{
  "fetched_at": "2026-10-24T16:58:40Z",
  "source_url": "https://www.kaggle.com/competitions/ctbcsec-interview/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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    {
      "name": "data-description",
      "content": "<p>本頁只提供中信證券資料人員面試所用，不保證資料內容之正確性，檔案資料請勿做為他用。</p>\n<p>檔案為Big-5編碼，下載後指定file encoding即可正確開啟</p>\n<h2>File descriptions</h2>\n<ul>\n<li><strong>Train_X.csv</strong> - 有價證券成交資料(含指數、ETF、市櫃…etc)</li>\n<li><strong>Train_Y.csv </strong> - 當日之T+10日加權指數收盤價</li>\n<li><strong>Test_X.csv</strong> - 預測目標T+10日收盤價之Trainset欄位</li>\n<li><strong>Test_Y.csv</strong> - 預測目標：20141218~20141231之T+10日收盤價</li>\n",
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    {
      "name": "Description",
      "content": "\n<p><p><p><p><p><p></p>\n<p>\n<p><p><p><p><p><p></p>\n<p>\n<p>您會拿到一段期間的台股開高低收資料以及其他市場公開資料（2014-01-01~ 2014-12-17），請利用這些資料預測（2014-12-18~ 2014-12-31）之T+10日 （有交易日）加權指數收盤價之值。</p>\n\n<p>面試評核將會以您資料處理邏輯、建模方法為主，預測結果僅供參考。因此請務必提供<strong>建模腳本</strong>並附上適當註解（R script/ Python script/ JupyterNotebook 皆可）並附上<strong>預測結果</strong>做為面試答案。</p>\n\n<p>提交之script請標註您的姓名及原受試日期，並寄送至: martin.lee@ctbcsec.com我們在收到答案會在檢視後並通知面試。</p>\n\n<p>本頁只提供中信證券資料人員面試所用，不保證資料內容之正確性，檔案資料請勿做為他用。</p>",
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      "hasIsPublished": false,
      "postTitle": "",
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    {
      "name": "Evaluation",
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