{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "intro",
   "metadata": {
    "papermill": {
     "duration": 0.002067,
     "end_time": "2026-10-29T21:45:43.643226+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:43.641159+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "# 국내 선행 시장 확산 대시보드\n",
    "\n",
    "시장보다 먼저 움직이는 **수요·기업 전망·수주**의 확산과, 뒤따라오는 **가격·수급 확인**, 그리고 **리스크 게이트**를 분리해 봅니다.\n",
    "\n",
    "- 선행 점수에는 주가 상대수익률을 넣지 않습니다.\n",
    "- 종목은 먼저 WICS 업종별로 집계한 뒤 업종 동일가중합니다.\n",
    "- 미수집 데이터는 0점이 아니라 가중치에서 제외합니다.\n",
    "- 모든 점수는 표본수·업종수·매핑 커버리지와 함께 해석합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "setup",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:43.646607Z",
     "iopub.status.busy": "2026-10-29T21:45:43.646505Z",
     "iopub.status.idle": "2026-10-29T21:45:45.755900Z",
     "shell.execute_reply": "2026-10-29T21:45:45.755258Z"
    },
    "papermill": {
     "duration": 2.115109,
     "end_time": "2026-10-29T21:45:45.759622+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:43.644513+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "import json\n",
    "import sys\n",
    "from pathlib import Path\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "from IPython.display import HTML, Markdown, display\n",
    "\n",
    "plt.rcParams['font.family'] = 'Apple SD Gothic Neo'\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.rcParams['figure.facecolor'] = 'white'\n",
    "plt.rcParams['axes.facecolor'] = 'white'\n",
    "\n",
    "GREEN = '#247a5a'\n",
    "AMBER = '#c48b25'\n",
    "RED = '#c2413b'\n",
    "BLUE = '#3972a8'\n",
    "SLATE = '#64748b'\n",
    "LIGHT = '#e8edf2'\n",
    "\n",
    "PROJECT_ROOT = Path('/Users/seog-yejun/projects/predict/QuantAgent')\n",
    "OUTPUT_PATH = Path('/Users/loonshots/룬샤시_공시정리/태버지/kr_leading_market_latest.json')\n",
    "if str(PROJECT_ROOT) not in sys.path:\n",
    "    sys.path.insert(0, str(PROJECT_ROOT))\n",
    "\n",
    "from kr_leading_market import compute_kr_leading_market\n",
    "\n",
    "result = compute_kr_leading_market()\n",
    "payload = result.payload\n",
    "OUTPUT_PATH.write_text(json.dumps(payload, ensure_ascii=False, indent=2), encoding='utf-8')\n",
    "component_payload = payload['components']\n",
    "sector_name_map = {row['sector_code']: row['sector'] for row in payload['sector_breakdown']}\n",
    "\n",
    "def score_color(value, reverse=False):\n",
    "    if value is None or pd.isna(value):\n",
    "        return SLATE\n",
    "    if reverse:\n",
    "        return GREEN if value < 45 else AMBER if value < 70 else RED\n",
    "    return RED if value < 45 else AMBER if value < 60 else GREEN\n",
    "\n",
    "def finish_axis(ax, xlim=(0, 100), xlabel='점수'):\n",
    "    ax.set_xlim(*xlim)\n",
    "    ax.set_xlabel(xlabel)\n",
    "    ax.grid(axis='x', alpha=0.18)\n",
    "    ax.spines[['top', 'right', 'left']].set_visible(False)\n",
    "\n",
    "def label_bars(ax, values, fmt='{:.1f}', offset=1.0):\n",
    "    for patch, value in zip(ax.patches, values):\n",
    "        if value is None or pd.isna(value):\n",
    "            continue\n",
    "        ax.text(patch.get_width() + offset, patch.get_y() + patch.get_height()/2,\n",
    "                fmt.format(value), va='center', fontsize=9)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "executive-summary",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:45.772321Z",
     "iopub.status.busy": "2026-10-29T21:45:45.772156Z",
     "iopub.status.idle": "2026-10-29T21:45:45.890660Z",
     "shell.execute_reply": "2026-10-29T21:45:45.890320Z"
    },
    "papermill": {
     "duration": 0.122684,
     "end_time": "2026-10-29T21:45:45.891280+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:45.768596+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       ".kr-grid {display:grid;grid-template-columns:repeat(4,minmax(150px,1fr));gap:14px;margin:12px 0 20px;}\n",
       ".kr-card {border:1px solid #dbe3ea;border-radius:12px;padding:16px 18px;background:#fff;box-shadow:0 2px 8px rgba(15,23,42,.05);}\n",
       ".kr-label {font-size:13px;color:#64748b;margin-bottom:6px;}\n",
       ".kr-value {font-size:30px;font-weight:700;line-height:1.1;}\n",
       ".kr-sub {font-size:12px;color:#64748b;margin-top:7px;}\n",
       ".kr-verdict {border-left:5px solid #c2413b;padding:13px 16px;background:#f8fafc;margin:8px 0 18px;}\n",
       "@media(max-width:850px) {.kr-grid{grid-template-columns:repeat(2,1fr);}}\n",
       "</style>\n",
       "<div class=\"kr-grid\">\n",
       " <div class=\"kr-card\"><div class=\"kr-label\">선행 펀더멘털</div><div class=\"kr-value\" style=\"color:#247a5a\">67.9</div><div class=\"kr-sub\">가격 제외 · 100점 기준</div></div>\n",
       " <div class=\"kr-card\"><div class=\"kr-label\">가격·수급 확인</div><div class=\"kr-value\" style=\"color:#c2413b\">23.1</div><div class=\"kr-sub\">선행 점수와 별도</div></div>\n",
       " <div class=\"kr-card\"><div class=\"kr-label\">리스크 스트레스</div><div class=\"kr-value\" style=\"color:#c2413b\">87</div><div class=\"kr-sub\">높을수록 위험</div></div>\n",
       " <div class=\"kr-card\"><div class=\"kr-label\">선행 데이터 가용도</div><div class=\"kr-value\" style=\"color:#3972a8\">100%</div><div class=\"kr-sub\">설계 가중치 기준</div></div>\n",
       "</div>\n",
       "<div class=\"kr-verdict\"><b>리스크오프 속 선행지표 관찰</b><br>펀더멘털 선행 신호와 무관하게 변동성·레버리지 스트레스가 높아 가격 확인을 기다려야 합니다.<br><span style=\"color:#64748b;font-size:12px\">리스크 근거: V-KOSPI 35 이상</span></div>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1100x280 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "leading = payload['leading_score']\n",
    "price = payload['price_confirmation'].get('score')\n",
    "risk = payload['risk'].get('stress_score')\n",
    "coverage = payload['leading_score_coverage']\n",
    "risk_reasons = ' · '.join(payload['risk_reasons']) or '특이 리스크 없음'\n",
    "\n",
    "display(HTML(f'''\n",
    "<style>\n",
    ".kr-grid {{display:grid;grid-template-columns:repeat(4,minmax(150px,1fr));gap:14px;margin:12px 0 20px;}}\n",
    ".kr-card {{border:1px solid #dbe3ea;border-radius:12px;padding:16px 18px;background:#fff;box-shadow:0 2px 8px rgba(15,23,42,.05);}}\n",
    ".kr-label {{font-size:13px;color:#64748b;margin-bottom:6px;}}\n",
    ".kr-value {{font-size:30px;font-weight:700;line-height:1.1;}}\n",
    ".kr-sub {{font-size:12px;color:#64748b;margin-top:7px;}}\n",
    ".kr-verdict {{border-left:5px solid {RED if payload['risk_off'] else AMBER};padding:13px 16px;background:#f8fafc;margin:8px 0 18px;}}\n",
    "@media(max-width:850px) {{.kr-grid{{grid-template-columns:repeat(2,1fr);}}}}\n",
    "</style>\n",
    "<div class=\"kr-grid\">\n",
    " <div class=\"kr-card\"><div class=\"kr-label\">선행 펀더멘털</div><div class=\"kr-value\" style=\"color:{score_color(leading)}\">{leading}</div><div class=\"kr-sub\">가격 제외 · 100점 기준</div></div>\n",
    " <div class=\"kr-card\"><div class=\"kr-label\">가격·수급 확인</div><div class=\"kr-value\" style=\"color:{score_color(price)}\">{price}</div><div class=\"kr-sub\">선행 점수와 별도</div></div>\n",
    " <div class=\"kr-card\"><div class=\"kr-label\">리스크 스트레스</div><div class=\"kr-value\" style=\"color:{score_color(risk, reverse=True)}\">{risk}</div><div class=\"kr-sub\">높을수록 위험</div></div>\n",
    " <div class=\"kr-card\"><div class=\"kr-label\">선행 데이터 가용도</div><div class=\"kr-value\" style=\"color:{BLUE}\">{coverage:.0%}</div><div class=\"kr-sub\">설계 가중치 기준</div></div>\n",
    "</div>\n",
    "<div class=\"kr-verdict\"><b>{payload['regime']}</b><br>{payload['interpretation']}<br><span style=\"color:#64748b;font-size:12px\">리스크 근거: {risk_reasons}</span></div>\n",
    "'''))\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(11, 2.8))\n",
    "labels = ['선행 펀더멘털', '가격·수급 확인', '리스크 스트레스']\n",
    "values = [leading, price, risk]\n",
    "colors = [score_color(leading), score_color(price), score_color(risk, reverse=True)]\n",
    "ax.barh(labels, values, color=colors, height=0.48)\n",
    "ax.axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "ax.axvline(60, color=GREEN, linestyle=':', linewidth=1)\n",
    "label_bars(ax, values)\n",
    "finish_axis(ax)\n",
    "ax.set_title(f\"3층 판단 구조 · 기준일 {payload['as_of']}\", loc='left', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "component-title",
   "metadata": {
    "papermill": {
     "duration": 0.001294,
     "end_time": "2026-10-29T21:45:45.894324+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:45.893030+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 1. 선행 구성요소와 데이터 품질\n",
    "\n",
    "점수만 보지 않고 실제 반영 가중치, 표본수, 업종 커버리지를 함께 확인합니다. `미사용`은 약세가 아니라 비교 가능한 데이터가 아직 없다는 뜻입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "component-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:45.897432Z",
     "iopub.status.busy": "2026-10-29T21:45:45.897346Z",
     "iopub.status.idle": "2026-10-29T21:45:46.686365Z",
     "shell.execute_reply": "2026-10-29T21:45:46.677501Z"
    },
    "papermill": {
     "duration": 0.791545,
     "end_time": "2026-10-29T21:45:46.687080+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:45.895535+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x480 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_fab6b_row0_col0 {\n",
       "  background-color: #fede89;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_fab6b_row1_col0 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_fab6b_row2_col0 {\n",
       "  background-color: #daf08d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_fab6b_row3_col0 {\n",
       "  background-color: #cfeb85;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_fab6b_row4_col0 {\n",
       "  background-color: #addc6f;\n",
       "  color: #000000;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_fab6b\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_fab6b_level0_col0\" class=\"col_heading level0 col0\" >점수</th>\n",
       "      <th id=\"T_fab6b_level0_col1\" class=\"col_heading level0 col1\" >설계가중치</th>\n",
       "      <th id=\"T_fab6b_level0_col2\" class=\"col_heading level0 col2\" >실제가중치</th>\n",
       "      <th id=\"T_fab6b_level0_col3\" class=\"col_heading level0 col3\" >표본수</th>\n",
       "      <th id=\"T_fab6b_level0_col4\" class=\"col_heading level0 col4\" >업종수</th>\n",
       "      <th id=\"T_fab6b_level0_col5\" class=\"col_heading level0 col5\" >매핑커버리지</th>\n",
       "      <th id=\"T_fab6b_level0_col6\" class=\"col_heading level0 col6\" >기준시점</th>\n",
       "      <th id=\"T_fab6b_level0_col7\" class=\"col_heading level0 col7\" >상태</th>\n",
       "      <th id=\"T_fab6b_level0_col8\" class=\"col_heading level0 col8\" >설명</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >구성요소</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "      <th class=\"blank col4\" >&nbsp;</th>\n",
       "      <th class=\"blank col5\" >&nbsp;</th>\n",
       "      <th class=\"blank col6\" >&nbsp;</th>\n",
       "      <th class=\"blank col7\" >&nbsp;</th>\n",
       "      <th class=\"blank col8\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_fab6b_level0_row0\" class=\"row_heading level0 row0\" >증권사 전망 수정</th>\n",
       "      <td id=\"T_fab6b_row0_col0\" class=\"data row0 col0\" >39.5</td>\n",
       "      <td id=\"T_fab6b_row0_col1\" class=\"data row0 col1\" >25%</td>\n",
       "      <td id=\"T_fab6b_row0_col2\" class=\"data row0 col2\" >25.0%</td>\n",
       "      <td id=\"T_fab6b_row0_col3\" class=\"data row0 col3\" >2124</td>\n",
       "      <td id=\"T_fab6b_row0_col4\" class=\"data row0 col4\" >26</td>\n",
       "      <td id=\"T_fab6b_row0_col5\" class=\"data row0 col5\" >99.5</td>\n",
       "      <td id=\"T_fab6b_row0_col6\" class=\"data row0 col6\" >2026-10-29</td>\n",
       "      <td id=\"T_fab6b_row0_col7\" class=\"data row0 col7\" >사용</td>\n",
       "      <td id=\"T_fab6b_row0_col8\" class=\"data row0 col8\" >기업×증권사 최신 목표주가 방향; EPS 리비전의 대용치</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fab6b_level0_row1\" class=\"row_heading level0 row1\" >잠정 수출 확산</th>\n",
       "      <td id=\"T_fab6b_row1_col0\" class=\"data row1 col0\" >100.0</td>\n",
       "      <td id=\"T_fab6b_row1_col1\" class=\"data row1 col1\" >30%</td>\n",
       "      <td id=\"T_fab6b_row1_col2\" class=\"data row1 col2\" >30.0%</td>\n",
       "      <td id=\"T_fab6b_row1_col3\" class=\"data row1 col3\" >3</td>\n",
       "      <td id=\"T_fab6b_row1_col4\" class=\"data row1 col4\" >3</td>\n",
       "      <td id=\"T_fab6b_row1_col5\" class=\"data row1 col5\" >60.0</td>\n",
       "      <td id=\"T_fab6b_row1_col6\" class=\"data row1 col6\" >202610</td>\n",
       "      <td id=\"T_fab6b_row1_col7\" class=\"data row1 col7\" >사용</td>\n",
       "      <td id=\"T_fab6b_row1_col8\" class=\"data row1 col8\" >202610 01~20, 전년 동일 기간과 정의가 이어지는 3개 품목군, 수집 2026-10-26 21:23:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fab6b_level0_row2\" class=\"row_heading level0 row2\" >영업 레버리지 확산</th>\n",
       "      <td id=\"T_fab6b_row2_col0\" class=\"data row2 col0\" >59.4</td>\n",
       "      <td id=\"T_fab6b_row2_col1\" class=\"data row2 col1\" >20%</td>\n",
       "      <td id=\"T_fab6b_row2_col2\" class=\"data row2 col2\" >20.0%</td>\n",
       "      <td id=\"T_fab6b_row2_col3\" class=\"data row2 col3\" >125</td>\n",
       "      <td id=\"T_fab6b_row2_col4\" class=\"data row2 col4\" >15</td>\n",
       "      <td id=\"T_fab6b_row2_col5\" class=\"data row2 col5\" >93.3</td>\n",
       "      <td id=\"T_fab6b_row2_col6\" class=\"data row2 col6\" >2026Q2</td>\n",
       "      <td id=\"T_fab6b_row2_col7\" class=\"data row2 col7\" >사용</td>\n",
       "      <td id=\"T_fab6b_row2_col8\" class=\"data row2 col8\" >2025Q2 대비 영업이익 증가율이 매출 증가율을 웃도는 기업 비율</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fab6b_level0_row3\" class=\"row_heading level0 row3\" >수주잔고 확산</th>\n",
       "      <td id=\"T_fab6b_row3_col0\" class=\"data row3 col0\" >61.9</td>\n",
       "      <td id=\"T_fab6b_row3_col1\" class=\"data row3 col1\" >15%</td>\n",
       "      <td id=\"T_fab6b_row3_col2\" class=\"data row3 col2\" >15.0%</td>\n",
       "      <td id=\"T_fab6b_row3_col3\" class=\"data row3 col3\" >175</td>\n",
       "      <td id=\"T_fab6b_row3_col4\" class=\"data row3 col4\" >15</td>\n",
       "      <td id=\"T_fab6b_row3_col5\" class=\"data row3 col5\" >82.5</td>\n",
       "      <td id=\"T_fab6b_row3_col6\" class=\"data row3 col6\" >2026Q2</td>\n",
       "      <td id=\"T_fab6b_row3_col7\" class=\"data row3 col7\" >사용</td>\n",
       "      <td id=\"T_fab6b_row3_col8\" class=\"data row3 col8\" >2025Q2 대비 증가 기업 비율; DART 단위 정규화, 갱신 20261014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_fab6b_level0_row4\" class=\"row_heading level0 row4\" >경영진 전망</th>\n",
       "      <td id=\"T_fab6b_row4_col0\" class=\"data row4 col0\" >68.4</td>\n",
       "      <td id=\"T_fab6b_row4_col1\" class=\"data row4 col1\" >10%</td>\n",
       "      <td id=\"T_fab6b_row4_col2\" class=\"data row4 col2\" >10.0%</td>\n",
       "      <td id=\"T_fab6b_row4_col3\" class=\"data row4 col3\" >208</td>\n",
       "      <td id=\"T_fab6b_row4_col4\" class=\"data row4 col4\" >22</td>\n",
       "      <td id=\"T_fab6b_row4_col5\" class=\"data row4 col5\" >92.4</td>\n",
       "      <td id=\"T_fab6b_row4_col6\" class=\"data row4 col6\" >2026-10-28</td>\n",
       "      <td id=\"T_fab6b_row4_col7\" class=\"data row4 col7\" >사용</td>\n",
       "      <td id=\"T_fab6b_row4_col8\" class=\"data row4 col8\" >최근 90일 최신 컨콜의 전망·리스크 키워드 균형; 실험적 보조지표</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x11173cbf0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "component_view = result.components.reset_index().copy()\n",
    "component_view['차트점수'] = component_view['점수'].fillna(0)\n",
    "fig, axes = plt.subplots(1, 3, figsize=(15, 4.8), gridspec_kw={'width_ratios':[1.25, 1, 1]})\n",
    "\n",
    "order = component_view.sort_values('차트점수')\n",
    "colors = [score_color(v) if s == '사용' else LIGHT for v, s in zip(order['점수'], order['상태'])]\n",
    "axes[0].barh(order['구성요소'], order['차트점수'], color=colors)\n",
    "axes[0].axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "label_bars(axes[0], order['점수'])\n",
    "finish_axis(axes[0])\n",
    "axes[0].set_title('구성요소 점수', fontweight='bold')\n",
    "\n",
    "weight_order = component_view.sort_values('실제가중치')\n",
    "axes[1].barh(weight_order['구성요소'], weight_order['설계가중치']*100, color=LIGHT, label='설계')\n",
    "axes[1].barh(weight_order['구성요소'], weight_order['실제가중치']*100, color=BLUE, height=.45, label='실제')\n",
    "axes[1].set_xlim(0, max(45, weight_order['실제가중치'].max()*115))\n",
    "axes[1].set_xlabel('가중치(%)')\n",
    "axes[1].legend(frameon=False)\n",
    "axes[1].grid(axis='x', alpha=.18)\n",
    "axes[1].spines[['top','right','left']].set_visible(False)\n",
    "axes[1].set_title('설계 vs 실제 가중치', fontweight='bold')\n",
    "\n",
    "coverage_order = component_view.sort_values('매핑커버리지')\n",
    "axes[2].barh(coverage_order['구성요소'], coverage_order['매핑커버리지'], color=AMBER)\n",
    "label_bars(axes[2], coverage_order['매핑커버리지'], fmt='{:.0f}%')\n",
    "finish_axis(axes[2], xlabel='매핑 커버리지(%)')\n",
    "axes[2].set_title('원천별 매핑 커버리지', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "display(result.components.style.format({\n",
    "    '점수':'{:.1f}', '설계가중치':'{:.0%}', '실제가중치':'{:.1%}',\n",
    "    '매핑커버리지':'{:.1f}'\n",
    "}, na_rep='미사용').background_gradient(subset=['점수'], cmap='RdYlGn', vmin=0, vmax=100))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "analyst-title",
   "metadata": {
    "papermill": {
     "duration": 0.002631,
     "end_time": "2026-10-29T21:45:46.692640+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:46.690009+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 2. 증권사 전망 수정\n",
    "\n",
    "최근 30일 기업×증권사 최신 리포트를 중복 제거합니다. 목표주가 방향은 EPS 리비전의 대용치이므로 보조 선행지표로 해석합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "analyst-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:46.698754Z",
     "iopub.status.busy": "2026-10-29T21:45:46.698430Z",
     "iopub.status.idle": "2026-10-29T21:45:47.044530Z",
     "shell.execute_reply": "2026-10-29T21:45:47.044029Z"
    },
    "papermill": {
     "duration": 0.349919,
     "end_time": "2026-10-29T21:45:47.045372+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:46.695453+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x700 with 2 Axes>"
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     "output_type": "display_data"
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       "  background-color: #e75337;\n",
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       "<table id=\"T_e41b7\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_e41b7_level0_col0\" class=\"col_heading level0 col0\" >업종</th>\n",
       "      <th id=\"T_e41b7_level0_col1\" class=\"col_heading level0 col1\" >점수</th>\n",
       "      <th id=\"T_e41b7_level0_col2\" class=\"col_heading level0 col2\" >표본</th>\n",
       "      <th id=\"T_e41b7_level0_col3\" class=\"col_heading level0 col3\" >상향</th>\n",
       "      <th id=\"T_e41b7_level0_col4\" class=\"col_heading level0 col4\" >하향</th>\n",
       "      <th id=\"T_e41b7_level0_col5\" class=\"col_heading level0 col5\" >중립</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row0\" class=\"row_heading level0 row0\" >22</th>\n",
       "      <td id=\"T_e41b7_row0_col0\" class=\"data row0 col0\" >WICS IT가전</td>\n",
       "      <td id=\"T_e41b7_row0_col1\" class=\"data row0 col1\" >58.9</td>\n",
       "      <td id=\"T_e41b7_row0_col2\" class=\"data row0 col2\" >56</td>\n",
       "      <td id=\"T_e41b7_row0_col3\" class=\"data row0 col3\" >13</td>\n",
       "      <td id=\"T_e41b7_row0_col4\" class=\"data row0 col4\" >3</td>\n",
       "      <td id=\"T_e41b7_row0_col5\" class=\"data row0 col5\" >40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row1\" class=\"row_heading level0 row1\" >8</th>\n",
       "      <td id=\"T_e41b7_row1_col0\" class=\"data row1 col0\" >WICS 운송</td>\n",
       "      <td id=\"T_e41b7_row1_col1\" class=\"data row1 col1\" >57.5</td>\n",
       "      <td id=\"T_e41b7_row1_col2\" class=\"data row1 col2\" >53</td>\n",
       "      <td id=\"T_e41b7_row1_col3\" class=\"data row1 col3\" >15</td>\n",
       "      <td id=\"T_e41b7_row1_col4\" class=\"data row1 col4\" >7</td>\n",
       "      <td id=\"T_e41b7_row1_col5\" class=\"data row1 col5\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row2\" class=\"row_heading level0 row2\" >21</th>\n",
       "      <td id=\"T_e41b7_row2_col0\" class=\"data row2 col0\" >WICS 반도체</td>\n",
       "      <td id=\"T_e41b7_row2_col1\" class=\"data row2 col1\" >55.7</td>\n",
       "      <td id=\"T_e41b7_row2_col2\" class=\"data row2 col2\" >193</td>\n",
       "      <td id=\"T_e41b7_row2_col3\" class=\"data row2 col3\" >36</td>\n",
       "      <td id=\"T_e41b7_row2_col4\" class=\"data row2 col4\" >14</td>\n",
       "      <td id=\"T_e41b7_row2_col5\" class=\"data row2 col5\" >143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row3\" class=\"row_heading level0 row3\" >4</th>\n",
       "      <td id=\"T_e41b7_row3_col0\" class=\"data row3 col0\" >WICS 건설,건축관련</td>\n",
       "      <td id=\"T_e41b7_row3_col1\" class=\"data row3 col1\" >52.7</td>\n",
       "      <td id=\"T_e41b7_row3_col2\" class=\"data row3 col2\" >111</td>\n",
       "      <td id=\"T_e41b7_row3_col3\" class=\"data row3 col3\" >27</td>\n",
       "      <td id=\"T_e41b7_row3_col4\" class=\"data row3 col4\" >21</td>\n",
       "      <td id=\"T_e41b7_row3_col5\" class=\"data row3 col5\" >63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row4\" class=\"row_heading level0 row4\" >24</th>\n",
       "      <td id=\"T_e41b7_row4_col0\" class=\"data row4 col0\" >WICS 통신서비스</td>\n",
       "      <td id=\"T_e41b7_row4_col1\" class=\"data row4 col1\" >50.0</td>\n",
       "      <td id=\"T_e41b7_row4_col2\" class=\"data row4 col2\" >34</td>\n",
       "      <td id=\"T_e41b7_row4_col3\" class=\"data row4 col3\" >1</td>\n",
       "      <td id=\"T_e41b7_row4_col4\" class=\"data row4 col4\" >1</td>\n",
       "      <td id=\"T_e41b7_row4_col5\" class=\"data row4 col5\" >32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row5\" class=\"row_heading level0 row5\" >14</th>\n",
       "      <td id=\"T_e41b7_row5_col0\" class=\"data row5 col0\" >WICS 필수소비재</td>\n",
       "      <td id=\"T_e41b7_row5_col1\" class=\"data row5 col1\" >50.0</td>\n",
       "      <td id=\"T_e41b7_row5_col2\" class=\"data row5 col2\" >71</td>\n",
       "      <td id=\"T_e41b7_row5_col3\" class=\"data row5 col3\" >4</td>\n",
       "      <td id=\"T_e41b7_row5_col4\" class=\"data row5 col4\" >4</td>\n",
       "      <td id=\"T_e41b7_row5_col5\" class=\"data row5 col5\" >63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row6\" class=\"row_heading level0 row6\" >20</th>\n",
       "      <td id=\"T_e41b7_row6_col0\" class=\"data row6 col0\" >WICS IT하드웨어</td>\n",
       "      <td id=\"T_e41b7_row6_col1\" class=\"data row6 col1\" >48.6</td>\n",
       "      <td id=\"T_e41b7_row6_col2\" class=\"data row6 col2\" >105</td>\n",
       "      <td id=\"T_e41b7_row6_col3\" class=\"data row6 col3\" >18</td>\n",
       "      <td id=\"T_e41b7_row6_col4\" class=\"data row6 col4\" >21</td>\n",
       "      <td id=\"T_e41b7_row6_col5\" class=\"data row6 col5\" >66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row7\" class=\"row_heading level0 row7\" >3</th>\n",
       "      <td id=\"T_e41b7_row7_col0\" class=\"data row7 col0\" >WICS 철강</td>\n",
       "      <td id=\"T_e41b7_row7_col1\" class=\"data row7 col1\" >48.6</td>\n",
       "      <td id=\"T_e41b7_row7_col2\" class=\"data row7 col2\" >35</td>\n",
       "      <td id=\"T_e41b7_row7_col3\" class=\"data row7 col3\" >3</td>\n",
       "      <td id=\"T_e41b7_row7_col4\" class=\"data row7 col4\" >4</td>\n",
       "      <td id=\"T_e41b7_row7_col5\" class=\"data row7 col5\" >28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row8\" class=\"row_heading level0 row8\" >10</th>\n",
       "      <td id=\"T_e41b7_row8_col0\" class=\"data row8 col0\" >WICS 화장품,의류,완구</td>\n",
       "      <td id=\"T_e41b7_row8_col1\" class=\"data row8 col1\" >48.4</td>\n",
       "      <td id=\"T_e41b7_row8_col2\" class=\"data row8 col2\" >153</td>\n",
       "      <td id=\"T_e41b7_row8_col3\" class=\"data row8 col3\" >23</td>\n",
       "      <td id=\"T_e41b7_row8_col4\" class=\"data row8 col4\" >28</td>\n",
       "      <td id=\"T_e41b7_row8_col5\" class=\"data row8 col5\" >102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row9\" class=\"row_heading level0 row9\" >18</th>\n",
       "      <td id=\"T_e41b7_row9_col0\" class=\"data row9 col0\" >WICS 보험</td>\n",
       "      <td id=\"T_e41b7_row9_col1\" class=\"data row9 col1\" >48.0</td>\n",
       "      <td id=\"T_e41b7_row9_col2\" class=\"data row9 col2\" >25</td>\n",
       "      <td id=\"T_e41b7_row9_col3\" class=\"data row9 col3\" >4</td>\n",
       "      <td id=\"T_e41b7_row9_col4\" class=\"data row9 col4\" >5</td>\n",
       "      <td id=\"T_e41b7_row9_col5\" class=\"data row9 col5\" >16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row10\" class=\"row_heading level0 row10\" >0</th>\n",
       "      <td id=\"T_e41b7_row10_col0\" class=\"data row10 col0\" >WICS 에너지</td>\n",
       "      <td id=\"T_e41b7_row10_col1\" class=\"data row10 col1\" >46.8</td>\n",
       "      <td id=\"T_e41b7_row10_col2\" class=\"data row10 col2\" >47</td>\n",
       "      <td id=\"T_e41b7_row10_col3\" class=\"data row10 col3\" >11</td>\n",
       "      <td id=\"T_e41b7_row10_col4\" class=\"data row10 col4\" >14</td>\n",
       "      <td id=\"T_e41b7_row10_col5\" class=\"data row10 col5\" >22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row11\" class=\"row_heading level0 row11\" >2</th>\n",
       "      <td id=\"T_e41b7_row11_col0\" class=\"data row11 col0\" >WICS 비철,목재등</td>\n",
       "      <td id=\"T_e41b7_row11_col1\" class=\"data row11 col1\" >43.5</td>\n",
       "      <td id=\"T_e41b7_row11_col2\" class=\"data row11 col2\" >31</td>\n",
       "      <td id=\"T_e41b7_row11_col3\" class=\"data row11 col3\" >3</td>\n",
       "      <td id=\"T_e41b7_row11_col4\" class=\"data row11 col4\" >7</td>\n",
       "      <td id=\"T_e41b7_row11_col5\" class=\"data row11 col5\" >21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row12\" class=\"row_heading level0 row12\" >7</th>\n",
       "      <td id=\"T_e41b7_row12_col0\" class=\"data row12 col0\" >WICS 상사,자본재</td>\n",
       "      <td id=\"T_e41b7_row12_col1\" class=\"data row12 col1\" >40.8</td>\n",
       "      <td id=\"T_e41b7_row12_col2\" class=\"data row12 col2\" >136</td>\n",
       "      <td id=\"T_e41b7_row12_col3\" class=\"data row12 col3\" >9</td>\n",
       "      <td id=\"T_e41b7_row12_col4\" class=\"data row12 col4\" >34</td>\n",
       "      <td id=\"T_e41b7_row12_col5\" class=\"data row12 col5\" >93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row13\" class=\"row_heading level0 row13\" >19</th>\n",
       "      <td id=\"T_e41b7_row13_col0\" class=\"data row13 col0\" >WICS 소프트웨어</td>\n",
       "      <td id=\"T_e41b7_row13_col1\" class=\"data row13 col1\" >39.2</td>\n",
       "      <td id=\"T_e41b7_row13_col2\" class=\"data row13 col2\" >144</td>\n",
       "      <td id=\"T_e41b7_row13_col3\" class=\"data row13 col3\" >7</td>\n",
       "      <td id=\"T_e41b7_row13_col4\" class=\"data row13 col4\" >38</td>\n",
       "      <td id=\"T_e41b7_row13_col5\" class=\"data row13 col5\" >99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row14\" class=\"row_heading level0 row14\" >23</th>\n",
       "      <td id=\"T_e41b7_row14_col0\" class=\"data row14 col0\" >WICS 디스플레이</td>\n",
       "      <td id=\"T_e41b7_row14_col1\" class=\"data row14 col1\" >37.9</td>\n",
       "      <td id=\"T_e41b7_row14_col2\" class=\"data row14 col2\" >29</td>\n",
       "      <td id=\"T_e41b7_row14_col3\" class=\"data row14 col3\" >1</td>\n",
       "      <td id=\"T_e41b7_row14_col4\" class=\"data row14 col4\" >8</td>\n",
       "      <td id=\"T_e41b7_row14_col5\" class=\"data row14 col5\" >20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_e41b7_row15_col0\" class=\"data row15 col0\" >WICS 건강관리</td>\n",
       "      <td id=\"T_e41b7_row15_col1\" class=\"data row15 col1\" >37.5</td>\n",
       "      <td id=\"T_e41b7_row15_col2\" class=\"data row15 col2\" >200</td>\n",
       "      <td id=\"T_e41b7_row15_col3\" class=\"data row15 col3\" >10</td>\n",
       "      <td id=\"T_e41b7_row15_col4\" class=\"data row15 col4\" >60</td>\n",
       "      <td id=\"T_e41b7_row15_col5\" class=\"data row15 col5\" >130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row16\" class=\"row_heading level0 row16\" >16</th>\n",
       "      <td id=\"T_e41b7_row16_col0\" class=\"data row16 col0\" >WICS 은행</td>\n",
       "      <td id=\"T_e41b7_row16_col1\" class=\"data row16 col1\" >35.2</td>\n",
       "      <td id=\"T_e41b7_row16_col2\" class=\"data row16 col2\" >122</td>\n",
       "      <td id=\"T_e41b7_row16_col3\" class=\"data row16 col3\" >3</td>\n",
       "      <td id=\"T_e41b7_row16_col4\" class=\"data row16 col4\" >39</td>\n",
       "      <td id=\"T_e41b7_row16_col5\" class=\"data row16 col5\" >80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row17\" class=\"row_heading level0 row17\" >5</th>\n",
       "      <td id=\"T_e41b7_row17_col0\" class=\"data row17 col0\" >WICS 기계</td>\n",
       "      <td id=\"T_e41b7_row17_col1\" class=\"data row17 col1\" >34.8</td>\n",
       "      <td id=\"T_e41b7_row17_col2\" class=\"data row17 col2\" >112</td>\n",
       "      <td id=\"T_e41b7_row17_col3\" class=\"data row17 col3\" >6</td>\n",
       "      <td id=\"T_e41b7_row17_col4\" class=\"data row17 col4\" >40</td>\n",
       "      <td id=\"T_e41b7_row17_col5\" class=\"data row17 col5\" >66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row18\" class=\"row_heading level0 row18\" >1</th>\n",
       "      <td id=\"T_e41b7_row18_col0\" class=\"data row18 col0\" >WICS 화학</td>\n",
       "      <td id=\"T_e41b7_row18_col1\" class=\"data row18 col1\" >34.1</td>\n",
       "      <td id=\"T_e41b7_row18_col2\" class=\"data row18 col2\" >66</td>\n",
       "      <td id=\"T_e41b7_row18_col3\" class=\"data row18 col3\" >7</td>\n",
       "      <td id=\"T_e41b7_row18_col4\" class=\"data row18 col4\" >28</td>\n",
       "      <td id=\"T_e41b7_row18_col5\" class=\"data row18 col5\" >31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row19\" class=\"row_heading level0 row19\" >25</th>\n",
       "      <td id=\"T_e41b7_row19_col0\" class=\"data row19 col0\" >WICS 유틸리티</td>\n",
       "      <td id=\"T_e41b7_row19_col1\" class=\"data row19 col1\" >33.3</td>\n",
       "      <td id=\"T_e41b7_row19_col2\" class=\"data row19 col2\" >18</td>\n",
       "      <td id=\"T_e41b7_row19_col3\" class=\"data row19 col3\" >1</td>\n",
       "      <td id=\"T_e41b7_row19_col4\" class=\"data row19 col4\" >7</td>\n",
       "      <td id=\"T_e41b7_row19_col5\" class=\"data row19 col5\" >10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row20\" class=\"row_heading level0 row20\" >13</th>\n",
       "      <td id=\"T_e41b7_row20_col0\" class=\"data row20 col0\" >WICS 소매(유통)</td>\n",
       "      <td id=\"T_e41b7_row20_col1\" class=\"data row20 col1\" >27.5</td>\n",
       "      <td id=\"T_e41b7_row20_col2\" class=\"data row20 col2\" >71</td>\n",
       "      <td id=\"T_e41b7_row20_col3\" class=\"data row20 col3\" >0</td>\n",
       "      <td id=\"T_e41b7_row20_col4\" class=\"data row20 col4\" >32</td>\n",
       "      <td id=\"T_e41b7_row20_col5\" class=\"data row20 col5\" >39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row21\" class=\"row_heading level0 row21\" >12</th>\n",
       "      <td id=\"T_e41b7_row21_col0\" class=\"data row21 col0\" >WICS 미디어,교육</td>\n",
       "      <td id=\"T_e41b7_row21_col1\" class=\"data row21 col1\" >26.1</td>\n",
       "      <td id=\"T_e41b7_row21_col2\" class=\"data row21 col2\" >69</td>\n",
       "      <td id=\"T_e41b7_row21_col3\" class=\"data row21 col3\" >2</td>\n",
       "      <td id=\"T_e41b7_row21_col4\" class=\"data row21 col4\" >35</td>\n",
       "      <td id=\"T_e41b7_row21_col5\" class=\"data row21 col5\" >32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row22\" class=\"row_heading level0 row22\" >9</th>\n",
       "      <td id=\"T_e41b7_row22_col0\" class=\"data row22 col0\" >WICS 자동차</td>\n",
       "      <td id=\"T_e41b7_row22_col1\" class=\"data row22 col1\" >25.2</td>\n",
       "      <td id=\"T_e41b7_row22_col2\" class=\"data row22 col2\" >107</td>\n",
       "      <td id=\"T_e41b7_row22_col3\" class=\"data row22 col3\" >6</td>\n",
       "      <td id=\"T_e41b7_row22_col4\" class=\"data row22 col4\" >59</td>\n",
       "      <td id=\"T_e41b7_row22_col5\" class=\"data row22 col5\" >42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row23\" class=\"row_heading level0 row23\" >11</th>\n",
       "      <td id=\"T_e41b7_row23_col0\" class=\"data row23 col0\" >WICS 호텔,레저서비스</td>\n",
       "      <td id=\"T_e41b7_row23_col1\" class=\"data row23 col1\" >20.7</td>\n",
       "      <td id=\"T_e41b7_row23_col2\" class=\"data row23 col2\" >29</td>\n",
       "      <td id=\"T_e41b7_row23_col3\" class=\"data row23 col3\" >0</td>\n",
       "      <td id=\"T_e41b7_row23_col4\" class=\"data row23 col4\" >17</td>\n",
       "      <td id=\"T_e41b7_row23_col5\" class=\"data row23 col5\" >12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row24\" class=\"row_heading level0 row24\" >6</th>\n",
       "      <td id=\"T_e41b7_row24_col0\" class=\"data row24 col0\" >WICS 조선</td>\n",
       "      <td id=\"T_e41b7_row24_col1\" class=\"data row24 col1\" >15.9</td>\n",
       "      <td id=\"T_e41b7_row24_col2\" class=\"data row24 col2\" >82</td>\n",
       "      <td id=\"T_e41b7_row24_col3\" class=\"data row24 col3\" >0</td>\n",
       "      <td id=\"T_e41b7_row24_col4\" class=\"data row24 col4\" >56</td>\n",
       "      <td id=\"T_e41b7_row24_col5\" class=\"data row24 col5\" >26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_e41b7_level0_row25\" class=\"row_heading level0 row25\" >17</th>\n",
       "      <td id=\"T_e41b7_row25_col0\" class=\"data row25 col0\" >WICS 증권</td>\n",
       "      <td id=\"T_e41b7_row25_col1\" class=\"data row25 col1\" >10.0</td>\n",
       "      <td id=\"T_e41b7_row25_col2\" class=\"data row25 col2\" >25</td>\n",
       "      <td id=\"T_e41b7_row25_col3\" class=\"data row25 col3\" >0</td>\n",
       "      <td id=\"T_e41b7_row25_col4\" class=\"data row25 col4\" >20</td>\n",
       "      <td id=\"T_e41b7_row25_col5\" class=\"data row25 col5\" >5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x11164f5f0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "analyst = component_payload['analyst_revision']['diagnostics']\n",
    "analyst_sector = pd.DataFrame(analyst['sector_detail'])\n",
    "analyst_sector['업종'] = analyst_sector['sector_code'].map(sector_name_map)\n",
    "analyst_sector = analyst_sector.sort_values('score')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 7), gridspec_kw={'width_ratios':[.75, 1.5]})\n",
    "counts = [analyst['upgrades'], analyst['downgrades'], analyst['neutral']]\n",
    "axes[0].pie(counts, labels=['상향', '하향', '유지·미표기'], colors=[GREEN, RED, LIGHT],\n",
    "            autopct='%1.1f%%', startangle=90, wedgeprops={'width':.42, 'edgecolor':'white'})\n",
    "axes[0].text(0, 0, f\"순방향\\n{analyst['directional_net_pct']:+.1f}%\", ha='center', va='center', fontweight='bold')\n",
    "axes[0].set_title('리포트 방향 분포', fontweight='bold')\n",
    "\n",
    "colors = [score_color(v) for v in analyst_sector['score']]\n",
    "axes[1].barh(analyst_sector['업종'], analyst_sector['score'], color=colors)\n",
    "axes[1].axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "finish_axis(axes[1])\n",
    "axes[1].set_title('WICS 업종별 전망 수정 점수', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "display(analyst_sector[['업종','score','sample_count','upgrades','downgrades','neutral']]\n",
    "        .sort_values('score', ascending=False)\n",
    "        .rename(columns={'score':'점수','sample_count':'표본','upgrades':'상향','downgrades':'하향','neutral':'중립'})\n",
    "        .style.format({'점수':'{:.1f}'})\n",
    "        .background_gradient(subset=['점수'], cmap='RdYlGn', vmin=0, vmax=100))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "export-title",
   "metadata": {
    "papermill": {
     "duration": 0.002304,
     "end_time": "2026-10-29T21:45:47.050932+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.048628+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 3. 잠정 수출 확산\n",
    "\n",
    "최신 1~20일 잠정치와 전년 동일 기간을 비교합니다. 품목 정의가 이어지는 항목만 사용하며, 정의가 달라진 자동차 등은 억지로 연결하지 않습니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "export-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:47.059331Z",
     "iopub.status.busy": "2026-10-29T21:45:47.059172Z",
     "iopub.status.idle": "2026-10-29T21:45:47.227795Z",
     "shell.execute_reply": "2026-10-29T21:45:47.226866Z"
    },
    "papermill": {
     "duration": 0.174915,
     "end_time": "2026-10-29T21:45:47.228829+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.053914+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_c7231_row0_col1 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_c7231_row1_col1 {\n",
       "  background-color: #fba35c;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_c7231_row2_col1 {\n",
       "  background-color: #a50026;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_c7231\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_c7231_level0_col0\" class=\"col_heading level0 col0\" >품목군</th>\n",
       "      <th id=\"T_c7231_level0_col1\" class=\"col_heading level0 col1\" >전년비(%)</th>\n",
       "      <th id=\"T_c7231_level0_col2\" class=\"col_heading level0 col2\" >현재(백만$)</th>\n",
       "      <th id=\"T_c7231_level0_col3\" class=\"col_heading level0 col3\" >전년(백만$)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_c7231_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_c7231_row0_col0\" class=\"data row0 col0\" >반도체</td>\n",
       "      <td id=\"T_c7231_row0_col1\" class=\"data row0 col1\" >+222.5</td>\n",
       "      <td id=\"T_c7231_row0_col2\" class=\"data row0 col2\" >27,516.2</td>\n",
       "      <td id=\"T_c7231_row0_col3\" class=\"data row0 col3\" >8,532.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c7231_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_c7231_row1_col0\" class=\"data row1 col0\" >석유제품</td>\n",
       "      <td id=\"T_c7231_row1_col1\" class=\"data row1 col1\" >+68.3</td>\n",
       "      <td id=\"T_c7231_row1_col2\" class=\"data row1 col2\" >3,948.3</td>\n",
       "      <td id=\"T_c7231_row1_col3\" class=\"data row1 col3\" >2,346.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_c7231_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_c7231_row2_col0\" class=\"data row2 col0\" >선박</td>\n",
       "      <td id=\"T_c7231_row2_col1\" class=\"data row2 col1\" >+6.9</td>\n",
       "      <td id=\"T_c7231_row2_col2\" class=\"data row2 col2\" >1,621.3</td>\n",
       "      <td id=\"T_c7231_row2_col3\" class=\"data row2 col3\" >1,516.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x11150b590>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "exports = component_payload['export_diffusion']['diagnostics']\n",
    "export_df = pd.DataFrame(exports['sector_detail']).sort_values('yoy_pct')\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 4.5))\n",
    "\n",
    "colors = [GREEN if v > 0 else RED for v in export_df['yoy_pct']]\n",
    "axes[0].barh(export_df['sector'], export_df['yoy_pct'], color=colors)\n",
    "axes[0].axvline(0, color=SLATE, linewidth=1)\n",
    "for patch, value in zip(axes[0].patches, export_df['yoy_pct']):\n",
    "    axes[0].text(value + (2 if value >= 0 else -2), patch.get_y()+patch.get_height()/2,\n",
    "                 f'{value:+.1f}%', va='center', ha='left' if value >= 0 else 'right')\n",
    "axes[0].set_title(f\"품목별 전년비 · {component_payload['export_diffusion']['as_of']} {exports['period']}\", fontweight='bold')\n",
    "axes[0].set_xlabel('전년비(%)')\n",
    "axes[0].grid(axis='x', alpha=.18)\n",
    "axes[0].spines[['top','right','left']].set_visible(False)\n",
    "\n",
    "x = np.arange(len(export_df))\n",
    "width = .36\n",
    "axes[1].bar(x-width/2, export_df['prior_million_usd'], width, label=exports['prior_month'], color=LIGHT)\n",
    "axes[1].bar(x+width/2, export_df['current_million_usd'], width, label=component_payload['export_diffusion']['as_of'], color=BLUE)\n",
    "axes[1].set_xticks(x, export_df['sector'], rotation=25, ha='right')\n",
    "axes[1].set_ylabel('백만 달러')\n",
    "axes[1].set_title('동일 기간 수출액 비교', fontweight='bold')\n",
    "axes[1].legend(frameon=False)\n",
    "axes[1].grid(axis='y', alpha=.18)\n",
    "axes[1].spines[['top','right']].set_visible(False)\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "display(export_df[['sector','yoy_pct','current_million_usd','prior_million_usd']]\n",
    "        .rename(columns={'sector':'품목군','yoy_pct':'전년비(%)','current_million_usd':'현재(백만$)','prior_million_usd':'전년(백만$)'})\n",
    "        .sort_values('전년비(%)', ascending=False)\n",
    "        .style.format({'전년비(%)':'{:+.1f}','현재(백만$)':'{:,.1f}','전년(백만$)':'{:,.1f}'})\n",
    "        .background_gradient(subset=['전년비(%)'], cmap='RdYlGn'))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "backlog-title",
   "metadata": {
    "papermill": {
     "duration": 0.004945,
     "end_time": "2026-10-29T21:45:47.237923+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.232978+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 4. 수주잔고 확산\n",
    "\n",
    "DART 수주잔고를 단위 정규화한 뒤 전년 동기 대비 증가 기업 비율을 업종별로 계산합니다. 수주잔고 공시 대상 기업만의 신호입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "backlog-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:47.261936Z",
     "iopub.status.busy": "2026-10-29T21:45:47.261638Z",
     "iopub.status.idle": "2026-10-29T21:45:47.522730Z",
     "shell.execute_reply": "2026-10-29T21:45:47.522391Z"
    },
    "papermill": {
     "duration": 0.273453,
     "end_time": "2026-10-29T21:45:47.523684+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.250231+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**증가율 상·하위 기업(극단값 점검용)**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_b8600_row0_col3 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_b8600_row1_col3 {\n",
       "  background-color: #ecf7a6;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row2_col3 {\n",
       "  background-color: #fffebe;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row3_col3 {\n",
       "  background-color: #fff5ae;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row4_col3 {\n",
       "  background-color: #fff2aa;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row5_col3 {\n",
       "  background-color: #fff1a8;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row6_col3 {\n",
       "  background-color: #feea9b;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row7_col3 {\n",
       "  background-color: #fee18d;\n",
       "  color: #000000;\n",
       "}\n",
       "#T_b8600_row8_col3, #T_b8600_row9_col3, #T_b8600_row10_col3, #T_b8600_row11_col3, #T_b8600_row12_col3, #T_b8600_row13_col3, #T_b8600_row14_col3, #T_b8600_row15_col3 {\n",
       "  background-color: #a50026;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_b8600\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_b8600_level0_col0\" class=\"col_heading level0 col0\" >종목코드</th>\n",
       "      <th id=\"T_b8600_level0_col1\" class=\"col_heading level0 col1\" >기업</th>\n",
       "      <th id=\"T_b8600_level0_col2\" class=\"col_heading level0 col2\" >업종</th>\n",
       "      <th id=\"T_b8600_level0_col3\" class=\"col_heading level0 col3\" >증가율(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_b8600_row0_col0\" class=\"data row0 col0\" >460860</td>\n",
       "      <td id=\"T_b8600_row0_col1\" class=\"data row0 col1\" >동국제강</td>\n",
       "      <td id=\"T_b8600_row0_col2\" class=\"data row0 col2\" >WICS 철강</td>\n",
       "      <td id=\"T_b8600_row0_col3\" class=\"data row0 col3\" >+939.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_b8600_row1_col0\" class=\"data row1 col0\" >089030</td>\n",
       "      <td id=\"T_b8600_row1_col1\" class=\"data row1 col1\" >테크윙</td>\n",
       "      <td id=\"T_b8600_row1_col2\" class=\"data row1 col2\" >WICS 반도체</td>\n",
       "      <td id=\"T_b8600_row1_col3\" class=\"data row1 col3\" >+470.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_b8600_row2_col0\" class=\"data row2 col0\" >005860</td>\n",
       "      <td id=\"T_b8600_row2_col1\" class=\"data row2 col1\" >한일사료</td>\n",
       "      <td id=\"T_b8600_row2_col2\" class=\"data row2 col2\" >WICS 필수소비재</td>\n",
       "      <td id=\"T_b8600_row2_col3\" class=\"data row2 col3\" >+416.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_b8600_row3_col0\" class=\"data row3 col0\" >019990</td>\n",
       "      <td id=\"T_b8600_row3_col1\" class=\"data row3 col1\" >에너토크</td>\n",
       "      <td id=\"T_b8600_row3_col2\" class=\"data row3 col2\" >WICS 기계</td>\n",
       "      <td id=\"T_b8600_row3_col3\" class=\"data row3 col3\" >+386.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_b8600_row4_col0\" class=\"data row4 col0\" >389020</td>\n",
       "      <td id=\"T_b8600_row4_col1\" class=\"data row4 col1\" >자람테크놀로지</td>\n",
       "      <td id=\"T_b8600_row4_col2\" class=\"data row4 col2\" >WICS IT하드웨어</td>\n",
       "      <td id=\"T_b8600_row4_col3\" class=\"data row4 col3\" >+375.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_b8600_row5_col0\" class=\"data row5 col0\" >000850</td>\n",
       "      <td id=\"T_b8600_row5_col1\" class=\"data row5 col1\" >화천기공</td>\n",
       "      <td id=\"T_b8600_row5_col2\" class=\"data row5 col2\" >WICS 기계</td>\n",
       "      <td id=\"T_b8600_row5_col3\" class=\"data row5 col3\" >+375.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_b8600_row6_col0\" class=\"data row6 col0\" >382900</td>\n",
       "      <td id=\"T_b8600_row6_col1\" class=\"data row6 col1\" >범한퓨얼셀</td>\n",
       "      <td id=\"T_b8600_row6_col2\" class=\"data row6 col2\" >WICS IT가전</td>\n",
       "      <td id=\"T_b8600_row6_col3\" class=\"data row6 col3\" >+350.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_b8600_row7_col0\" class=\"data row7 col0\" >306200</td>\n",
       "      <td id=\"T_b8600_row7_col1\" class=\"data row7 col1\" >세아제강</td>\n",
       "      <td id=\"T_b8600_row7_col2\" class=\"data row7 col2\" >WICS 철강</td>\n",
       "      <td id=\"T_b8600_row7_col3\" class=\"data row7 col3\" >+321.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_b8600_row8_col0\" class=\"data row8 col0\" >186230</td>\n",
       "      <td id=\"T_b8600_row8_col1\" class=\"data row8 col1\" >그린플러스</td>\n",
       "      <td id=\"T_b8600_row8_col2\" class=\"data row8 col2\" >WICS 건설,건축관련</td>\n",
       "      <td id=\"T_b8600_row8_col3\" class=\"data row8 col3\" >-99.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_b8600_row9_col0\" class=\"data row9 col0\" >058970</td>\n",
       "      <td id=\"T_b8600_row9_col1\" class=\"data row9 col1\" >엠로</td>\n",
       "      <td id=\"T_b8600_row9_col2\" class=\"data row9 col2\" >WICS 소프트웨어</td>\n",
       "      <td id=\"T_b8600_row9_col3\" class=\"data row9 col3\" >-99.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "      <td id=\"T_b8600_row10_col0\" class=\"data row10 col0\" >211270</td>\n",
       "      <td id=\"T_b8600_row10_col1\" class=\"data row10 col1\" >AP위성</td>\n",
       "      <td id=\"T_b8600_row10_col2\" class=\"data row10 col2\" >WICS IT하드웨어</td>\n",
       "      <td id=\"T_b8600_row10_col3\" class=\"data row10 col3\" >-99.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "      <td id=\"T_b8600_row11_col0\" class=\"data row11 col0\" >053030</td>\n",
       "      <td id=\"T_b8600_row11_col1\" class=\"data row11 col1\" >바이넥스</td>\n",
       "      <td id=\"T_b8600_row11_col2\" class=\"data row11 col2\" >WICS 건강관리</td>\n",
       "      <td id=\"T_b8600_row11_col3\" class=\"data row11 col3\" >-99.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "      <td id=\"T_b8600_row12_col0\" class=\"data row12 col0\" >322000</td>\n",
       "      <td id=\"T_b8600_row12_col1\" class=\"data row12 col1\" >HD현대에너지솔루션</td>\n",
       "      <td id=\"T_b8600_row12_col2\" class=\"data row12 col2\" >WICS 에너지</td>\n",
       "      <td id=\"T_b8600_row12_col3\" class=\"data row12 col3\" >-99.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "      <td id=\"T_b8600_row13_col0\" class=\"data row13 col0\" >100090</td>\n",
       "      <td id=\"T_b8600_row13_col1\" class=\"data row13 col1\" >SK오션플랜트</td>\n",
       "      <td id=\"T_b8600_row13_col2\" class=\"data row13 col2\" >WICS 에너지</td>\n",
       "      <td id=\"T_b8600_row13_col3\" class=\"data row13 col3\" >-100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "      <td id=\"T_b8600_row14_col0\" class=\"data row14 col0\" >011930</td>\n",
       "      <td id=\"T_b8600_row14_col1\" class=\"data row14 col1\" >신성이엔지</td>\n",
       "      <td id=\"T_b8600_row14_col2\" class=\"data row14 col2\" >WICS 반도체</td>\n",
       "      <td id=\"T_b8600_row14_col3\" class=\"data row14 col3\" >-100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_b8600_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_b8600_row15_col0\" class=\"data row15 col0\" >100840</td>\n",
       "      <td id=\"T_b8600_row15_col1\" class=\"data row15 col1\" >SNT에너지</td>\n",
       "      <td id=\"T_b8600_row15_col2\" class=\"data row15 col2\" >WICS 에너지</td>\n",
       "      <td id=\"T_b8600_row15_col3\" class=\"data row15 col3\" >-100.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x111ae6f60>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "backlog = component_payload['backlog_diffusion']['diagnostics']\n",
    "backlog_sector = pd.DataFrame(backlog['sector_detail'])\n",
    "backlog_sector['업종'] = backlog_sector['sector_code'].map(sector_name_map)\n",
    "backlog_sector = backlog_sector.sort_values('score')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 6), gridspec_kw={'width_ratios':[.75, 1.55]})\n",
    "counts = [backlog['increased'], backlog['decreased_or_flat']]\n",
    "axes[0].pie(counts, labels=['증가', '감소·정체'], colors=[GREEN, RED], autopct='%1.1f%%',\n",
    "            startangle=90, wedgeprops={'width':.42, 'edgecolor':'white'})\n",
    "axes[0].text(0, 0, f\"표본\\n{sum(counts)}개\", ha='center', va='center', fontweight='bold')\n",
    "axes[0].set_title(f\"{backlog['prior_quarter']} 대비 증가 기업\", fontweight='bold')\n",
    "\n",
    "axes[1].barh(backlog_sector['업종'], backlog_sector['score'], color=[score_color(v) for v in backlog_sector['score']])\n",
    "axes[1].axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "finish_axis(axes[1])\n",
    "axes[1].set_title('업종별 수주잔고 증가 기업 비율', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "backlog_extremes = pd.DataFrame(backlog['company_extremes'])\n",
    "backlog_extremes['업종'] = backlog_extremes['sector_code'].map(sector_name_map)\n",
    "display(Markdown('**증가율 상·하위 기업(극단값 점검용)**'))\n",
    "display(backlog_extremes[['ticker','name','업종','growth_pct']]\n",
    "        .sort_values('growth_pct', ascending=False)\n",
    "        .rename(columns={'ticker':'종목코드','name':'기업','growth_pct':'증가율(%)'})\n",
    "        .style.format({'증가율(%)':'{:+,.1f}'})\n",
    "        .background_gradient(subset=['증가율(%)'], cmap='RdYlGn'))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "management-title",
   "metadata": {
    "papermill": {
     "duration": 0.002291,
     "end_time": "2026-10-29T21:45:47.529066+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.526775+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 5. 경영진 전망\n",
    "\n",
    "최근 90일 국내 상장사 최신 컨콜의 전망·리스크 키워드 균형을 측정합니다. 규칙 기반 보조지표이므로 개별 기업 점수보다 업종 확산 방향을 우선 봅니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "management-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:47.537304Z",
     "iopub.status.busy": "2026-10-29T21:45:47.537218Z",
     "iopub.status.idle": "2026-10-29T21:45:47.662025Z",
     "shell.execute_reply": "2026-10-29T21:45:47.661681Z"
    },
    "papermill": {
     "duration": 0.129237,
     "end_time": "2026-10-29T21:45:47.662499+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.533262+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**컨콜 톤 상·하위 기업(텍스트 원문 재확인 대상)**"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_872d8_row0_col3, #T_872d8_row1_col3, #T_872d8_row2_col3, #T_872d8_row3_col3, #T_872d8_row4_col3, #T_872d8_row5_col3, #T_872d8_row6_col3, #T_872d8_row7_col3 {\n",
       "  background-color: #006837;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "#T_872d8_row8_col3, #T_872d8_row9_col3, #T_872d8_row10_col3, #T_872d8_row11_col3, #T_872d8_row12_col3, #T_872d8_row13_col3, #T_872d8_row14_col3, #T_872d8_row15_col3 {\n",
       "  background-color: #a50026;\n",
       "  color: #f1f1f1;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_872d8\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_872d8_level0_col0\" class=\"col_heading level0 col0\" >종목코드</th>\n",
       "      <th id=\"T_872d8_level0_col1\" class=\"col_heading level0 col1\" >기업</th>\n",
       "      <th id=\"T_872d8_level0_col2\" class=\"col_heading level0 col2\" >업종</th>\n",
       "      <th id=\"T_872d8_level0_col3\" class=\"col_heading level0 col3\" >톤 점수</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_872d8_row0_col0\" class=\"data row0 col0\" >253590</td>\n",
       "      <td id=\"T_872d8_row0_col1\" class=\"data row0 col1\" >네오셈</td>\n",
       "      <td id=\"T_872d8_row0_col2\" class=\"data row0 col2\" >WICS 반도체</td>\n",
       "      <td id=\"T_872d8_row0_col3\" class=\"data row0 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_872d8_row1_col0\" class=\"data row1 col0\" >071970</td>\n",
       "      <td id=\"T_872d8_row1_col1\" class=\"data row1 col1\" >HD현대마린엔진</td>\n",
       "      <td id=\"T_872d8_row1_col2\" class=\"data row1 col2\" >WICS 조선</td>\n",
       "      <td id=\"T_872d8_row1_col3\" class=\"data row1 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_872d8_row2_col0\" class=\"data row2 col0\" >018880</td>\n",
       "      <td id=\"T_872d8_row2_col1\" class=\"data row2 col1\" >한온시스템</td>\n",
       "      <td id=\"T_872d8_row2_col2\" class=\"data row2 col2\" >WICS 자동차</td>\n",
       "      <td id=\"T_872d8_row2_col3\" class=\"data row2 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_872d8_row3_col0\" class=\"data row3 col0\" >481070</td>\n",
       "      <td id=\"T_872d8_row3_col1\" class=\"data row3 col1\" >에이유브랜즈</td>\n",
       "      <td id=\"T_872d8_row3_col2\" class=\"data row3 col2\" >WICS 화장품,의류,완구</td>\n",
       "      <td id=\"T_872d8_row3_col3\" class=\"data row3 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_872d8_row4_col0\" class=\"data row4 col0\" >128940</td>\n",
       "      <td id=\"T_872d8_row4_col1\" class=\"data row4 col1\" >한미약품</td>\n",
       "      <td id=\"T_872d8_row4_col2\" class=\"data row4 col2\" >WICS 건강관리</td>\n",
       "      <td id=\"T_872d8_row4_col3\" class=\"data row4 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row5\" class=\"row_heading level0 row5\" >5</th>\n",
       "      <td id=\"T_872d8_row5_col0\" class=\"data row5 col0\" >032830</td>\n",
       "      <td id=\"T_872d8_row5_col1\" class=\"data row5 col1\" >삼성생명</td>\n",
       "      <td id=\"T_872d8_row5_col2\" class=\"data row5 col2\" >WICS 보험</td>\n",
       "      <td id=\"T_872d8_row5_col3\" class=\"data row5 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row6\" class=\"row_heading level0 row6\" >6</th>\n",
       "      <td id=\"T_872d8_row6_col0\" class=\"data row6 col0\" >189330</td>\n",
       "      <td id=\"T_872d8_row6_col1\" class=\"data row6 col1\" >씨이랩</td>\n",
       "      <td id=\"T_872d8_row6_col2\" class=\"data row6 col2\" >WICS 소프트웨어</td>\n",
       "      <td id=\"T_872d8_row6_col3\" class=\"data row6 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row7\" class=\"row_heading level0 row7\" >7</th>\n",
       "      <td id=\"T_872d8_row7_col0\" class=\"data row7 col0\" >006800</td>\n",
       "      <td id=\"T_872d8_row7_col1\" class=\"data row7 col1\" >미래에셋증권</td>\n",
       "      <td id=\"T_872d8_row7_col2\" class=\"data row7 col2\" >WICS 증권</td>\n",
       "      <td id=\"T_872d8_row7_col3\" class=\"data row7 col3\" >100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row8\" class=\"row_heading level0 row8\" >8</th>\n",
       "      <td id=\"T_872d8_row8_col0\" class=\"data row8 col0\" >285800</td>\n",
       "      <td id=\"T_872d8_row8_col1\" class=\"data row8 col1\" >진영</td>\n",
       "      <td id=\"T_872d8_row8_col2\" class=\"data row8 col2\" >WICS 화학</td>\n",
       "      <td id=\"T_872d8_row8_col3\" class=\"data row8 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row9\" class=\"row_heading level0 row9\" >9</th>\n",
       "      <td id=\"T_872d8_row9_col0\" class=\"data row9 col0\" >458870</td>\n",
       "      <td id=\"T_872d8_row9_col1\" class=\"data row9 col1\" >씨어스</td>\n",
       "      <td id=\"T_872d8_row9_col2\" class=\"data row9 col2\" >WICS 건강관리</td>\n",
       "      <td id=\"T_872d8_row9_col3\" class=\"data row9 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row10\" class=\"row_heading level0 row10\" >10</th>\n",
       "      <td id=\"T_872d8_row10_col0\" class=\"data row10 col0\" >009420</td>\n",
       "      <td id=\"T_872d8_row10_col1\" class=\"data row10 col1\" >한올바이오파마</td>\n",
       "      <td id=\"T_872d8_row10_col2\" class=\"data row10 col2\" >WICS 건강관리</td>\n",
       "      <td id=\"T_872d8_row10_col3\" class=\"data row10 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row11\" class=\"row_heading level0 row11\" >11</th>\n",
       "      <td id=\"T_872d8_row11_col0\" class=\"data row11 col0\" >047810</td>\n",
       "      <td id=\"T_872d8_row11_col1\" class=\"data row11 col1\" >한국항공우주</td>\n",
       "      <td id=\"T_872d8_row11_col2\" class=\"data row11 col2\" >WICS 상사,자본재</td>\n",
       "      <td id=\"T_872d8_row11_col3\" class=\"data row11 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row12\" class=\"row_heading level0 row12\" >12</th>\n",
       "      <td id=\"T_872d8_row12_col0\" class=\"data row12 col0\" >382900</td>\n",
       "      <td id=\"T_872d8_row12_col1\" class=\"data row12 col1\" >범한퓨얼셀</td>\n",
       "      <td id=\"T_872d8_row12_col2\" class=\"data row12 col2\" >WICS IT가전</td>\n",
       "      <td id=\"T_872d8_row12_col3\" class=\"data row12 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row13\" class=\"row_heading level0 row13\" >13</th>\n",
       "      <td id=\"T_872d8_row13_col0\" class=\"data row13 col0\" >484590</td>\n",
       "      <td id=\"T_872d8_row13_col1\" class=\"data row13 col1\" >삼양컴텍</td>\n",
       "      <td id=\"T_872d8_row13_col2\" class=\"data row13 col2\" >WICS 상사,자본재</td>\n",
       "      <td id=\"T_872d8_row13_col3\" class=\"data row13 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row14\" class=\"row_heading level0 row14\" >14</th>\n",
       "      <td id=\"T_872d8_row14_col0\" class=\"data row14 col0\" >091120</td>\n",
       "      <td id=\"T_872d8_row14_col1\" class=\"data row14 col1\" >이엠텍</td>\n",
       "      <td id=\"T_872d8_row14_col2\" class=\"data row14 col2\" >WICS IT하드웨어</td>\n",
       "      <td id=\"T_872d8_row14_col3\" class=\"data row14 col3\" >0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_872d8_level0_row15\" class=\"row_heading level0 row15\" >15</th>\n",
       "      <td id=\"T_872d8_row15_col0\" class=\"data row15 col0\" >078140</td>\n",
       "      <td id=\"T_872d8_row15_col1\" class=\"data row15 col1\" >대봉엘에스</td>\n",
       "      <td id=\"T_872d8_row15_col2\" class=\"data row15 col2\" >WICS 건강관리</td>\n",
       "      <td id=\"T_872d8_row15_col3\" class=\"data row15 col3\" >0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x111ac7f80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "management = component_payload['management_outlook']['diagnostics']\n",
    "management_sector = pd.DataFrame(management['sector_detail'])\n",
    "management_sector['업종'] = management_sector['sector_code'].map(sector_name_map)\n",
    "management_sector = management_sector.sort_values('score')\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(15, 6), gridspec_kw={'width_ratios':[.75, 1.55]})\n",
    "counts = [management['positive_companies'], management['negative_companies'], management['neutral_companies']]\n",
    "axes[0].pie(counts, labels=['긍정', '부정', '중립'], colors=[GREEN, RED, LIGHT], autopct='%1.1f%%',\n",
    "            startangle=90, wedgeprops={'width':.42, 'edgecolor':'white'})\n",
    "axes[0].text(0, 0, f\"중앙값\\n{management['median_tone_score']}\", ha='center', va='center', fontweight='bold')\n",
    "axes[0].set_title('기업별 컨콜 톤 분포', fontweight='bold')\n",
    "\n",
    "axes[1].barh(management_sector['업종'], management_sector['score'], color=[score_color(v) for v in management_sector['score']])\n",
    "axes[1].axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "finish_axis(axes[1])\n",
    "axes[1].set_title('업종별 경영진 전망 점수', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "management_extremes = pd.DataFrame(management['company_extremes'])\n",
    "management_extremes['업종'] = management_extremes['sector_code'].map(sector_name_map)\n",
    "display(Markdown('**컨콜 톤 상·하위 기업(텍스트 원문 재확인 대상)**'))\n",
    "display(management_extremes[['ticker','name','업종','tone_score']]\n",
    "        .sort_values('tone_score', ascending=False)\n",
    "        .rename(columns={'ticker':'종목코드','name':'기업','tone_score':'톤 점수'})\n",
    "        .style.format({'톤 점수':'{:.1f}'})\n",
    "        .background_gradient(subset=['톤 점수'], cmap='RdYlGn', vmin=0, vmax=100))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "sector-title",
   "metadata": {
    "papermill": {
     "duration": 0.00264,
     "end_time": "2026-10-29T21:45:47.668140+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.665500+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 6. WICS 업종 종합판\n",
    "\n",
    "각 업종의 최종 선행 점수와 어떤 구성요소가 그 점수를 만들었는지 동시에 확인합니다. 가용 가중치가 낮은 업종은 순위보다 데이터 보강 여부를 우선 봐야 합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "sector-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:47.718258Z",
     "iopub.status.busy": "2026-10-29T21:45:47.717432Z",
     "iopub.status.idle": "2026-10-29T21:45:48.303015Z",
     "shell.execute_reply": "2026-10-29T21:45:48.301283Z"
    },
    "papermill": {
     "duration": 0.635845,
     "end_time": "2026-10-29T21:45:48.306594+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:47.670749+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x884 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1100x962 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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       "#T_7ecad_row0_col1 {\n",
       "  background-color: #69be63;\n",
       "  color: #f1f1f1;\n",
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       "#T_7ecad_row1_col1 {\n",
       "  background-color: #a7d96b;\n",
       "  color: #000000;\n",
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       "  background-color: #b3df72;\n",
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       "<table id=\"T_7ecad\">\n",
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       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_7ecad_level0_col0\" class=\"col_heading level0 col0\" >업종</th>\n",
       "      <th id=\"T_7ecad_level0_col1\" class=\"col_heading level0 col1\" >선행점수</th>\n",
       "      <th id=\"T_7ecad_level0_col2\" class=\"col_heading level0 col2\" >가용가중치</th>\n",
       "      <th id=\"T_7ecad_level0_col3\" class=\"col_heading level0 col3\" >증권사 전망 수정</th>\n",
       "      <th id=\"T_7ecad_level0_col4\" class=\"col_heading level0 col4\" >잠정 수출 확산</th>\n",
       "      <th id=\"T_7ecad_level0_col5\" class=\"col_heading level0 col5\" >영업 레버리지 확산</th>\n",
       "      <th id=\"T_7ecad_level0_col6\" class=\"col_heading level0 col6\" >수주잔고 확산</th>\n",
       "      <th id=\"T_7ecad_level0_col7\" class=\"col_heading level0 col7\" >경영진 전망</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th class=\"index_name level0\" >업종코드</th>\n",
       "      <th class=\"blank col0\" >&nbsp;</th>\n",
       "      <th class=\"blank col1\" >&nbsp;</th>\n",
       "      <th class=\"blank col2\" >&nbsp;</th>\n",
       "      <th class=\"blank col3\" >&nbsp;</th>\n",
       "      <th class=\"blank col4\" >&nbsp;</th>\n",
       "      <th class=\"blank col5\" >&nbsp;</th>\n",
       "      <th class=\"blank col6\" >&nbsp;</th>\n",
       "      <th class=\"blank col7\" >&nbsp;</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row0\" class=\"row_heading level0 row0\" >WI620</th>\n",
       "      <td id=\"T_7ecad_row0_col0\" class=\"data row0 col0\" >WICS 반도체</td>\n",
       "      <td id=\"T_7ecad_row0_col1\" class=\"data row0 col1\" >79.4</td>\n",
       "      <td id=\"T_7ecad_row0_col2\" class=\"data row0 col2\" >100%</td>\n",
       "      <td id=\"T_7ecad_row0_col3\" class=\"data row0 col3\" >55.7</td>\n",
       "      <td id=\"T_7ecad_row0_col4\" class=\"data row0 col4\" >100.0</td>\n",
       "      <td id=\"T_7ecad_row0_col5\" class=\"data row0 col5\" >83.3</td>\n",
       "      <td id=\"T_7ecad_row0_col6\" class=\"data row0 col6\" >75.0</td>\n",
       "      <td id=\"T_7ecad_row0_col7\" class=\"data row0 col7\" >76.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row1\" class=\"row_heading level0 row1\" >WI240</th>\n",
       "      <td id=\"T_7ecad_row1_col0\" class=\"data row1 col0\" >WICS 조선</td>\n",
       "      <td id=\"T_7ecad_row1_col1\" class=\"data row1 col1\" >69.8</td>\n",
       "      <td id=\"T_7ecad_row1_col2\" class=\"data row1 col2\" >100%</td>\n",
       "      <td id=\"T_7ecad_row1_col3\" class=\"data row1 col3\" >15.9</td>\n",
       "      <td id=\"T_7ecad_row1_col4\" class=\"data row1 col4\" >100.0</td>\n",
       "      <td id=\"T_7ecad_row1_col5\" class=\"data row1 col5\" >62.5</td>\n",
       "      <td id=\"T_7ecad_row1_col6\" class=\"data row1 col6\" >94.4</td>\n",
       "      <td id=\"T_7ecad_row1_col7\" class=\"data row1 col7\" >91.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row2\" class=\"row_heading level0 row2\" >WI310</th>\n",
       "      <td id=\"T_7ecad_row2_col0\" class=\"data row2 col0\" >WICS 화장품,의류,완구</td>\n",
       "      <td id=\"T_7ecad_row2_col1\" class=\"data row2 col1\" >67.5</td>\n",
       "      <td id=\"T_7ecad_row2_col2\" class=\"data row2 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row2_col3\" class=\"data row2 col3\" >48.4</td>\n",
       "      <td id=\"T_7ecad_row2_col4\" class=\"data row2 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row2_col5\" class=\"data row2 col5\" >100.0</td>\n",
       "      <td id=\"T_7ecad_row2_col6\" class=\"data row2 col6\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row2_col7\" class=\"data row2 col7\" >76.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row3\" class=\"row_heading level0 row3\" >WI640</th>\n",
       "      <td id=\"T_7ecad_row3_col0\" class=\"data row3 col0\" >WICS 디스플레이</td>\n",
       "      <td id=\"T_7ecad_row3_col1\" class=\"data row3 col1\" >67.0</td>\n",
       "      <td id=\"T_7ecad_row3_col2\" class=\"data row3 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row3_col3\" class=\"data row3 col3\" >37.9</td>\n",
       "      <td id=\"T_7ecad_row3_col4\" class=\"data row3 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row3_col5\" class=\"data row3 col5\" >83.3</td>\n",
       "      <td id=\"T_7ecad_row3_col6\" class=\"data row3 col6\" >88.9</td>\n",
       "      <td id=\"T_7ecad_row3_col7\" class=\"data row3 col7\" >74.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row4\" class=\"row_heading level0 row4\" >WI100</th>\n",
       "      <td id=\"T_7ecad_row4_col0\" class=\"data row4 col0\" >WICS 에너지</td>\n",
       "      <td id=\"T_7ecad_row4_col1\" class=\"data row4 col1\" >62.8</td>\n",
       "      <td id=\"T_7ecad_row4_col2\" class=\"data row4 col2\" >100%</td>\n",
       "      <td id=\"T_7ecad_row4_col3\" class=\"data row4 col3\" >46.8</td>\n",
       "      <td id=\"T_7ecad_row4_col4\" class=\"data row4 col4\" >100.0</td>\n",
       "      <td id=\"T_7ecad_row4_col5\" class=\"data row4 col5\" >44.4</td>\n",
       "      <td id=\"T_7ecad_row4_col6\" class=\"data row4 col6\" >36.4</td>\n",
       "      <td id=\"T_7ecad_row4_col7\" class=\"data row4 col7\" >68.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row5\" class=\"row_heading level0 row5\" >WI210</th>\n",
       "      <td id=\"T_7ecad_row5_col0\" class=\"data row5 col0\" >WICS 철강</td>\n",
       "      <td id=\"T_7ecad_row5_col1\" class=\"data row5 col1\" >61.5</td>\n",
       "      <td id=\"T_7ecad_row5_col2\" class=\"data row5 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row5_col3\" class=\"data row5 col3\" >48.6</td>\n",
       "      <td id=\"T_7ecad_row5_col4\" class=\"data row5 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row5_col5\" class=\"data row5 col5\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row5_col6\" class=\"data row5 col6\" >100.0</td>\n",
       "      <td id=\"T_7ecad_row5_col7\" class=\"data row5 col7\" >58.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row6\" class=\"row_heading level0 row6\" >WI260</th>\n",
       "      <td id=\"T_7ecad_row6_col0\" class=\"data row6 col0\" >WICS 운송</td>\n",
       "      <td id=\"T_7ecad_row6_col1\" class=\"data row6 col1\" >57.5</td>\n",
       "      <td id=\"T_7ecad_row6_col2\" class=\"data row6 col2\" >25%</td>\n",
       "      <td id=\"T_7ecad_row6_col3\" class=\"data row6 col3\" >57.5</td>\n",
       "      <td id=\"T_7ecad_row6_col4\" class=\"data row6 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row6_col5\" class=\"data row6 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row6_col6\" class=\"data row6 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row6_col7\" class=\"data row6 col7\" >—</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row7\" class=\"row_heading level0 row7\" >WI410</th>\n",
       "      <td id=\"T_7ecad_row7_col0\" class=\"data row7 col0\" >WICS 건강관리</td>\n",
       "      <td id=\"T_7ecad_row7_col1\" class=\"data row7 col1\" >57.3</td>\n",
       "      <td id=\"T_7ecad_row7_col2\" class=\"data row7 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row7_col3\" class=\"data row7 col3\" >37.5</td>\n",
       "      <td id=\"T_7ecad_row7_col4\" class=\"data row7 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row7_col5\" class=\"data row7 col5\" >66.7</td>\n",
       "      <td id=\"T_7ecad_row7_col6\" class=\"data row7 col6\" >75.0</td>\n",
       "      <td id=\"T_7ecad_row7_col7\" class=\"data row7 col7\" >61.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row8\" class=\"row_heading level0 row8\" >WI700</th>\n",
       "      <td id=\"T_7ecad_row8_col0\" class=\"data row8 col0\" >WICS 통신서비스</td>\n",
       "      <td id=\"T_7ecad_row8_col1\" class=\"data row8 col1\" >57.3</td>\n",
       "      <td id=\"T_7ecad_row8_col2\" class=\"data row8 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row8_col3\" class=\"data row8 col3\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row8_col4\" class=\"data row8 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row8_col5\" class=\"data row8 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row8_col6\" class=\"data row8 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row8_col7\" class=\"data row8 col7\" >75.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row9\" class=\"row_heading level0 row9\" >WI220</th>\n",
       "      <td id=\"T_7ecad_row9_col0\" class=\"data row9 col0\" >WICS 건설,건축관련</td>\n",
       "      <td id=\"T_7ecad_row9_col1\" class=\"data row9 col1\" >56.7</td>\n",
       "      <td id=\"T_7ecad_row9_col2\" class=\"data row9 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row9_col3\" class=\"data row9 col3\" >52.7</td>\n",
       "      <td id=\"T_7ecad_row9_col4\" class=\"data row9 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row9_col5\" class=\"data row9 col5\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row9_col6\" class=\"data row9 col6\" >73.3</td>\n",
       "      <td id=\"T_7ecad_row9_col7\" class=\"data row9 col7\" >55.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row10\" class=\"row_heading level0 row10\" >WI400</th>\n",
       "      <td id=\"T_7ecad_row10_col0\" class=\"data row10 col0\" >WICS 필수소비재</td>\n",
       "      <td id=\"T_7ecad_row10_col1\" class=\"data row10 col1\" >55.9</td>\n",
       "      <td id=\"T_7ecad_row10_col2\" class=\"data row10 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row10_col3\" class=\"data row10 col3\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row10_col4\" class=\"data row10 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row10_col5\" class=\"data row10 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row10_col6\" class=\"data row10 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row10_col7\" class=\"data row10 col7\" >70.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row11\" class=\"row_heading level0 row11\" >WI520</th>\n",
       "      <td id=\"T_7ecad_row11_col0\" class=\"data row11 col0\" >WICS 보험</td>\n",
       "      <td id=\"T_7ecad_row11_col1\" class=\"data row11 col1\" >53.8</td>\n",
       "      <td id=\"T_7ecad_row11_col2\" class=\"data row11 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row11_col3\" class=\"data row11 col3\" >48.0</td>\n",
       "      <td id=\"T_7ecad_row11_col4\" class=\"data row11 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row11_col5\" class=\"data row11 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row11_col6\" class=\"data row11 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row11_col7\" class=\"data row11 col7\" >68.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row12\" class=\"row_heading level0 row12\" >WI230</th>\n",
       "      <td id=\"T_7ecad_row12_col0\" class=\"data row12 col0\" >WICS 기계</td>\n",
       "      <td id=\"T_7ecad_row12_col1\" class=\"data row12 col1\" >53.5</td>\n",
       "      <td id=\"T_7ecad_row12_col2\" class=\"data row12 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row12_col3\" class=\"data row12 col3\" >34.8</td>\n",
       "      <td id=\"T_7ecad_row12_col4\" class=\"data row12 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row12_col5\" class=\"data row12 col5\" >66.7</td>\n",
       "      <td id=\"T_7ecad_row12_col6\" class=\"data row12 col6\" >54.2</td>\n",
       "      <td id=\"T_7ecad_row12_col7\" class=\"data row12 col7\" >72.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row13\" class=\"row_heading level0 row13\" >WI610</th>\n",
       "      <td id=\"T_7ecad_row13_col0\" class=\"data row13 col0\" >WICS IT하드웨어</td>\n",
       "      <td id=\"T_7ecad_row13_col1\" class=\"data row13 col1\" >52.1</td>\n",
       "      <td id=\"T_7ecad_row13_col2\" class=\"data row13 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row13_col3\" class=\"data row13 col3\" >48.6</td>\n",
       "      <td id=\"T_7ecad_row13_col4\" class=\"data row13 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row13_col5\" class=\"data row13 col5\" >41.7</td>\n",
       "      <td id=\"T_7ecad_row13_col6\" class=\"data row13 col6\" >60.0</td>\n",
       "      <td id=\"T_7ecad_row13_col7\" class=\"data row13 col7\" >70.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row14\" class=\"row_heading level0 row14\" >WI250</th>\n",
       "      <td id=\"T_7ecad_row14_col0\" class=\"data row14 col0\" >WICS 상사,자본재</td>\n",
       "      <td id=\"T_7ecad_row14_col1\" class=\"data row14 col1\" >50.4</td>\n",
       "      <td id=\"T_7ecad_row14_col2\" class=\"data row14 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row14_col3\" class=\"data row14 col3\" >40.8</td>\n",
       "      <td id=\"T_7ecad_row14_col4\" class=\"data row14 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row14_col5\" class=\"data row14 col5\" >60.0</td>\n",
       "      <td id=\"T_7ecad_row14_col6\" class=\"data row14 col6\" >55.6</td>\n",
       "      <td id=\"T_7ecad_row14_col7\" class=\"data row14 col7\" >47.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row15\" class=\"row_heading level0 row15\" >WI630</th>\n",
       "      <td id=\"T_7ecad_row15_col0\" class=\"data row15 col0\" >WICS IT가전</td>\n",
       "      <td id=\"T_7ecad_row15_col1\" class=\"data row15 col1\" >47.1</td>\n",
       "      <td id=\"T_7ecad_row15_col2\" class=\"data row15 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row15_col3\" class=\"data row15 col3\" >58.9</td>\n",
       "      <td id=\"T_7ecad_row15_col4\" class=\"data row15 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row15_col5\" class=\"data row15 col5\" >22.2</td>\n",
       "      <td id=\"T_7ecad_row15_col6\" class=\"data row15 col6\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row15_col7\" class=\"data row15 col7\" >62.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row16\" class=\"row_heading level0 row16\" >WI200</th>\n",
       "      <td id=\"T_7ecad_row16_col0\" class=\"data row16 col0\" >WICS 비철,목재등</td>\n",
       "      <td id=\"T_7ecad_row16_col1\" class=\"data row16 col1\" >46.4</td>\n",
       "      <td id=\"T_7ecad_row16_col2\" class=\"data row16 col2\" >45%</td>\n",
       "      <td id=\"T_7ecad_row16_col3\" class=\"data row16 col3\" >43.5</td>\n",
       "      <td id=\"T_7ecad_row16_col4\" class=\"data row16 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row16_col5\" class=\"data row16 col5\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row16_col6\" class=\"data row16 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row16_col7\" class=\"data row16 col7\" >—</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row17\" class=\"row_heading level0 row17\" >WI110</th>\n",
       "      <td id=\"T_7ecad_row17_col0\" class=\"data row17 col0\" >WICS 화학</td>\n",
       "      <td id=\"T_7ecad_row17_col1\" class=\"data row17 col1\" >44.8</td>\n",
       "      <td id=\"T_7ecad_row17_col2\" class=\"data row17 col2\" >50%</td>\n",
       "      <td id=\"T_7ecad_row17_col3\" class=\"data row17 col3\" >34.1</td>\n",
       "      <td id=\"T_7ecad_row17_col4\" class=\"data row17 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row17_col5\" class=\"data row17 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row17_col6\" class=\"data row17 col6\" >50.0</td>\n",
       "      <td id=\"T_7ecad_row17_col7\" class=\"data row17 col7\" >63.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row18\" class=\"row_heading level0 row18\" >WI600</th>\n",
       "      <td id=\"T_7ecad_row18_col0\" class=\"data row18 col0\" >WICS 소프트웨어</td>\n",
       "      <td id=\"T_7ecad_row18_col1\" class=\"data row18 col1\" >44.6</td>\n",
       "      <td id=\"T_7ecad_row18_col2\" class=\"data row18 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row18_col3\" class=\"data row18 col3\" >39.2</td>\n",
       "      <td id=\"T_7ecad_row18_col4\" class=\"data row18 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row18_col5\" class=\"data row18 col5\" >42.9</td>\n",
       "      <td id=\"T_7ecad_row18_col6\" class=\"data row18 col6\" >40.0</td>\n",
       "      <td id=\"T_7ecad_row18_col7\" class=\"data row18 col7\" >68.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row19\" class=\"row_heading level0 row19\" >WI300</th>\n",
       "      <td id=\"T_7ecad_row19_col0\" class=\"data row19 col0\" >WICS 자동차</td>\n",
       "      <td id=\"T_7ecad_row19_col1\" class=\"data row19 col1\" >42.7</td>\n",
       "      <td id=\"T_7ecad_row19_col2\" class=\"data row19 col2\" >70%</td>\n",
       "      <td id=\"T_7ecad_row19_col3\" class=\"data row19 col3\" >25.2</td>\n",
       "      <td id=\"T_7ecad_row19_col4\" class=\"data row19 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row19_col5\" class=\"data row19 col5\" >66.7</td>\n",
       "      <td id=\"T_7ecad_row19_col6\" class=\"data row19 col6\" >25.0</td>\n",
       "      <td id=\"T_7ecad_row19_col7\" class=\"data row19 col7\" >64.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row20\" class=\"row_heading level0 row20\" >WI500</th>\n",
       "      <td id=\"T_7ecad_row20_col0\" class=\"data row20 col0\" >WICS 은행</td>\n",
       "      <td id=\"T_7ecad_row20_col1\" class=\"data row20 col1\" >42.4</td>\n",
       "      <td id=\"T_7ecad_row20_col2\" class=\"data row20 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row20_col3\" class=\"data row20 col3\" >35.2</td>\n",
       "      <td id=\"T_7ecad_row20_col4\" class=\"data row20 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row20_col5\" class=\"data row20 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row20_col6\" class=\"data row20 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row20_col7\" class=\"data row20 col7\" >60.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row21\" class=\"row_heading level0 row21\" >WI330</th>\n",
       "      <td id=\"T_7ecad_row21_col0\" class=\"data row21 col0\" >WICS 미디어,교육</td>\n",
       "      <td id=\"T_7ecad_row21_col1\" class=\"data row21 col1\" >39.5</td>\n",
       "      <td id=\"T_7ecad_row21_col2\" class=\"data row21 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row21_col3\" class=\"data row21 col3\" >26.1</td>\n",
       "      <td id=\"T_7ecad_row21_col4\" class=\"data row21 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row21_col5\" class=\"data row21 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row21_col6\" class=\"data row21 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row21_col7\" class=\"data row21 col7\" >73.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row22\" class=\"row_heading level0 row22\" >WI340</th>\n",
       "      <td id=\"T_7ecad_row22_col0\" class=\"data row22 col0\" >WICS 소매(유통)</td>\n",
       "      <td id=\"T_7ecad_row22_col1\" class=\"data row22 col1\" >35.2</td>\n",
       "      <td id=\"T_7ecad_row22_col2\" class=\"data row22 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row22_col3\" class=\"data row22 col3\" >27.5</td>\n",
       "      <td id=\"T_7ecad_row22_col4\" class=\"data row22 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row22_col5\" class=\"data row22 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row22_col6\" class=\"data row22 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row22_col7\" class=\"data row22 col7\" >54.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row23\" class=\"row_heading level0 row23\" >WI800</th>\n",
       "      <td id=\"T_7ecad_row23_col0\" class=\"data row23 col0\" >WICS 유틸리티</td>\n",
       "      <td id=\"T_7ecad_row23_col1\" class=\"data row23 col1\" >33.3</td>\n",
       "      <td id=\"T_7ecad_row23_col2\" class=\"data row23 col2\" >25%</td>\n",
       "      <td id=\"T_7ecad_row23_col3\" class=\"data row23 col3\" >33.3</td>\n",
       "      <td id=\"T_7ecad_row23_col4\" class=\"data row23 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row23_col5\" class=\"data row23 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row23_col6\" class=\"data row23 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row23_col7\" class=\"data row23 col7\" >—</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row24\" class=\"row_heading level0 row24\" >WI510</th>\n",
       "      <td id=\"T_7ecad_row24_col0\" class=\"data row24 col0\" >WICS 증권</td>\n",
       "      <td id=\"T_7ecad_row24_col1\" class=\"data row24 col1\" >33.0</td>\n",
       "      <td id=\"T_7ecad_row24_col2\" class=\"data row24 col2\" >35%</td>\n",
       "      <td id=\"T_7ecad_row24_col3\" class=\"data row24 col3\" >10.0</td>\n",
       "      <td id=\"T_7ecad_row24_col4\" class=\"data row24 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row24_col5\" class=\"data row24 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row24_col6\" class=\"data row24 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row24_col7\" class=\"data row24 col7\" >90.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_7ecad_level0_row25\" class=\"row_heading level0 row25\" >WI320</th>\n",
       "      <td id=\"T_7ecad_row25_col0\" class=\"data row25 col0\" >WICS 호텔,레저서비스</td>\n",
       "      <td id=\"T_7ecad_row25_col1\" class=\"data row25 col1\" >20.7</td>\n",
       "      <td id=\"T_7ecad_row25_col2\" class=\"data row25 col2\" >25%</td>\n",
       "      <td id=\"T_7ecad_row25_col3\" class=\"data row25 col3\" >20.7</td>\n",
       "      <td id=\"T_7ecad_row25_col4\" class=\"data row25 col4\" >—</td>\n",
       "      <td id=\"T_7ecad_row25_col5\" class=\"data row25 col5\" >—</td>\n",
       "      <td id=\"T_7ecad_row25_col6\" class=\"data row25 col6\" >—</td>\n",
       "      <td id=\"T_7ecad_row25_col7\" class=\"data row25 col7\" >—</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1114b8bf0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sector_view = result.sectors.copy()\n",
    "component_cols = ['증권사 전망 수정','잠정 수출 확산','영업 레버리지 확산','수주잔고 확산','경영진 전망']\n",
    "ranked = sector_view.dropna(subset=['선행점수']).sort_values('선행점수')\n",
    "\n",
    "fig, ax = plt.subplots(figsize=(11, max(7, len(ranked)*.34)))\n",
    "colors = [score_color(v) for v in ranked['선행점수']]\n",
    "ax.barh(ranked['업종'], ranked['선행점수'], color=colors)\n",
    "ax.axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "ax.axvline(60, color=GREEN, linestyle=':', linewidth=1)\n",
    "label_bars(ax, ranked['선행점수'])\n",
    "finish_axis(ax)\n",
    "ax.set_title('WICS 업종별 종합 선행 점수', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "matrix_order = sector_view.sort_values('선행점수', ascending=False)\n",
    "matrix = matrix_order[component_cols]\n",
    "fig, ax = plt.subplots(figsize=(11, max(8, len(matrix)*.37)))\n",
    "masked = np.ma.masked_invalid(matrix.to_numpy(dtype=float))\n",
    "cmap = plt.cm.RdYlGn.copy()\n",
    "cmap.set_bad('#eef2f6')\n",
    "image = ax.imshow(masked, aspect='auto', cmap=cmap, vmin=0, vmax=100)\n",
    "ax.set_xticks(range(len(component_cols)), component_cols, rotation=25, ha='right')\n",
    "ax.set_yticks(range(len(matrix)), matrix_order['업종'])\n",
    "for i in range(len(matrix)):\n",
    "    for j in range(len(component_cols)):\n",
    "        value = matrix.iloc[i, j]\n",
    "        ax.text(j, i, '—' if pd.isna(value) else f'{value:.0f}', ha='center', va='center', fontsize=8,\n",
    "                color='#64748b' if pd.isna(value) else ('white' if value < 25 or value > 80 else '#172033'))\n",
    "fig.colorbar(image, ax=ax, fraction=.025, pad=.02, label='점수')\n",
    "ax.set_title('업종×구성요소 히트맵 · 회색은 미수집', fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "display(sector_view[['업종','선행점수','가용가중치'] + component_cols]\n",
    "        .style.format({'선행점수':'{:.1f}','가용가중치':'{:.0%}', **{col:'{:.1f}' for col in component_cols}}, na_rep='—')\n",
    "        .background_gradient(subset=['선행점수'], cmap='RdYlGn', vmin=0, vmax=100))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "confirmation-title",
   "metadata": {
    "papermill": {
     "duration": 0.008635,
     "end_time": "2026-10-29T21:45:48.325893+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:48.317258+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 7. 가격 확인과 리스크 게이트\n",
    "\n",
    "가격·수급이 약해도 선행 펀더멘털 점수를 깎지 않습니다. 리스크 게이트 역시 선행 신호를 삭제하지 않고 실제 진입 시점의 엄격도를 높입니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "confirmation-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:48.344941Z",
     "iopub.status.busy": "2026-10-29T21:45:48.344794Z",
     "iopub.status.idle": "2026-10-29T21:45:48.492865Z",
     "shell.execute_reply": "2026-10-29T21:45:48.492186Z"
    },
    "papermill": {
     "duration": 0.157245,
     "end_time": "2026-10-29T21:45:48.493554+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:48.336309+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1400x420 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/markdown": [
       "**가격 확인 해석:** 선행 점수와 분리된 가격·수급 확인층  \n",
       "**리스크 근거:** V-KOSPI 35 이상  \n",
       "**기준일:** 가격 2026-10-29 · 리스크 2026-10-28"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "price_data = payload['price_confirmation']\n",
    "risk_data = payload['risk']\n",
    "vkospi_normalized = float(np.clip((risk_data['vkospi']-15)/25*100, 0, 100)) if risk_data.get('vkospi') is not None else np.nan\n",
    "\n",
    "fig, axes = plt.subplots(1, 2, figsize=(14, 4.2))\n",
    "p_labels = ['ETF 업종 breadth', '20일 업종 수급 breadth', '가격 확인 종합']\n",
    "p_values = [price_data.get('etf_sector_breadth_score'), price_data.get('twenty_day_sector_flow_breadth'), price_data.get('score')]\n",
    "axes[0].barh(p_labels, p_values, color=[score_color(v) for v in p_values])\n",
    "axes[0].axvline(50, color=SLATE, linestyle='--', linewidth=1)\n",
    "label_bars(axes[0], p_values)\n",
    "finish_axis(axes[0])\n",
    "axes[0].set_title('가격·수급 확인층', fontweight='bold')\n",
    "\n",
    "r_labels = ['신용융자 백분위', 'V-KOSPI 정규화', '리스크 종합']\n",
    "r_values = [risk_data.get('credit_percentile'), vkospi_normalized, risk_data.get('stress_score')]\n",
    "axes[1].barh(r_labels, r_values, color=[score_color(v, reverse=True) for v in r_values])\n",
    "axes[1].axvline(75, color=RED, linestyle='--', linewidth=1)\n",
    "label_bars(axes[1], r_values)\n",
    "finish_axis(axes[1], xlabel='스트레스 점수')\n",
    "axes[1].set_title(f\"리스크 게이트 · V-KOSPI {risk_data.get('vkospi')}\", fontweight='bold')\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "display(Markdown(\n",
    "    f\"**가격 확인 해석:** {price_data['interpretation']}  \\n\"\n",
    "    f\"**리스크 근거:** {' / '.join(payload['risk_reasons']) or '없음'}  \\n\"\n",
    "    f\"**기준일:** 가격 {price_data.get('as_of')} · 리스크 {risk_data.get('as_of')}\"\n",
    "))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "quality-title",
   "metadata": {
    "papermill": {
     "duration": 0.003864,
     "end_time": "2026-10-29T21:45:48.501596+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:48.497732+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "## 8. 데이터 품질과 해석 제한\n",
    "\n",
    "이 표는 점수에 대한 신뢰도를 판단하는 체크리스트입니다. 수집 지연이나 비교 이력 부족이 있으면 신호 방향보다 먼저 확인합니다."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "quality-dashboard",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-29T21:45:48.511347Z",
     "iopub.status.busy": "2026-10-29T21:45:48.511232Z",
     "iopub.status.idle": "2026-10-29T21:45:48.518803Z",
     "shell.execute_reply": "2026-10-29T21:45:48.518406Z"
    },
    "papermill": {
     "duration": 0.013504,
     "end_time": "2026-10-29T21:45:48.519162+00:00",
     "exception": false,
     "start_time": "2026-10-29T21:45:48.505658+00:00",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style type=\"text/css\">\n",
       "#T_8fda5_row0_col1, #T_8fda5_row1_col1, #T_8fda5_row2_col1, #T_8fda5_row3_col1, #T_8fda5_row4_col1 {\n",
       "  color: #247a5a;\n",
       "  font-weight: 600;\n",
       "}\n",
       "</style>\n",
       "<table id=\"T_8fda5\">\n",
       "  <thead>\n",
       "    <tr>\n",
       "      <th class=\"blank level0\" >&nbsp;</th>\n",
       "      <th id=\"T_8fda5_level0_col0\" class=\"col_heading level0 col0\" >구성요소</th>\n",
       "      <th id=\"T_8fda5_level0_col1\" class=\"col_heading level0 col1\" >상태</th>\n",
       "      <th id=\"T_8fda5_level0_col2\" class=\"col_heading level0 col2\" >기준시점</th>\n",
       "      <th id=\"T_8fda5_level0_col3\" class=\"col_heading level0 col3\" >표본수</th>\n",
       "      <th id=\"T_8fda5_level0_col4\" class=\"col_heading level0 col4\" >업종수</th>\n",
       "      <th id=\"T_8fda5_level0_col5\" class=\"col_heading level0 col5\" >매핑커버리지</th>\n",
       "      <th id=\"T_8fda5_level0_col6\" class=\"col_heading level0 col6\" >설명</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th id=\"T_8fda5_level0_row0\" class=\"row_heading level0 row0\" >0</th>\n",
       "      <td id=\"T_8fda5_row0_col0\" class=\"data row0 col0\" >증권사 전망 수정</td>\n",
       "      <td id=\"T_8fda5_row0_col1\" class=\"data row0 col1\" >사용</td>\n",
       "      <td id=\"T_8fda5_row0_col2\" class=\"data row0 col2\" >2026-10-29</td>\n",
       "      <td id=\"T_8fda5_row0_col3\" class=\"data row0 col3\" >2124</td>\n",
       "      <td id=\"T_8fda5_row0_col4\" class=\"data row0 col4\" >26</td>\n",
       "      <td id=\"T_8fda5_row0_col5\" class=\"data row0 col5\" >99.5%</td>\n",
       "      <td id=\"T_8fda5_row0_col6\" class=\"data row0 col6\" >기업×증권사 최신 목표주가 방향; EPS 리비전의 대용치</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8fda5_level0_row1\" class=\"row_heading level0 row1\" >1</th>\n",
       "      <td id=\"T_8fda5_row1_col0\" class=\"data row1 col0\" >잠정 수출 확산</td>\n",
       "      <td id=\"T_8fda5_row1_col1\" class=\"data row1 col1\" >사용</td>\n",
       "      <td id=\"T_8fda5_row1_col2\" class=\"data row1 col2\" >202610</td>\n",
       "      <td id=\"T_8fda5_row1_col3\" class=\"data row1 col3\" >3</td>\n",
       "      <td id=\"T_8fda5_row1_col4\" class=\"data row1 col4\" >3</td>\n",
       "      <td id=\"T_8fda5_row1_col5\" class=\"data row1 col5\" >60.0%</td>\n",
       "      <td id=\"T_8fda5_row1_col6\" class=\"data row1 col6\" >202610 01~20, 전년 동일 기간과 정의가 이어지는 3개 품목군, 수집 2026-10-26 21:23:26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8fda5_level0_row2\" class=\"row_heading level0 row2\" >2</th>\n",
       "      <td id=\"T_8fda5_row2_col0\" class=\"data row2 col0\" >영업 레버리지 확산</td>\n",
       "      <td id=\"T_8fda5_row2_col1\" class=\"data row2 col1\" >사용</td>\n",
       "      <td id=\"T_8fda5_row2_col2\" class=\"data row2 col2\" >2026Q2</td>\n",
       "      <td id=\"T_8fda5_row2_col3\" class=\"data row2 col3\" >125</td>\n",
       "      <td id=\"T_8fda5_row2_col4\" class=\"data row2 col4\" >15</td>\n",
       "      <td id=\"T_8fda5_row2_col5\" class=\"data row2 col5\" >93.3%</td>\n",
       "      <td id=\"T_8fda5_row2_col6\" class=\"data row2 col6\" >2025Q2 대비 영업이익 증가율이 매출 증가율을 웃도는 기업 비율</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8fda5_level0_row3\" class=\"row_heading level0 row3\" >3</th>\n",
       "      <td id=\"T_8fda5_row3_col0\" class=\"data row3 col0\" >수주잔고 확산</td>\n",
       "      <td id=\"T_8fda5_row3_col1\" class=\"data row3 col1\" >사용</td>\n",
       "      <td id=\"T_8fda5_row3_col2\" class=\"data row3 col2\" >2026Q2</td>\n",
       "      <td id=\"T_8fda5_row3_col3\" class=\"data row3 col3\" >175</td>\n",
       "      <td id=\"T_8fda5_row3_col4\" class=\"data row3 col4\" >15</td>\n",
       "      <td id=\"T_8fda5_row3_col5\" class=\"data row3 col5\" >82.5%</td>\n",
       "      <td id=\"T_8fda5_row3_col6\" class=\"data row3 col6\" >2025Q2 대비 증가 기업 비율; DART 단위 정규화, 갱신 20261014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th id=\"T_8fda5_level0_row4\" class=\"row_heading level0 row4\" >4</th>\n",
       "      <td id=\"T_8fda5_row4_col0\" class=\"data row4 col0\" >경영진 전망</td>\n",
       "      <td id=\"T_8fda5_row4_col1\" class=\"data row4 col1\" >사용</td>\n",
       "      <td id=\"T_8fda5_row4_col2\" class=\"data row4 col2\" >2026-10-28</td>\n",
       "      <td id=\"T_8fda5_row4_col3\" class=\"data row4 col3\" >208</td>\n",
       "      <td id=\"T_8fda5_row4_col4\" class=\"data row4 col4\" >22</td>\n",
       "      <td id=\"T_8fda5_row4_col5\" class=\"data row4 col5\" >92.4%</td>\n",
       "      <td id=\"T_8fda5_row4_col6\" class=\"data row4 col6\" >최근 90일 최신 컨콜의 전망·리스크 키워드 균형; 실험적 보조지표</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n"
      ],
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       "<pandas.io.formats.style.Styler at 0x111d9dfa0>"
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     "data": {
      "text/markdown": [
       "### 현재 제한사항"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
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    {
     "data": {
      "text/markdown": [
       "- 국내 리포트 목표주가 방향은 EPS 추정치 수정의 대용치\n",
       "- 잠정 수출은 전년과 품목 정의가 이어지는 품목군만 비교\n",
       "- 영업 레버리지는 전년 동기 영업이익 이력이 쌓일 때까지 자동 미사용\n",
       "- 컨콜 전망 점수는 규칙 기반 텍스트 보조지표\n",
       "- 가격 확인 점수는 선행 점수에 포함하지 않음"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
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     "data": {
      "text/markdown": [
       "**산식:** 선행 펀더멘털과 가격 확인을 분리하고, 각 원천을 WICS 업종별로 먼저 집계한 뒤 업종 동일가중. 미수집 데이터는 0점이 아니라 가중치에서 제외.  \n",
       "**생성시각:** 2026-10-30T06:45:45"
      ],
      "text/plain": [
       "<IPython.core.display.Markdown object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "quality = result.components.reset_index()[['구성요소','상태','기준시점','표본수','업종수','매핑커버리지','설명']]\n",
    "display(quality.style.format({'매핑커버리지':'{:.1f}%'})\n",
    "        .map(lambda value: 'color:#247a5a;font-weight:600' if value == '사용' else ('color:#c2413b;font-weight:600' if value == '미사용' else ''), subset=['상태']))\n",
    "\n",
    "display(Markdown('### 현재 제한사항'))\n",
    "display(Markdown('\\n'.join(f'- {item}' for item in payload['limitations'])))\n",
    "display(Markdown(f\"**산식:** {payload['method']}  \\n**생성시각:** {payload['generated_at']}\"))\n"
   ]
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   "cell_type": "markdown",
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   "source": [
    "## 읽는 순서\n",
    "\n",
    "1. **선행 펀더멘털**이 60 이상인지 확인합니다.\n",
    "2. 구성요소가 한 축에만 의존하지 않는지와 `가용 가중치`를 봅니다.\n",
    "3. WICS 히트맵에서 여러 업종으로 개선이 퍼지는지 확인합니다.\n",
    "4. 가격 확인이 약하면 실패가 아니라 `아직 미반영` 가능성으로 분류합니다.\n",
    "5. 리스크오프에서는 선행 신호를 보존하되 실제 진입은 가격 확인 이후로 미룹니다.\n",
    "\n",
    "| 선행 펀더멘털 | 가격 확인 | 판단 |\n",
    "|---|---|---|\n",
    "| 높음 | 낮음 | 초기 확산 후보: 가장 선행적인 구간 |\n",
    "| 높음 | 높음 | 확산 확인 |\n",
    "| 낮음 | 높음 | 가격 선행·추격 주의 |\n",
    "| 낮음 | 낮음 | 관망 |"
   ]
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