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  "fetched_at": "2026-10-20T02:52:25Z",
  "source_url": "https://www.kaggle.com/competitions/110-1-ntut-dl-app-hw3/data",
  "pages": [
    {
      "name": "data-description",
      "content": "In this homework we use the data from Kaggle's [Huge Stock Market Dataset](https://www.kaggle.com/borismarjanovic/price-volume-data-for-all-us-stocks-etfs). The dataset includes the historic data of all stocks and ETFs in the US market up to 2017. However, the data do not include index data. But you can easily download index data from [Yahoo! Finance](https://finance.yahoo.com/quote/%5EIXIC/history?period1=34560000&period2=1639008000&interval=1d&filter=history&frequency=1d&includeAdjustedClose=true).  You are free to add new stock data to your training set by crawling or downloading latest data from the Internet.  \n\nThe example historic data of NASDAQ is shown below (^IXIC.csv), which includes the open, high, low, close price and the volume.",
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      "name": "Description",
      "content": "In this homework we will predict the closing price of NASDAQ index on Dec. 23 in 2021. The final prediction should be made a week before closing date, which is Dec. 19. You are free to use any AI model, even your own brain, to predict the price. ",
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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,16000.00\n```",
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    {
      "name": "rules",
      "content": " - Don't cheat!\n - Apply yourself!\n - Have fun!",
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