code 或 trade_date")
+		return
+	}
+
+	ctx, err := d.Futures.GetAnalysisContext(tsCode, tradeDate)
+	if err != nil {
+		writeErr(w, http.StatusNotFound, err.Error())
+		return
+	}
+
+	prompt := buildPrompt(ctx)
+
+	// SSE
+	flusher, ok := w.(http.Flusher)
+	if !ok {
+		writeErr(w, http.StatusInternalServerError, "不支持 SSE")
+		return
+	}
+	w.Header().Set("Content-Type", "text/event-stream")
+	w.Header().Set("Cache-Control", "no-cache")
+	w.Header().Set("Connection", "keep-alive")
+
+	if err := streamLLM(llmCfg, prompt, w, flusher); err != nil {
+		log.Printf("[ai] stream error: %v", err)
+		sendSSE(w, flusher, "error", err.Error())
+	}
+	sendSSE(w, flusher, "done", "")
+}
+
+func sendSSE(w io.Writer, flusher http.Flusher, event, data string) {
+	if event != "" {
+		fmt.Fprintf(w, "event: %s\n", event)
+	}
+	for _, line := range strings.Split(data, "\n") {
+		fmt.Fprintf(w, "data: %s\n", line)
+	}
+	fmt.Fprint(w, "\n")
+	flusher.Flush()
+}
+
+// streamLLM 调用 LLM chat/completions，逐 token 推送 SSE。
+func streamLLM(cfg *AIConfig, prompt []map[string]string, w io.Writer, flusher http.Flusher) error {
+	body := map[string]any{
+		"model":    cfg.Model,
+		"messages": prompt,
+		"stream":   true,
+	}
+	payload, _ := json.Marshal(body)
+
+	req, err := http.NewRequest("POST", strings.TrimRight(cfg.BaseURL, "/")+"/chat/completions", bytes.NewReader(payload))
+	if err != nil {
+		return err
+	}
+	req.Header.Set("Content-Type", "application/json")
+	req.Header.Set("Authorization", "Bearer "+cfg.APIKey)
+
+	resp, err := http.DefaultClient.Do(req)
+	if err != nil {
+		return fmt.Errorf("llm request: %w", err)
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != 200 {
+		b, _ := io.ReadAll(io.LimitReader(resp.Body, 1024))
+		return fmt.Errorf("llm status %d: %s", resp.StatusCode, string(b))
+	}
+
+	scanner := bufio.NewScanner(resp.Body)
+	for scanner.Scan() {
+		line := strings.TrimSpace(scanner.Text())
+		if line == "" || !strings.HasPrefix(line, "data: ") {
+			continue
+		}
+		data := strings.TrimPrefix(line, "data: ")
+		if data == "[DONE]" {
+			return nil
+		}
+		var chunk struct {
+			Choices []struct {
+				Delta struct {
+					Content string `json:"content"`
+				} `json:"delta"`
+			} `json:"choices"`
+		}
+		if err := json.Unmarshal([]byte(data), &chunk); err != nil {
+			continue // 忽略解析失败的行
+		}
+		for _, c := range chunk.Choices {
+			if c.Delta.Content != "" {
+				sendSSE(w, flusher, "token", c.Delta.Content)
+			}
+		}
+	}
+	return scanner.Err()
+}
+
+// buildPrompt 用 AnalysisContext 构建 system + user 消息。
+func buildPrompt(ctx *store.AnalysisContext) []map[string]string {
+	s := ctx.Score
+
+	// 解析 detail_json 中的关键字段
+	var detail struct {
+		ShortDetails []map[string]any `json:"short_details"`
+		MediumDetail map[string]any   `json:"medium_detail"`
+		LongDetail   map[string]any   `json:"long_detail"`
+		Volatility   map[string]any   `json:"volatility"`
+		AdaptiveW    map[string]any   `json:"adaptive_weights"`
+		VolPenalty   float64          `json:"vol_penalty"`
+		Delta1D      *float64         `json:"composite_delta"`
+		Delta5D      *float64         `json:"composite_delta_5d"`
+	}
+	if s.Detail != nil {
+		_ = json.Unmarshal(s.Detail, &detail)
+	}
+
+	var sb strings.Builder
+	sb.WriteString("你是一位资深期货技术分析师，擅长从量化打分系统中解读市场信号。\n")
+
+	// 综合
+	sb.WriteString(fmt.Sprintf("\n## 合约 %s  %s\n", s.TsCode, s.TradeDate))
+	sb.WriteString(fmt.Sprintf("- 收盘 %.2f  持仓 %.0f (日变动 %+.0f)\n", s.Close, s.OI, s.OIChg))
+	sb.WriteString(fmt.Sprintf("- 综合分 **%.1f** / 100\n", s.Composite))
+	sb.WriteString(fmt.Sprintf("- 分层: 短期 %.1f  中期 %.1f  长期 %.1f\n", s.ShortTerm, s.MediumTerm, s.LongTerm))
+	sb.WriteString(fmt.Sprintf("- 信号: %s\n", s.Signal))
+
+	// 波动率
+	if v, ok := detail.Volatility["vol_penalty"]; ok {
+		dp := 0.0
+		if vv, ok := v.(float64); ok {
+			dp = vv
+		}
+		risk := 0.0
+		if vr, ok := detail.Volatility["vol_risk"]; ok {
+			if vv, ok := vr.(float64); ok {
+				risk = vv
+			}
+		}
+		sb.WriteString(fmt.Sprintf("- 波动率惩罚系数: %.3f (综合风险 %.2f%%)\n", dp, risk*100))
+	}
+
+	// 自适应权重
+	if aw, ok := detail.AdaptiveW["trend_strength"]; ok {
+		sb.WriteString(fmt.Sprintf("- 趋势强度: %.2f → 权重 短期%.0f%%/中期%.0f%%/长期%.0f%%\n",
+			aw, valPct(detail.AdaptiveW, "w_short"), valPct(detail.AdaptiveW, "w_medium"), valPct(detail.AdaptiveW, "w_long")))
+	}
+
+	// 分数动量
+	if detail.Delta1D != nil {
+		sb.WriteString(fmt.Sprintf("- 分数动量: Δ1d %+.1f", *detail.Delta1D))
+	}
+	if detail.Delta5D != nil {
+		sb.WriteString(fmt.Sprintf("  Δ5d %+.1f", *detail.Delta5D))
+	}
+	if detail.Delta1D != nil || detail.Delta5D != nil {
+		sb.WriteString("\n")
+	}
+
+	// 短期细节
+	sb.WriteString("\n## 短期动力 (近7日逐日)\n")
+	sb.WriteString("| 日期 | 象限 | 涨跌% | OI变化% | 得分 |\n")
+	sb.WriteString("|------|------|-------|---------|------|\n")
+	for _, d := range detail.ShortDetails {
+		q := fmt.Sprint(d["quadrant"])
+		qcn := map[string]string{
+			"accumulation": "增仓涨", "distribution": "增仓跌",
+			"covering": "减仓涨", "liquidation": "减仓跌", "flat": "持平",
+		}[q]
+		if qcn == "" {
+			qcn = q
+		}
+		sb.WriteString(fmt.Sprintf("| %s | %s | %+.2f%% | %+.2f%% | %.1f |\n",
+			d["trade_date"], qcn, floatVal(d, "price_chg_pct")*100, floatVal(d, "oi_chg_pct")*100, floatVal(d, "score")))
+	}
+
+	// 中期细节
+	md := detail.MediumDetail
+	sb.WriteString("\n## 中期趋势 (15日)\n")
+	sb.WriteString(fmt.Sprintf("- 价格信号: %.1f (收益率 %+.2f%%)\n", floatVal(md, "price_signal"), floatVal(md, "price_return_pct")))
+	sb.WriteString(fmt.Sprintf("- 资金意愿: %.1f\n", floatVal(md, "fund_signal")))
+	a, d_, c, l := intVal(md, "accumulation_days"), intVal(md, "distribution_days"), intVal(md, "covering_days"), intVal(md, "liquidation_days")
+	sb.WriteString(fmt.Sprintf("- 象限分布: 增仓涨 %d天 / 增仓跌 %d天 / 减仓涨 %d天 / 减仓跌 %d天\n", a, d_, c, l))
+
+	// 长期细节
+	ld := detail.LongDetail
+	sb.WriteString("\n## 长期结构 (30日)\n")
+	sb.WriteString(fmt.Sprintf("- OI 趋势分: %.1f (端点变化 %+.2f%%)\n", floatVal(ld, "oi_score"), floatVal(ld, "oi_change_pct")))
+	sb.WriteString(fmt.Sprintf("- 价格趋势分: %.1f (30日收益 %+.2f%%)\n", floatVal(ld, "price_score"), floatVal(ld, "price_return_30d_pct")))
+
+	// 近 5 日分数趋势
+	if len(ctx.RecentScores) > 0 {
+		sb.WriteString("\n## 近5日分数趋势\n")
+		for i, rs := range ctx.RecentScores {
+			if i >= 5 {
+				break
+			}
+			sb.WriteString(fmt.Sprintf("- %s  综合 %.1f\n", rs.TradeDate, rs.Composite))
+		}
+	}
+
+	// 近30日K线数据（供支撑阻力分析）
+	if len(ctx.Candles) > 0 {
+		start := 0
+		if len(ctx.Candles) > 30 {
+			start = len(ctx.Candles) - 30
+		}
+		sb.WriteString("\n## 近30日K线（开/高/低/收）\n")
+		sb.WriteString("| 日期 | 开盘 | 最高 | 最低 | 收盘 |\n")
+		sb.WriteString("|------|------|------|------|------|\n")
+		for _, c := range ctx.Candles[start:] {
+			sb.WriteString(fmt.Sprintf("| %s | %.1f | %.1f | %.1f | %.1f |\n",
+				c.TradeDate, c.Open, c.High, c.Low, c.Close))
+		}
+	}
+
+	sb.WriteString("\n请从以下4个角度简要分析（使用中文）：\n")
+	sb.WriteString("1. 当前多空格局（2-3句话）\n")
+	sb.WriteString("2. 资金行为特征（2-3句话）\n")
+	sb.WriteString("3. 关键风险点（2-3句话）\n")
+	sb.WriteString("4. 支撑与阻力（明确指出最近的关键支撑位和阻力位，基于近30日高低点和均线位置，给出具体价位和依据）\n")
+
+	return []map[string]string{
+		{"role": "user", "content": sb.String()},
+	}
+}
+
+func floatVal(m map[string]any, key string) float64 {
+	v, _ := m[key].(float64)
+	return v
+}
+
+func intVal(m map[string]any, key string) int {
+	v, _ := m[key].(float64)
+	return int(v)
+}
+
+func valPct(m map[string]any, key string) float64 {
+	v, _ := m[key].(float64)
+	return v * 100
+}
--- a/web/backend/internal/handlers/daily_direction.go
+++ b/web/backend/internal/handlers/daily_direction.go
@@ -0,0 +1,409 @@
+package handlers
+
+import (
+	"bytes"
+	"encoding/json"
+	"fmt"
+	"io"
+	"log"
+	"net/http"
+	"strconv"
+	"strings"
+	"time"
+
+	"trade/web/internal/store"
+)
+
+// 所有已配置品种（与 tushare/src/contracts.py 保持一致）。
+var allSymbols = []string{"FG", "SA", "RB", "MA", "CF", "M"}
+
+type ddRunRequest struct {
+	TradeDate string   `json:"trade_date,omitempty"` // YYYYMMDD, 默认今天
+	Symbols   []string `json:"symbols,omitempty"`     // 默认全部
+}
+
+type ddRunResponse struct {
+	TradeDate string             `json:"trade_date"`
+	Results   []ddSymbolResult   `json:"results"`
+	Errors    []ddSymbolResult   `json:"errors,omitempty"`
+}
+
+type ddSymbolResult struct {
+	Symbol    string  `json:"symbol"`
+	Direction string  `json:"direction"`
+	Confidence float64 `json:"confidence"`
+	Error     string  `json:"error,omitempty"`
+}
+
+// DailyDirectionRun 对多个品种批量执行 AI 方向分析。
+func (d *Deps) DailyDirectionRun(w http.ResponseWriter, r *http.Request) {
+	var req ddRunRequest
+	if r.Body != nil {
+		_ = json.NewDecoder(r.Body).Decode(&req)
+	}
+	if req.TradeDate == "" {
+		req.TradeDate = time.Now().Format("20060102")
+	}
+	if len(req.Symbols) == 0 {
+		req.Symbols = allSymbols
+	}
+
+	llmCfg := d.resolveLLMConfig()
+	if llmCfg.APIKey == "" {
+		writeErr(w, http.StatusServiceUnavailable, "LLM API Key 未配置，请在管理后台设置")
+		return
+	}
+
+	resp := ddRunResponse{TradeDate: req.TradeDate}
+
+	for _, sym := range req.Symbols {
+		result, err := d.analyzeOneDirection(llmCfg, sym, req.TradeDate)
+		if err != nil {
+			resp.Errors = append(resp.Errors, ddSymbolResult{Symbol: sym, Error: err.Error()})
+			continue
+		}
+		resp.Results = append(resp.Results, *result)
+	}
+
+	writeJSON(w, http.StatusOK, resp)
+}
+
+// analyzeOneDirection 对单个品种做方向分析并持久化。
+func (d *Deps) analyzeOneDirection(llmCfg *AIConfig, symbol, tradeDate string) (*ddSymbolResult, error) {
+	// 1. 找到活跃合约
+	tsCode, err := d.Futures.GetActiveTsCode(symbol, tradeDate)
+	if err != nil {
+		return nil, fmt.Errorf("查找活跃合约: %w", err)
+	}
+
+	// 2. 拉取分析上下文
+	ctx, err := d.Futures.GetAnalysisContext(tsCode, tradeDate)
+	if err != nil {
+		return nil, fmt.Errorf("获取分析数据: %w", err)
+	}
+
+	// 3. 构建方向分析 prompt
+	prompt := buildDirectionPrompt(ctx, symbol)
+	promptSnapshot := prompt[len(prompt)-1]["content"]
+
+	// 4. 调 LLM（非流式）
+	rawJSON, err := callLLM(llmCfg, prompt)
+	if err != nil {
+		return nil, fmt.Errorf("LLM 调用失败: %w", err)
+	}
+
+	// 5. 解析 JSON
+	parsed, err := parseDirectionJSON(rawJSON)
+	if err != nil {
+		log.Printf("[daily-direction] %s JSON parse failed, raw: %s", symbol, rawJSON)
+		return nil, fmt.Errorf("AI 返回格式异常: %w", err)
+	}
+
+	// 6. 计算 target_date（简化：+1天，周五 +3天）
+	targetDate := nextTradeDate(tradeDate)
+
+	// 7. 持久化
+	supportJSON, _ := json.Marshal(parsed.Support)
+	resistJSON, _ := json.Marshal(parsed.Resistance)
+
+	dd := &store.DailyDirection{
+		Symbol:         symbol,
+		TradeDate:      tradeDate,
+		TargetDate:     targetDate,
+		Direction:      parsed.Direction,
+		Confidence:     parsed.Confidence,
+		Support:        string(supportJSON),
+		Resistance:     string(resistJSON),
+		Reasoning:      parsed.Reasoning,
+		RiskNote:       parsed.RiskNote,
+		PromptSnapshot: promptSnapshot,
+	}
+	if err := d.Futures.SaveDailyDirection(dd); err != nil {
+		return nil, fmt.Errorf("保存失败: %w", err)
+	}
+
+	return &ddSymbolResult{
+		Symbol:     symbol,
+		Direction:  parsed.Direction,
+		Confidence: parsed.Confidence,
+	}, nil
+}
+
+// directionJSON LLM 返回的期望结构。
+type directionJSON struct {
+	Direction  string    `json:"direction"`
+	Confidence float64   `json:"confidence"`
+	Support    []float64 `json:"support"`
+	Resistance []float64 `json:"resistance"`
+	Reasoning  string    `json:"reasoning"`
+	RiskNote   string    `json:"risk_note"`
+}
+
+// parseDirectionJSON 从 LLM 原始响应中提取结构化结果。
+func parseDirectionJSON(raw string) (*directionJSON, error) {
+	raw = strings.TrimSpace(raw)
+
+	// 尝试直接解析
+	var d directionJSON
+	if err := json.Unmarshal([]byte(raw), &d); err == nil {
+		return &d, d.validate()
+	}
+
+	// 尝试提取 markdown code block 中的 JSON
+	if idx := strings.Index(raw, "```json"); idx >= 0 {
+		rest := raw[idx+7:]
+		if end := strings.Index(rest, "```"); end > 0 {
+			raw = strings.TrimSpace(rest[:end])
+			if err := json.Unmarshal([]byte(raw), &d); err == nil {
+				return &d, d.validate()
+			}
+		}
+	}
+	if idx := strings.Index(raw, "```"); idx >= 0 {
+		rest := raw[idx+3:]
+		if end := strings.Index(rest, "```"); end > 0 {
+			raw = strings.TrimSpace(rest[:end])
+			if err := json.Unmarshal([]byte(raw), &d); err == nil {
+				return &d, d.validate()
+			}
+		}
+	}
+
+	return nil, fmt.Errorf("无法解析 AI 返回的 JSON")
+}
+
+func (d *directionJSON) validate() error {
+	d.Direction = strings.TrimSpace(strings.ToLower(d.Direction))
+	switch d.Direction {
+	case "bullish", "bearish", "neutral":
+	default:
+		return fmt.Errorf("无效的 direction 值: %s", d.Direction)
+	}
+	if d.Confidence < 0 || d.Confidence > 100 {
+		d.Confidence = max(0, min(100, d.Confidence))
+	}
+	return nil
+}
+
+// callLLM 非流式调用 LLM，返回 content 文本。
+func callLLM(cfg *AIConfig, prompt []map[string]string) (string, error) {
+	body := map[string]any{
+		"model":    cfg.Model,
+		"messages": prompt,
+		"stream":   false,
+	}
+	payload, err := json.Marshal(body)
+	if err != nil {
+		return "", err
+	}
+
+	client := &http.Client{Timeout: 120 * time.Second}
+	req, err := http.NewRequest("POST", strings.TrimRight(cfg.BaseURL, "/")+"/chat/completions", bytes.NewReader(payload))
+	if err != nil {
+		return "", err
+	}
+	req.Header.Set("Content-Type", "application/json")
+	req.Header.Set("Authorization", "Bearer "+cfg.APIKey)
+
+	resp, err := client.Do(req)
+	if err != nil {
+		return "", fmt.Errorf("llm request: %w", err)
+	}
+	defer resp.Body.Close()
+
+	if resp.StatusCode != 200 {
+		b, _ := io.ReadAll(io.LimitReader(resp.Body, 2048))
+		return "", fmt.Errorf("llm status %d: %s", resp.StatusCode, string(b))
+	}
+
+	var result struct {
+		Choices []struct {
+			Message struct {
+				Content string `json:"content"`
+			} `json:"message"`
+		} `json:"choices"`
+	}
+	if err := json.NewDecoder(resp.Body).Decode(&result); err != nil {
+		return "", fmt.Errorf("decode llm response: %w", err)
+	}
+	if len(result.Choices) == 0 {
+		return "", fmt.Errorf("llm returned empty choices")
+	}
+	return result.Choices[0].Message.Content, nil
+}
+
+// buildDirectionPrompt 构建方向分析专用 prompt。
+func buildDirectionPrompt(ctx *store.AnalysisContext, symbol string) []map[string]string {
+	s := ctx.Score
+
+	var detail struct {
+		ShortDetails []map[string]any `json:"short_details"`
+		MediumDetail map[string]any   `json:"medium_detail"`
+		LongDetail   map[string]any   `json:"long_detail"`
+		Volatility   map[string]any   `json:"volatility"`
+		AdaptiveW    map[string]any   `json:"adaptive_weights"`
+		VolPenalty   float64          `json:"vol_penalty"`
+		Delta1D      *float64         `json:"composite_delta"`
+		Delta5D      *float64         `json:"composite_delta_5d"`
+	}
+	if s.Detail != nil {
+		_ = json.Unmarshal(s.Detail, &detail)
+	}
+
+	symbolNames := map[string]string{
+		"FG": "玻璃", "SA": "纯碱", "RB": "螺纹钢", "MA": "甲醇", "CF": "棉花", "M": "豆粕",
+	}
+	symbolName := symbolNames[symbol]
+	if symbolName == "" {
+		symbolName = symbol
+	}
+
+	var sb strings.Builder
+
+	// ── 综合概况 ──
+	sb.WriteString(fmt.Sprintf("品种：%s(%s)\n", symbolName, symbol))
+	sb.WriteString(fmt.Sprintf("合约：%s  日期：%s\n", s.TsCode, s.TradeDate))
+	sb.WriteString(fmt.Sprintf("收盘：%.2f  持仓：%.0f (日变动 %+.0f)\n", s.Close, s.OI, s.OIChg))
+	sb.WriteString(fmt.Sprintf("综合分：%.1f/100  信号：%s\n", s.Composite, s.Signal))
+	sb.WriteString(fmt.Sprintf("分层：短期 %.1f  中期 %.1f  长期 %.1f\n", s.ShortTerm, s.MediumTerm, s.LongTerm))
+
+	// 波动率
+	if v, ok := detail.Volatility["vol_penalty"]; ok {
+		risk := 0.0
+		if vr, ok := detail.Volatility["vol_risk"]; ok {
+			if vv, ok := vr.(float64); ok {
+				risk = vv
+			}
+		}
+		sb.WriteString(fmt.Sprintf("波动率惩罚：%.3f (风险 %.2f%%)\n", v, risk*100))
+	}
+
+	// 自适应权重
+	if ts, ok := detail.AdaptiveW["trend_strength"]; ok {
+		sb.WriteString(fmt.Sprintf("趋势强度：%.2f → 权重 短期%.0f%%/中期%.0f%%/长期%.0f%%\n",
+			ts, valPct(detail.AdaptiveW, "w_short"), valPct(detail.AdaptiveW, "w_medium"), valPct(detail.AdaptiveW, "w_long")))
+	}
+
+	// 分数动量
+	if detail.Delta1D != nil {
+		sb.WriteString(fmt.Sprintf("分数日变化：%+.1f", *detail.Delta1D))
+	}
+	if detail.Delta5D != nil {
+		sb.WriteString(fmt.Sprintf("  周变化：%+.1f", *detail.Delta5D))
+	}
+	if detail.Delta1D != nil || detail.Delta5D != nil {
+		sb.WriteString("\n")
+	}
+
+	// ── 短期动力 7 日 ──
+	sb.WriteString("\n近7日逐日打分：\n")
+	for _, d := range detail.ShortDetails {
+		q := fmt.Sprint(d["quadrant"])
+		qcn := map[string]string{
+			"accumulation": "增仓涨", "distribution": "增仓跌",
+			"covering": "减仓涨", "liquidation": "减仓跌", "flat": "持平",
+		}[q]
+		if qcn == "" {
+			qcn = q
+		}
+		sb.WriteString(fmt.Sprintf("  %s %s 涨跌%+.2f%% OI%+.2f%% 量比%.2f 得分%.1f\n",
+			d["trade_date"], qcn, floatVal(d, "price_chg_pct")*100, floatVal(d, "oi_chg_pct")*100, floatVal(d, "vol_ratio"), floatVal(d, "score")))
+	}
+
+	// ── 中期趋势 15 日 ──
+	md := detail.MediumDetail
+	sb.WriteString(fmt.Sprintf("\n中期趋势(15日)：价格信号 %.1f (收益率 %+.2f%%)  资金意愿 %.1f\n",
+		floatVal(md, "price_signal"), floatVal(md, "price_return_pct"), floatVal(md, "fund_signal")))
+	a, d_, c, l := intVal(md, "accumulation_days"), intVal(md, "distribution_days"), intVal(md, "covering_days"), intVal(md, "liquidation_days")
+	sb.WriteString(fmt.Sprintf("象限分布：增仓涨 %d天 增仓跌 %d天 减仓涨 %d天 减仓跌 %d天\n", a, d_, c, l))
+
+	// ── 长期结构 30 日 ──
+	ld := detail.LongDetail
+	sb.WriteString(fmt.Sprintf("\n长期结构(30日)：OI趋势分 %.1f (变化 %+.2f%%)  价格趋势分 %.1f (收益 %+.2f%%)\n",
+		floatVal(ld, "oi_score"), floatVal(ld, "oi_change_pct"), floatVal(ld, "price_score"), floatVal(ld, "price_return_30d_pct")))
+
+	// ── 近 5 日分数趋势 ──
+	if len(ctx.RecentScores) > 0 {
+		sb.WriteString("\n近5日综合分趋势：")
+		for i, rs := range ctx.RecentScores {
+			if i >= 5 {
+				break
+			}
+			sb.WriteString(fmt.Sprintf("%s=%.1f ", rs.TradeDate, rs.Composite))
+		}
+		sb.WriteString("\n")
+	}
+
+	// ── 近 30 日 K 线（支撑阻力依据）──
+	if len(ctx.Candles) > 0 {
+		start := 0
+		if len(ctx.Candles) > 30 {
+			start = len(ctx.Candles) - 30
+		}
+		sb.WriteString("\n近30日K线（开/高/低/收）：\n")
+		for _, c := range ctx.Candles[start:] {
+			sb.WriteString(fmt.Sprintf("  %s O%.1f H%.1f L%.1f C%.1f\n", c.TradeDate, c.Open, c.High, c.Low, c.Close))
+		}
+	}
+
+	systemPrompt := strings.Join([]string{
+		"你是一位期货日内交易分析师。基于量化打分数据，给出下一个交易日的方向判断。",
+		"",
+		"你必须输出严格 JSON，不要有任何额外文字：",
+		"{",
+		`  "direction": "bullish" | "bearish" | "neutral",`,
+		`  "confidence": <0-100 的整数，表示对方向的确定程度>`,
+		`  "support": [<关键支撑位1>, <关键支撑位2>]`,
+		`  "resistance": [<关键阻力位1>, <关键阻力位2>]`,
+		`  "reasoning": "<3-5句话，说明核心逻辑：三层信号是共振还是背离？资金在干什么？>",`,
+		`  "risk_note": "<1-2句话，最可能打破当前判断的风险>"`,
+		"}",
+		"",
+		"分析要点：",
+		"1. 短期(7日)+中期(15日)+长期(30日) ≥2 层指向同一方向 = 有效方向信号",
+		"2. 关注持仓变化：增仓方向才是真方向，减仓方向可能是离场",
+		"3. 分数动量：Δ1d 和 Δ5d 连续同向 = 趋势加速，反向 = 可能转折",
+		"4. 支撑阻力从 K 线数据中找：近期高低点、密集成交区",
+		"5. 波动率惩罚系数 < 0.95 表示行情不稳定，降低 confidence",
+	}, "\n")
+
+	return []map[string]string{
+		{"role": "system", "content": systemPrompt},
+		{"role": "user", "content": sb.String()},
+	}
+}
+
+// nextTradeDate 计算下一个交易日（简化规则：周六→周一，周日→周一，周五→周一，其余+1天）。
+func nextTradeDate(dateStr string) string {
+	t, err := time.Parse("20060102", dateStr)
+	if err != nil {
+		return dateStr
+	}
+	next := t.AddDate(0, 0, 1)
+	switch next.Weekday() {
+	case time.Saturday:
+		next = next.AddDate(0, 0, 2)
+	case time.Sunday:
+		next = next.AddDate(0, 0, 1)
+	}
+	return next.Format("20060102")
+}
+
+// ListDailyDirections 查询方向分析列表。
+func (d *Deps) ListDailyDirections(w http.ResponseWriter, r *http.Request) {
+	q := r.URL.Query()
+	symbol := q.Get("symbol")
+	start := q.Get("start")
+	end := q.Get("end")
+	limit := 50
+	if l, err := strconv.Atoi(q.Get("limit")); err == nil {
+		limit = l
+	}
+
+	items, err := d.Futures.ListDailyDirections(symbol, start, end, limit)
+	if err != nil {
+		writeErr(w, http.StatusInternalServerError, err.Error())
+		return
+	}
+	writeJSON(w, http.StatusOK, items)
+}
--- a/web/backend/internal/handlers/deps.go
+++ b/web/backend/internal/handlers/deps.go
@@ -13,6 +13,7 @@ type Deps struct {
 	Auth       *store.AuthStore
 	Futures    *store.FuturesStore
 	TushareURL string
+	AIConfig   *AIConfig
 }

 func writeJSON(w http.ResponseWriter, status int, body any) {
--- a/web/backend/internal/handlers/llm_config.go
+++ b/web/backend/internal/handlers/llm_config.go
@@ -0,0 +1,86 @@
+package handlers
+
+import (
+	"encoding/json"
+	"net/http"
+	"strings"
+
+	"trade/web/internal/store"
+)
+
+type llmConfigReq struct {
+	BaseURL string `json:"base_url"`
+	APIKey  string `json:"api_key"`
+	Model   string `json:"model"`
+}
+
+type llmConfigResp struct {
+	BaseURL   string `json:"base_url"`
+	APIKey    string `json:"api_key"`    // 脱敏：仅显示首尾
+	Model     string `json:"model"`
+	HasAPIKey bool   `json:"has_api_key"` // 前端据此判断是否已配置
+}
+
+// maskKey 将 sk-abc123xyz 脱敏为 sk-a...xyz。
+func maskKey(key string) string {
+	if len(key) <= 8 {
+		return strings.Repeat("*", len(key))
+	}
+	return key[:4] + "..." + key[len(key)-4:]
+}
+
+// GetLLMConfig 返回当前 LLM 配置（API Key 脱敏）。
+func (d *Deps) GetLLMConfig(w http.ResponseWriter, r *http.Request) {
+	cfg, err := d.Futures.GetLLMConfig()
+	if err != nil {
+		writeErr(w, http.StatusInternalServerError, err.Error())
+		return
+	}
+	resp := llmConfigResp{
+		BaseURL:   cfg.BaseURL,
+		Model:     cfg.Model,
+		HasAPIKey: cfg.APIKey != "",
+	}
+	if cfg.APIKey != "" {
+		resp.APIKey = maskKey(cfg.APIKey)
+	}
+	writeJSON(w, http.StatusOK, resp)
+}
+
+// SaveLLMConfig 保存 LLM 配置。api_key 为脱敏占位时保留原值。
+func (d *Deps) SaveLLMConfig(w http.ResponseWriter, r *http.Request) {
+	var req llmConfigReq
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		writeErr(w, http.StatusBadRequest, "invalid json")
+		return
+	}
+	req.BaseURL = strings.TrimSpace(req.BaseURL)
+	req.Model = strings.TrimSpace(req.Model)
+	if req.BaseURL == "" {
+		req.BaseURL = "https://api.deepseek.com/v1"
+	}
+	if req.Model == "" {
+		req.Model = "deepseek-chat"
+	}
+
+	// 如果前端传的是脱敏值（含 ...），说明未修改 Key，保留旧值
+	if strings.Contains(req.APIKey, "...") {
+		old, err := d.Futures.GetLLMConfig()
+		if err != nil {
+			writeErr(w, http.StatusInternalServerError, err.Error())
+			return
+		}
+		req.APIKey = old.APIKey
+	}
+
+	cfg := &store.LLMConfig{
+		BaseURL: req.BaseURL,
+		APIKey:  req.APIKey,
+		Model:   req.Model,
+	}
+	if err := d.Futures.SaveLLMConfig(cfg); err != nil {
+		writeErr(w, http.StatusInternalServerError, err.Error())
+		return
+	}
+	writeJSON(w, http.StatusOK, map[string]string{"status": "ok"})
+}
--- a/web/backend/internal/handlers/reset.go
+++ b/web/backend/internal/handlers/reset.go
@@ -0,0 +1,22 @@
+package handlers
+
+import (
+	"fmt"
+	"io"
+	"net/http"
+	"time"
+)
+
+func (d *Deps) AdminResetData(w http.ResponseWriter, r *http.Request) {
+	client := &http.Client{Timeout: 10 * time.Second}
+	resp, err := client.Post(d.TushareURL+"/api/v1/admin/reset-data", "application/json", nil)
+	if err != nil {
+		writeErr(w, http.StatusBadGateway, fmt.Sprintf("tushare service unavailable: %v", err))
+		return
+	}
+	defer resp.Body.Close()
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(resp.StatusCode)
+	_, _ = io.Copy(w, resp.Body)
+}
--- a/web/backend/internal/handlers/run.go
+++ b/web/backend/internal/handlers/run.go
@@ -42,6 +42,86 @@ func (d *Deps) RunPipeline(w http.ResponseWriter, r *http.Request) {
 	_, _ = io.Copy(w, resp.Body)
 }

+func (d *Deps) RunBatch(w http.ResponseWriter, r *http.Request) {
+	client := &http.Client{Timeout: 180 * time.Second}
+	resp, err := client.Post(d.TushareURL+"/api/v1/run/batch", "application/json", nil)
+	if err != nil {
+		writeErr(w, http.StatusBadGateway, fmt.Sprintf("tushare service unavailable: %v", err))
+		return
+	}
+	defer resp.Body.Close()
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(resp.StatusCode)
+	_, _ = io.Copy(w, resp.Body)
+}
+
+type runRangeRequest struct {
+	Symbol    string `json:"symbol,omitempty"`
+	StartDate string `json:"start_date,omitempty"`
+	EndDate   string `json:"end_date,omitempty"`
+}
+
+func (d *Deps) RunRange(w http.ResponseWriter, r *http.Request) {
+	var req runRangeRequest
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		writeErr(w, http.StatusBadRequest, "invalid json")
+		return
+	}
+
+	body, err := json.Marshal(req)
+	if err != nil {
+		writeErr(w, http.StatusInternalServerError, "encode request failed")
+		return
+	}
+
+	client := &http.Client{Timeout: 180 * time.Second}
+	resp, err := client.Post(d.TushareURL+"/api/v1/run/range", "application/json", bytes.NewReader(body))
+	if err != nil {
+		writeErr(w, http.StatusBadGateway, fmt.Sprintf("tushare service unavailable: %v", err))
+		return
+	}
+	defer resp.Body.Close()
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(resp.StatusCode)
+	_, _ = io.Copy(w, resp.Body)
+}
+
+type runFullRequest struct {
+	TsCode string `json:"ts_code"`
+}
+
+func (d *Deps) RunFull(w http.ResponseWriter, r *http.Request) {
+	var req runFullRequest
+	if err := json.NewDecoder(r.Body).Decode(&req); err != nil {
+		writeErr(w, http.StatusBadRequest, "invalid json")
+		return
+	}
+	if req.TsCode == "" {
+		writeErr(w, http.StatusBadRequest, "ts_code is required")
+		return
+	}
+
+	body, err := json.Marshal(req)
+	if err != nil {
+		writeErr(w, http.StatusInternalServerError, "encode request failed")
+		return
+	}
+
+	client := &http.Client{Timeout: 300 * time.Second}
+	resp, err := client.Post(d.TushareURL+"/api/v1/run/full", "application/json", bytes.NewReader(body))
+	if err != nil {
+		writeErr(w, http.StatusBadGateway, fmt.Sprintf("tushare service unavailable: %v", err))
+		return
+	}
+	defer resp.Body.Close()
+
+	w.Header().Set("Content-Type", "application/json")
+	w.WriteHeader(resp.StatusCode)
+	_, _ = io.Copy(w, resp.Body)
+}
+
 func (d *Deps) GetActiveContract(w http.ResponseWriter, r *http.Request) {
 	symbol := r.URL.Query().Get("symbol")
 	if symbol == "" {
--- a/web/backend/internal/middleware/logger.go
+++ b/web/backend/internal/middleware/logger.go
@@ -39,6 +39,13 @@ func (r *statusRecorder) WriteHeader(code int) {
 	r.ResponseWriter.WriteHeader(code)
 }

+// Flush 透传 http.Flusher,避免 SSE 流式响应被中间件阻断。
+func (r *statusRecorder) Flush() {
+	if f, ok := r.ResponseWriter.(http.Flusher); ok {
+		f.Flush()
+	}
+}
+
 func writeJSON(w http.ResponseWriter, status int, body any) {
 	w.Header().Set("Content-Type", "application/json")
 	w.WriteHeader(status)
--- a/web/backend/internal/router/router.go
+++ b/web/backend/internal/router/router.go
@@ -31,6 +31,12 @@ func New(d *handlers.Deps, dist fs.FS) http.Handler {
 			r.Get("/contracts/active", d.GetActiveContract)
 			r.Get("/candles", d.ListCandles)
 			r.Post("/run", d.RunPipeline)
+			r.Post("/run/batch", d.RunBatch)
+			r.Post("/run/range", d.RunRange)
+			r.Post("/run/full", d.RunFull)
+			r.Get("/ai/analyze", d.Analyze)
+			r.Post("/ai/daily-direction", d.DailyDirectionRun)
+			r.Get("/ai/daily-direction", d.ListDailyDirections)

 			r.Group(func(r chi.Router) {
 				r.Use(mw.RequireAdmin)
@@ -38,6 +44,9 @@ func New(d *handlers.Deps, dist fs.FS) http.Handler {
 				r.Post("/admin/users", d.AdminCreateUser)
 				r.Patch("/admin/users/{id}", d.AdminPatchUser)
 				r.Delete("/admin/users/{id}", d.AdminDeleteUser)
+				r.Post("/admin/reset-data", d.AdminResetData)
+				r.Get("/admin/llm-config", d.GetLLMConfig)
+				r.Put("/admin/llm-config", d.SaveLLMConfig)
 			})
 		})
 	})
--- a/web/backend/internal/store/ai.go
+++ b/web/backend/internal/store/ai.go
@@ -0,0 +1,134 @@
+package store
+
+import (
+	"database/sql"
+	"encoding/json"
+	"fmt"
+)
+
+// AnalysisContext 汇总一次 AI 分析所需的全部数据。
+type AnalysisContext struct {
+	Score        Score    `json:"score"`
+	Candles      []Candle `json:"candles"`
+	RecentScores []Score  `json:"recent_scores"`
+}
+
+// GetAnalysisContext 拉取指定合约某日的 score + 近 60 日 K 线 + 近 10 日 scores。
+func (s *FuturesStore) GetAnalysisContext(tsCode, tradeDate string) (*AnalysisContext, error) {
+	ctx := &AnalysisContext{}
+
+	// 1) 目标日 score（含 detail_json）
+	row := s.db.QueryRow(`SELECT id, ts_code, trade_date, close, oi, oi_chg, short_term, medium_term,
+		long_term, composite, signal, detail_json, created_at FROM scores
+		WHERE ts_code = $1 AND trade_date = $2`, tsCode, tradeDate)
+	var detail sql.NullString
+	if err := row.Scan(&ctx.Score.ID, &ctx.Score.TsCode, &ctx.Score.TradeDate,
+		&ctx.Score.Close, &ctx.Score.OI, &ctx.Score.OIChg,
+		&ctx.Score.ShortTerm, &ctx.Score.MediumTerm, &ctx.Score.LongTerm,
+		&ctx.Score.Composite, &ctx.Score.Signal, &detail, &ctx.Score.CreatedAt); err != nil {
+		return nil, fmt.Errorf("score not found: %w", err)
+	}
+	if detail.Valid {
+		ctx.Score.Detail = json.RawMessage(detail.String)
+	}
+
+	// 2) 近 60 日 K 线
+	rows, err := s.db.Query(`SELECT ts_code, trade_date,
+		COALESCE(NULLIF(open, 'NaN'::real), 0), COALESCE(NULLIF(high, 'NaN'::real), 0),
+		COALESCE(NULLIF(low, 'NaN'::real), 0), COALESCE(NULLIF(close, 'NaN'::real), 0),
+		COALESCE(NULLIF(vol, 'NaN'::real), 0), COALESCE(NULLIF(amount, 'NaN'::real), 0),
+		COALESCE(NULLIF(oi, 'NaN'::real), 0), COALESCE(NULLIF(oi_chg, 'NaN'::real), 0),
+		COALESCE(NULLIF(pre_close, 'NaN'::real), 0)
+		FROM candles WHERE ts_code = $1 AND trade_date <= $2
+		ORDER BY trade_date DESC LIMIT 60`, tsCode, tradeDate)
+	if err != nil {
+		return nil, fmt.Errorf("candles: %w", err)
+	}
+	defer rows.Close()
+	for rows.Next() {
+		var c Candle
+		if err := rows.Scan(&c.TsCode, &c.TradeDate, &c.Open, &c.High, &c.Low, &c.Close,
+			&c.Vol, &c.Amount, &c.OI, &c.OIChg, &c.PreClose); err != nil {
+			return nil, err
+		}
+		ctx.Candles = append(ctx.Candles, c)
+	}
+	// 反转回升序
+	for i, j := 0, len(ctx.Candles)-1; i < j; i, j = i+1, j-1 {
+		ctx.Candles[i], ctx.Candles[j] = ctx.Candles[j], ctx.Candles[i]
+	}
+
+	// 3) 近 10 日 scores（不含 detail_json 以减体积）
+	scoreRows, err := s.db.Query(`SELECT id, ts_code, trade_date, close, oi, oi_chg, short_term, medium_term,
+		long_term, composite, signal, created_at FROM scores
+		WHERE ts_code = $1 AND trade_date <= $2
+		ORDER BY trade_date DESC LIMIT 10`, tsCode, tradeDate)
+	if err != nil {
+		return nil, fmt.Errorf("recent scores: %w", err)
+	}
+	defer scoreRows.Close()
+	for scoreRows.Next() {
+		var sc Score
+		if err := scoreRows.Scan(&sc.ID, &sc.TsCode, &sc.TradeDate, &sc.Close, &sc.OI, &sc.OIChg,
+			&sc.ShortTerm, &sc.MediumTerm, &sc.LongTerm, &sc.Composite, &sc.Signal, &sc.CreatedAt); err != nil {
+			return nil, err
+		}
+		ctx.RecentScores = append(ctx.RecentScores, sc)
+	}
+	// 反转回升序
+	for i, j := 0, len(ctx.RecentScores)-1; i < j; i, j = i+1, j-1 {
+		ctx.RecentScores[i], ctx.RecentScores[j] = ctx.RecentScores[j], ctx.RecentScores[i]
+	}
+
+	return ctx, nil
+}
+
+// LLMConfig 数据库中的 LLM 配置单例。
+type LLMConfig struct {
+	BaseURL string `json:"base_url"`
+	APIKey  string `json:"api_key"`
+	Model   string `json:"model"`
+}
+
+// EnsureLLMConfigTable 建 llm_config 表（幂等）。
+func (s *FuturesStore) EnsureLLMConfigTable() error {
+	_, err := s.db.Exec(`
+		CREATE TABLE IF NOT EXISTS llm_config (
+			id       INTEGER PRIMARY KEY DEFAULT 1 CHECK(id = 1),
+			base_url TEXT NOT NULL DEFAULT 'https://api.deepseek.com/v1',
+			api_key  TEXT NOT NULL DEFAULT '',
+			model    TEXT NOT NULL DEFAULT 'deepseek-chat',
+			updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
+		);
+		INSERT INTO llm_config (id) VALUES (1) ON CONFLICT DO NOTHING;
+	`)
+	return err
+}
+
+// GetLLMConfig 读取 LLM 配置，无记录返回零值。
+func (s *FuturesStore) GetLLMConfig() (*LLMConfig, error) {
+	cfg := &LLMConfig{}
+	err := s.db.QueryRow(`SELECT base_url, api_key, model FROM llm_config WHERE id = 1`).
+		Scan(&cfg.BaseURL, &cfg.APIKey, &cfg.Model)
+	if err != nil {
+		if err.Error() == "sql: no rows in result set" {
+			return cfg, nil
+		}
+		return nil, err
+	}
+	return cfg, nil
+}
+
+// SaveLLMConfig 写入 LLM 配置（upsert）。
+func (s *FuturesStore) SaveLLMConfig(cfg *LLMConfig) error {
+	_, err := s.db.Exec(`
+		INSERT INTO llm_config (id, base_url, api_key, model, updated_at)
+		VALUES (1, $1, $2, $3, CURRENT_TIMESTAMP)
+		ON CONFLICT (id) DO UPDATE SET
+			base_url = EXCLUDED.base_url,
+			api_key  = EXCLUDED.api_key,
+			model    = EXCLUDED.model,
+			updated_at = CURRENT_TIMESTAMP
+	`, cfg.BaseURL, cfg.APIKey, cfg.Model)
+	return err
+}
--- a/web/backend/internal/store/futures.go
+++ b/web/backend/internal/store/futures.go
@@ -75,7 +75,7 @@ func (s *FuturesStore) ListScores(f ScoreFilter) ([]Score, error) {
 		args = append(args, "%"+f.Signal+"%")
 	}
 	q += " ORDER BY trade_date DESC, id DESC"
-	if f.Limit <= 0 || f.Limit > 500 {
+	if f.Limit <= 0 || f.Limit > 1000 {
 		f.Limit = 200
 	}
 	q += " LIMIT " + next()
@@ -144,14 +144,136 @@ type Candle struct {
 	PreClose  float64 `json:"pre_close"`
 }

+// ── Daily Direction ────────────────────────────────────────────────
+
+// DailyDirection 日内方向分析结果。
+type DailyDirection struct {
+	ID             string  `json:"id"`
+	Symbol         string  `json:"symbol"`
+	TradeDate      string  `json:"trade_date"`
+	TargetDate     string  `json:"target_date"`
+	Direction      string  `json:"direction"`
+	Confidence     float64 `json:"confidence"`
+	Support        string  `json:"support"`     // JSONB → string
+	Resistance     string  `json:"resistance"`  // JSONB → string
+	Reasoning      string  `json:"reasoning"`
+	RiskNote       string  `json:"risk_note"`
+	PromptSnapshot string  `json:"prompt_snapshot,omitempty"`
+	CreatedAt      string  `json:"created_at"`
+}
+
+// EnsureDailyDirectionTable 建 daily_direction 表（幂等）。
+func (s *FuturesStore) EnsureDailyDirectionTable() error {
+	_, err := s.db.Exec(`
+		CREATE TABLE IF NOT EXISTS daily_direction (
+			id              UUID DEFAULT uuidv7() PRIMARY KEY,
+			symbol          TEXT NOT NULL,
+			trade_date      TEXT NOT NULL,
+			target_date     TEXT NOT NULL,
+			direction       TEXT NOT NULL,
+			confidence      REAL,
+			support         JSONB,
+			resistance      JSONB,
+			reasoning       TEXT,
+			risk_note       TEXT,
+			prompt_snapshot TEXT,
+			created_at      TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
+			UNIQUE (symbol, trade_date)
+		)
+	`)
+	return err
+}
+
+// SaveDailyDirection 写入（upsert）一条方向分析。
+func (s *FuturesStore) SaveDailyDirection(dd *DailyDirection) error {
+	_, err := s.db.Exec(`
+		INSERT INTO daily_direction
+		(symbol, trade_date, target_date, direction, confidence, support, resistance, reasoning, risk_note, prompt_snapshot)
+		VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
+		ON CONFLICT (symbol, trade_date) DO UPDATE SET
+			target_date     = EXCLUDED.target_date,
+			direction       = EXCLUDED.direction,
+			confidence      = EXCLUDED.confidence,
+			support         = EXCLUDED.support,
+			resistance      = EXCLUDED.resistance,
+			reasoning       = EXCLUDED.reasoning,
+			risk_note       = EXCLUDED.risk_note,
+			prompt_snapshot = EXCLUDED.prompt_snapshot,
+			created_at      = CURRENT_TIMESTAMP
+	`, dd.Symbol, dd.TradeDate, dd.TargetDate, dd.Direction, dd.Confidence,
+		dd.Support, dd.Resistance, dd.Reasoning, dd.RiskNote, dd.PromptSnapshot)
+	return err
+}
+
+// ListDailyDirections 查询方向分析列表。
+func (s *FuturesStore) ListDailyDirections(symbol, start, end string, limit int) ([]DailyDirection, error) {
+	if limit <= 0 || limit > 500 {
+		limit = 50
+	}
+	q := `SELECT id, symbol, trade_date, target_date, direction, confidence,
+		COALESCE(support::text, '[]'), COALESCE(resistance::text, '[]'),
+		reasoning, risk_note, COALESCE(prompt_snapshot, ''),
+		COALESCE(created_at::text, '')
+		FROM daily_direction WHERE 1=1`
+	args := []any{}
+	n := 0
+	next := func() string { n++; return fmt.Sprintf("$%d", n) }
+	if symbol != "" {
+		q += " AND symbol = " + next()
+		args = append(args, symbol)
+	}
+	if start != "" {
+		q += " AND trade_date >= " + next()
+		args = append(args, start)
+	}
+	if end != "" {
+		q += " AND trade_date <= " + next()
+		args = append(args, end)
+	}
+	q += " ORDER BY trade_date DESC, symbol ASC LIMIT " + next()
+	args = append(args, limit)
+
+	rows, err := s.db.Query(q, args...)
+	if err != nil {
+		return nil, err
+	}
+	defer rows.Close()
+	out := []DailyDirection{}
+	for rows.Next() {
+		var dd DailyDirection
+		if err := rows.Scan(&dd.ID, &dd.Symbol, &dd.TradeDate, &dd.TargetDate,
+			&dd.Direction, &dd.Confidence, &dd.Support, &dd.Resistance,
+			&dd.Reasoning, &dd.RiskNote, &dd.PromptSnapshot, &dd.CreatedAt); err != nil {
+			return nil, err
+		}
+		out = append(out, dd)
+	}
+	return out, rows.Err()
+}
+
+// GetActiveTsCode 通过 scores 表查找某品种在指定日期的活跃合约代码。
+func (s *FuturesStore) GetActiveTsCode(symbol, tradeDate string) (string, error) {
+	var tsCode string
+	err := s.db.QueryRow(
+		`SELECT ts_code FROM scores WHERE trade_date = $1 AND ts_code LIKE $2 || '%' ORDER BY ts_code DESC LIMIT 1`,
+		tradeDate, symbol,
+	).Scan(&tsCode)
+	if err != nil {
+		return "", fmt.Errorf("no active contract for %s on %s: %w", symbol, tradeDate, err)
+	}
+	return tsCode, nil
+}
+
 func (s *FuturesStore) ListCandles(tsCode, start, end string) ([]Candle, error) {
 	if tsCode == "" {
 		return nil, ErrMissingTsCode
 	}
 	q := `SELECT ts_code, trade_date,
-	      COALESCE(open, 0), COALESCE(high, 0), COALESCE(low, 0), COALESCE(close, 0),
-	      COALESCE(vol, 0), COALESCE(amount, 0),
-	      COALESCE(oi, 0), COALESCE(oi_chg, 0), COALESCE(pre_close, 0)
+	      COALESCE(NULLIF(open, 'NaN'::real), 0), COALESCE(NULLIF(high, 'NaN'::real), 0),
+	      COALESCE(NULLIF(low, 'NaN'::real), 0), COALESCE(NULLIF(close, 'NaN'::real), 0),
+	      COALESCE(NULLIF(vol, 'NaN'::real), 0), COALESCE(NULLIF(amount, 'NaN'::real), 0),
+	      COALESCE(NULLIF(oi, 'NaN'::real), 0), COALESCE(NULLIF(oi_chg, 'NaN'::real), 0),
+	      COALESCE(NULLIF(pre_close, 'NaN'::real), 0)
 	      FROM candles WHERE ts_code = $1`
 	args := []any{tsCode}
 	n := 1
--- a/web/backend/main.go
+++ b/web/backend/main.go
@@ -40,7 +40,23 @@ func main() {
 		log.Fatalf("bootstrap: %v", err)
 	}

-	deps := &handlers.Deps{Auth: authDB, Futures: futures, TushareURL: cfg.TushareAPIURL}
+	if err := auth.BootstrapLLMConfig(futures); err != nil {
+		log.Fatalf("bootstrap llm config: %v", err)
+	}
+	if err := futures.EnsureDailyDirectionTable(); err != nil {
+		log.Fatalf("bootstrap daily_direction: %v", err)
+	}
+
+	deps := &handlers.Deps{
+		Auth:       authDB,
+		Futures:    futures,
+		TushareURL: cfg.TushareAPIURL,
+		AIConfig: &handlers.AIConfig{
+			BaseURL: cfg.LLMBaseURL,
+			APIKey:  cfg.LLMAPIKey,
+			Model:   cfg.LLMModel,
+		},
+	}

 	dist, err := fs.Sub(distFS, "dist")
 	if err != nil {
--- a/web/frontend/package.json
+++ b/web/frontend/package.json
@@ -11,6 +11,7 @@
  "dependencies": {
    "axios": "^1.7.7",
    "echarts": "^5.5.1",
+    "marked": "^15.0.0",
    "element-plus": "^2.8.4",
    "pinia": "^2.2.4",
    "vue": "^3.5.10",
--- a/web/frontend/src/App.vue
+++ b/web/frontend/src/App.vue
@@ -1,9 +1,11 @@
 <script setup lang="ts">
 import { computed, ref } from 'vue'
 import { useRouter, useRoute } from 'vue-router'
+import { ElMessage, ElMessageBox } from 'element-plus'
 import { useAuthStore } from '@/stores/auth'
 import { useThemeStore } from '@/stores/theme'
 import { useMobile } from '@/composables/useMobile'
+import { resetAllData } from '@/api/admin'

 const auth = useAuthStore()
 const theme = useThemeStore()
@@ -12,6 +14,7 @@ const route = useRoute()
 const { isMobile } = useMobile()

 const drawerOpen = ref(false)
+const resetting = ref(false)

 const showLayout = computed(() => route.meta.layout !== 'blank' && !!auth.token)

@@ -29,6 +32,32 @@ function logout() {
 function closeDrawer() {
  drawerOpen.value = false
 }
+
+async function handleReset() {
+  closeDrawer()
+  try {
+    await ElMessageBox.prompt('此操作将清空所有行情数据（candles + scores），不可恢复。请输入"确认重置"后继续：', '数据重置', {
+      confirmButtonText: '确认重置',
+      cancelButtonText: '取消',
+      inputPattern: /^确认重置$/,
+      inputErrorMessage: '请输入"确认重置"',
+      type: 'warning',
+    })
+    resetting.value = true
+    await resetAllData()
+    ElMessage.success('已清空所有行情数据')
+    if (route.path === '/scores') {
+      router.go(0)
+    } else {
+      router.push('/scores')
+    }
+  } catch {
+    // user cancelled
+  } finally {
+    resetting.value = false
+  }
+}
+
 </script>

 <template>
@@ -43,10 +72,15 @@ function closeDrawer() {
        :text-color="menuColors.text"
        :active-text-color="menuColors.active"
      >
-        <el-menu-item index="/scores">打分列表</el-menu-item>
+        <el-menu-item index="/scores">品种打分</el-menu-item>
        <el-menu-item index="/chart">K 线 / 持仓</el-menu-item>
+        <el-menu-item index="/contract-full">合约全景</el-menu-item>
        <el-menu-item index="/run">手动打分</el-menu-item>
+        <el-menu-item index="/daily-direction">日内方向</el-menu-item>
        <el-menu-item v-if="auth.isAdmin" index="/admin/users">用户管理</el-menu-item>
+        <el-menu-item v-if="auth.isAdmin" :index="() => {}" @click="handleReset" :disabled="resetting">
+          数据重置
+        </el-menu-item>
      </el-menu>
    </el-aside>

@@ -67,9 +101,11 @@ function closeDrawer() {
          :active-text-color="menuColors.active"
          @select="closeDrawer"
        >
-          <el-menu-item index="/scores">打分列表</el-menu-item>
+          <el-menu-item index="/scores">品种打分</el-menu-item>
          <el-menu-item index="/chart">K 线 / 持仓</el-menu-item>
+          <el-menu-item index="/contract-full">合约全景</el-menu-item>
          <el-menu-item index="/run">手动打分</el-menu-item>
+        <el-menu-item index="/daily-direction">日内方向</el-menu-item>
          <el-menu-item v-if="auth.isAdmin" index="/admin/users">用户管理</el-menu-item>
        </el-menu>
      </el-aside>
--- a/web/frontend/src/api/admin.ts
+++ b/web/frontend/src/api/admin.ts
@@ -0,0 +1,20 @@
+import client from './client'
+
+export function resetAllData() {
+  return client.post('/admin/reset-data').then((r) => r.data)
+}
+
+export interface LLMConfig {
+  base_url: string
+  api_key: string
+  model: string
+  has_api_key: boolean
+}
+
+export function getLLMConfig() {
+  return client.get<LLMConfig>('/admin/llm-config').then((r) => r.data)
+}
+
+export function saveLLMConfig(cfg: { base_url: string; api_key: string; model: string }) {
+  return client.put('/admin/llm-config', cfg).then((r) => r.data)
+}
--- a/web/frontend/src/api/daily.ts
+++ b/web/frontend/src/api/daily.ts
@@ -0,0 +1,46 @@
+import client from './client'
+
+export interface DailyDirection {
+  id: string
+  symbol: string
+  trade_date: string
+  target_date: string
+  direction: string
+  confidence: number
+  support: string   // JSON string of number[]
+  resistance: string // JSON string of number[]
+  reasoning: string
+  risk_note: string
+  created_at: string
+}
+
+export interface DailyDirectionRunRequest {
+  trade_date?: string
+  symbols?: string[]
+}
+
+export interface DailyDirectionRunResult {
+  symbol: string
+  direction: string
+  confidence: number
+  error?: string
+}
+
+export interface DailyDirectionRunResponse {
+  trade_date: string
+  results: DailyDirectionRunResult[]
+  errors?: DailyDirectionRunResult[]
+}
+
+export function runDailyDirection(req?: DailyDirectionRunRequest) {
+  return client.post<DailyDirectionRunResponse>('/ai/daily-direction', req ?? {}, { timeout: 300_000 }).then((r) => r.data)
+}
+
+export function listDailyDirections(params?: {
+  symbol?: string
+  start?: string
+  end?: string
+  limit?: number
+}) {
+  return client.get<DailyDirection[]>('/ai/daily-direction', { params }).then((r) => r.data)
+}
--- a/web/frontend/src/api/run.ts
+++ b/web/frontend/src/api/run.ts
@@ -27,7 +27,62 @@ export interface ActiveContract {
 }

 export function runPipeline(req: RunRequest) {
-  return client.post<RunResponse>('/run', req).then((r) => r.data)
+  return client.post<RunResponse>('/run', req, { timeout: 60_000 }).then((r) => r.data)
+}
+
+export interface RunRangeRequest {
+  symbol: string
+  start_date: string
+  end_date: string
+}
+
+export interface RunRangeResult {
+  trade_date: string
+  close: number
+  composite: number
+  signal: string
+}
+
+export interface RunRangeResponse {
+  ts_code: string
+  start_date: string
+  end_date: string
+  scored: number
+  skipped: number
+  warnings: string[]
+  results: RunRangeResult[]
+}
+
+export interface RunFullRequest {
+  ts_code: string
+}
+
+export interface RunFullResult {
+  trade_date: string
+  close: number
+  composite: number
+  signal: string
+}
+
+export interface RunFullResponse {
+  ts_code: string
+  total_days: number
+  scored_count: number
+  skipped_count: number
+  warnings: string[]
+  results: RunFullResult[]
+}
+
+export function runRange(req: RunRangeRequest) {
+  return client.post<RunRangeResponse>('/run/range', req, { timeout: 180_000 }).then((r) => r.data)
+}
+
+export function runFull(req: RunFullRequest) {
+  return client.post<RunFullResponse>('/run/full', req, { timeout: 300_000 }).then((r) => r.data)
+}
+
+export function runBatch() {
+  return client.post('/run/batch', null, { timeout: 180_000 }).then((r) => r.data)
 }

 export function getActiveContract(symbol: string) {
--- a/web/frontend/src/api/scores.ts
+++ b/web/frontend/src/api/scores.ts
@@ -7,26 +7,60 @@ export interface ShortDetail {
  oi: number
  oi_chg: number
  score: number
+  oi_chg_pct: number
+  price_chg_pct: number
+  vol: number
+  vol_ratio: number
+  quadrant: string
 }

 export interface MediumDetail {
  price_return_pct: number
  price_signal: number
-  long_up_days: number
-  long_down_days: number
+  accumulation_days: number
+  distribution_days: number
+  covering_days: number
+  liquidation_days: number
  fund_signal: number
+  window: number
 }

 export interface LongDetail {
-  avg_oi: number
+  oi_now: number
  oi_before: number
-  change_pct: number
+  oi_change_pct: number
+  oi_score: number
+  price_score: number
+  price_return_30d_pct: number
+  price_before_30d: number
+  avg_oi_30d: number
+  window: number
+}
+
+export interface VolatilityDetail {
+  daily_vol_pct: number
+  atr_pct: number
+  vol_risk: number
+  vol_penalty: number
+}
+
+export interface AdaptiveWeights {
+  trend_strength: number
+  trend_factor: number
+  w_short: number
+  w_medium: number
+  w_long: number
 }

 export interface ScoreDetail {
  short_details?: ShortDetail[]
  medium_detail?: MediumDetail
  long_detail?: LongDetail
+  volatility?: VolatilityDetail
+  adaptive_weights?: AdaptiveWeights
+  vol_penalty?: number
+  composite_delta?: number | null
+  composite_delta_5d?: number | null
 }

 export interface Score {
--- a/web/frontend/src/components/KLineChart.vue
+++ b/web/frontend/src/components/KLineChart.vue
@@ -5,7 +5,7 @@ import type { Candle } from '@/api/candles'
 import { useThemeStore } from '@/stores/theme'
 import { useMobile } from '@/composables/useMobile'

-const props = defineProps<{ data: Candle[] }>()
+const props = defineProps<{ data: Candle[]; scores?: { trade_date: string; composite: number }[] }>()
 const theme = useThemeStore()
 const { isMobile } = useMobile()

@@ -28,51 +28,109 @@ function render() {
  const ohlc = props.data.map((c) => [c.open, c.close, c.low, c.high])
  const oi = props.data.map((c) => c.oi)

+  const scoreMap = new Map((props.scores || []).map((s) => [s.trade_date, s.composite]))
+  const compositeData = props.data.map((c) => scoreMap.get(c.trade_date) ?? null)
+
+  const hasScores = props.scores && props.scores.length > 0
+  const legendData = hasScores ? ['K 线', '持仓量', '综合分'] : ['K 线', '持仓量']
+  const xAxisIndices = hasScores ? [0, 1, 2] : [0, 1]
+  const grids: any[] = [
+    { left: isMobile.value ? 48 : 60, right: isMobile.value ? 12 : 40, top: 40, height: hasScores ? '52%' : '60%' },
+    { left: isMobile.value ? 48 : 60, right: isMobile.value ? 12 : 40, top: hasScores ? '72%' : '78%', height: hasScores ? '14%' : '18%' },
+  ]
+  const xAxes: any[] = [
+    { type: 'category', data: dates, scale: true, boundaryGap: false },
+    { type: 'category', gridIndex: 1, data: dates, scale: true, boundaryGap: false, axisLabel: { show: false } },
+  ]
+  const yAxes: any[] = [
+    { scale: true, splitArea: { show: true }, name: '价格', nameLocation: 'end', nameTextStyle: { fontSize: 11 } },
+    { gridIndex: 1, scale: true, splitNumber: 3, name: '持仓', nameLocation: 'end', nameTextStyle: { fontSize: 11 } },
+  ]
+  const series: any[] = [
+    {
+      name: 'K 线',
+      type: 'candlestick',
+      data: ohlc,
+      itemStyle: {
+        color: '#ec3a3a',
+        color0: '#26a69a',
+        borderColor: '#ec3a3a',
+        borderColor0: '#26a69a',
+      },
+    },
+    {
+      name: '持仓量',
+      type: 'line',
+      xAxisIndex: 1,
+      yAxisIndex: 1,
+      data: oi,
+      smooth: true,
+      showSymbol: false,
+      lineStyle: { color: '#5470c6' },
+      areaStyle: { opacity: 0.15, color: '#5470c6' },
+    },
+  ]
+
+  if (hasScores) {
+    grids.push({ left: isMobile.value ? 48 : 60, right: isMobile.value ? 12 : 40, top: '88%', height: '10%' })
+    xAxes.push({ type: 'category', gridIndex: 2, data: dates, scale: true, boundaryGap: false, axisLabel: { show: false } })
+    yAxes.push({ gridIndex: 2, min: 0, max: 100, splitNumber: 2, name: '综合分', nameLocation: 'end', nameTextStyle: { fontSize: 11 } })
+    series.push({
+      name: '综合分',
+      type: 'bar',
+      xAxisIndex: 2,
+      yAxisIndex: 2,
+      data: compositeData,
+      barWidth: '60%',
+      itemStyle: {
+        color: (params: any) => {
+          const val = params.value as number | null
+          if (val == null) return 'transparent'
+          if (val >= 80) return '#ec3a3a'
+          if (val >= 50) return '#f89898'
+          if (val >= 40) return '#89d6c7'
+          return '#26a69a'
+        },
+      },
+    })
+  }
+
  chart.setOption(
    {
      backgroundColor: 'transparent',
-      tooltip: { trigger: 'axis', axisPointer: { type: 'cross' } },
-      legend: { data: ['K 线', '持仓量'], top: 0 },
-      grid: [
-        { left: isMobile.value ? 48 : 60, right: isMobile.value ? 12 : 40, top: 40, height: '60%' },
-        { left: isMobile.value ? 48 : 60, right: isMobile.value ? 12 : 40, top: '78%', height: '18%' },
-      ],
-      xAxis: [
-        { type: 'category', data: dates, scale: true, boundaryGap: false },
-        { type: 'category', gridIndex: 1, data: dates, scale: true, boundaryGap: false, axisLabel: { show: false } },
-      ],
-      yAxis: [
-        { scale: true, splitArea: { show: true } },
-        { gridIndex: 1, scale: true, splitNumber: 3 },
-      ],
+      tooltip: {
+        trigger: 'axis',
+        axisPointer: { type: 'cross' },
+        formatter: (params: any) => {
+          if (!Array.isArray(params)) return ''
+          const date = params[0]?.axisValue || ''
+          let html = `<strong>${date}</strong><br/>`
+          for (const p of params) {
+            if (p.seriesName === 'K 线') {
+              const ohlc = p.data as number[]
+              const labels = ['开盘', '收盘', '最低', '最高']
+              html += labels.map((n, i) => `${p.marker} ${n}: ${ohlc[i] ?? '-'}`).join('<br/>') + '<br/>'
+              continue
+            }
+            let name = p.seriesName
+            let val: string
+            if (name === '持仓量') val = (p.data as number)?.toLocaleString() ?? '-'
+            else if (name === '综合分') val = (p.data as number)?.toFixed(1) ?? '-'
+            else val = p.data ?? '-'
+            html += `${p.marker} ${name}: ${val}<br/>`
+          }
+          return html
+        },
+      },
+      legend: { data: legendData, top: 0 },
+      grid: grids,
+      xAxis: xAxes,
+      yAxis: yAxes,
      dataZoom: [
-        { type: 'inside', xAxisIndex: [0, 1] },
-        { type: 'slider', xAxisIndex: [0, 1], height: 18, bottom: 6 },
-      ],
-      series: [
-        {
-          name: 'K 线',
-          type: 'candlestick',
-          data: ohlc,
-          itemStyle: {
-            color: '#ec3a3a',
-            color0: '#26a69a',
-            borderColor: '#ec3a3a',
-            borderColor0: '#26a69a',
-          },
-        },
-        {
-          name: '持仓量',
-          type: 'line',
-          xAxisIndex: 1,
-          yAxisIndex: 1,
-          data: oi,
-          smooth: true,
-          showSymbol: false,
-          lineStyle: { color: '#5470c6' },
-          areaStyle: { opacity: 0.15, color: '#5470c6' },
-        },
+        { type: 'inside', xAxisIndex: xAxisIndices },
+        { type: 'slider', xAxisIndex: xAxisIndices, height: 18, bottom: 6 },
      ],
+      series,
    },
    true,
  )
--- a/web/frontend/src/components/ScoreDetailDrawer.vue
+++ b/web/frontend/src/components/ScoreDetailDrawer.vue
@@ -1,5 +1,6 @@
 <script setup lang="ts">
 import { computed, ref, watch } from 'vue'
+import { marked } from 'marked'
 import { getScore, type Score } from '@/api/scores'
 import { parseTsCode } from '@/utils/contract'
 import { useMobile } from '@/composables/useMobile'
@@ -12,6 +13,43 @@ const emit = defineEmits<{ (e: 'close'): void }>()
 const score = ref<Score | null>(null)
 const loading = ref(false)

+// AI 分析
+const aiLoading = ref(false)
+const aiContent = ref('')
+const aiError = ref('')
+let es: EventSource | null = null
+
+function closeAI() {
+  es?.close()
+  es = null
+  aiLoading.value = false
+}
+
+async function askAI() {
+  if (!score.value) return
+  closeAI()
+  aiLoading.value = true
+  aiContent.value = ''
+  aiError.value = ''
+
+  const url = `/api/ai/analyze?ts_code=${encodeURIComponent(score.value.ts_code)}&trade_date=${encodeURIComponent(score.value.trade_date)}`
+  es = new EventSource(url)
+  es.addEventListener('token', (e) => {
+    aiContent.value += e.data
+  })
+  es.addEventListener('error', (e) => {
+    aiError.value = (e as any)?.data || '请求失败'
+    closeAI()
+  })
+  es.addEventListener('done', () => {
+    closeAI()
+  })
+  es.onerror = () => {
+    if (!aiContent.value && !aiError.value) aiError.value = '连接中断'
+    closeAI()
+  }
+}
+
 const visible = computed({
  get: () => props.scoreId !== null,
  set: (v) => {
@@ -22,6 +60,9 @@ const visible = computed({
 watch(
  () => props.scoreId,
  async (id) => {
+    closeAI()
+    aiContent.value = ''
+    aiError.value = ''
    if (id === null) {
      score.value = null
      return
@@ -34,10 +75,32 @@ watch(
    }
  },
 )
+
+const quadrantTag = (q: string) => {
+  const map: Record<string, string> = {
+    accumulation: 'success',
+    distribution: 'warning',
+    covering: 'info',
+    liquidation: 'danger',
+    flat: '',
+  }
+  return map[q] ?? ''
+}
+
+const quadrantLabel = (q: string) => {
+  const map: Record<string, string> = {
+    accumulation: '增仓涨',
+    distribution: '增仓跌',
+    covering: '减仓涨',
+    liquidation: '减仓跌',
+    flat: '持平',
+  }
+  return map[q] ?? q
+}
 </script>

 <template>
-  <el-drawer v-model="visible" title="打分明细" :size="isMobile ? '92%' : '640px'" destroy-on-close>
+  <el-drawer v-model="visible" title="打分明细" :size="isMobile ? '92%' : '720px'" destroy-on-close>
    <div v-loading="loading" v-if="score">
      <el-descriptions :column="isMobile ? 1 : 2" border>
        <el-descriptions-item label="品种">{{ parseTsCode(score.ts_code).symbol }}</el-descriptions-item>
@@ -51,56 +114,174 @@ watch(
        <el-descriptions-item label="信号">
          <el-tag>{{ score.signal }}</el-tag>
        </el-descriptions-item>
-        <el-descriptions-item label="短期(7d × 0.4)">{{ score.short_term.toFixed(2) }}</el-descriptions-item>
-        <el-descriptions-item label="中期(15d × 0.35)">{{ score.medium_term.toFixed(2) }}</el-descriptions-item>
-        <el-descriptions-item label="长期(30d × 0.25)" :span="isMobile ? 1 : 2">
+        <el-descriptions-item label="短期(7d)">{{ score.short_term.toFixed(2) }}</el-descriptions-item>
+        <el-descriptions-item label="中期(15d)">{{ score.medium_term.toFixed(2) }}</el-descriptions-item>
+        <el-descriptions-item label="长期(30d)" :span="isMobile ? 1 : 2">
          {{ score.long_term.toFixed(2) }}
        </el-descriptions-item>
+        <el-descriptions-item v-if="score.detail?.composite_delta != null" label="Δ1d">
+          <span :style="{ color: score.detail.composite_delta >= 0 ? '#e4393c' : '#1ca11c' }">
+            {{ score.detail.composite_delta >= 0 ? '+' : '' }}{{ score.detail.composite_delta.toFixed(1) }}
+          </span>
+        </el-descriptions-item>
+        <el-descriptions-item v-if="score.detail?.composite_delta_5d != null" label="Δ5d">
+          <span :style="{ color: score.detail.composite_delta_5d >= 0 ? '#e4393c' : '#1ca11c' }">
+            {{ score.detail.composite_delta_5d >= 0 ? '+' : '' }}{{ score.detail.composite_delta_5d.toFixed(1) }}
+          </span>
+        </el-descriptions-item>
      </el-descriptions>

      <h4 class="section">短期 7 日逐日打分</h4>
      <div class="table-wrapper">
-        <el-table :data="score.detail?.short_details ?? []" size="small" border class="detail-table">
+        <el-table
+          :data="score.detail?.short_details ?? []"
+          size="small"
+          border
+          class="detail-table"
+          max-height="400"
+        >
          <el-table-column prop="trade_date" label="日期" width="100" />
-          <el-table-column prop="close" label="收盘" />
-          <el-table-column prop="pre_close" label="昨收" />
-          <el-table-column prop="oi" label="持仓" />
-          <el-table-column prop="oi_chg" label="持仓变化" />
-          <el-table-column prop="score" label="单日得分" />
+          <el-table-column prop="close" label="收盘" width="70" />
+          <el-table-column label="涨跌幅" width="80">
+            <template #default="{ row }">
+              <span :style="{ color: row.price_chg_pct >= 0 ? '#e4393c' : '#1ca11c' }">
+                {{ ((row.price_chg_pct ?? 0) * 100).toFixed(2) }}%
+              </span>
+            </template>
+          </el-table-column>
+          <el-table-column label="OI变化%" width="90">
+            <template #default="{ row }">
+              {{ ((row.oi_chg_pct ?? 0) * 100).toFixed(2) }}%
+            </template>
+          </el-table-column>
+          <el-table-column label="量比" width="65">
+            <template #default="{ row }">
+              {{ row.vol_ratio ?? '-' }}
+            </template>
+          </el-table-column>
+          <el-table-column label="象限" width="85">
+            <template #default="{ row }">
+              <el-tag :type="quadrantTag(row.quadrant)" size="small">
+                {{ quadrantLabel(row.quadrant) }}
+              </el-tag>
+            </template>
+          </el-table-column>
+          <el-table-column prop="score" label="得分" width="65" />
        </el-table>
      </div>

-      <h4 class="section">中期(15d)细节</h4>
+      <h4 class="section">中期(15d)资金意愿</h4>
      <el-descriptions :column="isMobile ? 1 : 2" border v-if="score.detail?.medium_detail">
        <el-descriptions-item label="价格收益率">
-          {{ (score.detail.medium_detail.price_return_pct * 100).toFixed(2) }}%
+          {{ score.detail.medium_detail.price_return_pct.toFixed(2) }}%
        </el-descriptions-item>
        <el-descriptions-item label="价格信号分">
          {{ score.detail.medium_detail.price_signal.toFixed(2) }}
        </el-descriptions-item>
-        <el-descriptions-item label="增仓上涨日">
-          {{ score.detail.medium_detail.long_up_days }}
+        <el-descriptions-item label="增仓上涨">
+          {{ score.detail.medium_detail.accumulation_days }} 天
        </el-descriptions-item>
-        <el-descriptions-item label="增仓下跌日">
-          {{ score.detail.medium_detail.long_down_days }}
+        <el-descriptions-item label="增仓下跌">
+          {{ score.detail.medium_detail.distribution_days }} 天
+        </el-descriptions-item>
+        <el-descriptions-item label="减仓上涨">
+          {{ score.detail.medium_detail.covering_days }} 天
+        </el-descriptions-item>
+        <el-descriptions-item label="减仓下跌">
+          {{ score.detail.medium_detail.liquidation_days }} 天
        </el-descriptions-item>
        <el-descriptions-item label="资金意愿分" :span="isMobile ? 1 : 2">
-          {{ score.detail.medium_detail.fund_signal }}
+          {{ score.detail.medium_detail.fund_signal.toFixed(1) }}
+          <span class="formula-hint">(四象限加权合成)</span>
        </el-descriptions-item>
      </el-descriptions>

-      <h4 class="section">长期(30d)细节</h4>
+      <h4 class="section">长期(30d)结构</h4>
      <el-descriptions :column="isMobile ? 1 : 2" border v-if="score.detail?.long_detail">
-        <el-descriptions-item label="30 日均持仓">
-          {{ score.detail.long_detail.avg_oi.toFixed(0) }}
+        <el-descriptions-item label="OI 趋势分">
+          {{ score.detail.long_detail.oi_score?.toFixed(1) ?? '-' }}
+          <span class="formula-hint">(权重 60%)</span>
        </el-descriptions-item>
-        <el-descriptions-item label="30 日前持仓">
-          {{ score.detail.long_detail.oi_before.toFixed(0) }}
+        <el-descriptions-item label="价格趋势分">
+          {{ score.detail.long_detail.price_score?.toFixed(1) ?? '-' }}
+          <span class="formula-hint">(权重 40%)</span>
        </el-descriptions-item>
-        <el-descriptions-item label="变化幅度" :span="isMobile ? 1 : 2">
-          {{ (score.detail.long_detail.change_pct * 100).toFixed(2) }}%
+        <el-descriptions-item label="30 日价格收益">
+          {{ score.detail.long_detail.price_return_30d_pct?.toFixed(2) ?? '-' }}%
+        </el-descriptions-item>
+        <el-descriptions-item label="30 日前收盘">
+          {{ score.detail.long_detail.price_before_30d?.toFixed(2) ?? '-' }}
+        </el-descriptions-item>
+        <el-descriptions-item label="当前 OI">
+          {{ score.detail.long_detail.oi_now?.toFixed(0) ?? '-' }}
+        </el-descriptions-item>
+        <el-descriptions-item label="30 日前 OI">
+          {{ score.detail.long_detail.oi_before?.toFixed(0) ?? '-' }}
+        </el-descriptions-item>
+        <el-descriptions-item label="OI 变化幅度" :span="isMobile ? 1 : 2">
+          {{ score.detail.long_detail.oi_change_pct?.toFixed(2) ?? '-' }}%
        </el-descriptions-item>
      </el-descriptions>
+
+      <h4 class="section">波动率调整</h4>
+      <el-descriptions :column="isMobile ? 1 : 2" border v-if="score.detail?.volatility">
+        <el-descriptions-item label="日波动率(30d std)">
+          {{ (score.detail.volatility.daily_vol_pct * 100).toFixed(2) }}%
+        </el-descriptions-item>
+        <el-descriptions-item label="ATR%">
+          {{ (score.detail.volatility.atr_pct * 100).toFixed(2) }}%
+        </el-descriptions-item>
+        <el-descriptions-item label="综合波动风险" v-if="score.detail.volatility.vol_risk !== undefined">
+          {{ (score.detail.volatility.vol_risk * 100).toFixed(2) }}%
+        </el-descriptions-item>
+        <el-descriptions-item label="惩罚系数">
+          {{ score.detail.volatility.vol_penalty.toFixed(3) }}
+        </el-descriptions-item>
+      </el-descriptions>
+
+      <template v-if="score.detail?.adaptive_weights">
+        <h4 class="section">自适应权重</h4>
+        <el-descriptions :column="isMobile ? 1 : 2" border>
+          <el-descriptions-item label="趋势强度">
+            {{ score.detail.adaptive_weights.trend_strength.toFixed(2) }}
+          </el-descriptions-item>
+          <el-descriptions-item label="趋势因子">
+            {{ (score.detail.adaptive_weights.trend_factor * 100).toFixed(0) }}%
+          </el-descriptions-item>
+          <el-descriptions-item label="短期权重">
+            {{ (score.detail.adaptive_weights.w_short * 100).toFixed(0) }}%
+          </el-descriptions-item>
+          <el-descriptions-item label="中期权重">
+            {{ (score.detail.adaptive_weights.w_medium * 100).toFixed(0) }}%
+          </el-descriptions-item>
+          <el-descriptions-item label="长期权重" :span="isMobile ? 1 : 2">
+            {{ (score.detail.adaptive_weights.w_long * 100).toFixed(0) }}%
+          </el-descriptions-item>
+        </el-descriptions>
+      </template>
+
+      <el-divider />
+
+      <div class="ai-section">
+        <div v-if="!aiLoading && !aiContent && !aiError">
+          <el-button type="primary" :loading="aiLoading" @click="askAI">
+            🤖 AI 分析当前打分
+          </el-button>
+        </div>
+        <div v-if="aiLoading || aiContent || aiError" class="ai-card">
+          <div class="ai-header">
+            <span>🤖 AI 分析</span>
+            <el-button text size="small" @click="closeAI" v-if="aiLoading">取消</el-button>
+          </div>
+          <div class="ai-body">
+            <div v-if="aiContent" class="ai-text" v-html="marked(aiContent)"></div>
+            <div v-if="aiError" class="ai-error">{{ aiError }}</div>
+            <div v-if="aiLoading && !aiContent" class="ai-loading">
+              <el-icon class="is-loading"><span>⏳</span></el-icon> 正在分析...
+            </div>
+          </div>
+        </div>
+      </div>
    </div>
  </el-drawer>
 </template>
@@ -113,6 +294,66 @@ watch(
  overflow-x: auto;
 }
 .detail-table {
-  min-width: 520px;
+  min-width: 620px;
+}
+.formula-hint {
+  color: var(--el-text-color-secondary);
+  font-size: 12px;
+  margin-left: 6px;
+}
+.ai-section {
+  margin-top: 4px;
+}
+.ai-card {
+  border: 1px solid var(--el-border-color);
+  border-radius: 6px;
+  margin-top: 8px;
+  overflow: hidden;
+}
+.ai-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 8px 12px;
+  background: var(--el-fill-color-light);
+  font-weight: 600;
+}
+.ai-body {
+  padding: 12px;
+}
+.ai-text {
+  line-height: 1.7;
+}
+.ai-text :deep(p) {
+  margin: 8px 0;
+}
+.ai-text :deep(h1),
+.ai-text :deep(h2),
+.ai-text :deep(h3),
+.ai-text :deep(h4) {
+  margin: 16px 0 8px;
+}
+.ai-text :deep(ul),
+.ai-text :deep(ol) {
+  margin: 8px 0;
+  padding-left: 20px;
+}
+.ai-text :deep(li) {
+  margin: 4px 0;
+}
+.ai-error {
+  color: var(--el-color-danger);
+}
+.ai-loading {
+  color: var(--el-text-color-secondary);
 }
 </style>
+
+<style>
+/* AI Markdown 输出段落间距（非 scoped，确保 v-html 生效） */
+.ai-text p { margin: 3px 0; }
+.ai-text h1, .ai-text h2, .ai-text h3, .ai-text h4 { margin: 16px 0 6px; font-size: inherit; }
+.ai-text ul, .ai-text ol { margin: 3px 0; padding-left: 18px; }
+.ai-text li { margin: 1px 0; }
+.ai-text strong { color: var(--el-color-primary, #409eff); }
+</style>
--- a/web/frontend/src/router/index.ts
+++ b/web/frontend/src/router/index.ts
@@ -25,11 +25,21 @@ const routes: RouteRecordRaw[] = [
    name: 'chart',
    component: () => import('@/views/ChartView.vue'),
  },
+  {
+    path: '/contract-full',
+    name: 'contract-full',
+    component: () => import('@/views/ContractFullView.vue'),
+  },
  {
    path: '/run',
    name: 'run',
    component: () => import('@/views/RunView.vue'),
  },
+  {
+    path: '/daily-direction',
+    name: 'daily-direction',
+    component: () => import('@/views/DailyDirectionView.vue'),
+  },
  {
    path: '/admin/users',
    name: 'admin-users',
--- a/web/frontend/src/views/AdminUsersView.vue
+++ b/web/frontend/src/views/AdminUsersView.vue
@@ -8,6 +8,7 @@ import {
  updateUser,
  type AdminUser,
 } from '@/api/users'
+import { getLLMConfig, saveLLMConfig, type LLMConfig } from '@/api/admin'
 import { useAuthStore } from '@/stores/auth'

 const auth = useAuthStore()
@@ -27,6 +28,52 @@ const resetDialog = reactive({
  password: '',
 })

+// LLM 配置
+const llmCfg = reactive({
+  base_url: 'https://api.deepseek.com/v1',
+  api_key: '',
+  model: 'deepseek-chat',
+  has_api_key: false,
+  saving: false,
+  loading: false,
+})
+
+async function loadLLMConfig() {
+  llmCfg.loading = true
+  try {
+    const cfg = await getLLMConfig()
+    llmCfg.base_url = cfg.base_url
+    llmCfg.api_key = cfg.api_key || ''
+    llmCfg.model = cfg.model
+    llmCfg.has_api_key = cfg.has_api_key
+  } catch {
+    // ignore
+  } finally {
+    llmCfg.loading = false
+  }
+}
+
+async function submitLLMConfig() {
+  if (!llmCfg.base_url.trim()) {
+    ElMessage.warning('API 地址不能为空')
+    return
+  }
+  llmCfg.saving = true
+  try {
+    await saveLLMConfig({
+      base_url: llmCfg.base_url.trim(),
+      api_key: llmCfg.api_key.trim(),
+      model: llmCfg.model.trim(),
+    })
+    ElMessage.success('LLM 配置已保存')
+    await loadLLMConfig()
+  } catch (e: any) {
+    ElMessage.error(e?.response?.data?.error || '保存失败')
+  } finally {
+    llmCfg.saving = false
+  }
+}
+
 async function reload() {
  loading.value = true
  try {
@@ -91,7 +138,10 @@ async function remove(u: AdminUser) {
  await reload()
 }

-onMounted(reload)
+onMounted(() => {
+  reload()
+  loadLLMConfig()
+})
 </script>

 <template>
@@ -145,6 +195,38 @@ onMounted(reload)
      </el-table>
    </div>

+    <el-card shadow="never">
+      <template #header>
+        <div class="card-header">
+          <span>🤖 LLM 配置</span>
+          <el-tag :type="llmCfg.has_api_key ? 'success' : 'warning'" size="small">
+            {{ llmCfg.has_api_key ? '已配置' : '未配置' }}
+          </el-tag>
+        </div>
+      </template>
+      <el-form label-width="100px" v-loading="llmCfg.loading" @submit.prevent>
+        <el-form-item label="API 地址">
+          <el-input v-model="llmCfg.base_url" placeholder="https://api.deepseek.com/v1" />
+        </el-form-item>
+        <el-form-item label="API Key">
+          <el-input
+            v-model="llmCfg.api_key"
+            type="password"
+            show-password
+            placeholder="sk-..."
+          />
+        </el-form-item>
+        <el-form-item label="模型">
+          <el-input v-model="llmCfg.model" placeholder="deepseek-chat" />
+        </el-form-item>
+        <el-form-item>
+          <el-button type="primary" :loading="llmCfg.saving" @click="submitLLMConfig">
+            保存配置
+          </el-button>
+        </el-form-item>
+      </el-form>
+    </el-card>
+
    <el-dialog v-model="createDialog.visible" title="新建账号" width="420px">
      <el-form label-width="80px">
        <el-form-item label="用户名">
@@ -197,6 +279,11 @@ onMounted(reload)
  align-items: center;
  color: var(--el-text-color-regular);
 }
+.card-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+}
 .table-wrapper {
  background: var(--el-bg-color);
  border-radius: 4px;
--- a/web/frontend/src/views/ContractFullView.vue
+++ b/web/frontend/src/views/ContractFullView.vue
@@ -0,0 +1,183 @@
+<script setup lang="ts">
+import { onMounted, reactive, ref } from 'vue'
+import { ElMessage, ElMessageBox } from 'element-plus'
+import { listContracts } from '@/api/scores'
+import { listCandles, type Candle } from '@/api/candles'
+import { listScores, type Score } from '@/api/scores'
+import { runFull, type RunFullResponse } from '@/api/run'
+import KLineChart from '@/components/KLineChart.vue'
+import { useMobile } from '@/composables/useMobile'
+
+const { isMobile } = useMobile()
+
+const filter = reactive<{ ts_code: string; range: [string, string] | [] }>({
+  ts_code: '',
+  range: [],
+})
+
+const contracts = ref<string[]>([])
+const candles = ref<Candle[]>([])
+const scores = ref<Score[]>([])
+const loading = ref(false)
+const fullLoading = ref(false)
+const fullResult = ref<RunFullResponse | null>(null)
+
+async function reload() {
+  if (!filter.ts_code) {
+    ElMessage.warning('请输入或选择合约')
+    return
+  }
+  loading.value = true
+  try {
+    const [start, end] = filter.range || []
+    const [candleData, scoreData] = await Promise.all([
+      listCandles(filter.ts_code, start, end),
+      listScores({ ts_code: filter.ts_code, start, end, limit: 1000 }),
+    ])
+    candles.value = candleData
+    scores.value = scoreData
+
+    // 如果数据库里没有该合约数据，自动拉取并打分
+    if (candleData.length === 0) {
+      await doFetchAndScore(true)
+    }
+  } finally {
+    loading.value = false
+  }
+}
+
+async function doFetchAndScore(skipConfirm: boolean) {
+  if (!filter.ts_code) {
+    ElMessage.warning('请输入或选择合约')
+    return
+  }
+
+  if (!skipConfirm) {
+    try {
+      await ElMessageBox.confirm(
+        `即将拉取 ${filter.ts_code} 的全部历史数据并逐日打分，这可能需要一些时间。`,
+        '拉取并打分',
+        { confirmButtonText: '确认', cancelButtonText: '取消', type: 'warning' },
+      )
+    } catch {
+      return
+    }
+  }
+
+  fullLoading.value = true
+  fullResult.value = null
+  try {
+    const resp = await runFull({ ts_code: filter.ts_code })
+    fullResult.value = resp
+    // 用后端返回的完整代码（含交易所后缀）更新输入框
+    filter.ts_code = resp.ts_code
+    ElMessage.success(`完成: ${resp.scored_count} 天已打分, ${resp.skipped_count} 天跳过`)
+    await loadData()
+  } catch (err: any) {
+    const msg = err?.response?.data?.error || err.message || '请求失败'
+    ElMessage.error(msg)
+  } finally {
+    fullLoading.value = false
+  }
+}
+
+async function handleFetchAndScore() {
+  await doFetchAndScore(false)
+}
+
+async function loadData() {
+  if (!filter.ts_code) return
+  const [start, end] = filter.range || []
+  const [candleData, scoreData] = await Promise.all([
+    listCandles(filter.ts_code, start, end),
+    listScores({ ts_code: filter.ts_code, start, end, limit: 1000 }),
+  ])
+  candles.value = candleData
+  scores.value = scoreData
+}
+
+onMounted(async () => {
+  contracts.value = await listContracts().catch(() => [])
+  if (contracts.value.length > 0) {
+    filter.ts_code = contracts.value[0]
+    await reload()
+  }
+})
+</script>
+
+<template>
+  <div class="page">
+    <el-card shadow="never" class="filter-card">
+      <el-form :inline="!isMobile">
+        <el-form-item label="合约">
+          <div style="display: flex; gap: 8px;">
+            <el-input
+              v-model="filter.ts_code"
+              placeholder="输入合约代码如 FG2509"
+              clearable
+              :style="{ width: isMobile ? '100%' : '200px' }"
+            />
+            <el-select
+              v-model="filter.ts_code"
+              placeholder="已存合约"
+              clearable
+              style="width: 120px"
+            >
+              <el-option v-for="c in contracts" :key="c" :label="c" :value="c" />
+            </el-select>
+          </div>
+        </el-form-item>
+        <el-form-item label="日期">
+          <el-date-picker
+            v-model="filter.range"
+            type="daterange"
+            value-format="YYYYMMDD"
+            range-separator="→"
+            start-placeholder="起"
+            end-placeholder="止"
+            :style="{ width: isMobile ? '100%' : 'auto' }"
+          />
+        </el-form-item>
+        <el-form-item>
+          <el-button type="primary" :loading="loading" @click="reload">刷新</el-button>
+          <el-button type="warning" :loading="fullLoading" @click="handleFetchAndScore">
+            拉取并打分
+          </el-button>
+        </el-form-item>
+      </el-form>
+    </el-card>
+
+    <el-card v-if="fullResult" shadow="never" class="result-card">
+      <el-descriptions :column="isMobile ? 2 : 4" border>
+        <el-descriptions-item label="合约">{{ fullResult.ts_code }}</el-descriptions-item>
+        <el-descriptions-item label="总天数">{{ fullResult.total_days }}</el-descriptions-item>
+        <el-descriptions-item label="已打分">{{ fullResult.scored_count }}</el-descriptions-item>
+        <el-descriptions-item label="跳过">{{ fullResult.skipped_count }}</el-descriptions-item>
+      </el-descriptions>
+    </el-card>
+
+    <el-card shadow="never" class="chart-card" v-loading="loading">
+      <KLineChart
+        :data="candles"
+        :scores="scores.map((s) => ({ trade_date: s.trade_date, composite: s.composite }))"
+      />
+    </el-card>
+  </div>
+</template>
+
+<style scoped>
+.page {
+  display: flex;
+  flex-direction: column;
+  gap: 12px;
+}
+.filter-card :deep(.el-card__body) {
+  padding: 12px 16px;
+}
+.result-card :deep(.el-card__body) {
+  padding: 12px 16px;
+}
+.chart-card :deep(.el-card__body) {
+  padding: 8px;
+}
+</style>
--- a/web/frontend/src/views/DailyDirectionView.vue
+++ b/web/frontend/src/views/DailyDirectionView.vue
@@ -0,0 +1,304 @@
+<script setup lang="ts">
+import { ref, onMounted, computed } from 'vue'
+import { ElMessage } from 'element-plus'
+import {
+  listDailyDirections,
+  runDailyDirection,
+  type DailyDirection,
+  type DailyDirectionRunResponse,
+} from '@/api/daily'
+import { runBatch } from '@/api/run'
+
+const items = ref<DailyDirection[]>([])
+const loading = ref(false)
+const running = ref(false)
+const runStep = ref('')
+const runResult = ref<DailyDirectionRunResponse | null>(null)
+const selectedRow = ref<DailyDirection | null>(null)
+const drawerOpen = ref(false)
+
+const symbolNames: Record<string, string> = {
+  FG: '玻璃', SA: '纯碱', RB: '螺纹钢', MA: '甲醇', CF: '棉花', M: '豆粕',
+}
+
+const directionLabel = (d: string) => {
+  switch (d) {
+    case 'bullish': return '看多'
+    case 'bearish': return '看空'
+    case 'neutral': return '震荡'
+    default: return d
+  }
+}
+
+const directionType = (d: string): '' | 'success' | 'danger' | 'warning' => {
+  switch (d) {
+    case 'bullish': return 'success'
+    case 'bearish': return 'danger'
+    case 'neutral': return 'warning'
+    default: return ''
+  }
+}
+
+const runSummary = computed(() => {
+  if (!runResult.value) return ''
+  const parts: string[] = []
+  for (const r of runResult.value.results ?? []) {
+    parts.push(`${symbolNames[r.symbol] ?? r.symbol}: ${directionLabel(r.direction)}`)
+  }
+  return parts.join('  |  ')
+})
+
+const drawerTitle = computed(() => {
+  if (!selectedRow.value) return ''
+  const name = symbolNames[selectedRow.value.symbol] ?? selectedRow.value.symbol
+  return `${name}(${selectedRow.value.symbol}) · ${selectedRow.value.trade_date}`
+})
+
+async function fetchList() {
+  loading.value = true
+  try {
+    items.value = await listDailyDirections({ limit: 50 })
+  } catch {
+    ElMessage.error('加载失败')
+  } finally {
+    loading.value = false
+  }
+}
+
+async function handleRun() {
+  running.value = true
+  runResult.value = null
+  try {
+    runStep.value = '正在拉取数据…'
+    await runBatch()
+    runStep.value = '正在 AI 分析…'
+    runResult.value = await runDailyDirection()
+    const ok = runResult.value?.results?.length ?? 0
+    const fail = runResult.value?.errors?.length ?? 0
+    if (fail > 0) {
+      ElMessage.warning(`分析完成：成功 ${ok} 个，失败 ${fail} 个`)
+    } else {
+      ElMessage.success(`已完成 ${ok} 个品种的方向分析`)
+    }
+    await fetchList()
+  } catch (e: any) {
+    ElMessage.error(e?.response?.data?.error || '分析失败')
+  } finally {
+    running.value = false
+  }
+}
+
+function parseLevels(json: string): number[] {
+  try {
+    return JSON.parse(json) as number[]
+  } catch {
+    return []
+  }
+}
+
+function levelAt(json: string, i: number): string {
+  const arr = parseLevels(json)
+  return arr[i] != null ? String(arr[i]) : '-'
+}
+
+function openDrawer(row: DailyDirection) {
+  selectedRow.value = row
+  drawerOpen.value = true
+}
+
+onMounted(fetchList)
+</script>
+
+<template>
+  <div class="daily-direction">
+    <div class="toolbar">
+      <h2>日内方向分析</h2>
+      <el-button type="primary" :loading="running" @click="handleRun">
+        {{ running ? runStep : '执行分析' }}
+      </el-button>
+    </div>
+
+    <el-alert
+      v-if="runResult"
+      :title="`${runResult.trade_date} 分析结果`"
+      :description="runSummary"
+      type="info"
+      show-icon
+      closable
+      style="margin-bottom: 16px"
+    />
+
+    <el-table :data="items" stripe v-loading="loading" empty-text="暂无数据，请先执行分析" highlight-current-row @row-click="openDrawer">
+      <el-table-column prop="symbol" label="品种" width="80">
+        <template #default="{ row }">
+          {{ symbolNames[row.symbol] ?? row.symbol }}
+        </template>
+      </el-table-column>
+      <el-table-column prop="trade_date" label="分析日" width="110" />
+      <el-table-column prop="target_date" label="目标日" width="110" />
+      <el-table-column prop="direction" label="方向" width="80">
+        <template #default="{ row }">
+          <el-tag :type="directionType(row.direction)" size="small">
+            {{ directionLabel(row.direction) }}
+          </el-tag>
+        </template>
+      </el-table-column>
+      <el-table-column prop="confidence" label="置信度" width="90" align="center">
+        <template #default="{ row }">
+          <span :style="{ color: row.confidence >= 70 ? '#67c23a' : row.confidence >= 50 ? '#e6a23c' : '#f56c6c', fontWeight: 'bold' }">
+            {{ row.confidence }}%
+          </span>
+        </template>
+      </el-table-column>
+      <el-table-column label="支撑位一" width="100" align="center">
+        <template #default="{ row }">{{ levelAt(row.support, 0) }}</template>
+      </el-table-column>
+      <el-table-column label="支撑位二" width="100" align="center">
+        <template #default="{ row }">{{ levelAt(row.support, 1) }}</template>
+      </el-table-column>
+      <el-table-column label="阻力位一" width="100" align="center">
+        <template #default="{ row }">{{ levelAt(row.resistance, 0) }}</template>
+      </el-table-column>
+      <el-table-column label="阻力位二" width="100" align="center">
+        <template #default="{ row }">{{ levelAt(row.resistance, 1) }}</template>
+      </el-table-column>
+      <el-table-column label="明细" width="80" align="center">
+        <template #default="{ row }">
+          <el-button type="primary" link size="small" @click.stop="openDrawer(row)">查看</el-button>
+        </template>
+      </el-table-column>
+    </el-table>
+
+    <el-drawer v-model="drawerOpen" :title="drawerTitle" size="480px" direction="rtl">
+      <template v-if="selectedRow">
+        <div class="drawer-section">
+          <div class="drawer-label">方向判断</div>
+          <el-tag :type="directionType(selectedRow.direction)" size="default">
+            {{ directionLabel(selectedRow.direction) }}
+          </el-tag>
+          <span class="drawer-confidence" :style="{ color: selectedRow.confidence >= 70 ? '#67c23a' : selectedRow.confidence >= 50 ? '#e6a23c' : '#f56c6c' }">
+            置信度 {{ selectedRow.confidence }}%
+          </span>
+        </div>
+
+        <div class="drawer-section">
+          <div class="drawer-label">支撑位</div>
+          <div class="level-rows">
+            <div v-for="(v, i) in parseLevels(selectedRow.support)" :key="'ds'+i" class="level-row sup">
+              <span class="level-tag">支撑{{ i + 1 }}</span>
+              <span class="level-val">{{ v }}</span>
+            </div>
+            <div v-if="!parseLevels(selectedRow.support).length" class="level-row">-</div>
+          </div>
+        </div>
+
+        <div class="drawer-section">
+          <div class="drawer-label">阻力位</div>
+          <div class="level-rows">
+            <div v-for="(v, i) in parseLevels(selectedRow.resistance)" :key="'dr'+i" class="level-row res">
+              <span class="level-tag">阻力{{ i + 1 }}</span>
+              <span class="level-val">{{ v }}</span>
+            </div>
+            <div v-if="!parseLevels(selectedRow.resistance).length" class="level-row">-</div>
+          </div>
+        </div>
+
+        <div class="drawer-section">
+          <div class="drawer-label">分析逻辑</div>
+          <div class="drawer-text">{{ selectedRow.reasoning || '-' }}</div>
+        </div>
+
+        <div class="drawer-section">
+          <div class="drawer-label">风险提示</div>
+          <div class="drawer-text risk">{{ selectedRow.risk_note || '-' }}</div>
+        </div>
+
+        <div class="drawer-section meta">
+          <span>分析日期：{{ selectedRow.trade_date }}</span>
+          <span>目标交易日：{{ selectedRow.target_date }}</span>
+        </div>
+      </template>
+    </el-drawer>
+  </div>
+</template>
+
+<style scoped>
+.daily-direction {
+  max-width: 1400px;
+}
+.toolbar {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  margin-bottom: 16px;
+}
+.toolbar h2 {
+  margin: 0;
+  font-size: 18px;
+}
+
+.drawer-section {
+  margin-bottom: 20px;
+}
+.drawer-label {
+  font-size: 13px;
+  color: var(--el-text-color-secondary);
+  margin-bottom: 8px;
+}
+.drawer-confidence {
+  margin-left: 12px;
+  font-size: 16px;
+  font-weight: bold;
+}
+.drawer-text {
+  font-size: 15px;
+  line-height: 1.8;
+  white-space: pre-wrap;
+  color: var(--el-text-color-primary);
+}
+.drawer-text.risk {
+  color: var(--el-color-warning);
+}
+
+.level-rows {
+  display: flex;
+  flex-direction: column;
+  gap: 8px;
+}
+.level-row {
+  display: flex;
+  align-items: center;
+  gap: 12px;
+}
+.level-tag {
+  font-size: 12px;
+  padding: 2px 10px;
+  border-radius: 4px;
+  font-weight: 600;
+  min-width: 54px;
+  text-align: center;
+}
+.level-row.sup .level-tag {
+  background: #ecf5ff;
+  color: #409eff;
+}
+.level-row.res .level-tag {
+  background: #fef0f0;
+  color: #f56c6c;
+}
+.level-val {
+  font-size: 20px;
+  font-weight: 700;
+  color: var(--el-text-color-primary);
+}
+
+.drawer-section.meta {
+  margin-top: 24px;
+  padding-top: 16px;
+  border-top: 1px solid var(--el-border-color-light);
+  display: flex;
+  gap: 24px;
+  font-size: 13px;
+  color: var(--el-text-color-secondary);
+}
+</style>
--- a/web/frontend/src/views/RunView.vue
+++ b/web/frontend/src/views/RunView.vue
@@ -3,9 +3,11 @@ import { nextTick, onMounted, reactive, ref, watch } from 'vue'
 import { ElMessage } from 'element-plus'
 import {
  runPipeline,
+  runRange,
  getActiveContract,
  type ActiveContract,
  type RunResponse,
+  type RunRangeResponse,
 } from '@/api/run'
 import { parseTsCode } from '@/utils/contract'
 import { useMobile } from '@/composables/useMobile'
@@ -14,6 +16,8 @@ const { isMobile } = useMobile()

 const SYMBOLS = ['FG', 'SA', 'RB', 'MA', 'CF', 'M']

+const mode = ref<'single' | 'range'>('single')
+
 const form = reactive<{
  symbol: string
  trade_date: string
@@ -22,20 +26,32 @@ const form = reactive<{
  trade_date: '',
 })

+const range = reactive<{
+  dates: [string, string] | []
+}>({
+  dates: [],
+})
+
 const active = ref<ActiveContract | null>(null)
 const activeLoading = ref(false)
 const loading = ref(false)
 const result = ref<RunResponse | null>(null)
+const rangeResult = ref<RunRangeResponse | null>(null)
 const resultRef = ref<HTMLElement | null>(null)

 async function loadActive() {
  activeLoading.value = true
  try {
    active.value = await getActiveContract(form.symbol)
-    // 切换品种后,如果原日期落在新合约的可选范围之外,清空它
    if (form.trade_date && !isDateAllowed(toDate(form.trade_date))) {
      form.trade_date = ''
    }
+    if (Array.isArray(range.dates) && range.dates.length === 2) {
+      const [s, e] = range.dates
+      if (!isDateAllowed(toDate(s)) || !isDateAllowed(toDate(e))) {
+        range.dates = []
+      }
+    }
  } catch (err: any) {
    active.value = null
    ElMessage.error(err?.response?.data?.error || '加载主力合约失败')
@@ -45,17 +61,15 @@ async function loadActive() {
 }

 function toDate(s: string) {
-  // s 形如 'YYYY-MM-DD'
  const [y, m, d] = s.split('-').map(Number)
  return new Date(y, m - 1, d)
 }

 function isDateAllowed(d: Date): boolean {
  if (!active.value) return true
-  const min = toDate(active.value.min_date).getTime()
  const max = toDate(active.value.max_date).getTime()
  const t = d.getTime()
-  return t >= min && t <= max
+  return t <= max
 }

 function disabledDate(d: Date) {
@@ -69,12 +83,29 @@ async function submit() {
  }
  loading.value = true
  result.value = null
+  rangeResult.value = null
  try {
-    const req: { symbol: string; trade_date?: string } = { symbol: form.symbol }
-    if (form.trade_date) req.trade_date = form.trade_date.replace(/-/g, '')
-    const resp = await runPipeline(req)
-    result.value = resp
-    ElMessage.success('打分完成')
+    if (mode.value === 'single') {
+      const req: { symbol: string; trade_date?: string } = { symbol: form.symbol }
+      if (form.trade_date) req.trade_date = form.trade_date.replace(/-/g, '')
+      const resp = await runPipeline(req)
+      result.value = resp
+      ElMessage.success('打分完成')
+    } else {
+      if (!Array.isArray(range.dates) || range.dates.length !== 2) {
+        ElMessage.warning('请选择日期区间')
+        loading.value = false
+        return
+      }
+      const [start, end] = range.dates
+      const resp = await runRange({
+        symbol: form.symbol,
+        start_date: start.replace(/-/g, ''),
+        end_date: end.replace(/-/g, ''),
+      })
+      rangeResult.value = resp
+      ElMessage.success(`区间打分完成，成功 ${resp.scored} 条`)
+    }
    await nextTick()
    resultRef.value?.scrollIntoView({ behavior: 'smooth', block: 'start' })
  } catch (err: any) {
@@ -104,21 +135,18 @@ onMounted(loadActive)
        <span>手动打分</span>
      </template>
      <el-form :model="form" label-width="100px" style="max-width: 480px">
+        <el-form-item label="模式">
+          <el-radio-group v-model="mode">
+            <el-radio-button label="single">单日打分</el-radio-button>
+            <el-radio-button label="range">区间打分</el-radio-button>
+          </el-radio-group>
+        </el-form-item>
        <el-form-item label="品种">
          <el-select v-model="form.symbol" :loading="activeLoading" style="width: 100%">
            <el-option v-for="s in SYMBOLS" :key="s" :label="s" :value="s" />
          </el-select>
        </el-form-item>
-        <el-form-item label="主力合约">
-          <span v-if="active">
-            {{ parseTsCode(active.ts_code).contract }}
-            <el-text type="info" size="small" style="margin-left: 8px">
-              ({{ active.ts_code }})
-            </el-text>
-          </span>
-          <el-text v-else type="info">加载中…</el-text>
-        </el-form-item>
-        <el-form-item label="打分日期">
+        <el-form-item v-if="mode === 'single'" label="打分日期">
          <el-date-picker
            v-model="form.trade_date"
            type="date"
@@ -129,9 +157,23 @@ onMounted(loadActive)
            style="width: 100%"
          />
        </el-form-item>
+        <el-form-item v-else label="日期区间">
+          <el-date-picker
+            v-model="range.dates"
+            type="daterange"
+            :placeholder="active ? `${active.min_date} ~ ${active.max_date}` : '加载中…'"
+            value-format="YYYY-MM-DD"
+            :disabled-date="disabledDate"
+            :disabled="!active"
+            range-separator="→"
+            start-placeholder="开始"
+            end-placeholder="结束"
+            style="width: 100%"
+          />
+        </el-form-item>
        <el-form-item>
          <el-button type="primary" :loading="loading" :disabled="!active" @click="submit">
-            执行打分
+            {{ mode === 'single' ? '执行打分' : '批量打分' }}
          </el-button>
        </el-form-item>
      </el-form>
@@ -160,6 +202,41 @@ onMounted(loadActive)
        </el-descriptions>
      </el-card>
    </div>
+
+    <div v-if="rangeResult" ref="resultRef">
+      <el-card shadow="never" class="result-card">
+        <template #header>
+          <span>区间打分结果</span>
+        </template>
+        <el-descriptions :column="isMobile ? 1 : 2" border>
+          <el-descriptions-item label="合约">{{ parseTsCode(rangeResult.ts_code).symbol }}</el-descriptions-item>
+          <el-descriptions-item label="区间">{{ rangeResult.start_date }} ~ {{ rangeResult.end_date }}</el-descriptions-item>
+          <el-descriptions-item label="成功">{{ rangeResult.scored }} 条</el-descriptions-item>
+          <el-descriptions-item label="跳过">{{ rangeResult.skipped }} 条</el-descriptions-item>
+        </el-descriptions>
+        <el-alert
+          v-if="rangeResult.warnings.length > 0"
+          :title="`警告 (${rangeResult.warnings.length} 条)`"
+          type="warning"
+          :closable="false"
+          style="margin-top: 12px"
+        >
+          <div style="max-height: 120px; overflow-y: auto">
+            <div v-for="(w, i) in rangeResult.warnings" :key="i" style="font-size: 12px">{{ w }}</div>
+          </div>
+        </el-alert>
+        <el-table :data="rangeResult.results" stripe style="margin-top: 16px" max-height="400">
+          <el-table-column prop="trade_date" label="日期" width="110" />
+          <el-table-column prop="close" label="收盘" width="90" />
+          <el-table-column prop="composite" label="综合" width="80" />
+          <el-table-column label="信号">
+            <template #default="{ row }">
+              <el-tag :type="signalTagType(row.signal)" size="small">{{ row.signal }}</el-tag>
+            </template>
+          </el-table-column>
+        </el-table>
+      </el-card>
+    </div>
  </div>
 </template>

@@ -169,4 +246,7 @@ onMounted(loadActive)
  flex-direction: column;
  gap: 16px;
 }
+.result-card {
+  margin-top: 8px;
+}
 </style>
--- a/web/frontend/src/views/ScoresView.vue
+++ b/web/frontend/src/views/ScoresView.vue
@@ -1,48 +1,62 @@
 <script setup lang="ts">
-import { onMounted, reactive, ref } from 'vue'
-import { listContracts, listScores, type Score } from '@/api/scores'
+import { nextTick, onMounted, reactive, ref, watch, computed } from 'vue'
+import { marked } from 'marked'
+import { ElMessage } from 'element-plus'
+import { listScores, listContracts, type Score } from '@/api/scores'
+import { runPipeline, type RunResponse } from '@/api/run'
 import ScoreDetailDrawer from '@/components/ScoreDetailDrawer.vue'
 import { parseTsCode } from '@/utils/contract'
 import { useMobile } from '@/composables/useMobile'

 const { isMobile } = useMobile()

-const filter = reactive<{
-  ts_code?: string
-  range: [string, string] | []
-  signal?: string
-  limit: number
-}>({
-  ts_code: undefined,
-  range: [],
-  signal: undefined,
-  limit: 200,
-})
+const EXCHANGES = [
+  { code: 'ZCE', name: '郑商所' },
+  { code: 'SHF', name: '上期所' },
+  { code: 'DCE', name: '大商所' },
+]

-const contracts = ref<string[]>([])
-const rows = ref<Score[]>([])
-const loading = ref(false)
-const drawerScoreId = ref<number | null>(null)
-
-async function reload(silent = false) {
-  if (!silent) loading.value = true
-  try {
-    const [start, end] = filter.range || []
-    rows.value = await listScores({
-      ts_code: filter.ts_code,
-      start: start || undefined,
-      end: end || undefined,
-      signal: filter.signal,
-      limit: filter.limit,
-    })
-  } finally {
-    if (!silent) loading.value = false
-  }
+const SYMBOLS_BY_EXCHANGE: Record<string, string[]> = {
+  ZCE: ['FG', 'SA', 'MA', 'CF'],
+  SHF: ['RB'],
+  DCE: ['M'],
 }

-function toggleSignal(s: string) {
-  filter.signal = filter.signal === s ? undefined : s
-  reload(true)
+// 品种打分
+const selectedExchange = ref('')
+const selectedSymbol = ref('')
+const scoring = ref(false)
+const scoreResult = ref<RunResponse | null>(null)
+const resultRef = ref<HTMLElement | null>(null)
+
+const availableSymbols = computed(() => {
+  if (!selectedExchange.value) return []
+  return SYMBOLS_BY_EXCHANGE[selectedExchange.value] || []
+})
+
+watch(selectedExchange, () => {
+  selectedSymbol.value = ''
+})
+
+async function handleScore() {
+  if (!selectedSymbol.value) {
+    ElMessage.warning('请选择品种')
+    return
+  }
+  scoring.value = true
+  scoreResult.value = null
+  try {
+    const resp = await runPipeline({ symbol: selectedSymbol.value })
+    scoreResult.value = resp
+    ElMessage.success('打分完成')
+    await nextTick()
+    resultRef.value?.scrollIntoView({ behavior: 'smooth', block: 'start' })
+  } catch (err: any) {
+    const msg = err?.response?.data?.error || err.message || '请求失败'
+    ElMessage.error(msg)
+  } finally {
+    scoring.value = false
+  }
 }

 function signalTagType(s: string) {
@@ -53,116 +67,309 @@ function signalTagType(s: string) {
  return 'info'
 }

+function signalIcon(s: string) {
+  if (s.includes('强烈看多')) return '📈📈'
+  if (s.includes('偏多')) return '📈'
+  if (s.includes('偏空')) return '📉'
+  if (s.includes('强烈看空')) return '📉📉'
+  return ''
+}
+
+// AI 分析
+const aiLoading = ref(false)
+const aiContent = ref('')
+const aiError = ref('')
+let aiES: EventSource | null = null
+
+function closeAI() {
+  aiES?.close()
+  aiES = null
+  aiLoading.value = false
+}
+
+async function askAI() {
+  if (!scoreResult.value) return
+  closeAI()
+  aiLoading.value = true
+  aiContent.value = ''
+  aiError.value = ''
+
+  const ts = encodeURIComponent(scoreResult.value.ts_code)
+  const td = encodeURIComponent(scoreResult.value.trade_date)
+  aiES = new EventSource(`/api/ai/analyze?ts_code=${ts}&trade_date=${td}`)
+  aiES.addEventListener('token', (e) => { aiContent.value += e.data })
+  aiES.addEventListener('error', (e) => {
+    aiError.value = (e as any)?.data || '请求失败'
+    closeAI()
+  })
+  aiES.addEventListener('done', () => closeAI())
+  aiES.onerror = () => {
+    if (!aiContent.value && !aiError.value) aiError.value = '连接中断'
+    closeAI()
+  }
+}
+
+// 历史查询（折叠）
+const showHistory = ref(false)
+const historyFilter = reactive<{
+  ts_code?: string
+  range: [string, string] | []
+  signal?: string
+  limit: number
+}>({
+  ts_code: undefined,
+  range: [],
+  signal: undefined,
+  limit: 50,
+})
+
+const contracts = ref<string[]>([])
+const historyRows = ref<Score[]>([])
+const historyLoading = ref(false)
+const drawerScoreId = ref<number | null>(null)
+
+async function reloadHistory(silent = false) {
+  if (!silent) historyLoading.value = true
+  try {
+    const [start, end] = historyFilter.range || []
+    historyRows.value = await listScores({
+      ts_code: historyFilter.ts_code,
+      start: start || undefined,
+      end: end || undefined,
+      signal: historyFilter.signal,
+      limit: historyFilter.limit,
+    })
+  } finally {
+    if (!silent) historyLoading.value = false
+  }
+}
+
+function toggleSignal(s: string) {
+  historyFilter.signal = historyFilter.signal === s ? undefined : s
+  reloadHistory(true)
+}
+
 onMounted(async () => {
  contracts.value = await listContracts().catch(() => [])
-  await reload()
 })
 </script>

 <template>
  <div class="page">
-    <el-card shadow="never" class="filter-card">
+    <!-- 品种打分 -->
+    <el-card shadow="never">
+      <template #header>
+        <span>品种打分</span>
+      </template>
      <el-form :inline="!isMobile">
-        <el-form-item label="合约">
+        <el-form-item label="交易所">
          <el-select
-            v-model="filter.ts_code"
-            placeholder="全部合约"
+            v-model="selectedExchange"
+            placeholder="选择交易所"
            clearable
-            filterable
-            :style="{ width: isMobile ? '100%' : '200px' }"
+            :style="{ width: isMobile ? '100%' : '160px' }"
          >
-            <el-option v-for="c in contracts" :key="c" :label="c" :value="c" />
+            <el-option
+              v-for="ex in EXCHANGES"
+              :key="ex.code"
+              :label="ex.name"
+              :value="ex.code"
+            />
          </el-select>
        </el-form-item>
-        <el-form-item label="日期">
-          <el-date-picker
-            v-model="filter.range"
-            type="daterange"
-            value-format="YYYYMMDD"
-            range-separator="→"
-            start-placeholder="起"
-            end-placeholder="止"
-            :style="{ width: isMobile ? '100%' : 'auto' }"
-          />
-        </el-form-item>
-        <el-form-item label="条数">
-          <el-input-number v-model="filter.limit" :min="10" :max="500" :step="50" />
+        <el-form-item label="品种">
+          <el-select
+            v-model="selectedSymbol"
+            placeholder="选择品种"
+            :disabled="!selectedExchange"
+            :style="{ width: isMobile ? '100%' : '120px' }"
+          >
+            <el-option
+              v-for="s in availableSymbols"
+              :key="s"
+              :label="s"
+              :value="s"
+            />
+          </el-select>
        </el-form-item>
        <el-form-item>
-          <el-button type="primary" :loading="loading" style="width: 88px" @click="reload">查询</el-button>
-        </el-form-item>
-        <el-form-item label="快捷" class="signal-item">
-          <el-button-group class="signal-group" :size="isMobile ? 'small' : 'default'">
-            <el-button
-              :type="filter.signal === '强烈看多' ? 'success' : ''"
-              @click="toggleSignal('强烈看多')"
-            >
-              强烈看多
-            </el-button>
-            <el-button
-              :type="filter.signal === '偏多' ? 'primary' : ''"
-              @click="toggleSignal('偏多')"
-            >
-              偏多
-            </el-button>
-            <el-button
-              :type="filter.signal === '偏空' ? 'warning' : ''"
-              @click="toggleSignal('偏空')"
-            >
-              偏空
-            </el-button>
-            <el-button
-              :type="filter.signal === '强烈看空' ? 'danger' : ''"
-              @click="toggleSignal('强烈看空')"
-            >
-              强烈看空
-            </el-button>
-          </el-button-group>
+          <el-button
+            type="primary"
+            :loading="scoring"
+            :disabled="!selectedSymbol"
+            @click="handleScore"
+          >
+            打分
+          </el-button>
        </el-form-item>
      </el-form>
    </el-card>

-    <div class="table-wrapper" v-loading="loading">
-      <el-table :data="rows" stripe class="score-table">
-        <el-table-column prop="trade_date" label="日期" width="100" />
-        <el-table-column label="品种" width="80">
-          <template #default="{ row }">
-            {{ parseTsCode(row.ts_code).symbol }}
-          </template>
-        </el-table-column>
-        <el-table-column label="合约" width="80">
-          <template #default="{ row }">
-            {{ parseTsCode(row.ts_code).contract }}
-          </template>
-        </el-table-column>
-        <el-table-column prop="close" label="收盘" width="90" />
-        <el-table-column prop="oi" label="持仓" width="100" />
-        <el-table-column prop="oi_chg" label="持仓变化" width="100" />
-        <el-table-column prop="short_term" label="短期(7d)" width="90" />
-        <el-table-column prop="medium_term" label="中期(15d)" width="90" />
-        <el-table-column prop="long_term" label="长期(30d)" width="90" />
-        <el-table-column prop="composite" label="综合" width="80">
-          <template #default="{ row }">
-            <strong>{{ row.composite.toFixed(2) }}</strong>
-          </template>
-        </el-table-column>
-        <el-table-column prop="signal" label="信号" min-width="160">
-          <template #default="{ row }">
-            <el-tag :type="signalTagType(row.signal)">{{ row.signal }}</el-tag>
-          </template>
-        </el-table-column>
-        <el-table-column label="操作" width="80" fixed="right">
-          <template #default="{ row }">
-            <el-button type="primary" link @click="drawerScoreId = row.id">明细</el-button>
-          </template>
-        </el-table-column>
-      </el-table>
+    <!-- 打分结果 -->
+    <div v-if="scoreResult" ref="resultRef">
+      <el-card shadow="never" class="result-card">
+        <template #header>
+          <span>打分结果</span>
+        </template>
+        <el-descriptions :column="isMobile ? 1 : 2" border>
+          <el-descriptions-item label="品种">
+            {{ parseTsCode(scoreResult.ts_code).symbol }}
+          </el-descriptions-item>
+          <el-descriptions-item label="合约">
+            {{ parseTsCode(scoreResult.ts_code).contract }}
+          </el-descriptions-item>
+          <el-descriptions-item label="日期">{{ scoreResult.trade_date }}</el-descriptions-item>
+          <el-descriptions-item label="收盘">{{ scoreResult.close }}</el-descriptions-item>
+          <el-descriptions-item label="持仓">{{ scoreResult.oi }}</el-descriptions-item>
+          <el-descriptions-item label="短期(7d)">{{ scoreResult.short_term }}</el-descriptions-item>
+          <el-descriptions-item label="中期(15d)">{{ scoreResult.medium_term }}</el-descriptions-item>
+          <el-descriptions-item label="长期(30d)">{{ scoreResult.long_term }}</el-descriptions-item>
+          <el-descriptions-item label="综合">
+            <strong>{{ scoreResult.composite }}</strong>
+          </el-descriptions-item>
+          <el-descriptions-item label="信号" :span="isMobile ? 1 : 2">
+            <el-tag :type="signalTagType(scoreResult.signal)">
+              {{ signalIcon(scoreResult.signal) }} {{ scoreResult.signal }}
+            </el-tag>
+          </el-descriptions-item>
+        </el-descriptions>
+
+        <div class="ai-section">
+          <el-button
+            v-if="!aiLoading && !aiContent && !aiError"
+            type="primary"
+            :loading="aiLoading"
+            @click="askAI"
+          >
+            🤖 AI 分析当前打分
+          </el-button>
+          <div v-if="aiLoading || aiContent || aiError" class="ai-card">
+            <div class="ai-header">
+              <span>🤖 AI 分析</span>
+              <el-button v-if="aiLoading" text size="small" @click="closeAI">取消</el-button>
+            </div>
+            <div class="ai-body">
+              <div v-if="aiContent" class="ai-text" v-html="marked(aiContent)" />
+              <div v-if="aiError" class="ai-error">{{ aiError }}</div>
+              <div v-if="aiLoading && !aiContent" class="ai-loading">⏳ 正在分析...</div>
+            </div>
+          </div>
+        </div>
+      </el-card>
    </div>

-    <ScoreDetailDrawer
-      :score-id="drawerScoreId"
-      @close="drawerScoreId = null"
-    />
+    <!-- 历史查询（折叠） -->
+    <el-card shadow="never">
+      <template #header>
+        <div class="history-header" @click="showHistory = !showHistory">
+          <span>历史打分查询</span>
+          <span>{{ showHistory ? '▲' : '▼' }}</span>
+        </div>
+      </template>
+      <div v-if="showHistory">
+        <el-form :inline="!isMobile">
+          <el-form-item label="合约">
+            <el-select
+              v-model="historyFilter.ts_code"
+              placeholder="全部合约"
+              clearable
+              filterable
+              :style="{ width: isMobile ? '100%' : '200px' }"
+            >
+              <el-option v-for="c in contracts" :key="c" :label="c" :value="c" />
+            </el-select>
+          </el-form-item>
+          <el-form-item label="日期">
+            <el-date-picker
+              v-model="historyFilter.range"
+              type="daterange"
+              value-format="YYYYMMDD"
+              range-separator="→"
+              start-placeholder="起"
+              end-placeholder="止"
+              :style="{ width: isMobile ? '100%' : 'auto' }"
+            />
+          </el-form-item>
+          <el-form-item label="条数">
+            <el-input-number v-model="historyFilter.limit" :min="10" :max="500" :step="50" />
+          </el-form-item>
+          <el-form-item>
+            <el-button type="primary" :loading="historyLoading" style="width: 88px" @click="reloadHistory">
+              查询
+            </el-button>
+          </el-form-item>
+          <el-form-item label="快捷" class="signal-item">
+            <el-button-group class="signal-group" :size="isMobile ? 'small' : 'default'">
+              <el-button
+                :type="historyFilter.signal === '强烈看多' ? 'success' : ''"
+                @click="toggleSignal('强烈看多')"
+              >
+                强烈看多
+              </el-button>
+              <el-button
+                :type="historyFilter.signal === '偏多' ? 'primary' : ''"
+                @click="toggleSignal('偏多')"
+              >
+                偏多
+              </el-button>
+              <el-button
+                :type="historyFilter.signal === '偏空' ? 'warning' : ''"
+                @click="toggleSignal('偏空')"
+              >
+                偏空
+              </el-button>
+              <el-button
+                :type="historyFilter.signal === '强烈看空' ? 'danger' : ''"
+                @click="toggleSignal('强烈看空')"
+              >
+                强烈看空
+              </el-button>
+            </el-button-group>
+          </el-form-item>
+        </el-form>
+
+        <div class="table-wrapper" v-loading="historyLoading">
+          <el-table :data="historyRows" stripe class="score-table">
+            <el-table-column prop="trade_date" label="日期" width="100" />
+            <el-table-column label="品种" width="80">
+              <template #default="{ row }">
+                {{ parseTsCode(row.ts_code).symbol }}
+              </template>
+            </el-table-column>
+            <el-table-column label="合约" width="80">
+              <template #default="{ row }">
+                {{ parseTsCode(row.ts_code).contract }}
+              </template>
+            </el-table-column>
+            <el-table-column prop="close" label="收盘" width="90" />
+            <el-table-column prop="oi" label="持仓" width="100" />
+            <el-table-column prop="oi_chg" label="持仓变化" width="100" />
+            <el-table-column prop="short_term" label="短期(7d)" width="90" />
+            <el-table-column prop="medium_term" label="中期(15d)" width="90" />
+            <el-table-column prop="long_term" label="长期(30d)" width="90" />
+            <el-table-column prop="composite" label="综合" width="80">
+              <template #default="{ row }">
+                <strong>{{ row.composite.toFixed(2) }}</strong>
+              </template>
+            </el-table-column>
+            <el-table-column prop="signal" label="信号" min-width="160">
+              <template #default="{ row }">
+                <el-tag :type="signalTagType(row.signal)">
+                  {{ signalIcon(row.signal) }} {{ row.signal }}
+                </el-tag>
+              </template>
+            </el-table-column>
+            <el-table-column label="操作" width="80" fixed="right">
+              <template #default="{ row }">
+                <el-button type="primary" link @click="drawerScoreId = row.id">明细</el-button>
+              </template>
+            </el-table-column>
+          </el-table>
+        </div>
+      </div>
+    </el-card>
+
+    <ScoreDetailDrawer :score-id="drawerScoreId" @close="drawerScoreId = null" />
  </div>
 </template>

@@ -172,6 +379,45 @@ onMounted(async () => {
  flex-direction: column;
  gap: 12px;
 }
+.result-card {
+  margin-top: 4px;
+}
+.ai-section {
+  margin-top: 12px;
+}
+.ai-card {
+  border: 1px solid var(--el-border-color);
+  border-radius: 6px;
+  margin-top: 8px;
+  overflow: hidden;
+}
+.ai-header {
+  display: flex;
+  justify-content: space-between;
+  align-items: center;
+  padding: 8px 12px;
+  background: var(--el-fill-color-light);
+  font-weight: 600;
+}
+.ai-body {
+  padding: 12px;
+}
+.ai-text {
+  line-height: 1.5;
+}
+.ai-error {
+  color: var(--el-color-danger);
+}
+.ai-loading {
+  color: var(--el-text-color-secondary);
+}
+.history-header {
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  cursor: pointer;
+  user-select: none;
+}
 .filter-card :deep(.el-card__body) {
  padding: 12px 16px;
 }
@@ -201,3 +447,12 @@ onMounted(async () => {
  }
 }
 </style>
+
+<style>
+/* AI Markdown 输出段落间距（非 scoped，确保 v-html 生效） */
+.ai-text p { margin: 3px 0; }
+.ai-text h1, .ai-text h2, .ai-text h3, .ai-text h4 { margin: 16px 0 6px; font-size: inherit; }
+.ai-text ul, .ai-text ol { margin: 3px 0; padding-left: 18px; }
+.ai-text li { margin: 1px 0; }
+.ai-text strong { color: var(--el-color-primary, #409eff); }
+</style>
Author	SHA1	Message	Date
fish	947e227d5f	支撑位和阻力位列内容居中展示	2026-05-11 22:42:28 +08:00
fish	5dad7a6a02	表格支撑位和阻力位拆为四列：支撑位一/二、阻力位一/二	2026-05-11 22:21:21 +08:00
fish	b91bffdb4c	支撑位和阻力位改为逐个标注：表格用S1/R1标签，抽屉分开展示每层价位	2026-05-11 22:07:36 +08:00
fish	e756c3f300	列表页移除分析逻辑和风险提示列，改为查看按钮引导至抽屉明细	2026-05-11 21:44:46 +08:00
fish	bd48887b88	日内方向分析详情改用抽屉面板展示，点击表格行查看完整逻辑与风险提示	2026-05-11 21:39:21 +08:00
fish	5c30bfa472	日内方向分析按钮自动先执行批量打分再调用AI分析	2026-05-11 21:23:53 +08:00
fish	f5615d9580	新增日内方向分析功能：基于三层打分数据由 AI 批量生成下一个交易日方向判断	2026-05-11 21:18:29 +08:00
fish	6ab310cfb3	AI报告第4点改为支撑与阻力专节，喂入30日K线数据，Go构建加goproxy镜像	2026-05-10 18:03:10 +08:00
fish	c47735f3b6	AI分析Markdown样式优化：紧凑段落间距、标题上下留白、npm淘宝镜像	2026-05-10 17:45:58 +08:00
fish	1d1a6d6cdf	AI分析Markdown渲染间距优化，去除pre-wrap双重间距；Dockerfile npm换国内镜像 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-10 17:32:49 +08:00
fish	04636c53d8	AI分析内容支持Markdown渲染，标题、列表、加粗正常显示	2026-05-10 17:21:52 +08:00
fish	4cdc542291	修复AI分析SSE流断开：中间件透传Flusher、DB Key生效、错误提示不覆盖	2026-05-10 17:11:51 +08:00
fish	1094e82e88	品种打分结果卡增加AI分析入口，打完分可直接问AI	2026-05-10 16:31:26 +08:00
fish	99c2a5bcbf	AI分析功能：LLM Key 改为数据库管理，支持管理员后台配置	2026-05-10 16:21:15 +08:00
fish	ad9edf7ad4	K线图参数标题汉化：Y轴标签、Tooltip OHLC 字段改为中文	2026-05-10 15:59:36 +08:00
fish	819b327cdb	打分算法全面改进：修复方向性bug，引入自适应权重与分数动量	2026-05-10 15:52:03 +08:00
fish	f2e4bf7041	打分请求超时时间延长至 60 秒 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-10 15:19:37 +08:00
fish	e6351750cf	打分列表改为品种打分，移除同步数据功能 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-10 15:19:00 +08:00
fish	465feaa833	修复 NaN 值导致 JSON 序列化失败、K 线数据无法展示 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 23:02:39 +08:00
fish	f7b60659ab	修复 Tushare 返回的 ts_code 缺少交易所后缀导致查不到数据 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 22:56:19 +08:00
fish	fef806f796	合约全景刷新时自动拉取打分，并同步回写完整合约代码 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 22:49:33 +08:00
fish	512d43121c	合约全景功能独立为单独菜单，与原 K 线页面分离 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 22:44:46 +08:00
fish	01309dd8ff	支持短合约代码自动补全交易所后缀 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 22:31:45 +08:00
fish	ee3acd1c4d	新增合约全历史拉取与 K 线打分叠加功能 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 22:29:00 +08:00
fish	9d2997a3cb	手动打分页面移除主力合约展示 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 21:58:33 +08:00
fish	cdf793608d	区间打分根据用户选择日期自动判断主力合约，放宽前端日期限制支持历史区间 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 21:48:20 +08:00
fish	c54ba5a470	修复区间打分 422 错误：Go 后端新增 runRangeRequest 结构体正确透传 start_date/end_date Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 21:41:51 +08:00
fish	01edda923a	新增自定义时间段批量打分功能：支持设置日期区间，对区间内每天自动拉取数据并打分 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-07 21:37:20 +08:00
fish	7aa74dc9bc	同步数据功能改为仅管理员可见 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-05 15:07:57 +08:00
fish	b1f824b06d	批量打分接口超时时间从15s增加到180s，避免6品种同步时超时 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:29:48 +08:00
fish	d217628ccf	文档同步：补充同步数据、数据重置功能说明 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:27:45 +08:00
fish	cff4319321	新增手动同步数据功能：点击侧边栏"同步数据"调用批量打分接口，完成后跳转打分列表并刷新 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:26:04 +08:00
fish	a7e1c9f416	重置成功后自动跳转打分列表并刷新页面 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:22:33 +08:00
fish	fa5fa07ef6	新增数据重置功能：管理员可一键清空所有行情数据，需输入确认文字防误操作 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:20:07 +08:00
fish	7b6732488a	同步文档：更新三层打分模型描述，反映短期幅度因子、中期连续化、长期价格维度、波动率调整等新逻辑 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 23:08:20 +08:00
fish	76ddc495c1	优化三层打分模型：短期引入幅度因子与量能确认，中期资金信号连续化，长期加入价格维度，新增波动率调整 Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>	2026-05-04 22:57:45 +08:00
fish	23a1149c5f	打分列表信号列增加趋势图标	2026-05-04 21:42:56 +08:00