{"id":39991,"date":"2026-03-27T18:30:52","date_gmt":"2026-03-27T17:30:52","guid":{"rendered":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-polymarket-prediction-market-5-5-billion-tick-level-orderbook-records-21-days-l2-depth-snapshots-trade-executions-resolution-labels-cc-by-nc-4-0\/"},"modified":"2026-03-27T18:30:52","modified_gmt":"2026-03-27T17:30:52","slug":"dataset-polymarket-prediction-market-5-5-billion-tick-level-orderbook-records-21-days-l2-depth-snapshots-trade-executions-resolution-labels-cc-by-nc-4-0","status":"publish","type":"post","link":"https:\/\/www.graviton.at\/letterswaplibrary\/dataset-polymarket-prediction-market-5-5-billion-tick-level-orderbook-records-21-days-l2-depth-snapshots-trade-executions-resolution-labels-cc-by-nc-4-0\/","title":{"rendered":"[DATASET] Polymarket Prediction Market: 5.5 Billion Tick-level Orderbook Records, 21 Days, L2 Depth Snapshots, Trade Executions, Resolution Labels (CC-BY-NC-4.0)"},"content":{"rendered":"<p><!-- SC_OFF --><\/p>\n<div class=\"md\">\n<p>Published a large-scale tick-level dataset from Polymarket, the largest prediction market. Useful for microstructure research, market efficiency studies, and ML on event-driven markets.<\/p>\n<p><strong>Scale:<\/strong><\/p>\n<table>\n<thead>\n<tr>\n<th align=\"left\">Metric<\/th>\n<th align=\"left\">Count<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td align=\"left\">Orderbook ticks<\/td>\n<td align=\"left\">5,555,777,555<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">L2 depth snapshots<\/td>\n<td align=\"left\">51,674,425<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">Trade executions<\/td>\n<td align=\"left\">4,126,076<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">Markets tracked<\/td>\n<td align=\"left\">123,895<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">Resolved markets<\/td>\n<td align=\"left\">23,146<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">ML feature bars<\/td>\n<td align=\"left\">5,587,547<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">Coverage<\/td>\n<td align=\"left\">21 continuous days<\/td>\n<\/tr>\n<tr>\n<td align=\"left\">Null values<\/td>\n<td align=\"left\">0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><strong>Format:<\/strong> Daily Parquet files (ZSTD compressed), around 40 GB total. Includes pre-built 1-minute bar features with L2 depth imbalance ready for ML training on Kaggle&#8217;s free tier.<\/p>\n<p><strong>License:<\/strong> CC-BY-NC-4.0 (non-commercial\/academic)<\/p>\n<p><strong>Link:<\/strong> <a href=\"https:\/\/www.kaggle.com\/datasets\/marvingozo\/polymarket-tick-level-orderbook-dataset\">https:\/\/www.kaggle.com\/datasets\/marvingozo\/polymarket-tick-level-orderbook-dataset<\/a><\/p>\n<p><strong>Use cases:<\/strong> HFT signal detection, market maker strategy research, prediction efficiency studies, order flow toxicity (VPIN), cross-market correlation, event study analysis.<\/p>\n<\/div>\n<p><!-- SC_ON -->   submitted by   <a href=\"https:\/\/www.reddit.com\/user\/Upset-Fly-454\"> \/u\/Upset-Fly-454 <\/a> <br \/> <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1s5a2s8\/dataset_polymarket_prediction_market_55_billion\/\">[link]<\/a><\/span>   <span><a href=\"https:\/\/www.reddit.com\/r\/datasets\/comments\/1s5a2s8\/dataset_polymarket_prediction_market_55_billion\/\">[comments]<\/a><\/span><\/p><div class='watch-action'><div class='watch-position align-right'><div class='action-like'><a class='lbg-style1 like-39991 jlk' href='javascript:void(0)' data-task='like' data-post_id='39991' data-nonce='65e0e39b87' rel='nofollow'><img class='wti-pixel' src='https:\/\/www.graviton.at\/letterswaplibrary\/wp-content\/plugins\/wti-like-post\/images\/pixel.gif' title='Like' \/><span class='lc-39991 lc'>0<\/span><\/a><\/div><\/div> <div class='status-39991 status align-right'><\/div><\/div><div class='wti-clear'><\/div>","protected":false},"excerpt":{"rendered":"<p>Published a large-scale tick-level dataset from Polymarket, the largest prediction market. Useful for microstructure research, market efficiency&#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[85],"tags":[],"class_list":["post-39991","post","type-post","status-publish","format-standard","hentry","category-datatards","wpcat-85-id"],"_links":{"self":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39991","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/comments?post=39991"}],"version-history":[{"count":0,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/posts\/39991\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/media?parent=39991"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/categories?post=39991"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graviton.at\/letterswaplibrary\/wp-json\/wp\/v2\/tags?post=39991"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}