{
  "fetched_at": "2026-10-20T03:24:17Z",
  "source_url": "https://www.kaggle.com/competitions/110-2-ntut-dl-app-hw3/data",
  "pages": [
    {
      "name": "data-description",
      "content": "The historic data of NASDAQ is uploaded (^IXIC.csv), which includes the open, high, low, close price and the volume. The data is downloaded from [Yahoo! Finance](https://finance.yahoo.com/quote/%5EIXIC/history?period1=34560000&period2=1639008000&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true).\nYou can use this as training data.  Or you can also find more data from Kaggle's [Huge Stock Market Dataset](https://www.kaggle.com/borismarjanovic/price-volume-data-for-all-us-stocks-etfs). \n",
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      "name": "Description",
      "content": "In this homework we will predict the closing price of NASDAQ index on May 31 in 2022. The final prediction should be submitted 2 days before closing date, which is May 29. You are free to use any AI model, even your own brain, to predict the price.\n\nPlease submit your answer to the Google Form before 5/30 (https://forms.gle/TJ7TR7zvQidTKWFg8).",
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    {
      "name": "Evaluation",
      "content": "## Evaluation\n\nThis time we only have public dataset. The prediction is only one floating point number: the price of NASDAQ. <b>Mean Absolute Value (MAE)</b> is used as our metric.\n\n## Submission Format\n\nThe submission file should contain a header and have the following format:\n```\nId,Expected\nNASDAQ,12000.00\n```",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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