{
  "total": 471,
  "topics": [
    {
      "id": 300020,
      "title": "Thank you all! ",
      "comment_count": 4,
      "views": 0,
      "votes": 30
    },
    {
      "id": 249474,
      "title": "Competition Q&A",
      "comment_count": 165,
      "views": 0,
      "votes": 73
    },
    {
      "id": 249752,
      "title": "Competition data FAQ",
      "comment_count": 186,
      "views": 0,
      "votes": 201
    },
    {
      "id": 249476,
      "title": "Data Science career at Optiver",
      "comment_count": 26,
      "views": 0,
      "votes": 75
    },
    {
      "id": 722422,
      "title": "Replicating 1st Place Dynamics: KNN Cross-Sectional Features & Adaptive Ensemble",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 274970,
      "title": "1st Place Solution - Nearest Neighbors",
      "comment_count": 149,
      "views": 0,
      "votes": 501
    },
    {
      "id": 438456,
      "title": "Optiver2021_realised_vol competition - lessons still not learned",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249527,
      "title": "Papers on Quantitative Trading Models",
      "comment_count": 12,
      "views": 0,
      "votes": 92
    },
    {
      "id": 413111,
      "title": "Out of Memory Issue",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269972,
      "title": "About GPU Accelerator ",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 300785,
      "title": "[Dataset] All of the Optiver Leaderboard files (+ shakeup plot)",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 267068,
      "title": "The Optiver team should make a submission or two",
      "comment_count": 9,
      "views": 0,
      "votes": 25
    },
    {
      "id": 282791,
      "title": "Second leaderboard update is complete [out of date]",
      "comment_count": 151,
      "views": 0,
      "votes": -173
    },
    {
      "id": 275185,
      "title": "GNN short GOLD solution LB=0.18345 PB=0.20139",
      "comment_count": 40,
      "views": 0,
      "votes": 85
    },
    {
      "id": 279170,
      "title": "My journey: 1st public -> 154 private",
      "comment_count": 51,
      "views": 0,
      "votes": 175
    },
    {
      "id": 271845,
      "title": "What \"overfitting the public lb\" means",
      "comment_count": 34,
      "views": 0,
      "votes": 99
    },
    {
      "id": 353475,
      "title": "I submit but I don't appear on the Leaderboard ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269283,
      "title": "Some Feature Selection Technique",
      "comment_count": 43,
      "views": 0,
      "votes": 81
    },
    {
      "id": 266354,
      "title": "Neural Network Observations & General Wondering ...",
      "comment_count": 19,
      "views": 0,
      "votes": 61
    },
    {
      "id": 275169,
      "title": "Public 12 Place Short Solution",
      "comment_count": 25,
      "views": 0,
      "votes": 43
    },
    {
      "id": 295692,
      "title": "GNN with temporal and cross-sectional relations",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 278676,
      "title": "Tentative 3rd Place Solution (6th in Public) - life is volatile",
      "comment_count": 5,
      "views": 0,
      "votes": 45
    },
    {
      "id": 268813,
      "title": "knn++ algorithm",
      "comment_count": 6,
      "views": 0,
      "votes": 17
    },
    {
      "id": 302626,
      "title": "Ablation study on the 1st place solution: effect of ensemble, tick-size leak and normalization",
      "comment_count": 5,
      "views": 0,
      "votes": 56
    },
    {
      "id": 301294,
      "title": "Private set has filler data? (and 2 stocks are gone)",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 300746,
      "title": "My drop from 37th public -> 2786th private explained",
      "comment_count": 5,
      "views": 0,
      "votes": 19
    },
    {
      "id": 300043,
      "title": "Contributor to Master in a week :)",
      "comment_count": 11,
      "views": 0,
      "votes": 26
    },
    {
      "id": 300414,
      "title": "Late submission?",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 300079,
      "title": "Congrats to @nyanpn for becoming GM with this solo win",
      "comment_count": 11,
      "views": 0,
      "votes": 22
    },
    {
      "id": 300048,
      "title": "It hurts...",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 300348,
      "title": "Public 1398th → Private 24th Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 300027,
      "title": "Congratulations to Hantian Zheng! ",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 300023,
      "title": "Final Update Posted",
      "comment_count": 1,
      "views": 0,
      "votes": 16
    },
    {
      "id": 300286,
      "title": "Winning Solutions",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 300031,
      "title": "Congratulations Eduardo Peynetti - Competitions Master! ",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 300025,
      "title": "Shake-up! ",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 300164,
      "title": "Old Public Leaderboard",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 299810,
      "title": "Meme Thread",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 299788,
      "title": "realized volatility decomposition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 300299,
      "title": "What happened to my score",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 300075,
      "title": "is this the final result?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 296715,
      "title": "Medal chasing plot",
      "comment_count": 11,
      "views": 0,
      "votes": 13
    },
    {
      "id": 249660,
      "title": "CBOE volatility index (VIX) dataset",
      "comment_count": 5,
      "views": 0,
      "votes": 11
    },
    {
      "id": 296670,
      "title": "Sixth update posted",
      "comment_count": 2,
      "views": 0,
      "votes": 21
    },
    {
      "id": 294478,
      "title": "Interactive LB dashboard",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 294962,
      "title": "FYI - Schedule of remaining updates",
      "comment_count": 0,
      "views": 0,
      "votes": 37
    },
    {
      "id": 287216,
      "title": "wow, up to now it feels like being on a roller coaster!",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 294344,
      "title": "Fifth score update posted",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 291020,
      "title": "Advanced Features (Top 100 Private Leader Board / no tick size ) ",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 294146,
      "title": "Fifth score update delayed by 1-2 days",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 275473,
      "title": "Public 37th solution",
      "comment_count": 8,
      "views": 0,
      "votes": 32
    },
    {
      "id": 274852,
      "title": "Models off the beaten path",
      "comment_count": 16,
      "views": 0,
      "votes": 33
    },
    {
      "id": 291550,
      "title": "Fourth score update posted",
      "comment_count": 2,
      "views": 0,
      "votes": 27
    },
    {
      "id": 269735,
      "title": "tau features?",
      "comment_count": 11,
      "views": 0,
      "votes": 24
    },
    {
      "id": 291642,
      "title": "Access to the dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 260694,
      "title": "Another Type of Validation (Nested CV)",
      "comment_count": 7,
      "views": 0,
      "votes": 20
    },
    {
      "id": 290289,
      "title": "Fourth score update delayed until next week",
      "comment_count": 1,
      "views": 0,
      "votes": 36
    },
    {
      "id": 291435,
      "title": "Not accepting solutions",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 249471,
      "title": "Looking for a Team Megathread",
      "comment_count": 222,
      "views": 0,
      "votes": 35
    },
    {
      "id": 263308,
      "title": "After a month here are a few observations ...",
      "comment_count": 56,
      "views": 0,
      "votes": 236
    },
    {
      "id": 287425,
      "title": "Tried to use time_id clustering features in different competitions",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 284121,
      "title": "Second leaderboard update will be rerun without added noise",
      "comment_count": 33,
      "views": 0,
      "votes": 127
    },
    {
      "id": 286828,
      "title": "Third Update Posted",
      "comment_count": 4,
      "views": 0,
      "votes": 26
    },
    {
      "id": 286220,
      "title": "Public notebooks floating around in medal zones? ",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 286764,
      "title": "Will there be a rerun this week?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 284665,
      "title": "Revised second rerun is posted",
      "comment_count": 9,
      "views": 0,
      "votes": 40
    },
    {
      "id": 283843,
      "title": "Shakeup #2 plot: Surprisingly volatile...",
      "comment_count": 13,
      "views": 0,
      "votes": 34
    },
    {
      "id": 283814,
      "title": "Blending with Naive Forecasting Does Not Reduce the Prediction Accuracy",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 284027,
      "title": "The first two shakeup plots: Jane Street Vs. Optiver",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 283879,
      "title": "Adversarial attack on dataset is unnecessary",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 283856,
      "title": "soo.. how bad did you get hit? 😅",
      "comment_count": 3,
      "views": 0,
      "votes": 14
    },
    {
      "id": 282790,
      "title": "Week 4 shakeup",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 282726,
      "title": "Score update in interim state [completed]",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 284006,
      "title": "How Optiver uses the forecasted realized volatility ?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 282404,
      "title": "Is there an issue with the udpate and leaderboard?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 278689,
      "title": "51st place solution after 1st rerun",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 276137,
      "title": "15th Place, Interesting Features - No Phishing",
      "comment_count": 21,
      "views": 0,
      "votes": 61
    },
    {
      "id": 275134,
      "title": "Dear organizer & \\compliance",
      "comment_count": 21,
      "views": 0,
      "votes": 37
    },
    {
      "id": 280422,
      "title": "Reminder: Sign up for our panel session next Tuesday!",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 278973,
      "title": "Where is the ranking of main stream forked notebooks? (original public PB ~0.19728-29",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 278685,
      "title": "[Solved] Incorrect notebooks were used to calculate score",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 280363,
      "title": "Where should a layman start to learn?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 278598,
      "title": "Notes on the leaderboard update",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 278361,
      "title": "First rerun update posted",
      "comment_count": 31,
      "views": 0,
      "votes": 16
    },
    {
      "id": 278447,
      "title": "Shakeup plots",
      "comment_count": 8,
      "views": 0,
      "votes": 19
    },
    {
      "id": 278743,
      "title": "Optiver Leaderboard Progression (Updated 2021-10-27)",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 278455,
      "title": "Everything is possible",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 278694,
      "title": "Shake in First Rerun?(39th solution in Private)",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 278576,
      "title": "Largest shakes",
      "comment_count": 2,
      "views": 0,
      "votes": 10
    },
    {
      "id": 278389,
      "title": "The Trick I Used",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 278370,
      "title": "What's  wrong with it，all errror???",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 278359,
      "title": "Not on LB after first run",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 278583,
      "title": "All Submissions in status \"Invalidated for Stage 2 Reruns\"",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 276384,
      "title": "Just Curious about when the first re-run will be?",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 276506,
      "title": "7th place main ideas",
      "comment_count": 15,
      "views": 0,
      "votes": 28
    },
    {
      "id": 277765,
      "title": "Request to the organizers",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 278086,
      "title": "Download the data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 276804,
      "title": "Solutions without leak",
      "comment_count": 10,
      "views": 0,
      "votes": 9
    },
    {
      "id": 275466,
      "title": "Ideas Tried But Did Not Work",
      "comment_count": 16,
      "views": 0,
      "votes": 33
    },
    {
      "id": 275825,
      "title": "A compilation of solutions & other conversations",
      "comment_count": 2,
      "views": 0,
      "votes": 35
    },
    {
      "id": 275806,
      "title": "Public 32nd place solution: LB 0.1953",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 276350,
      "title": "When will the initial results be published?",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 274873,
      "title": "What was the secret? 🕵️‍♂️",
      "comment_count": 25,
      "views": 0,
      "votes": 39
    },
    {
      "id": 275973,
      "title": "Public 39th solution – 10-folds lgbm",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 275268,
      "title": "LGB score, how did you do?",
      "comment_count": 13,
      "views": 0,
      "votes": 11
    },
    {
      "id": 276530,
      "title": "LB score 0.21655: NN (LSTM), stock_id embedding, KMeans clustering, Bayes Optimized Hyperparameters",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 275543,
      "title": "Public 20th Simple Post Processing",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 274879,
      "title": "Is this the end of pandas?",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 274936,
      "title": "No Feature Engineering NN Only Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 24
    },
    {
      "id": 274087,
      "title": "Rules clarification",
      "comment_count": 20,
      "views": 0,
      "votes": 16
    },
    {
      "id": 274884,
      "title": "Things I tried",
      "comment_count": 7,
      "views": 0,
      "votes": 19
    },
    {
      "id": 274222,
      "title": "Error handling reminder",
      "comment_count": 25,
      "views": 0,
      "votes": 23
    },
    {
      "id": 274937,
      "title": "Three tricks which did work",
      "comment_count": 8,
      "views": 0,
      "votes": 26
    },
    {
      "id": 275252,
      "title": "About aggregation solutions",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274874,
      "title": "When do we expect the first LB update? ",
      "comment_count": 5,
      "views": 0,
      "votes": 22
    },
    {
      "id": 274431,
      "title": "What do you think about the final Private Leaderboard Score ??",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 275205,
      "title": "Why can't I find my ranking after submission deadline? No violation of the rules.",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274931,
      "title": "Suggestion to organizers for final Leaderboard evaluation",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 273915,
      "title": "Some more useful features",
      "comment_count": 7,
      "views": 0,
      "votes": 69
    },
    {
      "id": 273349,
      "title": "Top 3 mysteries after 2 months of struggles",
      "comment_count": 12,
      "views": 0,
      "votes": 59
    },
    {
      "id": 273923,
      "title": "Online Data Science Events: Realized Volatility and Competition Data Explained",
      "comment_count": 2,
      "views": 0,
      "votes": 30
    },
    {
      "id": 274169,
      "title": "Does making time id as categorical helps ?",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275291,
      "title": "did anyone develop a useful binary classifier for their ensemble?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 275114,
      "title": "Is the public LB still changing?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274353,
      "title": "The number of forks on notebooks",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275235,
      "title": "Name removed from leaderboard",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 273343,
      "title": "RAPIDS Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 42
    },
    {
      "id": 275197,
      "title": "Why don't I have a 'submit prediction' button?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274877,
      "title": "Some thoughts about using test set info as features",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274173,
      "title": "GroupKFold CV / LB",
      "comment_count": 19,
      "views": 0,
      "votes": 11
    },
    {
      "id": 275196,
      "title": "why I can not find my name on the learderboard after the competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274792,
      "title": "GPU version of GBTs, NN baseline, autoencoder and Ensembling",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274681,
      "title": "TabNet load_model with model_params.json and network.pt",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 274943,
      "title": "Private leaderboard ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274880,
      "title": "High frequency trading using the competition data",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274863,
      "title": "Can we select an already submitted notebook after the deadline?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273967,
      "title": "lgbm: reason for weights in validation set for early stopping",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 274910,
      "title": "Why were my submission scores significantly worse than my CV?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274339,
      "title": "Deanonimising time from event",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274911,
      "title": "Anyone had success with CNN1d-FFNN model？",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274868,
      "title": "Error adding data to notebook for submission",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273887,
      "title": "The puzzle's pieces are coming together",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 273116,
      "title": "MLP Mixer Baseline - 0 Feature Engineering MLP Model",
      "comment_count": 12,
      "views": 0,
      "votes": 40
    },
    {
      "id": 273675,
      "title": "I couldn't believe my eyes ...",
      "comment_count": 10,
      "views": 0,
      "votes": 25
    },
    {
      "id": 273871,
      "title": "What is the 'leakage' ? ",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273783,
      "title": "Clarifying rules around training models locally",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 251911,
      "title": "Notebook expert",
      "comment_count": 12,
      "views": 0,
      "votes": 18
    },
    {
      "id": 274535,
      "title": "If you can't submit your notebook and it says notebook not found change name",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 274375,
      "title": "Just a small doubt!!! ",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 274374,
      "title": "How accelerate parquet data preporocesing?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 272867,
      "title": "Why feed-forward networks win against LightGBM",
      "comment_count": 7,
      "views": 0,
      "votes": 34
    },
    {
      "id": 273523,
      "title": "No X_train and no X_valid.. is it ok to use all data before submitting?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273631,
      "title": "Editor Loading... takes forever.  Help needed.",
      "comment_count": 10,
      "views": 0,
      "votes": 8
    },
    {
      "id": 273800,
      "title": "Find which feature are important by boruta-shap",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 274417,
      "title": "CV LB Battle",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 273920,
      "title": "Will the train dataset change in Test stage ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272970,
      "title": "Comparison with the CV-LB gap of three methods, tabnet, lgb, tf-ffnn.",
      "comment_count": 6,
      "views": 0,
      "votes": 9
    },
    {
      "id": 273503,
      "title": "Cannot submit",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274113,
      "title": "New Kaggle Notebook Viewer, how to \"select diff\" ?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 273649,
      "title": "Firebase: No Firebase App '[DEFAULT]' has been created - call Firebase App.initializeApp() (app/no-app).",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273428,
      "title": "Trust cross validation or LB score?",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271887,
      "title": "About the selection of final submission",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 273973,
      "title": "Internet access submit error in this competition",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272136,
      "title": "change keras to tensorflow.keras, got different cv and lb",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274121,
      "title": "Code to resolve lgbm baseline NN input shape error",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 271920,
      "title": "Top 5 Worst Predicted Time Buckets",
      "comment_count": 15,
      "views": 0,
      "votes": 28
    },
    {
      "id": 274027,
      "title": "are inference notebooks allowed in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 273985,
      "title": "TabNet memory error?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 265291,
      "title": "A systematic error in evaluating the results regarding financial challenges ",
      "comment_count": 17,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273212,
      "title": "Group by stockid: Future information?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272979,
      "title": "Do the group aggregations by stock_id result in leakage?",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272827,
      "title": "The reason why LB is better than CV score?",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272281,
      "title": "NN for Tabular Dataset",
      "comment_count": 11,
      "views": 0,
      "votes": 18
    },
    {
      "id": 273756,
      "title": "editor loading",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 272674,
      "title": "What's your best score when applying your best model to the whole train dataset?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273293,
      "title": "Seconds in Bucket",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273162,
      "title": "Did anyone face this issue?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272795,
      "title": "Why are the public NN's clipping their predictions?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271844,
      "title": "Features Clustering",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 271671,
      "title": "Is loading of preprocessed train dataset considered as External Data?",
      "comment_count": 19,
      "views": 0,
      "votes": 16
    },
    {
      "id": 272886,
      "title": "scoring error even the notebook finishes running",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 272656,
      "title": "Notebook threw an exception, could it be memory?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 271367,
      "title": "Averting \"No module named 'keras' \" errors",
      "comment_count": 11,
      "views": 0,
      "votes": 24
    },
    {
      "id": 272560,
      "title": "submission version？",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272114,
      "title": "Why Submission Scoring Error?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271628,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 272743,
      "title": "from pyarrow import hadoopfilesystem",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 270308,
      "title": "What is the performance of your CNN or RNN : )",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 272155,
      "title": "What is the merger deadline?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272381,
      "title": "How to solve \"Submission Scoring Error\" ?",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 272082,
      "title": "when I tried to read a pickle file, I got such error. Any help?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270947,
      "title": "When Was the Training Data Set Collected",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 272021,
      "title": "Questions about Unstable Training Result",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269282,
      "title": "How to deal with stock-31",
      "comment_count": 17,
      "views": 0,
      "votes": 12
    },
    {
      "id": 269983,
      "title": "Which cross-validation methods do you use ? ",
      "comment_count": 18,
      "views": 0,
      "votes": 11
    },
    {
      "id": 270774,
      "title": "Why stock_id 31 rmspe so high?",
      "comment_count": 6,
      "views": 0,
      "votes": 8
    },
    {
      "id": 271336,
      "title": "Regarding the cross validation of time_id ",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272041,
      "title": "If you intend to prepare for a job interview in the field of data science: (164 Q) look at 👇",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 272212,
      "title": "Hot features looking for a team to partner ",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 256080,
      "title": "All useful features at one place - Optiver Realized Volatility Prediction",
      "comment_count": 10,
      "views": 0,
      "votes": 134
    },
    {
      "id": 271627,
      "title": "How can i save the preprocessed data in Kaggle?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 271217,
      "title": "What is the number of input features in NN?",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271399,
      "title": "I found some strange result that when saved notebook",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 271972,
      "title": "If you intend to prepare for a job interview in the field of data science look down👇(164 Q)",
      "comment_count": 0,
      "views": 0,
      "votes": -11
    },
    {
      "id": 270106,
      "title": "Are the Stock_Id in the training and test sets REALLY identical?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271298,
      "title": "why so many notebook use FFNN?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270987,
      "title": "Trade sign / VPIN style features",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270945,
      "title": "NN model stability and forecast result",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271089,
      "title": "Need help with submission error",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270335,
      "title": "notebooks runs okay in browser test for 3 points, but throws exception when submitted",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270889,
      "title": "Notebook Threw Exception",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271262,
      "title": "Notebook Threw Exception on submission for the 5th time!",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270276,
      "title": "How about using a candlestick charts and OHLC charts?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 270511,
      "title": "How to calculate the means and stds constants?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 267096,
      "title": "additional Realized Volatility Estimators and Quarticity",
      "comment_count": 19,
      "views": 0,
      "votes": 69
    },
    {
      "id": 268584,
      "title": "🎉🎉 Congrats new Competitions Master !!!",
      "comment_count": 30,
      "views": 0,
      "votes": 28
    },
    {
      "id": 270530,
      "title": "exploratory data analysis",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270992,
      "title": "Question about price in trade_[train/test].parquet",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269746,
      "title": "How good do you think the private score will be?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270791,
      "title": "What clustering method do you use?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269421,
      "title": "Make NN covergence more quick idea",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 269656,
      "title": "Clustering algorithms",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 268969,
      "title": "LB score boom",
      "comment_count": 12,
      "views": 0,
      "votes": 11
    },
    {
      "id": 268877,
      "title": "sumission scoring error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256231,
      "title": "Difference between CV and public LB",
      "comment_count": 29,
      "views": 0,
      "votes": 42
    },
    {
      "id": 270460,
      "title": "seconds_in_bucket feature?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 270200,
      "title": "size of test data ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269573,
      "title": "Quadratic Covariation Estimation Using Financial Ultra-High-Frequency Data",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270430,
      "title": "Articles on Investopedia",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 269988,
      "title": "What does the Entries on the Public Leaderboard mean?",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 268184,
      "title": "Neural Network without any feature engineering",
      "comment_count": 20,
      "views": 0,
      "votes": 29
    },
    {
      "id": 270035,
      "title": "Loading preprocessed test and training data results in error?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269645,
      "title": "i add 2 model's result, then......",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269300,
      "title": "what is target in the train.csv?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267507,
      "title": "How many Stock Embedding - FFNN - My features notebooks are we gonna see?",
      "comment_count": 9,
      "views": 0,
      "votes": 42
    },
    {
      "id": 249523,
      "title": "Previous competitions winning solutions 🏆",
      "comment_count": 11,
      "views": 0,
      "votes": 150
    },
    {
      "id": 269597,
      "title": "submission scoring failed",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 268903,
      "title": "Potential leakage?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 268257,
      "title": "is public test data changed?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 267761,
      "title": "My three ways of volatility prediction.",
      "comment_count": 12,
      "views": 0,
      "votes": 17
    },
    {
      "id": 267162,
      "title": "CV/PB Consistent?",
      "comment_count": 13,
      "views": 0,
      "votes": 6
    },
    {
      "id": 268700,
      "title": "That weird janestreet volatility notebook",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 263813,
      "title": "Why is my silly submission not working?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 268466,
      "title": "Stock Clusters",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 268099,
      "title": "N-Beats not submitting to competition",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 269503,
      "title": "I want to find a team",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 269319,
      "title": "Notebook Threw Exception",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267260,
      "title": "Nonlinearity of the surface of targets and LB score",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 269165,
      "title": "TPU-OOM for Pytorch XLA and TPU Utilization is also very low.",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 266839,
      "title": "Test data only has time_id 5",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 265425,
      "title": "1D CNN Baseline",
      "comment_count": 11,
      "views": 0,
      "votes": 15
    },
    {
      "id": 268095,
      "title": "Small CV changes underline, big public score decreases.....",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 268168,
      "title": "A request for little mathetical explanation of D. Marquez KMeans Features",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 268836,
      "title": "would like to join",
      "comment_count": 1,
      "views": 0,
      "votes": -2
    },
    {
      "id": 269136,
      "title": "Correlation between stocks",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267373,
      "title": "Use of Google Cloud services possible?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 268685,
      "title": "CV  Times Problems",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267776,
      "title": "bonferroni prize?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269119,
      "title": "Covid User Engagement Comp ",
      "comment_count": 1,
      "views": 0,
      "votes": -6
    },
    {
      "id": 266049,
      "title": "Yet another feature idea",
      "comment_count": 13,
      "views": 0,
      "votes": 24
    },
    {
      "id": 267869,
      "title": "Did anyone take the logarithm for target in this competition",
      "comment_count": 12,
      "views": 0,
      "votes": 5
    },
    {
      "id": 268139,
      "title": "Tabnet Saved Model Zipped Files not showing in Kernel",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 268009,
      "title": "Using Lgbm to do feature selection ",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 265193,
      "title": "Time Series Techniques for This Competition",
      "comment_count": 12,
      "views": 0,
      "votes": 16
    },
    {
      "id": 267106,
      "title": "[Compilation] Good Baseline Solutions",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 268213,
      "title": "Hi！everyone! How did you guys tackle the  problem that  test data are not all visible?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 250695,
      "title": "Single Model CV-LB Score (Non-Model Score)",
      "comment_count": 30,
      "views": 0,
      "votes": 42
    },
    {
      "id": 264825,
      "title": "Why GroupKFold hurts LB?",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 267736,
      "title": "Pytorch XLA -TPU Set up error",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267573,
      "title": "RMSPE implementation for use with tidymodels",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 255833,
      "title": "Feature Engineering and Selection (Free book)",
      "comment_count": 15,
      "views": 0,
      "votes": 53
    },
    {
      "id": 268088,
      "title": "Will All Stocks for the same time_id be presented together?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267067,
      "title": "Visualizing the cv-lb gap",
      "comment_count": 1,
      "views": 0,
      "votes": 12
    },
    {
      "id": 267871,
      "title": "ask for help",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 250612,
      "title": "What is the \"ground truth\" realized volatility?",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 266191,
      "title": "Optimize your workflow",
      "comment_count": 4,
      "views": 0,
      "votes": 40
    },
    {
      "id": 267014,
      "title": "Full pipeline with neptune.ai integration ",
      "comment_count": 1,
      "views": 0,
      "votes": 9
    },
    {
      "id": 265113,
      "title": "My Final Thoughts",
      "comment_count": 29,
      "views": 0,
      "votes": 39
    },
    {
      "id": 267327,
      "title": "Normalized prices",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 265869,
      "title": "CV/Public LB has correlation?",
      "comment_count": 12,
      "views": 0,
      "votes": 9
    },
    {
      "id": 266968,
      "title": "Dropna or Fill it",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 250498,
      "title": "\"Notebook Threw Exception\" error only on submission",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 265143,
      "title": "Stock aggregation - 5 strategies",
      "comment_count": 34,
      "views": 0,
      "votes": 37
    },
    {
      "id": 266837,
      "title": "Are we to estimate the annualized realized volatility?",
      "comment_count": 3,
      "views": 0,
      "votes": -1
    },
    {
      "id": 267593,
      "title": "notebook editor constant lockups?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 264623,
      "title": "LSTM andLSTM-CNN-CBAM models are not sensitive to stock price fluctuations",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 266755,
      "title": "About the time_id",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 262203,
      "title": "What are the best practices during the competitions?",
      "comment_count": 12,
      "views": 0,
      "votes": 33
    },
    {
      "id": 267258,
      "title": "Stock Value Momentum: is it real?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 263321,
      "title": "TabNet BaseLine[LB0.21445]. Ensemble with LGBM [LB0.2092]",
      "comment_count": 37,
      "views": 0,
      "votes": 45
    },
    {
      "id": 264787,
      "title": "TabNet - Top scored public notebook 🕵️- [Optiver Volatility]",
      "comment_count": 17,
      "views": 0,
      "votes": 45
    },
    {
      "id": 267369,
      "title": "Error while Running",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 267283,
      "title": "Your notebook tried to allocate more memory than is available. It has restarted.",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 266400,
      "title": "The private leaderboard's test data is the same stock_id or not ?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266777,
      "title": "Will stock_id data change?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264644,
      "title": "Some thoughts about possible shake-up...",
      "comment_count": 17,
      "views": 0,
      "votes": 18
    },
    {
      "id": 265438,
      "title": "Feed Foward NN + LGBM - SCORE 0.20727",
      "comment_count": 3,
      "views": 0,
      "votes": 22
    },
    {
      "id": 265534,
      "title": "what new can be done here? other than LGBM , CNN , RNN ?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 265268,
      "title": "Smoothing methods for time series",
      "comment_count": 3,
      "views": 0,
      "votes": 24
    },
    {
      "id": 264299,
      "title": "Congrats to chumajin on becoming a notebooks grandmaster!",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 265597,
      "title": "Time series analysis - a free online book",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 265147,
      "title": "Keras custom loss",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 265664,
      "title": "Picking windows features for the gradient boosting algorithms",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264633,
      "title": "What happened to the number on the leaderboard?",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 266101,
      "title": "Prediction in the blind",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 250998,
      "title": "Forecasting volatility with the ARCH and GARCH models",
      "comment_count": 11,
      "views": 0,
      "votes": 55
    },
    {
      "id": 256226,
      "title": "CV Splitting by time_id",
      "comment_count": 13,
      "views": 0,
      "votes": 26
    },
    {
      "id": 249782,
      "title": "Some Initial Thoughts...",
      "comment_count": 19,
      "views": 0,
      "votes": 120
    },
    {
      "id": 256334,
      "title": "On Google Colabolatory with kaggle API",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 265629,
      "title": "Learnings From Experiments !",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 265103,
      "title": "Understanding the Trades from Tradebook and Orderbook",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 263300,
      "title": "Filter method based feature selection is not good for this competition",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 256414,
      "title": "Understanding the Evaluation metric [RMSPE]",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 264538,
      "title": "what kind of wap is effective in this competition ",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264540,
      "title": "ELI5 starter",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 261995,
      "title": "Are Russian residents eligible to receive money prizes?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264265,
      "title": "Notebook Threw Exception",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264738,
      "title": "What is your best score with NN?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 264701,
      "title": "Using pickled data and models",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 255818,
      "title": "Overengineering Features",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 264792,
      "title": "Garch/ARMA models",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 265478,
      "title": "Number of order books?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249899,
      "title": "🔥 Best Previous notebooks that can help winning this competition 🔥",
      "comment_count": 13,
      "views": 0,
      "votes": 76
    },
    {
      "id": 251775,
      "title": "seconds_in_bucket not starting from zero in some parts of the filler data",
      "comment_count": 47,
      "views": 0,
      "votes": 53
    },
    {
      "id": 264829,
      "title": "Precalculate features and joins in a dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 251277,
      "title": "Forward filling book data",
      "comment_count": 29,
      "views": 0,
      "votes": 83
    },
    {
      "id": 252067,
      "title": "Custom SPE loss and RMSPE metric for LightGBM",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 263354,
      "title": "problem with installing custom library to jupyter notebook kernel ",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264848,
      "title": "Foward-Filled Book and Trade Data for Your Convenience",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264184,
      "title": "First TPU Notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 264515,
      "title": "How do install packages into submission notebook",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 252209,
      "title": "Notebook Threw Exception on submissions .",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264387,
      "title": "Internet access disabled - Help me, please!",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262711,
      "title": "Feature engineering and hyperparameters tuning ",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 263039,
      "title": "Understanding volatility ",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 261960,
      "title": "Any meaningful stock clustering?",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 250650,
      "title": "Cross-Validation (CV) vs. Leaderboard (LB)",
      "comment_count": 20,
      "views": 0,
      "votes": 27
    },
    {
      "id": 262089,
      "title": "Separate Models for Stocks",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 262185,
      "title": "Main difference between simple KFold and time id based GroupKfold.",
      "comment_count": 7,
      "views": 0,
      "votes": 20
    },
    {
      "id": 262378,
      "title": "Multiprocessing instead of joblib gives x2 speedup",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 263115,
      "title": " ideas about stock 31 ؟؟",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 256356,
      "title": "Where is the \"magic\" of this competition?",
      "comment_count": 12,
      "views": 0,
      "votes": 45
    },
    {
      "id": 253503,
      "title": "Tips To Speed Up Feature Engineering",
      "comment_count": 13,
      "views": 0,
      "votes": 44
    },
    {
      "id": 263704,
      "title": "Prediction during private leaderboard period",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262238,
      "title": "Submission Scoring error",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 250324,
      "title": "Custom Evaluation",
      "comment_count": 12,
      "views": 0,
      "votes": 118
    },
    {
      "id": 261369,
      "title": "Are you 'ffill'-ing your book data? ",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 261236,
      "title": "Submission Scoring Error on sample_submission.csv",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 252060,
      "title": "Variance inflation factor (VIF)",
      "comment_count": 20,
      "views": 0,
      "votes": 33
    },
    {
      "id": 254206,
      "title": "WAP = (Bid Price*Ask Size) + (Ask Price*Bid Size) / (Bid Size + Ask Size)...Is this correct?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 261913,
      "title": "Any tips to speed up preprocessing and training time?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 262876,
      "title": "submission problem \"Your Notebook cannot use internet access in this competition\".",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262138,
      "title": "lgbm.LGBMRegressor RMSPE",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263086,
      "title": "Features Selection using the information of only the same Stock_Ids/Time_Ids",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 255716,
      "title": "Why LGBM for this data set?",
      "comment_count": 12,
      "views": 0,
      "votes": 11
    },
    {
      "id": 256541,
      "title": "Feature Selection May be the Key for this competition",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 256018,
      "title": "Is aggregating by time_id helped?",
      "comment_count": 17,
      "views": 0,
      "votes": 18
    },
    {
      "id": 261970,
      "title": "how split public / private??",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 261979,
      "title": "Why we need parquet files data?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 261811,
      "title": "Submission problems",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256267,
      "title": "Lost submissions",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 260803,
      "title": "Resources to run notebooks",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 256281,
      "title": "How much time it takes for a submission ?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 255890,
      "title": "LGBM More features = better ?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 256456,
      "title": "NN model with test score 0.27, but publish score 2.9",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 255043,
      "title": "Lessons learnt from Professional experience in Finance",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 252719,
      "title": "An idea of using CNN",
      "comment_count": 21,
      "views": 0,
      "votes": 10
    },
    {
      "id": 249473,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 18,
      "views": 0,
      "votes": 28
    },
    {
      "id": 255310,
      "title": "Tuning params info site",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 261423,
      "title": "conceptual question about the goal of creating a model that calculates the short-term volatility of 10 min",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 261096,
      "title": "Using SQL database",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 256330,
      "title": "No additional details provided for this error?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256454,
      "title": "Why and how to use the order book and trade book data given in the dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 256504,
      "title": "Tuning hyperparameters took long time until notebook expired",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 251611,
      "title": "Ideas about handling stock 31?",
      "comment_count": 6,
      "views": 0,
      "votes": 28
    },
    {
      "id": 256031,
      "title": "Calculation of a basket of the spots",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 255645,
      "title": "Does anyone tried PyTorch?",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 251358,
      "title": "the distribution of calculated vols is different from that of targets  ",
      "comment_count": 20,
      "views": 0,
      "votes": 28
    },
    {
      "id": 255473,
      "title": "Teach me how to avoid memory errror",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 255609,
      "title": "Doubts about test data scoring pipeline (both private and public leaderboard)",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 255608,
      "title": "Resources for understanding stock trading",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 256087,
      "title": "Validate_schema fails on a few stocks",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 252681,
      "title": "Notebook threw exception",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 255615,
      "title": "Need of 'time_id' variable and 'seconds_in_bucket'?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 254138,
      "title": "Book and Trade Data NumPy files for training CNNs and RNNs",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 255747,
      "title": "How could I add the output file for an older version of notebook?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 254586,
      "title": "Starter notebook using Numba to speedup data processing and manual feature extraction",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 254520,
      "title": "Filler data question",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 255612,
      "title": "Debugging via Public RMSPE",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 253320,
      "title": "How about using LSTM?",
      "comment_count": 14,
      "views": 0,
      "votes": 10
    },
    {
      "id": 254103,
      "title": "submission scoring error",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 254969,
      "title": "Lgbm more features, modify parameters?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 254204,
      "title": "Loading Parquet Data",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 254149,
      "title": "Accelerate pandas aggregation by Numba.",
      "comment_count": 8,
      "views": 0,
      "votes": 28
    },
    {
      "id": 255013,
      "title": "My kaggle kernel is out of memory by merely loading the data",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 255129,
      "title": "A possible dublicate trade at stock_id=97, time_id=13235, seconds_in_bucket=500",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 253827,
      "title": "Kaggle Kernel Memory Insufficiency Issue",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 250781,
      "title": "Experimental Setup",
      "comment_count": 23,
      "views": 0,
      "votes": 27
    },
    {
      "id": 254765,
      "title": "Test set issue",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 250688,
      "title": "Results of Correlation Analysis with 192 Features ",
      "comment_count": 8,
      "views": 0,
      "votes": 50
    },
    {
      "id": 254901,
      "title": "Could someone explain the testing method???",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 252861,
      "title": "Would feature selection improve the performance of lightgbm?",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 254489,
      "title": "Doubt about Rerun and Train Dataset",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 254395,
      "title": "Non-sequential time_id variable",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 254038,
      "title": "How do I prevent transposition when applying custom function on the small test ?",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 254519,
      "title": "Understanding the time buckets",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 253085,
      "title": "Will there be extra stocks in the test and forecast data?",
      "comment_count": 10,
      "views": 0,
      "votes": 4
    },
    {
      "id": 254436,
      "title": "Python to R",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249769,
      "title": "test.csv, book_test.parquet and trade_test.parquet",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 253090,
      "title": "cv 0.25, but got 3.33 in the public lb",
      "comment_count": 13,
      "views": 0,
      "votes": 11
    },
    {
      "id": 253981,
      "title": "How to use Fast Fourier Transform",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 253528,
      "title": "Why are we using log returns to compare the stocks prices?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 251503,
      "title": "Issues with submission",
      "comment_count": 12,
      "views": 0,
      "votes": 3
    },
    {
      "id": 253198,
      "title": "Has anyone tried Facebook Kats for Time Series Analysis?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 252676,
      "title": "How to use Facebook Prophet for time series",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 250367,
      "title": "test.csv and book, trade data alignment",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 252459,
      "title": "R Code Examples",
      "comment_count": 5,
      "views": 0,
      "votes": 9
    },
    {
      "id": 252677,
      "title": "Beginner Tutorials for Finance Time Series Analysis",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 252796,
      "title": "Lightgbm in R",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 252541,
      "title": "Effects of multicollinearity ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 253068,
      "title": "second_in_bucket???",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 252640,
      "title": "Eval metrics for LGB with R",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 253226,
      "title": "Weighted average price miscalculation?",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 252795,
      "title": "submission problem",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 252493,
      "title": "NNS ML Library",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 252169,
      "title": "Fast Feature Engineering Rapids + Joblib",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 251543,
      "title": "LGB starter",
      "comment_count": 1,
      "views": 0,
      "votes": 46
    },
    {
      "id": 251517,
      "title": "Custom SPE loss and RMSPE metric for XGBoost",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 251694,
      "title": "Initial observation",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 251567,
      "title": "Time-series-forecasting-methods",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 252507,
      "title": "Hyperparameter tuning",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 251056,
      "title": "Realized volatility from book data",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 249696,
      "title": "XGBoost Baseline with Statistical Feature Engineering",
      "comment_count": 2,
      "views": 0,
      "votes": 22
    },
    {
      "id": 250136,
      "title": "Let's know a bit more about Volatility.",
      "comment_count": 10,
      "views": 0,
      "votes": 13
    },
    {
      "id": 250668,
      "title": "Can we get more information on the Trade?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 251260,
      "title": "why test data is very small?",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 251083,
      "title": "Are the time chosen at random? does something happen between training and target times ?",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 250706,
      "title": "Remember - time_id is not sequential! - Inferring information from next time_id.",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 251134,
      "title": "How is the 10 minute deviation (target value) calculated?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 251576,
      "title": "Useful Visualization on WAP & Log Return for Most & Least Volatility Stock-Time records",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 251032,
      "title": "New to test set data hiding - how does it work?",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 249647,
      "title": "Data Aggregated",
      "comment_count": 12,
      "views": 0,
      "votes": 14
    },
    {
      "id": 249570,
      "title": "Questions About the Stock ID",
      "comment_count": 5,
      "views": 0,
      "votes": 16
    },
    {
      "id": 250891,
      "title": "naive question",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 250221,
      "title": "Starter solution with a 10x speed improvement",
      "comment_count": 4,
      "views": 0,
      "votes": 22
    },
    {
      "id": 249513,
      "title": ".parquet files - how to deal with it?",
      "comment_count": 18,
      "views": 0,
      "votes": 55
    },
    {
      "id": 249969,
      "title": "Relevant Articles and Blogs for Competition",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 250711,
      "title": "Suggestions on how to accelerate solution iterations.",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 250357,
      "title": "What's the use of price 2 and size 2? Can we use a different approach for volatility estimation? ",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 249943,
      "title": "CATBOOST is my favorite Ensemble Learning library 🔥",
      "comment_count": 13,
      "views": 0,
      "votes": 12
    },
    {
      "id": 249825,
      "title": "Advances in Financial Machine Learning",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 250503,
      "title": "Missing trade data for some row_id",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 249516,
      "title": "Related Financial Competitions",
      "comment_count": 3,
      "views": 0,
      "votes": 29
    },
    {
      "id": 250582,
      "title": "A Time Series problem?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 249730,
      "title": "About realized volatility and number of samples in each time bucket",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 249564,
      "title": "Timestamps and time ID",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 249940,
      "title": "👋TensorFlow for Time Series Modeling 👀",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 249913,
      "title": "What is the best approach to do Hyper Parameters tuning in Xgboost on a time series data?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 250737,
      "title": "Team Members ,Anyone with time series expertise",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 249898,
      "title": " 🏆 Winning Solutions of Previous Market Prediction Kaggle Challenges 🏆",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 249967,
      "title": "Top Research Papers for Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 249968,
      "title": "List of Good YouTube Videos on Stock Market Prediction",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 249588,
      "title": "Book_train.parquet vs trade_train.parquet vs train.csv",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 250830,
      "title": "How predictions(to retain existing customers or suggest new products to existing customer) or EDA(of existing customers data) benefit in Life insurance business for clients to get remarkable improvement in business ?",
      "comment_count": 1,
      "views": 0,
      "votes": -8
    },
    {
      "id": 250475,
      "title": "Left-bucketed trades",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 249707,
      "title": "Hello...happy to help",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 249589,
      "title": "How many models should be created?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 250084,
      "title": "How to Load the Data in Python ?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 249545,
      "title": "Notebook Idea",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 249749,
      "title": "Introduction to financial concepts in R",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 249597,
      "title": "Optiver's online course",
      "comment_count": 1,
      "views": 0,
      "votes": null
    }
  ],
  "errors": []
}