{
  "id": 327906,
  "title": "Similar Compeition: G-Research Crypto Forecasting Solution & Code Summary (🥇Gold Medal)",
  "url": "/competitions/amex-default-prediction/discussion/327906",
  "author_name": "Kritdikoon Woraitthinan",
  "post_date": "2022-05-29T21:11:17.857000",
  "votes": -9,
  "comment_count": 0,
  "views": 0,
  "content": "<p>Similar Competition: Time Series Prediction<br>\n<a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/overview\" target=\"_blank\">G-Research Crypto Forecasting</a></p>\n<p>G-Research Crypto Forecasting Solution &amp; Code Summary (🥇Gold Medal)</p>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Team</th>\n<th>Score</th>\n<th>Explain</th>\n<th>Code</th>\n<th>Paper</th>\n<th>Github</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td>Meme Lord Capital</td>\n<td>0.0326</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/286676\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/gogo827jz/jane-street-supervised-autoencoder-mlp/notebook\" target=\"_blank\">📕tensorflow</a> <br> <a href=\"https://www.kaggle.com/code/neodory/jane-street-1st-place-solution-crypto-pytorch\" target=\"_blank\">📕pytorch</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>2</td>\n<td>Nathaniel Maddux</td>\n<td>0.0283</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323098\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>3</td>\n<td>GABA</td>\n<td>0.0232</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323703\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/sugghi/training-3rd-place-solution\" target=\"_blank\">📕Train</a> <br> <a href=\"https://www.kaggle.com/code/sugghi/inference-3rd-place-solution\" target=\"_blank\">📕Infer</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>4</td>\n<td>cmanning</td>\n<td>0.0229</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>5</td>\n<td>Stamford009</td>\n<td>0.0225</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>6</td>\n<td>yuto</td>\n<td>0.0203</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>7</td>\n<td>Patrick Yam</td>\n<td>0.0202</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323250\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>8</td>\n<td>404NOTFOUND</td>\n<td>0.0201</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>9</td>\n<td>bturan19</td>\n<td>0.0194</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/324180\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>10</td>\n<td>mark4h</td>\n<td>0.0194</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>11</td>\n<td>Mark O'Connell</td>\n<td>0.0192</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>12</td>\n<td>Shady Mokh</td>\n<td>0.0190</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>13</td>\n<td>Tom Forbes</td>\n<td>0.0187</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/313386\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/tomforbes/1st-place-6-weeks-in-final-submission/notebook\" target=\"_blank\">📕</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n</tbody>\n</table>\n<blockquote>\n  <p>All credit goes to winners who share solution and notebook<br>\n  Please upvote those notebooks. 👍</p>\n</blockquote>",
  "messages": [
    {
      "id": 1805170,
      "postDate": "2022-05-29T21:11:17.857Z",
      "content": "<p>Similar Competition: Time Series Prediction<br>\n<a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/overview\" target=\"_blank\">G-Research Crypto Forecasting</a></p>\n<p>G-Research Crypto Forecasting Solution &amp; Code Summary (🥇Gold Medal)</p>\n<table>\n<thead>\n<tr>\n<th>Rank</th>\n<th>Team</th>\n<th>Score</th>\n<th>Explain</th>\n<th>Code</th>\n<th>Paper</th>\n<th>Github</th>\n</tr>\n</thead>\n<tbody>\n<tr>\n<td>1</td>\n<td>Meme Lord Capital</td>\n<td>0.0326</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/286676\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/gogo827jz/jane-street-supervised-autoencoder-mlp/notebook\" target=\"_blank\">📕tensorflow</a> <br> <a href=\"https://www.kaggle.com/code/neodory/jane-street-1st-place-solution-crypto-pytorch\" target=\"_blank\">📕pytorch</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>2</td>\n<td>Nathaniel Maddux</td>\n<td>0.0283</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323098\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>3</td>\n<td>GABA</td>\n<td>0.0232</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323703\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/sugghi/training-3rd-place-solution\" target=\"_blank\">📕Train</a> <br> <a href=\"https://www.kaggle.com/code/sugghi/inference-3rd-place-solution\" target=\"_blank\">📕Infer</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>4</td>\n<td>cmanning</td>\n<td>0.0229</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>5</td>\n<td>Stamford009</td>\n<td>0.0225</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>6</td>\n<td>yuto</td>\n<td>0.0203</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>7</td>\n<td>Patrick Yam</td>\n<td>0.0202</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323250\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>8</td>\n<td>404NOTFOUND</td>\n<td>0.0201</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>9</td>\n<td>bturan19</td>\n<td>0.0194</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/324180\" target=\"_blank\">📘</a></td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>10</td>\n<td>mark4h</td>\n<td>0.0194</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>11</td>\n<td>Mark O'Connell</td>\n<td>0.0192</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>12</td>\n<td>Shady Mokh</td>\n<td>0.0190</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n<td>-</td>\n</tr>\n<tr>\n<td>13</td>\n<td>Tom Forbes</td>\n<td>0.0187</td>\n<td><a href=\"https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/313386\" target=\"_blank\">📘</a></td>\n<td><a href=\"https://www.kaggle.com/code/tomforbes/1st-place-6-weeks-in-final-submission/notebook\" target=\"_blank\">📕</a></td>\n<td>-</td>\n<td>-</td>\n</tr>\n</tbody>\n</table>\n<blockquote>\n  <p>All credit goes to winners who share solution and notebook<br>\n  Please upvote those notebooks. 👍</p>\n</blockquote>",
      "rawMarkdown": "Similar Competition: Time Series Prediction\n[G-Research Crypto Forecasting](https://www.kaggle.com/competitions/g-research-crypto-forecasting/overview)\n\nG-Research Crypto Forecasting Solution & Code Summary (🥇Gold Medal)\n\n| Rank | Team | Score | Explain | Code |Paper |Github |\n| :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n| 1  | Meme Lord Capital | 0.0326 |[📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/286676) | [📕tensorflow](https://www.kaggle.com/code/gogo827jz/jane-street-supervised-autoencoder-mlp/notebook) <br> [📕pytorch](https://www.kaggle.com/code/neodory/jane-street-1st-place-solution-crypto-pytorch) | - | - |\n| 2  | Nathaniel Maddux | 0.0283 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323098) | - | - | - |\n| 3  | GABA | 0.0232 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323703) | [📕Train](https://www.kaggle.com/code/sugghi/training-3rd-place-solution) <br> [📕Infer](https://www.kaggle.com/code/sugghi/inference-3rd-place-solution) | - | - |\n| 4  | cmanning | 0.0229 | - | - | - | - |\n| 5  | Stamford009 | 0.0225 | - | - | - | - |\n| 6  | yuto | 0.0203 | - | - | - | - |\n| 7  | Patrick Yam | 0.0202 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323250) | - | - | - |\n| 8  | 404NOTFOUND | 0.0201 | - | - | - | - |\n| 9  | bturan19 | 0.0194 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/324180) | - | - | - |\n| 10  | mark4h | 0.0194 | - | - | - | - |\n| 11  | Mark O'Connell | 0.0192 | - | - | - | - |\n| 12  | Shady Mokh | 0.0190 | - | - | - | - |\n| 13 | Tom Forbes | 0.0187 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/313386) | [📕](https://www.kaggle.com/code/tomforbes/1st-place-6-weeks-in-final-submission/notebook) | - | - |\n\n> All credit goes to winners who share solution and notebook\nPlease upvote those notebooks. 👍\n",
      "votes": -9
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1805170": "Similar Competition: Time Series Prediction\n[G-Research Crypto Forecasting](https://www.kaggle.com/competitions/g-research-crypto-forecasting/overview)\n\nG-Research Crypto Forecasting Solution & Code Summary (🥇Gold Medal)\n\n| Rank | Team | Score | Explain | Code |Paper |Github |\n| :---: | :---: | :---: | :---: | :---: | :---: | :---: |\n| 1  | Meme Lord Capital | 0.0326 |[📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/286676) | [📕tensorflow](https://www.kaggle.com/code/gogo827jz/jane-street-supervised-autoencoder-mlp/notebook) <br> [📕pytorch](https://www.kaggle.com/code/neodory/jane-street-1st-place-solution-crypto-pytorch) | - | - |\n| 2  | Nathaniel Maddux | 0.0283 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323098) | - | - | - |\n| 3  | GABA | 0.0232 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323703) | [📕Train](https://www.kaggle.com/code/sugghi/training-3rd-place-solution) <br> [📕Infer](https://www.kaggle.com/code/sugghi/inference-3rd-place-solution) | - | - |\n| 4  | cmanning | 0.0229 | - | - | - | - |\n| 5  | Stamford009 | 0.0225 | - | - | - | - |\n| 6  | yuto | 0.0203 | - | - | - | - |\n| 7  | Patrick Yam | 0.0202 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/323250) | - | - | - |\n| 8  | 404NOTFOUND | 0.0201 | - | - | - | - |\n| 9  | bturan19 | 0.0194 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/324180) | - | - | - |\n| 10  | mark4h | 0.0194 | - | - | - | - |\n| 11  | Mark O'Connell | 0.0192 | - | - | - | - |\n| 12  | Shady Mokh | 0.0190 | - | - | - | - |\n| 13 | Tom Forbes | 0.0187 | [📘](https://www.kaggle.com/competitions/g-research-crypto-forecasting/discussion/313386) | [📕](https://www.kaggle.com/code/tomforbes/1st-place-6-weeks-in-final-submission/notebook) | - | - |\n\n> All credit goes to winners who share solution and notebook\nPlease upvote those notebooks. 👍\n"
  }
}