{
  "id": 580843,
  "title": "What each of these fields X1 to X890 represent?",
  "url": "/competitions/drw-crypto-market-prediction/discussion/580843",
  "author_name": "",
  "post_date": "2025-05-26T19:09:13.408884700Z",
  "votes": 2,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Key Features:</p>\n<ul>\n<li>Core order book metrics (bid/ask quantities)</li>\n<li>Trade execution data (buy/sell quantities)</li>\n<li>Volume information</li>\n<li>890 anonymized features (likely technical indicators, statistical transforms, or latent representations)??</li>\n</ul>",
  "messages": [
    {
      "id": "3210128",
      "postDate": "05/26/2025 19:09:13",
      "content": "<p>Key Features:</p>\n<ul>\n<li>Core order book metrics (bid/ask quantities)</li>\n<li>Trade execution data (buy/sell quantities)</li>\n<li>Volume information</li>\n<li>890 anonymized features (likely technical indicators, statistical transforms, or latent representations)??</li>\n</ul>",
      "rawMarkdown": "Key Features:\n- Core order book metrics (bid/ask quantities)\n- Trade execution data (buy/sell quantities)\n- Volume information\n- 890 anonymized features (likely technical indicators, statistical transforms, or latent representations)??",
      "votes": null
    },
    {
      "id": "3210271",
      "postDate": "05/27/2025 01:42:33",
      "content": "<p>One can try and deduce the features to some extent based on extensive EDA, but not all features may be deciphered fully. I would suggest you to look at feature-feature interactions and extensive plots to try and decipher the inherent meaning across them and a possible hint at what they could be <a href=\"https://www.kaggle.com/vinu0526\" target=\"_blank\">@vinu0526</a> </p>",
      "rawMarkdown": "One can try and deduce the features to some extent based on extensive EDA, but not all features may be deciphered fully. I would suggest you to look at feature-feature interactions and extensive plots to try and decipher the inherent meaning across them and a possible hint at what they could be @vinu0526",
      "votes": null
    },
    {
      "id": "3210686",
      "postDate": "05/27/2025 15:21:23",
      "content": "<p>Thank you <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a>. I started with some basic EDA now. Will share any insightful details. </p>",
      "rawMarkdown": "Thank you @ravi20076. I started with some basic EDA now. Will share any insightful details.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 3210271,
      "author_name": "ravi20076",
      "author_url": "",
      "post_date": "05/27/2025 01:42:33",
      "content": "<p>One can try and deduce the features to some extent based on extensive EDA, but not all features may be deciphered fully. I would suggest you to look at feature-feature interactions and extensive plots to try and decipher the inherent meaning across them and a possible hint at what they could be <a href=\"https://www.kaggle.com/vinu0526\" target=\"_blank\">@vinu0526</a> </p>",
      "votes": null,
      "replies": [
        {
          "id": 3210686,
          "author_name": "vinu0526",
          "author_url": "",
          "post_date": "05/27/2025 15:21:23",
          "content": "<p>Thank you <a href=\"https://www.kaggle.com/ravi20076\" target=\"_blank\">@ravi20076</a>. I started with some basic EDA now. Will share any insightful details. </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "3210128": "Key Features:\n- Core order book metrics (bid/ask quantities)\n- Trade execution data (buy/sell quantities)\n- Volume information\n- 890 anonymized features (likely technical indicators, statistical transforms, or latent representations)??",
    "3210271": "One can try and deduce the features to some extent based on extensive EDA, but not all features may be deciphered fully. I would suggest you to look at feature-feature interactions and extensive plots to try and decipher the inherent meaning across them and a possible hint at what they could be @vinu0526",
    "3210686": "Thank you @ravi20076. I started with some basic EDA now. Will share any insightful details."
  },
  "source": "meta"
}