{
  "total": 426,
  "topics": [
    {
      "id": 284869,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 19,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 322909,
      "title": "Thanks to all participants for a great competition",
      "comment_count": 6,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 284848,
      "title": "Welcome to the G-Research Crypto Forecasting Challenge",
      "comment_count": 51,
      "views": 0,
      "votes": 65,
      "reused": true
    },
    {
      "id": 286779,
      "title": "Data Creation & External Data Usage",
      "comment_count": 14,
      "views": 0,
      "votes": 55,
      "reused": true
    },
    {
      "id": 323098,
      "title": "2nd place solution",
      "comment_count": 25,
      "views": 0,
      "votes": 87,
      "reused": true
    },
    {
      "id": 300149,
      "title": "Powerful Features: Volatility Estimators! ",
      "comment_count": 6,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 287528,
      "title": "[Papers List] Deep Learning & Trading - Reading List",
      "comment_count": 11,
      "views": 0,
      "votes": 99,
      "reused": true
    },
    {
      "id": 323250,
      "title": "7th place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 74,
      "reused": true
    },
    {
      "id": 323703,
      "title": "3rd place solution",
      "comment_count": 30,
      "views": 0,
      "votes": 67,
      "reused": true
    },
    {
      "id": 285721,
      "title": "Memory Reduction",
      "comment_count": 3,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 286676,
      "title": "1st Place of Jane Street 🏆 ➜ Adapted to Crypto 👌",
      "comment_count": 9,
      "views": 0,
      "votes": 36,
      "reused": true
    },
    {
      "id": 286677,
      "title": "Transformer-based Multivariate Time Series Representation Learning",
      "comment_count": 1,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 294562,
      "title": "An Advanced CNN-LSTM Model for Cryptocurrency Forecasting",
      "comment_count": 1,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 393665,
      "title": "Private scores now showing?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 323602,
      "title": "14th Place Final Submission",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 378548,
      "title": "I can't save the file 'submission.csv'",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 360976,
      "title": "Yam Peleg Notebooks ",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 343919,
      "title": "Using correlated input features for multi output regression",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 313386,
      "title": "13th Place (Final) 1st Place (6 Weeks In) Final Solution",
      "comment_count": 24,
      "views": 0,
      "votes": 91,
      "reused": true
    },
    {
      "id": 327096,
      "title": "When will the late submission open?",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 327751,
      "title": "G-Research Crypto Forecasting Solution & Code Summary (🥇Gold Medal)",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 325776,
      "title": "is there any info on the winning solution?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 325535,
      "title": "Question about submitting winning model code",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 325280,
      "title": "Silver-zone submission with exponential moving average?",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 322910,
      "title": "When can we do late submissions?",
      "comment_count": 5,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 324180,
      "title": "9th Place Solution - Inference",
      "comment_count": 5,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 323803,
      "title": "Intepretation of Scores",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 324054,
      "title": "When will winners be notified?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 323447,
      "title": "Will the private data be available?",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 290806,
      "title": "Major Notebooks Update! ",
      "comment_count": 8,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 323219,
      "title": "Submission Stratgy",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 322886,
      "title": "37th place approach in the G-Research Crypto Forecasting Competition.",
      "comment_count": 6,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 323055,
      "title": "The final Shakeup",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 322899,
      "title": "Analysis of the 6th and final update",
      "comment_count": 3,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 322869,
      "title": "How to get the money",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 320347,
      "title": "Analysis of the 5th update",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 321513,
      "title": "The number of teams has dropped a lot in the last two weeks",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 284909,
      "title": "Papers on Crypto trading",
      "comment_count": 10,
      "views": 0,
      "votes": 109,
      "reused": true
    },
    {
      "id": 318793,
      "title": "Fifth score update",
      "comment_count": 16,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 318846,
      "title": "pretty upset to find my submission failed ",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 319511,
      "title": "Don't lose hope before the final update!",
      "comment_count": 3,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 315984,
      "title": "Fourth score update",
      "comment_count": 1,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 317569,
      "title": "Analysis of the updates",
      "comment_count": 7,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 318108,
      "title": "Crypto candlestick patterns",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 311997,
      "title": "If you're nervous about low scores, don't be, it's illogical!",
      "comment_count": 22,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 316508,
      "title": "G-Research Crypto: Calculating the p-value",
      "comment_count": 7,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 313934,
      "title": "Wrapping up and moving on",
      "comment_count": 7,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 313356,
      "title": "Third score update posted",
      "comment_count": 6,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 285726,
      "title": "[Extra Data] Auto updating dataset collecting market data  |  Baseline + CV ",
      "comment_count": 23,
      "views": 0,
      "votes": 117,
      "reused": true
    },
    {
      "id": 313508,
      "title": "Notebook_NBEATS simplified version with limited features",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 308610,
      "title": "Good notebooks deserving more votes !",
      "comment_count": 17,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 313642,
      "title": "Need help in publishing results",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 313417,
      "title": "Interactive Shakeup Plots",
      "comment_count": 2,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 304907,
      "title": "Score Update Schedule",
      "comment_count": 75,
      "views": 0,
      "votes": 56,
      "reused": true
    },
    {
      "id": 308564,
      "title": "The best glitch candidate: rerun target shifted",
      "comment_count": 12,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 308239,
      "title": "This is weird. Big negative correlation in scores?",
      "comment_count": 52,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 308576,
      "title": "On-line reconstructed target ?",
      "comment_count": 5,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 310718,
      "title": "Second score update posted",
      "comment_count": 48,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 311015,
      "title": "I'm having trouble using gnn",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 301662,
      "title": " Congratulation for Yam Peleg becoming a Notebook Grandmaster! 🥳",
      "comment_count": 6,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 308221,
      "title": "First update posted",
      "comment_count": 39,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 309568,
      "title": "In the face of random results that prove that the method is invalid, which methods are used?",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 308955,
      "title": "why tensorflow loss:mse is different from metrics: mse",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 309371,
      "title": "After the Competition!!",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 308400,
      "title": "Publish the data used for final submission evaluation",
      "comment_count": 3,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 309125,
      "title": "How much single predictions affect the score",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 308489,
      "title": "The best thing is that we have time ahead",
      "comment_count": 4,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 308300,
      "title": "I get error on my final submission",
      "comment_count": 8,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 308260,
      "title": "Updating the supplemental training set",
      "comment_count": 4,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 308325,
      "title": "calm down even if you got negative score. Let's shares your thoughts on this task",
      "comment_count": 10,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 308381,
      "title": "All submissions show \"Error\"",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 308041,
      "title": "First update delayed until tomorrow",
      "comment_count": 6,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 308100,
      "title": "List of features to increase your score",
      "comment_count": 9,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 308230,
      "title": "What's is going on with subs?",
      "comment_count": 3,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 308013,
      "title": "Scores changed again?",
      "comment_count": 11,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 308144,
      "title": "Confusion regarding final score",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 304735,
      "title": "Forecast the different medal zones.",
      "comment_count": 34,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 307050,
      "title": "Similar test data via API",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 304890,
      "title": "Prediction: Gradient boosted decision trees will probably not win this competition",
      "comment_count": 14,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 303651,
      "title": "Chris Deotte on Chai Time Kaggle Talk",
      "comment_count": 25,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 284903,
      "title": "Initial thoughts about this competition ",
      "comment_count": 34,
      "views": 0,
      "votes": 294,
      "reused": true
    },
    {
      "id": 304891,
      "title": ".029 baseline by predicting -(the last known 15 min return). ",
      "comment_count": 9,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 304630,
      "title": "No submission was submitted on the final day",
      "comment_count": 19,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 304793,
      "title": "A lot have been tested in the community’s public notebooks, but what was chosen?",
      "comment_count": 13,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 302478,
      "title": "Recent big drops in the crypto market",
      "comment_count": 9,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 305008,
      "title": "Some interesting validations in different conditions",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 304905,
      "title": "When will be the 1st refresh?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 304661,
      "title": "Manual selection of submission for Final score",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 304698,
      "title": "What happens if we did not select final submission Notebooks?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285289,
      "title": "Meaningful submission scores / sharing the lower boundary of public test data",
      "comment_count": 7,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 304852,
      "title": "Allow users to make their notebooks public",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 304807,
      "title": "So how to use it in real market to make money",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 284868,
      "title": "Looking for a Team Megathread",
      "comment_count": 166,
      "views": 0,
      "votes": 40,
      "reused": true
    },
    {
      "id": 304515,
      "title": "Possible with a re-run within a few days the first time?",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 304631,
      "title": "This is just the beginning ",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 304609,
      "title": "Can We Choose Final Submission after Deadline",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 304510,
      "title": "How cleaned and processed will the evaluation set be?",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 304629,
      "title": "Extend Deadline",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 303302,
      "title": "New update to data supplement",
      "comment_count": 8,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 304729,
      "title": "All submited models report 'Exceeded allow compute' ",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 304628,
      "title": "deleted notebook after submitting for this competition",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 304619,
      "title": "Can i choose the notebooks that will be selected for further evaluation",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 304529,
      "title": "Govt of India new crypto laws",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 304060,
      "title": "Notebook Timeout",
      "comment_count": 12,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 304388,
      "title": "This version of the API is not optimized and should not be used to estimate the runtime of your code on the hidden test set.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 304438,
      "title": "Good luck!",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 290265,
      "title": "Top 5 leader board without training on future data",
      "comment_count": 78,
      "views": 0,
      "votes": 70,
      "reused": true
    },
    {
      "id": 304262,
      "title": "Strategies for choosing final solution",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 304408,
      "title": "Evaluation Data",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 304171,
      "title": "Submission Error",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 304321,
      "title": "Using our algorithms for crypto trading",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 303890,
      "title": "Evaluation phase - private utility scripts allowed?",
      "comment_count": 9,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 304305,
      "title": "Does every iteration of api returns always same 14 rows of data ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 303653,
      "title": "Choosing 0.999 as your last submission? Think about it again",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 303935,
      "title": "Error in submission to G-Research Crypto",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 304218,
      "title": "How should be the crypto names be arranged in the submission ?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 304065,
      "title": "Deadline Monday or Tuesday ?",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 303450,
      "title": "Help: notebook tried to allocate more memory than is available.",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 286070,
      "title": "6-Fold Models Ran for 9 Hours and Received the Timeout Error",
      "comment_count": 18,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 303291,
      "title": "Is there any way to speed up the running time?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 303821,
      "title": "Do we train on full train.csv or only a part ie: data before 2021-06-13 00:00:00 for submission ",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 303886,
      "title": "Inconsistency on submission run times",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 303801,
      "title": "Evaluation metric ??",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 303747,
      "title": "a nuisance to be cleared off,, or is it already handled?",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 291845,
      "title": "Evaluation Metric Clarification",
      "comment_count": 19,
      "views": 0,
      "votes": 60,
      "reused": true
    },
    {
      "id": 303515,
      "title": "Autoregressive Model Pearsonr 0.74, Please provide the historical Target!",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 302530,
      "title": "Target (t-1) as a feature",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 303644,
      "title": "Notice of Submission with API",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 303640,
      "title": "The Scoring process has run for 7 hours and is still runnning",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 302546,
      "title": "Submission Error - Steps to Diagnose? Meaning of group_num?",
      "comment_count": 6,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 303380,
      "title": "About the time limit for the evaluation period",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 303373,
      "title": "Data path suddenly change?",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 303286,
      "title": "Notebook timeout - how to process features engineering?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301998,
      "title": "Ensemble learning",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 303157,
      "title": "where should I save my model",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 302829,
      "title": "Timeout Error While using Pre-traind model",
      "comment_count": 3,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 289138,
      "title": "Using reduce_mem_usage Significantly Reduces Score for Linear Regression",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 302789,
      "title": "Should I train model in submission notebook?",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 302834,
      "title": "Submission Question",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 284856,
      "title": "Past & Present Forecasting Competitions",
      "comment_count": 7,
      "views": 0,
      "votes": 53,
      "reused": true
    },
    {
      "id": 302684,
      "title": "Notebook Timeout Issues",
      "comment_count": 17,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 301844,
      "title": "Under 2 weeks to submission deadline!",
      "comment_count": 9,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 286778,
      "title": "Eval Metric, Target, Weights",
      "comment_count": 47,
      "views": 0,
      "votes": 111,
      "reused": true
    },
    {
      "id": 302848,
      "title": "Omit Submission Error By Using Accelerator",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 302582,
      "title": "GPU On but Not Engaged",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 302547,
      "title": "Submission Question",
      "comment_count": 8,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 301962,
      "title": "Using models that are trained offline",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 302543,
      "title": "Submission - OutofMemory or ValueError: Input contains NaN, infinity or ",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 300906,
      "title": "Interim update to supplemental_train.csv",
      "comment_count": 28,
      "views": 0,
      "votes": 43,
      "reused": true
    },
    {
      "id": 302507,
      "title": "Question about Hist data in private scoring",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 302445,
      "title": "CombinationalPurgedKFold: CPCV",
      "comment_count": 5,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 301726,
      "title": "Share your own socre",
      "comment_count": 13,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 302602,
      "title": "Test_df contains one group or several?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 287607,
      "title": "Always Submission Scoring Error",
      "comment_count": 6,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 302550,
      "title": "Memory Error",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 290412,
      "title": "Public Leaderboard & API Clarifications",
      "comment_count": 13,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 302330,
      "title": "submission success guarantees to run on real test dataset?",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 286389,
      "title": "Ideas for Feature Engineering",
      "comment_count": 19,
      "views": 0,
      "votes": 52,
      "reused": true
    },
    {
      "id": 302168,
      "title": "Can we predict the recent market crash?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 302383,
      "title": "Is there are any SHAKEUP???",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301175,
      "title": "Graph based time series predictions",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301012,
      "title": "Many are using LightGBM and variants for this competition, any reasons?",
      "comment_count": 8,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 302234,
      "title": "Better Choices to use our models. ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 298294,
      "title": "Live Leaderboard",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 294667,
      "title": "Is it able to use R to complete this competition?",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 301946,
      "title": "GridSearchCV does not seem to work with LightGBM",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301359,
      "title": "right evaluation window for short term crypto prediction",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 301997,
      "title": "Can it only be done using R?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 295255,
      "title": "Let's talk feature selection",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 295074,
      "title": "Submission timeouts",
      "comment_count": 10,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 301140,
      "title": "am I (continuing) hallucinating?",
      "comment_count": 5,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 301300,
      "title": "Missing targets - Reconstruct and then model?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 301794,
      "title": "Submission Scoring Error ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 301372,
      "title": "correlation has the useful property that it tends to normalize leading-order volatility out of the covariance between target and prediction",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 301434,
      "title": "Offline training and inference from saved models",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 301316,
      "title": "Relatively new to Kaggle - Always run Notebooks from the start",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 301609,
      "title": "Changes to the supplemental_train.csv",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 301257,
      "title": "Different score during submission",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301049,
      "title": "Errors in supplemental_train csv update.",
      "comment_count": 4,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 285168,
      "title": "How long does the notebook/API run in the evaluation phase?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 301583,
      "title": "How you install TF 1.15 and dependencies to run RL Stable Baselines offline",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 285505,
      "title": "Watch out!: test LB period is contained in the train csv",
      "comment_count": 18,
      "views": 0,
      "votes": 66,
      "reused": true
    },
    {
      "id": 301510,
      "title": "Using Plotly freezes the notebook",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 301333,
      "title": "Some potentially useful features",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 301136,
      "title": "About test period after submission",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 301152,
      "title": "log(x) or (x-1)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 286772,
      "title": "Autoregressive models",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 301133,
      "title": "How to speed up keras model.predict ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 300819,
      "title": "Pre-trained model",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 298140,
      "title": "Workflow Question",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 300880,
      "title": "train_supplement & possible production issues",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 287088,
      "title": "Has Anyone Successfully Obtained Scores by Using More than One Model",
      "comment_count": 6,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 301093,
      "title": "What is .competitions in the gresearch_crypto folder?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 300416,
      "title": "missing timestamps",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 299458,
      "title": "Share My Own Pipeline",
      "comment_count": 4,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 295690,
      "title": "Quant-ML Resource Website",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 300170,
      "title": "So... what's \"count\" and it is useful?",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 300745,
      "title": "Modeling the data - What time value ",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 300658,
      "title": "Importing gresearch_crypto on Mac-- Impossible?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 300863,
      "title": "ML-Quant: Professional Research Papers and Code",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 300730,
      "title": "I tried importing 'gresearch_crypto in a Kaggle notebook, and failed",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 284949,
      "title": "What is group_num column ?",
      "comment_count": 4,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 300694,
      "title": "Me when I think which model should be best for a problem... ",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 299460,
      "title": "Is validation score around 0.01?",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 300357,
      "title": "Question of time series API in this competition",
      "comment_count": 9,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 300581,
      "title": "recreating the target: '' online''",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 299797,
      "title": "Use of data after competition closes.",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 298661,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 297679,
      "title": "How to reduce loop runtime",
      "comment_count": 9,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 286012,
      "title": "How to recreate the evaluation metric?",
      "comment_count": 1,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 299771,
      "title": "Custom TF/Keras loss for NN baseline (+SHAP)",
      "comment_count": 2,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 299774,
      "title": "Custom lgbm loss?",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 299299,
      "title": "winners???",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 299632,
      "title": "Retraining after submission",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 300127,
      "title": "Should LSTM be Used? If Yes, How?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 300077,
      "title": "TensorFlow Lite to prevent timeout of TF models",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 299496,
      "title": "How Should I Make Sense of the Target Provided?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 299516,
      "title": "I can't import gresearch_crypto on Kaggle Notebbok",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 287139,
      "title": "Getting NoneTypeError with enumerate(iter_test) in loop ",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 284884,
      "title": "[Links List] Winning Solutions of Kaggle Time Series Forecasting Challenges",
      "comment_count": 3,
      "views": 0,
      "votes": 58,
      "reused": true
    },
    {
      "id": 299498,
      "title": "Making Sense of a Code Snippet Found in Recreating the Target",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 299497,
      "title": "Local API Emulator is now available as a module",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 297000,
      "title": "Possible Reasons for Submission Scoring Error",
      "comment_count": 18,
      "views": 0,
      "votes": 39,
      "reused": true
    },
    {
      "id": 299131,
      "title": "Does anyone know the size of the real test data?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 299301,
      "title": "Prediction Length in test data ? ",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 297706,
      "title": "On-line target calculation",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 299180,
      "title": "Scikit's  Time Series Split",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 299191,
      "title": "How to enable autocomplete in kaggle notebook(note to self)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 299035,
      "title": "Is this a good MSE with a LGBM model?",
      "comment_count": 3,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 298060,
      "title": "The dominance of tree-based methods in time series predictions",
      "comment_count": 3,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 298401,
      "title": "Can we use rolling window features in this challenge?",
      "comment_count": 6,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 298761,
      "title": "Notebook timeouts",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 298328,
      "title": "Using Neural Net",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 289885,
      "title": "How to complete missing data",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 297912,
      "title": "Submission file",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 298250,
      "title": "Faster dataframes with Polars instead of Pandas",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 298413,
      "title": "Reproduce of the  LB score.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 298373,
      "title": "Why is the sample_submission score -1?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 297958,
      "title": "Submission example using the API",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 298209,
      "title": "Crypto theses for 2022",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 297987,
      "title": "Where is the \"CV criteria\" for medal?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 297999,
      "title": "Eval Metric, Target, Weights",
      "comment_count": 0,
      "views": 0,
      "votes": -3
    },
    {
      "id": 297131,
      "title": "Top 10% in the private LB",
      "comment_count": 3,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 297724,
      "title": "LB Distribution and CDF",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 296216,
      "title": "Adv-ALSTM: LSTM with Adversarial Training",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 297531,
      "title": "Downsamling of OHLC data needed? ",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 297371,
      "title": "Problems importing gresearch_crypto module",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 297592,
      "title": "a subject matter question",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 287533,
      "title": "Time Series Modeling - Starter Notebooks",
      "comment_count": 1,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 296744,
      "title": "The way I think the problem should be handled and where exactly are models going wrong ",
      "comment_count": 9,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 297399,
      "title": "Faster Optimization using GPU Multiprocessing",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 294928,
      "title": "[Compilation] - 5 Feature Engineering Notebooks for newcomers joining in",
      "comment_count": 5,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 295999,
      "title": "What is going on here ?",
      "comment_count": 5,
      "views": 0,
      "votes": -4,
      "reused": true
    },
    {
      "id": 296626,
      "title": "Use Machine Learning to Predict Price, Then Calculate Target ",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 286759,
      "title": "Vintage methods",
      "comment_count": 4,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 285480,
      "title": "Adventures in validation",
      "comment_count": 7,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 287524,
      "title": "Submission Scoring Error",
      "comment_count": 3,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 296666,
      "title": "What is the ideal team size for this competition?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 296635,
      "title": "Questions about Notebook Timeout",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 296359,
      "title": "Exception: You can only call `make_env()` once",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 286123,
      "title": "Why is it \"notebook timeout\"?",
      "comment_count": 17,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 295635,
      "title": "What are variables for submissive.csv ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 296019,
      "title": "Asset weights change over time?",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 292960,
      "title": "[Updated]Where is the test data?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 287385,
      "title": "hosts should remove the overfitted PB",
      "comment_count": 7,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 285183,
      "title": "Meaning of weights ? ",
      "comment_count": 9,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 295933,
      "title": "Local API Emulator",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 285499,
      "title": "Loading gresearch_crypto from Jupyter on Windows",
      "comment_count": 5,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 293654,
      "title": "Generating missing Target values",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 295416,
      "title": "Memory errors, large datas",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 295311,
      "title": "Submission Errors",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 294885,
      "title": "日本語情報 all the info in Japanese🇯🇵",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 295180,
      "title": "KeyError: 'initialized_diffuse' when loading models into notebook",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 291323,
      "title": "What model to choose here?",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 295191,
      "title": "Code Tab and feature engineering",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 295253,
      "title": "Expectation for using the supplemental train data after the submission period?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 292382,
      "title": "Num of Feature",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 294998,
      "title": "What should I use for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 295013,
      "title": "Submitting the trained model",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 291596,
      "title": "Can We Use Window/Lag Data For Features?",
      "comment_count": 9,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 293994,
      "title": "On-line Feature Engineering, Ensemble Calibration and Submission",
      "comment_count": 6,
      "views": 0,
      "votes": 39,
      "reused": true
    },
    {
      "id": 294799,
      "title": "Submitting Lagged Features via API",
      "comment_count": 1,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 294810,
      "title": "Missing targets?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285743,
      "title": " Where do you get code samples from?",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 286493,
      "title": "Meaning of supplemental_train ?",
      "comment_count": 1,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 294574,
      "title": "Spectral Temporal GNN(Graph Neural Network)",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 294572,
      "title": "LSTM X Wavelets",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 294412,
      "title": "Looking for a team",
      "comment_count": 1,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 294230,
      "title": "Bitcoin Time series",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 294080,
      "title": "Why my Submission reports a \"Submission Scoring Error\"",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 293843,
      "title": "Example code for submit time-lagged features with gresearch_crypto module",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 292537,
      "title": "First chunk ignored during evaluation",
      "comment_count": 4,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 289519,
      "title": "[Compilation] Good starter Notebooks- G-Research Crypto Forecasting ₿💵",
      "comment_count": 6,
      "views": 0,
      "votes": 43,
      "reused": true
    },
    {
      "id": 293445,
      "title": "Few questions",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 293598,
      "title": "Final submission",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 291093,
      "title": "[Trader's Voice] Some Advices and Some Doubts",
      "comment_count": 8,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 289023,
      "title": "Time to load Data",
      "comment_count": 12,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 293440,
      "title": "Final Winning Score?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 287499,
      "title": "Granger causality test, IOTA, and strange results?",
      "comment_count": 12,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 291260,
      "title": "Looking at Cardano (NaN and infinity)",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285606,
      "title": "The target is different from the outcome of log_return() function",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285811,
      "title": "Abandoned competition?",
      "comment_count": 11,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 285366,
      "title": "what is supplemental_train.csv file...",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 289772,
      "title": "Evaluation Question",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 291163,
      "title": "How to use \"supplemental_train.cvs\"",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 291575,
      "title": "Using external data in the forecasting period",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 291891,
      "title": "Yet another scoring error post, with error source",
      "comment_count": 4,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 291379,
      "title": "Price feature should be normalized",
      "comment_count": 8,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 291609,
      "title": "Does anyone tried RL model?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 287379,
      "title": "Weird right ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285624,
      "title": "**Not clear the way beta_a is calculated**",
      "comment_count": 15,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 285600,
      "title": "Price used for calculation of the Target",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 289354,
      "title": "Why submission.csv has only 55 rows?",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 291478,
      "title": "[Survey] How to judge chaos or not?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 291477,
      "title": "Baseline forecast using historic average of target [local CV=0.00188]",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 291468,
      "title": "Surrogate data testing: Data is chaos or not?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 291417,
      "title": "When is Competition End Date?",
      "comment_count": 1,
      "views": 0,
      "votes": -9,
      "reused": true
    },
    {
      "id": 290021,
      "title": "Error handling reminder",
      "comment_count": 4,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 287299,
      "title": "Why are some VWAP values inf?",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 285453,
      "title": "How to import the api ",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 291299,
      "title": "Tutorial on how to import gresearch_crypto on Windows (using WLS)",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 291139,
      "title": "new teammate for chinese",
      "comment_count": 0,
      "views": 0,
      "votes": -6
    },
    {
      "id": 285957,
      "title": "Updating features for predictions",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 287710,
      "title": "Tab-lib is so nice.",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 287554,
      "title": "Starter SARIMA model with incremental training",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 285754,
      "title": "All About Timeseries Forecasting",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 289714,
      "title": "Notebook Timeout; Simple LightGBM Model",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 289818,
      "title": "Could anyone suggest some starter notebooks for this competition.",
      "comment_count": 10,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 290579,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 290270,
      "title": "Is it possible to get some packages installed?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 290347,
      "title": "what should be the target?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 287804,
      "title": "Avoid Overfitting with Feature Neutralization",
      "comment_count": 3,
      "views": 0,
      "votes": 54,
      "reused": true
    },
    {
      "id": 288555,
      "title": "Common factors / CV / Feature importance / Evaluation function",
      "comment_count": 7,
      "views": 0,
      "votes": 37,
      "reused": true
    },
    {
      "id": 290209,
      "title": "CV not correlated with lb without overlap ! Yet again",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 285796,
      "title": "Do we need to change  datasets?",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 290122,
      "title": "How should i solve Nan values in Maker Asset ID ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 290117,
      "title": "group_num in example_test.csv and sample_submission.csv",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 288866,
      "title": "about forecasting timeline",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 289505,
      "title": "leaderboard score",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285713,
      "title": "How was the data created? ",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 284913,
      "title": "External \"Elon Musk's Tweets\" dataset allowed? 😂",
      "comment_count": 25,
      "views": 0,
      "votes": 85,
      "reused": true
    },
    {
      "id": 289000,
      "title": "Novice questions about iter_test and forecasting horizon",
      "comment_count": 7,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 289038,
      "title": "Ferrofluids in the teaser?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 285359,
      "title": "My Submission is taking way longer time than expected/",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 288216,
      "title": "is being able to recalculate the target a 'must' for training?",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 288557,
      "title": "Submission Scoring Error",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 287777,
      "title": "Public leaderboard scores",
      "comment_count": 5,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 288123,
      "title": "Command handler response not valid JSON ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 287682,
      "title": "How can I create the lag of the Target?",
      "comment_count": 6,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 288004,
      "title": "about the data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 287609,
      "title": "Does Age matter when collecting prize?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 287724,
      "title": "One place for gold has been added to leaderboard as 500 + teams have joined the competition",
      "comment_count": 0,
      "views": 0,
      "votes": -4
    },
    {
      "id": 286999,
      "title": "What is your best score without overlap?",
      "comment_count": 7,
      "views": 0,
      "votes": 20,
      "reused": true
    },
    {
      "id": 287654,
      "title": "Carbon footprint of cryptocurrencies",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 287603,
      "title": "Accuracy for the real trade short term return predictions.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 287558,
      "title": "XGB model with windowed features",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 287548,
      "title": "Increasing the LB score precision",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 287527,
      "title": "Optimizing hyper-parameters over the new CV - Some experiments",
      "comment_count": 0,
      "views": 0,
      "votes": 16
    },
    {
      "id": 287380,
      "title": "Does your model pays attention to the 'Volume'  feature ? ",
      "comment_count": 1,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 285878,
      "title": "WTH is going on??!!!",
      "comment_count": 9,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 287415,
      "title": "Using my own pre-trained models!",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 285157,
      "title": "Error in submit submission.csv. ",
      "comment_count": 6,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 287217,
      "title": "Will the public leaderboard remain unknown forever?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 286415,
      "title": "Numerai: a stock price forecasting competition platform",
      "comment_count": 2,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 286829,
      "title": "Use the Supplement_Train.CSV!",
      "comment_count": 6,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 286292,
      "title": "Useful libraries",
      "comment_count": 8,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 285913,
      "title": "Getting and Aggregating 1m Binance Data",
      "comment_count": 4,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 286491,
      "title": "How VWAP is obtained/calculated?",
      "comment_count": 7,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 286369,
      "title": "Age Requirement",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 286135,
      "title": "How to effectively use the training dataset?",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 286107,
      "title": "What's important?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 285883,
      "title": "Scraped Data Allowed?",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 286190,
      "title": "What is going on with SUBMISSIONS in this competition?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285437,
      "title": "Anyone submissions taking oddly long?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285705,
      "title": "Sequence & Overlapping train - test ",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285211,
      "title": "Time-series API Details",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 286061,
      "title": "[Review paper] \"Forecasting: Theory and practice\"",
      "comment_count": 4,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 286492,
      "title": "A Gold Mine",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 285194,
      "title": "Help with data understanding",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285554,
      "title": "50 days gap + Neutralizing Features + DenseNet = my bronze medal at Jane Street competition",
      "comment_count": 1,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 285777,
      "title": "What other technical indicators can we be used as features?",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 285948,
      "title": "time remaining for the submission to be completed",
      "comment_count": 1,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 285902,
      "title": "How could I install ",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 285343,
      "title": "Let's talk Validation! 📋",
      "comment_count": 3,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 284883,
      "title": "[Compilation] - Winning Solutions of Previous Market Prediction Kaggle Challenges",
      "comment_count": 2,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 284924,
      "title": "What exactly are we predicting...",
      "comment_count": 11,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 286194,
      "title": "find freind to join team ",
      "comment_count": 0,
      "views": 0,
      "votes": -13
    },
    {
      "id": 286095,
      "title": "The first minute of every month is missing.",
      "comment_count": 1,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 286050,
      "title": "Make a team ",
      "comment_count": 1,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 285742,
      "title": "External Dataset",
      "comment_count": 13,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 286101,
      "title": "No Gold in leaderboard",
      "comment_count": 2,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 286100,
      "title": "Binance Vision External Data",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 285974,
      "title": "Using more recent data",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 285291,
      "title": "A Faster Way to Load Data",
      "comment_count": 19,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 284919,
      "title": "Probably the most important paper for this competition",
      "comment_count": 8,
      "views": 0,
      "votes": 17,
      "reused": true
    },
    {
      "id": 284946,
      "title": "Questions about Data",
      "comment_count": 3,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 285903,
      "title": "Target variable + Forecasting Window + Data during 3 months period?",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 284910,
      "title": "Papers on Short Term Trading and Returns",
      "comment_count": 2,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 285836,
      "title": "What happened on 2019-10-16 and 2019-10-23 ? ",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 285735,
      "title": "Anyone has an idea about the range of a reasonable score?",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 285676,
      "title": "target values do not match definition of the tutorial",
      "comment_count": 4,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 284942,
      "title": "Are we allowed to collect market data during these three months to extend the train set?",
      "comment_count": 19,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 285670,
      "title": "There are two types of people: those with LB=0.999 and those who avoid the temptation ;)",
      "comment_count": 5,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 285150,
      "title": "Why not hiding / disabling the public leaderbord ? ",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 285719,
      "title": "Memory crashing",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 285673,
      "title": "Will the test data update?",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 285678,
      "title": "Loading external data with yfinance",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 285527,
      "title": "The scoring background job for this competetion is way toooooo slow",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285674,
      "title": "Combining Data Streams Between Cryptocurrencies",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 285241,
      "title": "Question about the submission",
      "comment_count": 6,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 285165,
      "title": "Is there going to be any ongoing re-training of the model during the qualification period",
      "comment_count": 10,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 285474,
      "title": "Calculation rolling average over time part...",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 285196,
      "title": "Train Dataset in Feather Format",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 285392,
      "title": "Will submitted notebooks be able to retrain during the evaluation period?  ",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 285176,
      "title": "Brute-Force Multi-Task RNN?",
      "comment_count": 5,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 285290,
      "title": "This contest is just another way for crypto to waste some more precious GPU time",
      "comment_count": 1,
      "views": 0,
      "votes": -5,
      "reused": true
    },
    {
      "id": 285103,
      "title": "Question about implement rolling feature ?",
      "comment_count": 4,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 285014,
      "title": "Question about API",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 285167,
      "title": "Are we able to submit multiple models, e.g. one per crypto coin or just one for all of them",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 285047,
      "title": "[Package Summary] - Every single AutoML + Time-series package out there",
      "comment_count": 0,
      "views": 0,
      "votes": 28
    },
    {
      "id": 284952,
      "title": "Exchange for the Training Dataset Collected",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 284927,
      "title": "Hey quick question about source",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 284925,
      "title": "Expecting exactly 2015112 rows in test phase?",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 284905,
      "title": "Allure of public leaderboard is irresistible. But not here!",
      "comment_count": 0,
      "views": 0,
      "votes": 24
    },
    {
      "id": 284888,
      "title": "🔥 Relevant Notebooks from Optiver & Janesteet competitions to start from! 🔥",
      "comment_count": 0,
      "views": 0,
      "votes": 30
    },
    {
      "id": 284866,
      "title": "Search partner(s) for this competition",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    }
  ],
  "errors": []
}