{
  "capped": false,
  "live": 701,
  "meta": 714,
  "kernels": [
    {
      "ref": "dmitriybykov/optiver-volatility",
      "title": "optiver-volatility",
      "source": "live",
      "kernel_id": "135575429"
    },
    {
      "ref": "qqqaaavvv/optiver-rv",
      "title": "Optiver RV",
      "source": "live",
      "kernel_id": "127645846"
    },
    {
      "ref": "harpilpatel58/optiver-realized-volitillity-prediction",
      "title": "Optiver_Realized_Volitillity_Prediction",
      "source": "live",
      "kernel_id": "126400240"
    },
    {
      "ref": "ashrafsalahedlin/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "126058516"
    },
    {
      "ref": "animationanimatoor/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "124652833"
    },
    {
      "ref": "animationanimatoor/notebook229c18b29c",
      "title": "notebook229c18b29c",
      "source": "live",
      "kernel_id": "124258674"
    },
    {
      "ref": "hasarinduperera/classical-vs-quantum-reservoir-computing",
      "title": "Classical vs Quantum Reservoir Computing",
      "source": "live",
      "kernel_id": "119354531"
    },
    {
      "ref": "nikitamarin2002/notebookdc294d0d3f",
      "title": "notebookdc294d0d3f",
      "source": "live",
      "kernel_id": "118834282"
    },
    {
      "ref": "vxtnvk/optiver-nn-inference",
      "title": "Optiver NN Inference",
      "source": "live",
      "kernel_id": "115561349"
    },
    {
      "ref": "vxtnvk/optiver-nn-solution",
      "title": "Optiver NN Solution",
      "source": "live",
      "kernel_id": "115541919"
    },
    {
      "ref": "xulinliao/optiver-rv-ipynb",
      "title": "optiver-RV.ipynb",
      "source": "live",
      "kernel_id": "113933883"
    },
    {
      "ref": "kemaldemirba/the-quant-architecture",
      "title": "The Quant Architecture",
      "source": "live",
      "kernel_id": "112746684"
    },
    {
      "ref": "lalahrukh/public-2nd-place-solution",
      "title": "public 2nd place solution",
      "source": "live",
      "kernel_id": "111712991"
    },
    {
      "ref": "alexanderkireev/06-ml-trainings-cv",
      "title": "06_ml_trainings_cv",
      "source": "live",
      "kernel_id": "111043535"
    },
    {
      "ref": "eltonwuu/notebookfec915201c",
      "title": "notebookfec915201c",
      "source": "live",
      "kernel_id": "93059584"
    },
    {
      "ref": "myt888/0928-trans-5-topn-2",
      "title": "0928 TRANS*5 TOPN=2",
      "source": "live",
      "kernel_id": "85555684"
    },
    {
      "ref": "myt888/2lgbm-2nn",
      "title": "2LGBM + 2NN",
      "source": "live",
      "kernel_id": "85507478"
    },
    {
      "ref": "myt888/public-2nd-place-solution",
      "title": "public 2nd place solution",
      "source": "live",
      "kernel_id": "85497714"
    },
    {
      "ref": "geelenny/mlp-submission-feature-analysis-work",
      "title": "MLP Submission feature analysis work",
      "source": "live",
      "kernel_id": "80387482"
    },
    {
      "ref": "glennjohnston/lstm-submission-silent-training",
      "title": "LSTM Submission (Silent Training)",
      "source": "live",
      "kernel_id": "79847181"
    },
    {
      "ref": "glennjohnston/lstm-submission",
      "title": "LSTM Submission",
      "source": "live",
      "kernel_id": "79753497"
    },
    {
      "ref": "glennjohnston/fork-of-lightgbm-submission",
      "title": "Fork of LightGBM Submission",
      "source": "live",
      "kernel_id": "79713468"
    },
    {
      "ref": "jeffersonrafael/jefferson-version-feature-engineering-lightgbm",
      "title": "Jefferson version | Feature Engineering + LightGBM",
      "source": "live",
      "kernel_id": "73477876"
    },
    {
      "ref": "lagtrain/big-data-final-project",
      "title": "Big Data Final Project",
      "source": "live",
      "kernel_id": "68380506"
    },
    {
      "ref": "tplin2/notebook21edeb51eb",
      "title": "notebook21edeb51eb",
      "source": "live",
      "kernel_id": "66669634"
    },
    {
      "ref": "dymasyusuf/optiver-realized-volatility-prediction-dym",
      "title": "Optiver_Realized_Volatility_Prediction_Dym",
      "source": "live",
      "kernel_id": "66197763"
    },
    {
      "ref": "josepeeterson92/jper-optiver-submission",
      "title": "JPER_optiver_submission",
      "source": "live",
      "kernel_id": "58162355"
    },
    {
      "ref": "rohitkrbose/feature-engineering-lightgbm",
      "title": "Feature Engineering + LightGBM",
      "source": "live",
      "kernel_id": "57174816"
    },
    {
      "ref": "mohamednageeye12/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "56706296"
    },
    {
      "ref": "carrotwait/accelerate-your-feature-generation",
      "title": "⚡Accelerate 🚀Your Feature Generation！",
      "source": "live",
      "kernel_id": "48453404"
    },
    {
      "ref": "cinsiang/data-mining-project",
      "title": "Data Mining Project",
      "source": "live",
      "kernel_id": "45673171"
    },
    {
      "ref": "motatasher/notebook1c8bffcae6",
      "title": "notebook1c8bffcae6",
      "source": "live",
      "kernel_id": "45639023"
    },
    {
      "ref": "ngwantengwei/kaggle-trial",
      "title": "Kaggle Trial",
      "source": "live",
      "kernel_id": "45275353"
    },
    {
      "ref": "anwarmathdu/fin-math-midterm-project-md-anwar-hossain",
      "title": "Fin.Math_Midterm.Project_Md Anwar Hossain",
      "source": "live",
      "kernel_id": "45081465"
    },
    {
      "ref": "brendanchamberlain/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "45030153"
    },
    {
      "ref": "brendanchamberlain/data-processing-map6605",
      "title": "data_processing_MAP6605",
      "source": "live",
      "kernel_id": "45022345"
    },
    {
      "ref": "brendanchamberlain/eda-map6605",
      "title": "eda_MAP6605",
      "source": "live",
      "kernel_id": "45022176"
    },
    {
      "ref": "sabrinahossain/sabrina-midterm",
      "title": "Sabrina_Midterm",
      "source": "live",
      "kernel_id": "44983493"
    },
    {
      "ref": "lissadaniel/submit-map6605",
      "title": "submit_MAP6605",
      "source": "live",
      "kernel_id": "44981429"
    },
    {
      "ref": "felixdeladjokoto/submit-map6605",
      "title": "submit_MAP6605",
      "source": "live",
      "kernel_id": "44976056"
    },
    {
      "ref": "sayurasankalpa/submit-map6605-sayura-senaratne",
      "title": "submit_MAP6605_Sayura Senaratne",
      "source": "live",
      "kernel_id": "44974913"
    },
    {
      "ref": "felixdeladjokoto/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "44936461"
    },
    {
      "ref": "sayurasankalpa/train-map6605-sayura-senaratne",
      "title": "train_MAP6605_Sayura Senaratne",
      "source": "live",
      "kernel_id": "44903676"
    },
    {
      "ref": "felixdeladjokoto/eda-map6605-c27705",
      "title": "eda_MAP6605 c27705",
      "source": "live",
      "kernel_id": "44898799"
    },
    {
      "ref": "lissadaniel/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "44898325"
    },
    {
      "ref": "felixdeladjokoto/data-processing-map6605",
      "title": "data_processing_MAP6605",
      "source": "live",
      "kernel_id": "44894379"
    },
    {
      "ref": "josephinegisema/submit-map6605",
      "title": "submit_MAP6605",
      "source": "live",
      "kernel_id": "44858967"
    },
    {
      "ref": "lissadaniel/data-processing-map6605",
      "title": "data_processing_MAP6605",
      "source": "live",
      "kernel_id": "44781604"
    },
    {
      "ref": "lissadaniel/eda-map6605",
      "title": "eda_MAP6605",
      "source": "live",
      "kernel_id": "44780789"
    },
    {
      "ref": "josephinegisema/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "44691143"
    },
    {
      "ref": "bladeblaster/eda-final-project",
      "title": "EDA - Final Project",
      "source": "live",
      "kernel_id": "44624213"
    },
    {
      "ref": "josephinegisema/eda-map6605",
      "title": "eda_MAP6605",
      "source": "live",
      "kernel_id": "44356256"
    },
    {
      "ref": "josephinegisema/data-processing-map6605",
      "title": "data_processing_MAP6605",
      "source": "live",
      "kernel_id": "44356131"
    },
    {
      "ref": "syedasiftayeasmin/midterm-project-assignment",
      "title": "Midterm Project Assignment",
      "source": "live",
      "kernel_id": "44317728"
    },
    {
      "ref": "sayurasankalpa/data-processing-map6605-sayura-senaratne",
      "title": "data_processing_MAP6605_Sayura Senaratne",
      "source": "live",
      "kernel_id": "44199350"
    },
    {
      "ref": "sayurasankalpa/eda-map6605-sayura-senaratne",
      "title": "eda_MAP6605_Sayura Senaratne",
      "source": "live",
      "kernel_id": "43741481"
    },
    {
      "ref": "feiheng/train-map6605",
      "title": "train_MAP6605",
      "source": "live",
      "kernel_id": "43630679"
    },
    {
      "ref": "feiheng/submit-map6605",
      "title": "submit_MAP6605",
      "source": "live",
      "kernel_id": "43606727"
    },
    {
      "ref": "feiheng/data-processing-map6605",
      "title": "data_processing_MAP6605",
      "source": "live",
      "kernel_id": "43514448"
    },
    {
      "ref": "pablosh/market-volatility-prediction",
      "title": "Market volatility prediction",
      "source": "live",
      "kernel_id": "43487303"
    },
    {
      "ref": "feiheng/eda-map6605",
      "title": "eda_MAP6605",
      "source": "live",
      "kernel_id": "43479024"
    },
    {
      "ref": "anghungyie/optiver",
      "title": "Optiver",
      "source": "live",
      "kernel_id": "43062446"
    },
    {
      "ref": "violettamamykova/stock-embedding-ffnn-my-features",
      "title": "Stock Embedding - FFNN - My features",
      "source": "live",
      "kernel_id": "43019727"
    },
    {
      "ref": "mihailturlakov/r-vol-stock-specific-regression",
      "title": "R_Vol - stock-specific regression",
      "source": "live",
      "kernel_id": "42984549"
    },
    {
      "ref": "goolkinsnose/stock-embedding-ffnn-my-features-a5d6b0",
      "title": "Stock Embedding - FFNN - My features a5d6b0",
      "source": "live",
      "kernel_id": "42603967"
    },
    {
      "ref": "goolkinsnose/stock-embedding-ffnn-my-features",
      "title": "Stock Embedding - FFNN - My features",
      "source": "live",
      "kernel_id": "42507682"
    },
    {
      "ref": "mihailturlakov/mt-real-vol",
      "title": "MT_real_vol",
      "source": "live",
      "kernel_id": "39029069"
    },
    {
      "ref": "jieren1234/optiver-final",
      "title": "Optiver final",
      "source": "live",
      "kernel_id": "38835539"
    },
    {
      "ref": "yolovo/ensemble-lgbm-cat-nn-tabnet",
      "title": "Ensemble LGBM+Cat+NN+Tabnet",
      "source": "live",
      "kernel_id": "38194523"
    },
    {
      "ref": "sanusiisiaqolatunji/volatility-prediction-using-garch",
      "title": "Volatility prediction using garch",
      "source": "live",
      "kernel_id": "38076921"
    },
    {
      "ref": "pranjal942/notebook19a6ef8b43",
      "title": "notebook19a6ef8b43",
      "source": "live",
      "kernel_id": "37516817"
    },
    {
      "ref": "eliedme/mfg-notebook",
      "title": "MFG Notebook",
      "source": "live",
      "kernel_id": "37268366"
    },
    {
      "ref": "dasbro/lgbt-newfeature",
      "title": "LGBT+newfeature",
      "source": "live",
      "kernel_id": "33095473"
    },
    {
      "ref": "ganeshborkar31/realized-volatility-prediction-xgbregressor",
      "title": "Realized Volatility Prediction - XGBRegressor",
      "source": "live",
      "kernel_id": "33072555"
    },
    {
      "ref": "hitvarth/optiver-challenge-ds203-project",
      "title": "optiver_challenge_DS203 project",
      "source": "live",
      "kernel_id": "32739295"
    },
    {
      "ref": "zxy111/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "31823603"
    },
    {
      "ref": "gagble/optiver",
      "title": "OPTIVER",
      "source": "live",
      "kernel_id": "30263569"
    },
    {
      "ref": "chrisrichardmiles/opt-best-dart-inference",
      "title": "opt_best_dart_inference",
      "source": "live",
      "kernel_id": "29413805"
    },
    {
      "ref": "mu10086/polyu-ada-project-g08",
      "title": "Polyu_ADA_Project_G08",
      "source": "live",
      "kernel_id": "28500129"
    },
    {
      "ref": "asalan/notebookeb6376945e",
      "title": "notebookeb6376945e",
      "source": "live",
      "kernel_id": "27996852"
    },
    {
      "ref": "troybernie/optiver-realized-eda-for-starts",
      "title": "Optiver Realized: EDA for starts",
      "source": "live",
      "kernel_id": "27492399"
    },
    {
      "ref": "zhicuicui/optiver",
      "title": "Optiver",
      "source": "live",
      "kernel_id": "27256340"
    },
    {
      "ref": "achang658/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "26791562"
    },
    {
      "ref": "rriceice/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "26525133"
    },
    {
      "ref": "phunter2023/fork-of-lgbm-baseline",
      "title": "Fork of lgbm baseline",
      "source": "live",
      "kernel_id": "26435164"
    },
    {
      "ref": "rriceice/code-template",
      "title": "Code Template",
      "source": "live",
      "kernel_id": "25832074"
    },
    {
      "ref": "chengskin/optiver-realized-volatility-prediction-15th",
      "title": "Optiver Realized Volatility Prediction 📊 15th",
      "source": "live",
      "kernel_id": "25803381"
    },
    {
      "ref": "skloveyyp/baseline-denoiseautoencoder-1dcnn-0e880e",
      "title": "[Baseline]DenoiseAutoEncoder+1dCNN 0e880e",
      "source": "live",
      "kernel_id": "25548895"
    },
    {
      "ref": "baraknetef/optilver-eda-regression",
      "title": "optilver_EDA_regression",
      "source": "live",
      "kernel_id": "24542743"
    },
    {
      "ref": "achang658/public-2nd-place-solution",
      "title": "public 2nd place solution",
      "source": "live",
      "kernel_id": "24432630"
    },
    {
      "ref": "sotaromaejima/simple-lgbm-with-various-features-japanese",
      "title": "Simple LGBM with various features【Japanese】",
      "source": "live",
      "kernel_id": "24046858"
    },
    {
      "ref": "stassl/private-set-filler-probing",
      "title": "Private set filler probing",
      "source": "live",
      "kernel_id": "23928305"
    },
    {
      "ref": "parikshitsharma2001/rnn-stock-attention",
      "title": "RNN + stock attention",
      "source": "live",
      "kernel_id": "23901241"
    },
    {
      "ref": "shigeria/optiver-lgbm-tabnet-nn",
      "title": "Optiver LGBM + tabnet + nn",
      "source": "live",
      "kernel_id": "23815632"
    },
    {
      "ref": "skloveyyp/notebookbe7ba0e4d8",
      "title": "notebookbe7ba0e4d8",
      "source": "live",
      "kernel_id": "23097555"
    },
    {
      "ref": "gmanyc/realized-volatility-decomposition",
      "title": "realized_volatility_decomposition",
      "source": "live",
      "kernel_id": "23052865"
    },
    {
      "ref": "slawekbiel/medal-chaser-plot",
      "title": "Medal chaser plot",
      "source": "live",
      "kernel_id": "22996079"
    },
    {
      "ref": "trushk/interactive-lb-dashboard",
      "title": "Interactive LB Dashboard",
      "source": "live",
      "kernel_id": "22708232"
    },
    {
      "ref": "muchabean/optiver-realized-eda-for-starter-english-version",
      "title": "Optiver Realized: EDA for starter(English version)",
      "source": "live",
      "kernel_id": "22639952"
    },
    {
      "ref": "minghaolu/fork-of-ensem-kfinal1",
      "title": "Fork of ensem_kfinal1",
      "source": "live",
      "kernel_id": "22399338"
    },
    {
      "ref": "bryanb/turn-your-time-series-into-images",
      "title": "Turn your Time Series into images",
      "source": "live",
      "kernel_id": "22301688"
    },
    {
      "ref": "nathpriyanka/vevesta-notebook",
      "title": "vevesta-notebook",
      "source": "live",
      "kernel_id": "22014444"
    },
    {
      "ref": "aerdem4/optiver-on-gpu",
      "title": "Optiver on GPU",
      "source": "live",
      "kernel_id": "21758445"
    },
    {
      "ref": "carlmcbrideellis/2nd-lb-update-scatterplots-with-and-without-noise",
      "title": "2nd LB update: Scatterplots with and without noise",
      "source": "live",
      "kernel_id": "21702398"
    },
    {
      "ref": "carlmcbrideellis/jane-streeet-the-first-two-shakeup-scatterplots",
      "title": "Jane Streeet: The first two shakeup scatterplots",
      "source": "live",
      "kernel_id": "21605498"
    },
    {
      "ref": "saisreelasyavanam/opt31689-31190",
      "title": "opt31689_31190",
      "source": "live",
      "kernel_id": "21586635"
    },
    {
      "ref": "stassl/rnn-stock-attention",
      "title": "RNN + stock attention",
      "source": "live",
      "kernel_id": "21397992"
    },
    {
      "ref": "aerdem4/optiver-on-cpu",
      "title": "Optiver on CPU",
      "source": "live",
      "kernel_id": "21392961"
    },
    {
      "ref": "kmldas/optiver-shakeup-viz",
      "title": "optiver shakeup viz",
      "source": "live",
      "kernel_id": "21276314"
    },
    {
      "ref": "carlmcbrideellis/optiver-interactive-shakeup-scatterplots",
      "title": "Optiver: Interactive shakeup scatterplots",
      "source": "live",
      "kernel_id": "21252979"
    },
    {
      "ref": "slawekbiel/optiver-public-lb-backup",
      "title": "Optiver Public LB backup",
      "source": "live",
      "kernel_id": "21251328"
    },
    {
      "ref": "martinlardiwinata/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "20998068"
    },
    {
      "ref": "titericz/rapids-xgboost",
      "title": "RAPIDS - XGBoost",
      "source": "live",
      "kernel_id": "20913166"
    },
    {
      "ref": "tangtunyu/10-fold-lgbm",
      "title": "10-fold lgbm",
      "source": "live",
      "kernel_id": "20876580"
    },
    {
      "ref": "fritzcremer/how-are-the-buckets-shifted-in-time",
      "title": "How are the buckets shifted in time",
      "source": "live",
      "kernel_id": "20864741"
    },
    {
      "ref": "parikshitsharma2001/2lgbm-2nn-6ea9ad",
      "title": "2LGBM + 2NN 6ea9ad",
      "source": "live",
      "kernel_id": "20853418"
    },
    {
      "ref": "nyanpn/1st-place-public-2nd-place-solution",
      "title": "1st place (public 2nd place) solution",
      "source": "live",
      "kernel_id": "20850833"
    },
    {
      "ref": "mwitkowski/optiver-lightgbm-ver-1-ec2cf6",
      "title": "Optiver LightGBM Ver_1 ec2cf6",
      "source": "live",
      "kernel_id": "20847785"
    },
    {
      "ref": "rrprabhu/trading-on-gpu-rapids-other-potential-concepts",
      "title": "Trading on GPU - RAPIDS & other potential concepts",
      "source": "live",
      "kernel_id": "20845020"
    },
    {
      "ref": "sunilmistri/last-day",
      "title": "last_day",
      "source": "live",
      "kernel_id": "20841794"
    },
    {
      "ref": "srinivastikkana/190031630-competition",
      "title": "190031630_Competition",
      "source": "live",
      "kernel_id": "20841768"
    },
    {
      "ref": "eliosgut/too-many-features",
      "title": "Too many features",
      "source": "live",
      "kernel_id": "20841609"
    },
    {
      "ref": "nidadavolusppriyanka/31190-31689-optiver",
      "title": "31190_31689_optiver",
      "source": "live",
      "kernel_id": "20838393"
    },
    {
      "ref": "chrisrichardmiles/opt-inf-ensemble-final-2-simple",
      "title": "opt_inf_ensemble_final_2_simple",
      "source": "live",
      "kernel_id": "20837737"
    },
    {
      "ref": "max2020/0928-trans-5-topn-2",
      "title": "0928 TRANS*5 TOPN=2",
      "source": "live",
      "kernel_id": "20837006"
    },
    {
      "ref": "skloveyyp/optiver-volatility-predictions-using-tabnet",
      "title": "Optiver Volatility Predictions Using TabNet",
      "source": "live",
      "kernel_id": "20835308"
    },
    {
      "ref": "xuhangcn/prepare-to-submit-feature",
      "title": "prepare_to_submit_feature",
      "source": "live",
      "kernel_id": "20831804"
    },
    {
      "ref": "chrisrichardmiles/opt-inf-ensemble-final-1",
      "title": "opt_inf_ensemble_final_1",
      "source": "live",
      "kernel_id": "20831053"
    },
    {
      "ref": "chrisrichardmiles/opt-train-dart-op-175-cons",
      "title": "opt_train_dart_op_175_cons",
      "source": "live",
      "kernel_id": "20830916"
    },
    {
      "ref": "chrisrichardmiles/opt-train-tabnet-183",
      "title": "opt_train_tabnet_183",
      "source": "live",
      "kernel_id": "20829731"
    },
    {
      "ref": "nagarjuna2997/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "20826481"
    },
    {
      "ref": "chrisrichardmiles/opt-train-tabnet-181",
      "title": "opt_train_tabnet_181",
      "source": "live",
      "kernel_id": "20824799"
    },
    {
      "ref": "eddiecher/prepare-1dcnn-origin",
      "title": "prepare_1dcnn_origin",
      "source": "live",
      "kernel_id": "20823518"
    },
    {
      "ref": "wuyanming/2lgbm-2nn-best-score",
      "title": "2LGBM + 2NN best score",
      "source": "live",
      "kernel_id": "20822630"
    },
    {
      "ref": "intjerlu/submit-optiver-volatility",
      "title": "submit Optiver Volatility",
      "source": "live",
      "kernel_id": "20822537"
    },
    {
      "ref": "intjerlu/rapids-gpu-accelerated-from-scratch-solution",
      "title": "RAPIDS - GPU accelerated from scratch solution",
      "source": "live",
      "kernel_id": "20821968"
    },
    {
      "ref": "chrisrichardmiles/opt-train-dart-op-175-fold-0",
      "title": "opt_train_dart_op_175_fold_0",
      "source": "live",
      "kernel_id": "20820166"
    },
    {
      "ref": "atsushiiwasaki/orvp-data-preprocessing",
      "title": "ORVP: Data Preprocessing",
      "source": "live",
      "kernel_id": "20818692"
    },
    {
      "ref": "ricopue/optiver-base-keras-cnn2d-final1",
      "title": "optiver-base-keras-CNN2d-Final1",
      "source": "live",
      "kernel_id": "20813929"
    },
    {
      "ref": "vijaykrishnalikhith/190030375",
      "title": "190030375",
      "source": "live",
      "kernel_id": "20812793"
    },
    {
      "ref": "dangtrung/optiver-volatility-prediction-full-pipeline-v-15",
      "title": "Optiver Volatility Prediction: Full Pipeline v.15",
      "source": "live",
      "kernel_id": "20812725"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-dae-1dcnn-train-pipeline",
      "title": "[ORVP] DAE-1DCNN | Train Pipeline",
      "source": "live",
      "kernel_id": "20811779"
    },
    {
      "ref": "sredstone/onserver-test",
      "title": "onServer_test",
      "source": "live",
      "kernel_id": "20811338"
    },
    {
      "ref": "cybilcybil/division-new-try-feature",
      "title": "division_new_try_feature",
      "source": "live",
      "kernel_id": "20810695"
    },
    {
      "ref": "muchabean/model-final",
      "title": "model-final",
      "source": "live",
      "kernel_id": "20808575"
    },
    {
      "ref": "cybilcybil/agg-new-try-feature",
      "title": "agg_new_try_feature",
      "source": "live",
      "kernel_id": "20808372"
    },
    {
      "ref": "hemanth9kumar9reddy/correct-way-of-sampling-for-cv",
      "title": "Correct way of sampling for CV",
      "source": "live",
      "kernel_id": "20807933"
    },
    {
      "ref": "ollibolli/lgbm-hyperparameter-search-with-genetic-algorithms",
      "title": "LGBM Hyperparameter Search with Genetic Algorithms",
      "source": "live",
      "kernel_id": "20807663"
    },
    {
      "ref": "hemanth9kumar9reddy/optiver-dataset-eda",
      "title": "Optiver dataset EDA",
      "source": "live",
      "kernel_id": "20805935"
    },
    {
      "ref": "nicstephens/final-submission",
      "title": "final_submission",
      "source": "live",
      "kernel_id": "20804284"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-nn-stock-embedding-train-pipeline",
      "title": "[ORVP] NN - Stock Embedding | Train Pipeline",
      "source": "live",
      "kernel_id": "20803988"
    },
    {
      "ref": "satoshimts/stratifiedgroupkflod-5-lgb-ensamble-dropout",
      "title": "StratifiedGroupKFlod +5 lgb(Ensamble) (dropout)",
      "source": "live",
      "kernel_id": "20802900"
    },
    {
      "ref": "jinyuanzhang0320/group-k-fold-nn-model-stock31",
      "title": "group_k_fold_nn_model_stock31",
      "source": "live",
      "kernel_id": "20801849"
    },
    {
      "ref": "jinyuanzhang0320/group-k-fold-lgb-model-stock31",
      "title": "group_k_fold_lgb_model_stock31",
      "source": "live",
      "kernel_id": "20801819"
    },
    {
      "ref": "jinyuanzhang0320/group-k-fold-tabnet-model-stock31",
      "title": "group_k_fold_tabnet_model_stock31",
      "source": "live",
      "kernel_id": "20801705"
    },
    {
      "ref": "jinglingzhou/optiver-v2-features-book-and-trade",
      "title": "Optiver V2 features book and trade",
      "source": "live",
      "kernel_id": "20799764"
    },
    {
      "ref": "voix97/anomalydetection-timeseriessplit-lgbm-nn",
      "title": "AnomalyDetection+TimeSeriesSplit+LGBM+NN",
      "source": "live",
      "kernel_id": "20798618"
    },
    {
      "ref": "clarkzhang0201/kmeans-ffnn-lightgbm",
      "title": "KMeans+FFNN+LightGBM",
      "source": "live",
      "kernel_id": "20795484"
    },
    {
      "ref": "kingakocol/master-ensemble-with-comments",
      "title": "Master Ensemble with comments",
      "source": "live",
      "kernel_id": "20794558"
    },
    {
      "ref": "danielhalliden/sep25-preprocessing",
      "title": "Sep25_Preprocessing",
      "source": "live",
      "kernel_id": "20793774"
    },
    {
      "ref": "isakev/opt-09-25-seeds3-time-id-kmeans-noaug-groupkfold",
      "title": "opt_09_25_seeds3_time_id_KMeans_NoAug_GroupKfold",
      "source": "live",
      "kernel_id": "20792454"
    },
    {
      "ref": "leolu1998/lgbm-tabnet-nn-no-leaks-stratifiedgroupkfold",
      "title": "LGBM+TabNet+NN| No leaks | StratifiedGroupKFold",
      "source": "live",
      "kernel_id": "20792373"
    },
    {
      "ref": "angelaccept/ensem-2lgbm-2nn-19729-stratified-group-kfd-w6-4",
      "title": "ensem 2lgbm 2nn-19729-stratified_group_kfd-w6-4",
      "source": "live",
      "kernel_id": "20790609"
    },
    {
      "ref": "angelaccept/ensem-2lgbm-2nn-19729-stratified-group-kfd",
      "title": "ensem 2lgbm 2nn-19729-stratified_group_kfd",
      "source": "live",
      "kernel_id": "20790493"
    },
    {
      "ref": "kumudsingh9/optiver-volatility-prediction-pyt",
      "title": "Optiver Volatility Prediction PyT",
      "source": "live",
      "kernel_id": "20788605"
    },
    {
      "ref": "nidadavolusppriyanka/notebook41ae071cd2",
      "title": "notebook41ae071cd2",
      "source": "live",
      "kernel_id": "20783350"
    },
    {
      "ref": "nicstephens/validation-notebook",
      "title": "validation_notebook",
      "source": "live",
      "kernel_id": "20781727"
    },
    {
      "ref": "jinyuanzhang0320/group-k-fold-lgb-model",
      "title": "group_k_fold_lgb_model",
      "source": "live",
      "kernel_id": "20781164"
    },
    {
      "ref": "jinyuanzhang0320/group-k-fold-tabnet-model",
      "title": "group_k_fold_tabnet_model",
      "source": "live",
      "kernel_id": "20781103"
    },
    {
      "ref": "brentabove/fork-of-lgbm-baseline19729-test-predictions-nn",
      "title": "Fork of lgbm baseline19729 - test_predictions_nn",
      "source": "live",
      "kernel_id": "20780880"
    },
    {
      "ref": "knrindhuknrindhu/190030718-optiver-realized-volatility-prediction",
      "title": "190030718 Optiver Realized Volatility Prediction ",
      "source": "live",
      "kernel_id": "20779950"
    },
    {
      "ref": "chrisrichardmiles/opt-lgb-stacking-op-162",
      "title": "opt_lgb_stacking_op_162",
      "source": "live",
      "kernel_id": "20779751"
    },
    {
      "ref": "chrisrichardmiles/opt-train-dart-stacking-op-163",
      "title": "opt_train_dart_stacking_op_163",
      "source": "live",
      "kernel_id": "20779750"
    },
    {
      "ref": "onlyrobert/lgbm2-2nn-tabnet",
      "title": "lgbm2-2NN-TABNET",
      "source": "live",
      "kernel_id": "20779546"
    },
    {
      "ref": "brentabove/lgb1-55-45-lgb2-0-45-0-55-nn-55-0-45",
      "title": "【lgb1*.55+.45*lgb2】*0.45 + 0.55*【nn.55+0.45",
      "source": "live",
      "kernel_id": "20779368"
    },
    {
      "ref": "chrisrichardmiles/opt-train-dart-op-157-cons",
      "title": "opt_train_dart_op_157_cons",
      "source": "live",
      "kernel_id": "20779052"
    },
    {
      "ref": "heirophany/lgbm-baseline-no-leaks-stratifiedgroupkfold",
      "title": "LGBM Baseline | No leaks | StratifiedGroupKFold",
      "source": "live",
      "kernel_id": "20775629"
    },
    {
      "ref": "chrisrichardmiles/opt-train-tabnet-150",
      "title": "opt_train_tabnet_150",
      "source": "live",
      "kernel_id": "20768460"
    },
    {
      "ref": "htetaung04/optiver-in-r",
      "title": "Optiver in R",
      "source": "live",
      "kernel_id": "20765941"
    },
    {
      "ref": "parikshitsharma2001/2lgbm-2nn",
      "title": "2LGBM + 2NN",
      "source": "live",
      "kernel_id": "20762115"
    },
    {
      "ref": "angelaccept/lgbm-baseline19729-test-predictions-nn",
      "title": "lgbm baseline19729-test_predictions_nn",
      "source": "live",
      "kernel_id": "20761691"
    },
    {
      "ref": "brentabove/lgb1-0-6-0-4-lgb2-0-55-0-45-nn0-6-0-4nn",
      "title": "【lgb1*0.6+0.4*lgb2】*0.55 + 0.45*【nn0.6+0.4nn】",
      "source": "live",
      "kernel_id": "20758995"
    },
    {
      "ref": "brentabove/lgb1-0-6-0-4-lgb2-0-6-0-4-nn0-6-0-4nn1",
      "title": "【lgb1*0.6+0.4*lgb2】*0.6 + 0.4*【nn0.6+0.4nn1】",
      "source": "live",
      "kernel_id": "20758875"
    },
    {
      "ref": "soumenksarker/optiver-volatility-4",
      "title": "  Optiver Volatility-4",
      "source": "live",
      "kernel_id": "20758623"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-xgb-inference",
      "title": "[ORVP] XGB | Inference",
      "source": "live",
      "kernel_id": "20757984"
    },
    {
      "ref": "laberthier/nn-runner",
      "title": "NN Runner",
      "source": "live",
      "kernel_id": "20753772"
    },
    {
      "ref": "einchin/opt-vol-pred-xgboost-lgbm-catboost",
      "title": "Opt_Vol_Pred (XGBOOST_LGBM_CATBOOST)",
      "source": "live",
      "kernel_id": "20753602"
    },
    {
      "ref": "chrisrichardmiles/opt-train-tabnet-147",
      "title": "opt_train_tabnet_147",
      "source": "live",
      "kernel_id": "20753246"
    },
    {
      "ref": "jacobyjaeger/15th-place",
      "title": "15th  Place",
      "source": "live",
      "kernel_id": "20752564"
    },
    {
      "ref": "leolu1998/final-stock-optiver-nn-lgbm-inference",
      "title": "Final Stock optiver-NN + LGBM Inference",
      "source": "live",
      "kernel_id": "20752482"
    },
    {
      "ref": "chrisrichardmiles/opt-train-dart-op-146",
      "title": "opt_train_dart_op_146",
      "source": "live",
      "kernel_id": "20749842"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-lgbm-infer",
      "title": "[ORVP] lgbm Infer",
      "source": "live",
      "kernel_id": "20747444"
    },
    {
      "ref": "kumudsingh9/optiver-volatility-bettered",
      "title": "Optiver-Volatility Bettered  ",
      "source": "live",
      "kernel_id": "20746708"
    },
    {
      "ref": "jahnavisomala/190031529-orvp",
      "title": "190031529_ORVP",
      "source": "live",
      "kernel_id": "20744851"
    },
    {
      "ref": "slawekbiel/ensamble",
      "title": "Ensamble",
      "source": "live",
      "kernel_id": "20744150"
    },
    {
      "ref": "htetaung04/optiver-submission",
      "title": "optiver-submission",
      "source": "live",
      "kernel_id": "20739832"
    },
    {
      "ref": "ktaichi/feature-engineering-lgbm",
      "title": "Feature Engineering + LGBM",
      "source": "live",
      "kernel_id": "20739463"
    },
    {
      "ref": "boddusairamakrishna/190030176-optiver-realized-volatility-prediction",
      "title": "190030176_Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "20737294"
    },
    {
      "ref": "saisreelasyavanam/31689-31190-klu",
      "title": "31689_31190_klu",
      "source": "live",
      "kernel_id": "20737277"
    },
    {
      "ref": "nidadavolusppriyanka/1689-1190-klef",
      "title": "1689_1190_klef",
      "source": "live",
      "kernel_id": "20736979"
    },
    {
      "ref": "nivasbodapati/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "20736976"
    },
    {
      "ref": "rajeshchowdary6666/190031661-optiver-realized-prediction",
      "title": "190031661 OPTIVER REALIZED PREDICTION",
      "source": "live",
      "kernel_id": "20736509"
    },
    {
      "ref": "vuxxxx/feature-selection-rfecv",
      "title": "feature selection : RFECV",
      "source": "live",
      "kernel_id": "20735940"
    },
    {
      "ref": "jordimoragas/stacking-lgbm-catb-2xnn-noleak",
      "title": "Stacking LGBM CATB 2xNN noLeak",
      "source": "live",
      "kernel_id": "20735739"
    },
    {
      "ref": "sinatavakolibanizi/2lgbm-2nn",
      "title": "2LGBM + 2NN",
      "source": "live",
      "kernel_id": "20734153"
    },
    {
      "ref": "brentabove/lgbm-baseline19729-predictions-lgb2",
      "title": "lgbm baseline19729 - predictions_lgb2",
      "source": "live",
      "kernel_id": "20730003"
    },
    {
      "ref": "brentabove/lgbm-baseline19729-predictions-lgb1",
      "title": "lgbm baseline19729 - predictions_lgb1",
      "source": "live",
      "kernel_id": "20729973"
    },
    {
      "ref": "vijaykrishnalikhith/dvt-skil",
      "title": "DVT  skil",
      "source": "live",
      "kernel_id": "20729914"
    },
    {
      "ref": "brentabove/lgbm-baseline19729-test-predictions-nn1",
      "title": "lgbm baseline19729 - test_predictions_nn1",
      "source": "live",
      "kernel_id": "20729451"
    },
    {
      "ref": "brentabove/lgbm-baseline19729-test-predictions-nn",
      "title": "lgbm baseline19729 - test_predictions_nn",
      "source": "live",
      "kernel_id": "20729435"
    },
    {
      "ref": "nidadavolusppriyanka/optiver-volatility-4",
      "title": "  Optiver Volatility-4",
      "source": "live",
      "kernel_id": "20729037"
    },
    {
      "ref": "syerwin/optiver-2lgbm-2nn",
      "title": "Optiver 2LGBM + 2NN",
      "source": "live",
      "kernel_id": "20725714"
    },
    {
      "ref": "calibrator/final-ensemble-501-public",
      "title": "Final-Ensemble-501+public",
      "source": "live",
      "kernel_id": "20724271"
    },
    {
      "ref": "cldavies/volatility-autoencoder-embedding-cnn",
      "title": "Volatility: Autoencoder + Embedding + CNN",
      "source": "live",
      "kernel_id": "20724189"
    },
    {
      "ref": "bobber/gpu-rapids-xgb-lgb-cat-nnbase-autoencoder",
      "title": "GPU-RAPIDS-xgb-lgb-cat-nnbase-Autoencoder",
      "source": "live",
      "kernel_id": "20716219"
    },
    {
      "ref": "jordiarellano/data-visualizations",
      "title": "data visualizations",
      "source": "live",
      "kernel_id": "20715626"
    },
    {
      "ref": "shayanabbasi1995/lgbm-baseline-the-features-i-ended-up-with",
      "title": "lgbm baseline, the features I ended up with",
      "source": "live",
      "kernel_id": "20715224"
    },
    {
      "ref": "tegetegeracing/2xlgbm-optuna-tuning-fnn-ensemble",
      "title": "2xLGBM(optuna tuning) + FNN ensemble",
      "source": "live",
      "kernel_id": "20689535"
    },
    {
      "ref": "chittuluribhavyasri/190030335",
      "title": "190030335",
      "source": "live",
      "kernel_id": "20689111"
    },
    {
      "ref": "realtimshady/2lgbm-2nn",
      "title": "2LGBM + 2NN",
      "source": "live",
      "kernel_id": "20683787"
    },
    {
      "ref": "nrcjea001/lgbm-baseline-no-leaks-stratifiedgroupkfold",
      "title": "LGBM Baseline | No leaks | StratifiedGroupKFold",
      "source": "live",
      "kernel_id": "20678730"
    },
    {
      "ref": "bobber/boruta-shap-2xlgbm-fnn-ensemble-pre-gpu-ae",
      "title": "boruta-shap+2xLGBM + FNN ensemble-pre-gpu-AE",
      "source": "live",
      "kernel_id": "20676225"
    },
    {
      "ref": "purvansharora/optiver",
      "title": "Optiver",
      "source": "live",
      "kernel_id": "20673212"
    },
    {
      "ref": "kukuchiku/notebook2bb58a3356",
      "title": "notebook2bb58a3356",
      "source": "live",
      "kernel_id": "20671796"
    },
    {
      "ref": "cheneyx/tabnet",
      "title": "tabnet",
      "source": "live",
      "kernel_id": "20670973"
    },
    {
      "ref": "narendra/optiver-transformer-pool-head-submission",
      "title": "Optiver-Transformer pool head-submission",
      "source": "live",
      "kernel_id": "20665704"
    },
    {
      "ref": "titericz/rapids-gpu-accelerated-from-scratch-solution",
      "title": "RAPIDS - GPU accelerated from scratch solution",
      "source": "live",
      "kernel_id": "20665263"
    },
    {
      "ref": "kumudsingh9/optiver-realized-progress",
      "title": "Optiver-Realized Progress",
      "source": "live",
      "kernel_id": "20663301"
    },
    {
      "ref": "xuhangcn/new-try-feature",
      "title": "new_try_feature",
      "source": "live",
      "kernel_id": "20656341"
    },
    {
      "ref": "yaniv256/samesame",
      "title": "samesame",
      "source": "live",
      "kernel_id": "20651393"
    },
    {
      "ref": "regipublic/half-time-submitting-to-leaderboard-with-a-trick",
      "title": "Half time submitting to Leaderboard with a trick:)",
      "source": "live",
      "kernel_id": "20650870"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-lgbm-train-pipeline",
      "title": "[ORVP] LGBM | Train Pipeline",
      "source": "live",
      "kernel_id": "20642991"
    },
    {
      "ref": "dmtrrr/optiver-combined-lstm-and-cnn-approach-0-2436",
      "title": "Optiver. Combined LSTM and CNN approach (0.2436)",
      "source": "live",
      "kernel_id": "20641817"
    },
    {
      "ref": "adityasharma01/optiver-volatility-3",
      "title": "  Optiver Volatility-3",
      "source": "live",
      "kernel_id": "20636299"
    },
    {
      "ref": "gunesevitan/optiver-realized-volatility-prediction-mlp-mixer",
      "title": "Optiver Realized Volatility Prediction - MLP Mixer",
      "source": "live",
      "kernel_id": "20634588"
    },
    {
      "ref": "johnakwei/second-test",
      "title": "Second Test",
      "source": "live",
      "kernel_id": "20626174"
    },
    {
      "ref": "lukaslegerer/linear-model-with-simple-features",
      "title": "Linear Model with Simple Features",
      "source": "live",
      "kernel_id": "20624151"
    },
    {
      "ref": "vijaykrishnalikhith/notebookada6397c94",
      "title": "notebookada6397c94",
      "source": "live",
      "kernel_id": "20620243"
    },
    {
      "ref": "tiger1026/lgbm-baseline-with-more-feature-engineering",
      "title": "LGBM Baseline with more Feature Engineering",
      "source": "live",
      "kernel_id": "20613781"
    },
    {
      "ref": "victorsullivan/orvpteam",
      "title": "ORVPTeam",
      "source": "live",
      "kernel_id": "20613336"
    },
    {
      "ref": "voidfly/fork-of-lgbm-baseline",
      "title": "Fork of lgbm baseline",
      "source": "live",
      "kernel_id": "20612398"
    },
    {
      "ref": "jinglingzhou/optiver-volatility-predictions-using-tabnet",
      "title": "Optiver Volatility Predictions Using TabNet",
      "source": "live",
      "kernel_id": "20611349"
    },
    {
      "ref": "hghghghgh1234/fnn-tabnet-lgbm-ensemble",
      "title": "FNN + tabnet + lgbm ensemble",
      "source": "live",
      "kernel_id": "20610928"
    },
    {
      "ref": "kumudsingh9/optiver-improved-volatility-prediction-for-trading",
      "title": "Optiver Improved Volatility Prediction For Trading",
      "source": "live",
      "kernel_id": "20608268"
    },
    {
      "ref": "satoshimts/kfold-no-leak-no-use-groupkfold",
      "title": "KFold no leak (no use groupKFold)",
      "source": "live",
      "kernel_id": "20602993"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-data-creation-pipeline-cv-folds",
      "title": "[ORVP] Data Creation Pipeline | CV-Folds",
      "source": "live",
      "kernel_id": "20602638"
    },
    {
      "ref": "gabellinifrancesco/tabnet-boosting-final",
      "title": "TabNet_Boosting_Final",
      "source": "live",
      "kernel_id": "20596133"
    },
    {
      "ref": "satoshimts/fork-of-tau-vs-no-tau-vs-knn-tau-english",
      "title": "Fork of tau vs no_tau vs KNN_tau (English)",
      "source": "live",
      "kernel_id": "20588639"
    },
    {
      "ref": "pedroantoniak/tune-nn-with-keras-tuner-lgbm-ensemble",
      "title": "tune NN with keras_tuner, LGBM ensemble",
      "source": "live",
      "kernel_id": "20573429"
    },
    {
      "ref": "satoshimts/tau-vs-no-tau-vs-knn-tau",
      "title": "tau vs no_tau vs KNN_tau",
      "source": "live",
      "kernel_id": "20573292"
    },
    {
      "ref": "tatsuyayamamoto/optiver-lightgbm-nn-ensemble",
      "title": "Optiver LightGBM NN Ensemble",
      "source": "live",
      "kernel_id": "20568257"
    },
    {
      "ref": "satoshimts/kfold-vs-groupkfold",
      "title": "Kfold vs GroupKfold ",
      "source": "live",
      "kernel_id": "20567420"
    },
    {
      "ref": "rohandaniel/optiver-realized-volatility-prediction-rd",
      "title": "optiver_realized_volatility_prediction_rd",
      "source": "live",
      "kernel_id": "20551050"
    },
    {
      "ref": "abdullahahsann/optiver-v02",
      "title": "Optiver_v02",
      "source": "live",
      "kernel_id": "20550076"
    },
    {
      "ref": "eddiecher/pre-processed-data",
      "title": "pre-processed data",
      "source": "live",
      "kernel_id": "20547201"
    },
    {
      "ref": "res1235/preprocessing-rapids-finish-in-3-mins",
      "title": "[Preprocessing] RAPIDS (Finish in 3 mins!)",
      "source": "live",
      "kernel_id": "20544268"
    },
    {
      "ref": "miyashitaryuma/lgbm-baseline",
      "title": "lgbm baselineを日本語で解釈",
      "source": "live",
      "kernel_id": "20540121"
    },
    {
      "ref": "narendra/optiver-trade-data-analysis",
      "title": "Optiver-trade data analysis",
      "source": "live",
      "kernel_id": "20526935"
    },
    {
      "ref": "ravinderkotwal/optiver-feature-engineering",
      "title": "optiver feature engineering",
      "source": "live",
      "kernel_id": "20520729"
    },
    {
      "ref": "yingdonghao/lgbm-ffnn-data",
      "title": "LGBM_FFNN_data",
      "source": "live",
      "kernel_id": "20518523"
    },
    {
      "ref": "narendra/optiver-transformer-with-pool-head-no-ffil",
      "title": "Optiver-Transformer with pool head-no ffil",
      "source": "live",
      "kernel_id": "20510214"
    },
    {
      "ref": "johngang/lgb-xgb-cb-new-feature",
      "title": "LGB+XGB+CB New FeaTure",
      "source": "live",
      "kernel_id": "20509942"
    },
    {
      "ref": "ravinderkotwal/optiver-volatility-prediction-eda",
      "title": "Optiver Volatility Prediction EDA ",
      "source": "live",
      "kernel_id": "20496387"
    },
    {
      "ref": "alexandredurand/clustering-stock-id-time-id",
      "title": "Clustering stock id/ time id",
      "source": "live",
      "kernel_id": "20495119"
    },
    {
      "ref": "justolooking/passs4",
      "title": "passs4",
      "source": "live",
      "kernel_id": "20493066"
    },
    {
      "ref": "soumenksarker/stacking-lgbm-ang-catboost",
      "title": "stacking_lgbm  ang catboost",
      "source": "live",
      "kernel_id": "20491580"
    },
    {
      "ref": "yaniv256/notebookc06b833e0f",
      "title": "notebookc06b833e0f",
      "source": "live",
      "kernel_id": "20491118"
    },
    {
      "ref": "hongyishao/rf-version2",
      "title": "RF_version2",
      "source": "live",
      "kernel_id": "20489666"
    },
    {
      "ref": "lucasmorin/deanonimising-time-from-event",
      "title": "Deanonimising time from event",
      "source": "live",
      "kernel_id": "20479695"
    },
    {
      "ref": "victorsullivan/orvp1",
      "title": "ORVP1",
      "source": "live",
      "kernel_id": "20476621"
    },
    {
      "ref": "rameshsimhadri/optiver-volatility-4",
      "title": "  Optiver Volatility-4",
      "source": "live",
      "kernel_id": "20475043"
    },
    {
      "ref": "ericpeterson/lgb-12-sept",
      "title": "lgb 12 sept",
      "source": "live",
      "kernel_id": "20461822"
    },
    {
      "ref": "yhx003/baseline-denoiseautoencoder-1dcnn",
      "title": "[Baseline]DenoiseAutoEncoder+1dCNN",
      "source": "live",
      "kernel_id": "20455843"
    },
    {
      "ref": "mrutyunjaybiswal/orvp-more-features-boosting-lgbm-pipeline",
      "title": "[ORVP] More features | Boosting | lgbm Pipeline",
      "source": "live",
      "kernel_id": "20448589"
    },
    {
      "ref": "frizzledynasty/optiver-fe-groupkfold",
      "title": "optiver-fe-groupkfold",
      "source": "live",
      "kernel_id": "20448045"
    },
    {
      "ref": "jogepari/feel-the-data-interactive-plotly-charts",
      "title": "Feel the data: interactive plotly charts",
      "source": "live",
      "kernel_id": "20446427"
    },
    {
      "ref": "avyachen/2xlgbm-fnn-ensemble-a6e9e0",
      "title": "2xLGBM + FNN ensemble a6e9e0",
      "source": "live",
      "kernel_id": "20444039"
    },
    {
      "ref": "albertocabezas/bayesian-optiver",
      "title": "Bayesian Optiver",
      "source": "live",
      "kernel_id": "20442951"
    },
    {
      "ref": "aurorazxx/optiver-lightgbm",
      "title": "Optiver LightGBM",
      "source": "live",
      "kernel_id": "20442037"
    },
    {
      "ref": "ravinderkotwal/optiver-dataset-eda",
      "title": "Optiver dataset EDA",
      "source": "live",
      "kernel_id": "20440246"
    },
    {
      "ref": "ptrikp/carry-order-book-info-upto-where-trade-occurs",
      "title": "Carry  Order-book info upto where trade occurs",
      "source": "live",
      "kernel_id": "20438007"
    },
    {
      "ref": "aerdem4/optiver-gpu-accelerated-lofo-feature-importance",
      "title": "Optiver GPU Accelerated LOFO Feature Importance",
      "source": "live",
      "kernel_id": "20437447"
    },
    {
      "ref": "konstantinboyko/optiver-2xlgbm-fnn-ensemble-perfomance",
      "title": "Optiver 2xLGBM + FNN ensemble Perfomance",
      "source": "live",
      "kernel_id": "20437255"
    },
    {
      "ref": "gorynych200/correct-way-of-sampling-for-cv",
      "title": "Correct way of sampling for CV",
      "source": "live",
      "kernel_id": "20435579"
    },
    {
      "ref": "takara710/submission-starter",
      "title": "Submission starter",
      "source": "live",
      "kernel_id": "20435111"
    },
    {
      "ref": "rayanaay/volatility-indicators-with-lgbm",
      "title": " 💰Volatility Indicators with LGBM  ",
      "source": "live",
      "kernel_id": "20429695"
    },
    {
      "ref": "davidgauthier/linearmodel-var",
      "title": "LinearModel VAR_",
      "source": "live",
      "kernel_id": "20422126"
    },
    {
      "ref": "nyanpn/adversarial-validation-in-optiver",
      "title": "adversarial validation in optiver",
      "source": "live",
      "kernel_id": "20419078"
    },
    {
      "ref": "satoshimts/optiver-volatility-introduction",
      "title": "Optiver Volatility Introduction(コンペの導入 事前学習)日本語で解説",
      "source": "live",
      "kernel_id": "20414673"
    },
    {
      "ref": "raphael1123/optiver-single-lgbm",
      "title": "Optiver_Single_LGBM",
      "source": "live",
      "kernel_id": "20406830"
    },
    {
      "ref": "johnyan1019/how-different-kernels-can-be-organized-nicely",
      "title": "How different kernels can be organized nicely",
      "source": "live",
      "kernel_id": "20404044"
    },
    {
      "ref": "antoinebugeia/p8-optiver-volatility-prediction",
      "title": "P8_Optiver_volatility_prediction",
      "source": "live",
      "kernel_id": "20389383"
    },
    {
      "ref": "takemi/umap-hdbscan-stock-id-0",
      "title": "UMAP & HDBSCAN (stock_id=0)",
      "source": "live",
      "kernel_id": "20381261"
    },
    {
      "ref": "cldavies/single-value-baseline",
      "title": "single-value-baseline",
      "source": "live",
      "kernel_id": "20377092"
    },
    {
      "ref": "tangtunyu/tabnet-nn-lgbm-load-ensemble",
      "title": "tabnet nn lgbm load ensemble",
      "source": "live",
      "kernel_id": "20374681"
    },
    {
      "ref": "jpmary/correlationontest",
      "title": "CorrelationOnTest",
      "source": "live",
      "kernel_id": "20369505"
    },
    {
      "ref": "akshayr009/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "20364424"
    },
    {
      "ref": "dlaststark/orvp-why-so-serious",
      "title": "ORVP - Why so serious",
      "source": "live",
      "kernel_id": "20361910"
    },
    {
      "ref": "millerrfu/pickle",
      "title": "pickle",
      "source": "live",
      "kernel_id": "20360740"
    },
    {
      "ref": "takemi/t-sne-hdbscan-stock-id-0",
      "title": "t-SNE & HDBSCAN (stock_id=0)",
      "source": "live",
      "kernel_id": "20356866"
    },
    {
      "ref": "josemauricioneuro/stack-lgbm-for-cluster-s-stockid",
      "title": "Stack LGBM for Cluster's stockID",
      "source": "live",
      "kernel_id": "20356749"
    },
    {
      "ref": "aryaaryan/optiver-2lstm-attention-is-incoming",
      "title": "Optiver 2LSTM+Attention is incoming",
      "source": "live",
      "kernel_id": "20350656"
    },
    {
      "ref": "aryaaryan/hit-and-trial-2",
      "title": "HIT and Trial 2",
      "source": "live",
      "kernel_id": "20347150"
    },
    {
      "ref": "aryaaryan/ohlc-charts-candlestick-charts",
      "title": "OHLC Charts / Candlestick Charts ",
      "source": "live",
      "kernel_id": "20347007"
    },
    {
      "ref": "dnging/linear-regression-3",
      "title": "Linear Regression #3",
      "source": "live",
      "kernel_id": "20344242"
    },
    {
      "ref": "jaiminpandya8/visualize-log-return-for-any-stock-id-time-id",
      "title": "Visualize log return for any stock_id & time_id",
      "source": "live",
      "kernel_id": "20343056"
    },
    {
      "ref": "wonjunchoinada/notebook73c31f4859",
      "title": "notebook73c31f4859",
      "source": "live",
      "kernel_id": "20337843"
    },
    {
      "ref": "abaojiang/ohlcv-and-technical-indicators",
      "title": "OHLCV and Technical Indicators",
      "source": "live",
      "kernel_id": "20335879"
    },
    {
      "ref": "fushigen/optiver-1dcnn-baseline",
      "title": "optiver-1DCNN-Baseline",
      "source": "live",
      "kernel_id": "20335641"
    },
    {
      "ref": "xpe5566/gold-plan",
      "title": "gold plan",
      "source": "live",
      "kernel_id": "20334087"
    },
    {
      "ref": "mtinti/model-a1",
      "title": "model_a1",
      "source": "live",
      "kernel_id": "20327057"
    },
    {
      "ref": "narendra/optiver-attention-basic-feature-submission",
      "title": "Optiver_Attention_basic feature-Submission",
      "source": "live",
      "kernel_id": "20325550"
    },
    {
      "ref": "miyashitaryuma/groupkfold-stock-id",
      "title": "GroupKFold stock_id編",
      "source": "live",
      "kernel_id": "20318208"
    },
    {
      "ref": "vv0x0x/optiver-2lstm-attention-is-incoming",
      "title": "Optiver 2LSTM+Attention is incoming",
      "source": "live",
      "kernel_id": "20317472"
    },
    {
      "ref": "pavfedotov/3xlgbm-timeseriessplit",
      "title": "3xLGBM + TimeSeriesSplit",
      "source": "live",
      "kernel_id": "20311183"
    },
    {
      "ref": "takemi/ohlc-charts-candlestick-charts",
      "title": "OHLC Charts / Candlestick Charts ",
      "source": "live",
      "kernel_id": "20305467"
    },
    {
      "ref": "ymatioun/optiver-sub",
      "title": "optiver_sub",
      "source": "live",
      "kernel_id": "20304350"
    },
    {
      "ref": "vuko91/optiver-public-notebook",
      "title": "Optiver - Public notebook",
      "source": "live",
      "kernel_id": "20301881"
    },
    {
      "ref": "something4kag/optiver-hdbscan",
      "title": "Optiver HDBSCAN ",
      "source": "live",
      "kernel_id": "20301451"
    },
    {
      "ref": "oldwine357/catboost-lgbm-x-4-kmeans-hyp-params-tuning",
      "title": "CatBoost| LGBM x 4 | KMeans |Hyp.params Tuning",
      "source": "live",
      "kernel_id": "20299799"
    },
    {
      "ref": "k589k589/lightgbm-eda-mandarin",
      "title": "LightGBM_EDA_Mandarin_繁中",
      "source": "live",
      "kernel_id": "20296878"
    },
    {
      "ref": "lucasmorin/feature-engineering-3-rv-aggregation",
      "title": "Feature Engineering 3: RV aggregation",
      "source": "live",
      "kernel_id": "20293331"
    },
    {
      "ref": "mohitsahal/2xlgbm-fnn-ensemble",
      "title": "2xLGBM + FNN ensemble",
      "source": "live",
      "kernel_id": "20292233"
    },
    {
      "ref": "fushigen/optim-data-create",
      "title": "optim_data_create",
      "source": "live",
      "kernel_id": "20282180"
    },
    {
      "ref": "kiitosu/optiver-lofo-importance",
      "title": "optiver LOFO importance",
      "source": "live",
      "kernel_id": "20281681"
    },
    {
      "ref": "kiitosu/train-to-pickle",
      "title": "train to pickle",
      "source": "live",
      "kernel_id": "20280829"
    },
    {
      "ref": "ellifa/catboost-incremental-learning-hyperopt",
      "title": "Catboost, incremental learning, hyperopt",
      "source": "live",
      "kernel_id": "20277781"
    },
    {
      "ref": "lhagiimn/optiver-final-inference-v3",
      "title": "Optiver final inference v3",
      "source": "live",
      "kernel_id": "20275411"
    },
    {
      "ref": "fushigen/comparision-lgbm",
      "title": "comparision_LGBM",
      "source": "live",
      "kernel_id": "20274182"
    },
    {
      "ref": "mdunaiski/sample-sub",
      "title": "sample sub",
      "source": "live",
      "kernel_id": "20270281"
    },
    {
      "ref": "yazanmajzob/predictions-for-financial-markets",
      "title": "predictions for financial markets ",
      "source": "live",
      "kernel_id": "20262775"
    },
    {
      "ref": "laoliulaoliu/volatility-predict2",
      "title": "volatility_predict2",
      "source": "live",
      "kernel_id": "20258402"
    },
    {
      "ref": "endremoen/feature-engineering-optimal-clustering-analysis",
      "title": "Feature Engineering - Optimal Clustering&analysis",
      "source": "live",
      "kernel_id": "20256795"
    },
    {
      "ref": "austinzhao/model-tuning-lgbm-baseline",
      "title": "[Model Tuning] LGBM Baseline",
      "source": "live",
      "kernel_id": "20248849"
    },
    {
      "ref": "lucasmorin/feature-engineering-2-aggregation-functions",
      "title": "Feature Engineering 2: Aggregation Functions",
      "source": "live",
      "kernel_id": "20246942"
    },
    {
      "ref": "tomforbes/keras-cnn-baseline-with-stock-embedding",
      "title": "Keras CNN Baseline with stock embedding",
      "source": "live",
      "kernel_id": "20244931"
    },
    {
      "ref": "medali1992/xgboost-parameter-tuning",
      "title": "xgboost parameter tuning",
      "source": "live",
      "kernel_id": "20238652"
    },
    {
      "ref": "narendra/optiver-attention-multitask-submission",
      "title": "Optiver_Attention_multitask-Submission",
      "source": "live",
      "kernel_id": "20234395"
    },
    {
      "ref": "kiitosu/baseline-simple-flow-with-lightgbm-add-lofoimp",
      "title": "Baseline : Simple flow with LightGBM add LOFOimp",
      "source": "live",
      "kernel_id": "20233422"
    },
    {
      "ref": "sinatavakolibanizi/lgbm-ffnn",
      "title": "LGBM & FFNN",
      "source": "live",
      "kernel_id": "20228758"
    },
    {
      "ref": "shivansh002/hit-and-trial-2",
      "title": "HIT and Trial 2",
      "source": "live",
      "kernel_id": "20226788"
    },
    {
      "ref": "timetoshow/tabnet-dataset",
      "title": "TabNet dataset",
      "source": "live",
      "kernel_id": "20224620"
    },
    {
      "ref": "toxicmaze/optiver-lgbm-ffnn",
      "title": "[Optiver] LGBM & FFNN",
      "source": "live",
      "kernel_id": "20224583"
    },
    {
      "ref": "andrifnatius/volatility-prediction-feature-eng-linear-reg",
      "title": "volatility prediction (feature eng. + linear reg.)",
      "source": "live",
      "kernel_id": "20213140"
    },
    {
      "ref": "narendra/optiver-attention-multitask",
      "title": "Optiver_Attention_multitask",
      "source": "live",
      "kernel_id": "20199752"
    },
    {
      "ref": "yingdonghao/lgbm-ffnn-trial",
      "title": "LGBM & FFNN trial",
      "source": "live",
      "kernel_id": "20196721"
    },
    {
      "ref": "taehyunahn/first-submission",
      "title": "first submission",
      "source": "live",
      "kernel_id": "20196289"
    },
    {
      "ref": "lucasmorin/feature-engineering-1-base-features",
      "title": "Feature Engineering 1: Base Features",
      "source": "live",
      "kernel_id": "20193968"
    },
    {
      "ref": "des137/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "20193349"
    },
    {
      "ref": "vv0x0x/optiver-pca-2lstm",
      "title": "Optiver PCA + 2LSTM",
      "source": "live",
      "kernel_id": "20184377"
    },
    {
      "ref": "monolith0456/2xlgbm-fnn-ensemble",
      "title": "2xLGBM + FNN ensemble",
      "source": "live",
      "kernel_id": "20177484"
    },
    {
      "ref": "timetoshow/lstm-model",
      "title": "lstm model",
      "source": "live",
      "kernel_id": "20170616"
    },
    {
      "ref": "timetoshow/0-19741features",
      "title": "0.19741Features",
      "source": "live",
      "kernel_id": "20169617"
    },
    {
      "ref": "towhidultonmoy/updated-code",
      "title": "Updated code ",
      "source": "live",
      "kernel_id": "20164328"
    },
    {
      "ref": "calibrator/numba-functions",
      "title": "numba_functions",
      "source": "live",
      "kernel_id": "20163379"
    },
    {
      "ref": "shivansh002/your-friendly-neighbour-lightgbm",
      "title": "✨ Your Friendly Neighbour LightGBM ✨",
      "source": "live",
      "kernel_id": "20154578"
    },
    {
      "ref": "verracodeguacas/rapids-fast-ica",
      "title": "RAPIDS + Fast ICA",
      "source": "live",
      "kernel_id": "20147253"
    },
    {
      "ref": "tatudoug/datasetcreation",
      "title": "DatasetCreation",
      "source": "live",
      "kernel_id": "20136837"
    },
    {
      "ref": "lucasmorin/volatility-maximum-likelihood-estimation",
      "title": "Volatility Maximum Likelihood Estimation",
      "source": "live",
      "kernel_id": "20135036"
    },
    {
      "ref": "mayangrui/lgbm-ffnn",
      "title": "LGBM & FFNN",
      "source": "live",
      "kernel_id": "20133686"
    },
    {
      "ref": "chrisrichardmiles/generate-train-features-script-p13",
      "title": "generate_train_features_script_p13",
      "source": "live",
      "kernel_id": "20130725"
    },
    {
      "ref": "dlaststark/orvp-new-dawn",
      "title": "ORVP-New Dawn",
      "source": "live",
      "kernel_id": "20127459"
    },
    {
      "ref": "aerdem4/optiver-pytorch-gpu-no-feature-eng",
      "title": "Optiver PyTorch GPU No Feature Eng",
      "source": "live",
      "kernel_id": "20118185"
    },
    {
      "ref": "vi2018/optiver-volatility-prediction-linear-regression",
      "title": "Optiver Volatility Prediction Linear Regression",
      "source": "live",
      "kernel_id": "20117419"
    },
    {
      "ref": "datafan07/optiver-volatility-predictions-using-tabnet",
      "title": "Optiver Volatility Predictions Using TabNet",
      "source": "live",
      "kernel_id": "20114810"
    },
    {
      "ref": "nishanthaddagatla/lgbm-baseline",
      "title": "lgbm baseline",
      "source": "live",
      "kernel_id": "20110152"
    },
    {
      "ref": "voix97/bagging",
      "title": "树+神经网络bagging",
      "source": "live",
      "kernel_id": "20105743"
    },
    {
      "ref": "austinzhao/reproduction-explanation-lgbm-baseline",
      "title": "[Reproduction & Explanation] LGBM Baseline",
      "source": "live",
      "kernel_id": "20099574"
    },
    {
      "ref": "mayangrui/lgbm-and-nn",
      "title": "LGBM and NN",
      "source": "live",
      "kernel_id": "20082346"
    },
    {
      "ref": "ericpeterson/lgb-model-2",
      "title": "LGB model 2",
      "source": "live",
      "kernel_id": "20081679"
    },
    {
      "ref": "rasevanth/data-prep",
      "title": "Data_prep",
      "source": "live",
      "kernel_id": "20076317"
    },
    {
      "ref": "vi2018/lightning-skeleton-for-training-inference",
      "title": "Lightning skeleton for training & inference",
      "source": "live",
      "kernel_id": "20067042"
    },
    {
      "ref": "anantmulchandani/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "20063986"
    },
    {
      "ref": "yzgast/orvp-data-exploration-eda",
      "title": "ORVP | Data exploration + EDA",
      "source": "live",
      "kernel_id": "20050528"
    },
    {
      "ref": "chrisrichardmiles/opt-fe",
      "title": "opt_fe",
      "source": "live",
      "kernel_id": "20048875"
    },
    {
      "ref": "madquer/py-package-style-include-pk-code-lgb-tabn",
      "title": "🚀 Py package style - include pk code [LGB, TabN] ",
      "source": "live",
      "kernel_id": "20045184"
    },
    {
      "ref": "jarvisai7/gpu-accelerated-80x-feature-extraction",
      "title": "GPU Accelerated 80X Feature Extraction",
      "source": "live",
      "kernel_id": "20038767"
    },
    {
      "ref": "sinatavakolibanizi/notebook922c6c83b4",
      "title": "notebook922c6c83b4",
      "source": "live",
      "kernel_id": "20033836"
    },
    {
      "ref": "hserdaraltan/optiver-train-feature-engineering-lgbm-cv-gpu",
      "title": "Optiver_train-feature_engineering-lgbm-cv-gpu",
      "source": "live",
      "kernel_id": "20026933"
    },
    {
      "ref": "denisvodchyts/tf-model-predict-all-stocks-in-one-shot",
      "title": "TF model - predict all stocks in one shot",
      "source": "live",
      "kernel_id": "20016986"
    },
    {
      "ref": "yusakunokubi/lightgbm-japanese",
      "title": "LightGBM Japanese",
      "source": "live",
      "kernel_id": "20016098"
    },
    {
      "ref": "alexioslyon/lgbm-baseline",
      "title": "lgbm baseline",
      "source": "live",
      "kernel_id": "20015931"
    },
    {
      "ref": "ptrikp/single-stock-book-order-time-series",
      "title": "Single Stock - Book Order Time series",
      "source": "live",
      "kernel_id": "19991132"
    },
    {
      "ref": "tathagatsaxena28/optiver-realized-ensemble-tabnet-and-lgbm",
      "title": "【Optiver Realized】Ensemble TabNet and LGBM",
      "source": "live",
      "kernel_id": "19990569"
    },
    {
      "ref": "rayanaay/12x-faster-variable-extraction-using-numpy",
      "title": "12x FASTER variable extraction using Numpy ",
      "source": "live",
      "kernel_id": "19981867"
    },
    {
      "ref": "shivansh002/tabnet-nn",
      "title": "tabnet+NN",
      "source": "live",
      "kernel_id": "19980630"
    },
    {
      "ref": "vi2018/normalized-prices",
      "title": "Normalized prices",
      "source": "live",
      "kernel_id": "19966022"
    },
    {
      "ref": "shivansh002/leaderboard-betterfit-algorithm-default-parameter",
      "title": "LeaderBoard+Betterfit algorithm default parameter",
      "source": "live",
      "kernel_id": "19959205"
    },
    {
      "ref": "aman2114/stock-embedding-ffnn-new-features",
      "title": "Stock Embedding - FFNN - New features",
      "source": "live",
      "kernel_id": "19956955"
    },
    {
      "ref": "watarukudo/stacking",
      "title": "stacking",
      "source": "live",
      "kernel_id": "19954420"
    },
    {
      "ref": "abelmatas/stock-embedding-ffnn",
      "title": "Stock Embedding - FFNN",
      "source": "live",
      "kernel_id": "19939584"
    },
    {
      "ref": "watarukudo/tabnet-1st",
      "title": "tabnet_1st",
      "source": "live",
      "kernel_id": "19934441"
    },
    {
      "ref": "abelmatas/naive-prediction",
      "title": "Naive prediction",
      "source": "live",
      "kernel_id": "19932109"
    },
    {
      "ref": "chrisrichardmiles/lightgbm-with-neptune-ai-integration",
      "title": "Lightgbm with neptune.ai integration",
      "source": "live",
      "kernel_id": "19929750"
    },
    {
      "ref": "syerwin/stock-embedding-ffnn-my-features-a5d6b0",
      "title": "Stock Embedding - FFNN - My features a5d6b0",
      "source": "live",
      "kernel_id": "19921342"
    },
    {
      "ref": "chrisrichardmiles/opt-utils",
      "title": "opt_utils",
      "source": "live",
      "kernel_id": "19920497"
    },
    {
      "ref": "nitinsss/lstm-starter-time-series-implementation",
      "title": "LSTM starter (time-series implementation)",
      "source": "live",
      "kernel_id": "19916718"
    },
    {
      "ref": "vbmokin/stock-embedding-ffnn-upgrade-3d",
      "title": "Stock Embedding - FFNN - upgrade & 3D",
      "source": "live",
      "kernel_id": "19916314"
    },
    {
      "ref": "swimmy/stock-embedding-ffnn-my-features-a79c35",
      "title": "Stock Embedding - FFNN - My features a79c35",
      "source": "live",
      "kernel_id": "19909153"
    },
    {
      "ref": "jasonhuangcn/lgbm-train-baseline",
      "title": "LGBM Train Baseline",
      "source": "live",
      "kernel_id": "19903573"
    },
    {
      "ref": "tarlannazarov/stock-embedding-ffnn-all-seeds-1111",
      "title": "Stock Embedding - FFNN - all seeds=1111",
      "source": "live",
      "kernel_id": "19899986"
    },
    {
      "ref": "fushigen/training-cnn",
      "title": "training-cnn",
      "source": "live",
      "kernel_id": "19893773"
    },
    {
      "ref": "tensorchoko/optiver-tabnet-beginner",
      "title": "⬛Optiver  TabNet  Beginner🔰",
      "source": "live",
      "kernel_id": "19893423"
    },
    {
      "ref": "alexioslyon/stock-embedding-ffnn-my-features",
      "title": "Stock Embedding - FFNN - My features",
      "source": "live",
      "kernel_id": "19892460"
    },
    {
      "ref": "izotov/85-55-blend-nn-lgb-3-diffmodels",
      "title": "85.55.Blend NN+LGB+3 diffModels",
      "source": "live",
      "kernel_id": "19872944"
    },
    {
      "ref": "zxstont/short-fast-nn-lgb",
      "title": "Short&fast NN+LGB",
      "source": "live",
      "kernel_id": "19867670"
    },
    {
      "ref": "terrencetangt/stock-embedding",
      "title": "Stock Embedding",
      "source": "live",
      "kernel_id": "19865754"
    },
    {
      "ref": "mayangrui/optiver-realized-volatility-prediction",
      "title": "Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "19863118"
    },
    {
      "ref": "victorsullivan/optiver-realized-volatility-prediction",
      "title": " Optiver Realized Volatility Prediction",
      "source": "live",
      "kernel_id": "19862955"
    },
    {
      "ref": "lehuynhduc/optiver-linear",
      "title": "optiver_linear",
      "source": "live",
      "kernel_id": "19862795"
    },
    {
      "ref": "gopalmahadevan/short-fast-nn-lgb",
      "title": "Short&fast NN+LGB",
      "source": "live",
      "kernel_id": "19859304"
    },
    {
      "ref": "bayismet/short-fast-nn-lgb",
      "title": "Short&fast NN+LGB",
      "source": "live",
      "kernel_id": "19857402"
    },
    {
      "ref": "alexyuehuang/lgb-with-preprocessor",
      "title": "LGB with preprocessor",
      "source": "live",
      "kernel_id": "19856806"
    },
    {
      "ref": "yaoching/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "19846362"
    },
    {
      "ref": "paritoshkr30/optiver-realized-tabnet-baseline",
      "title": "【Optiver Realized】TabNet Baseline",
      "source": "live",
      "kernel_id": "19837022"
    },
    {
      "ref": "aman2114/known-ensemble-with-inference",
      "title": "Known ensemble with inference",
      "source": "live",
      "kernel_id": "19834035"
    },
    {
      "ref": "swimmy/short-fast-nn-lgb",
      "title": "Short&fast NN+LGB",
      "source": "live",
      "kernel_id": "19833091"
    },
    {
      "ref": "kevinbird15/fastai-tabular-optiver-starter-notebook",
      "title": "fastai Tabular Optiver Starter Notebook",
      "source": "live",
      "kernel_id": "19815921"
    },
    {
      "ref": "gopalmahadevan/stock-embedding-ffnn-features-of-the-best-lgbm",
      "title": "Stock Embedding - FFNN - features of the best lgbm",
      "source": "live",
      "kernel_id": "19796346"
    },
    {
      "ref": "slawekbiel/short-fast-nn-lgb",
      "title": "Short&fast NN+LGB",
      "source": "live",
      "kernel_id": "19788438"
    },
    {
      "ref": "slawekbiel/optiver-features",
      "title": "optiver_features",
      "source": "live",
      "kernel_id": "19788350"
    },
    {
      "ref": "aman2114/lgb-imputed-tuned",
      "title": "LGB imputed tuned",
      "source": "live",
      "kernel_id": "19784315"
    },
    {
      "ref": "alexyuehuang/lgb-with-added-feature-engineering",
      "title": "LGB with added feature engineering",
      "source": "live",
      "kernel_id": "19769024"
    },
    {
      "ref": "tatudoug/stock-embedding-ffnn-my-features",
      "title": "Stock Embedding - FFNN - My features",
      "source": "live",
      "kernel_id": "19767428"
    },
    {
      "ref": "melihgm11/analysis-of-the-optiver-realized-volatility",
      "title": "Analysis of the Optiver Realized Volatility",
      "source": "live",
      "kernel_id": "19712025"
    },
    {
      "ref": "lucasmorin/load-external-data-yfinance-pca-t-sne-umap",
      "title": "Load external data : yfinance+PCA/t-SNE/UMAP",
      "source": "live",
      "kernel_id": "19701509"
    },
    {
      "ref": "syerwin/optiver-realized-ensemble-tabnet-and-lgbm",
      "title": "【Optiver Realized】Ensemble TabNet and LGBM",
      "source": "live",
      "kernel_id": "19681093"
    },
    {
      "ref": "mateuscco/feature-engineering-pipeline-optimized-lightgbm",
      "title": "Feature engineering pipeline optimized LightGBM",
      "source": "live",
      "kernel_id": "19672448"
    },
    {
      "ref": "hghghghgh1234/inference-sub-gauss-rank-scaler-lgb-tabnet",
      "title": "Inference sub gauss rank scaler + LGB + TabNet",
      "source": "live",
      "kernel_id": "19671905"
    },
    {
      "ref": "zch19940222/volatity-prediction-lgb1",
      "title": "volatity-prediction-lgb1",
      "source": "live",
      "kernel_id": "19669554"
    },
    {
      "ref": "nishanthaddagatla/ensemble-3x-inference",
      "title": "ensemble_3x_inference",
      "source": "live",
      "kernel_id": "19668814"
    },
    {
      "ref": "leolu1998/optiver-realized-ensemble",
      "title": "optiver-realized ensemble ",
      "source": "live",
      "kernel_id": "19664925"
    },
    {
      "ref": "noriakiendo/bias-of-time-ids-in-the-largest-targets",
      "title": "Bias of time_ids in the Largest Targets",
      "source": "live",
      "kernel_id": "19644292"
    },
    {
      "ref": "watarukudo/lgbm-1st",
      "title": "lgbm_1st",
      "source": "live",
      "kernel_id": "19638456"
    },
    {
      "ref": "yamitatsu/volatility-eda-for-beginner-xgboost",
      "title": "volatility_EDA for Beginner 日本語[XGBoost]",
      "source": "live",
      "kernel_id": "19636433"
    },
    {
      "ref": "quincyqiang/pdata1-lgb-inference",
      "title": "pdata1-lgb-inference",
      "source": "live",
      "kernel_id": "19635881"
    },
    {
      "ref": "quincyqiang/pdata1-lgb-train",
      "title": "pdata1-lgb-train",
      "source": "live",
      "kernel_id": "19635679"
    },
    {
      "ref": "anirudhvadakedath/tpot-v1",
      "title": "TPOT-V1",
      "source": "live",
      "kernel_id": "19613111"
    },
    {
      "ref": "oelikoeli/naive-model-in-r",
      "title": "Naive model in R",
      "source": "live",
      "kernel_id": "19612484"
    },
    {
      "ref": "yamitatsu/volatility-eda",
      "title": "volatility_EDA",
      "source": "live",
      "kernel_id": "19610095"
    },
    {
      "ref": "gokulprakash/optiver-feature-engineering",
      "title": "optiver feature engineering",
      "source": "live",
      "kernel_id": "19608304"
    },
    {
      "ref": "sweetjane/catboost",
      "title": "CatBoost",
      "source": "live",
      "kernel_id": "19599592"
    },
    {
      "ref": "redjumbie/another-nn-idea",
      "title": "Another nn idea",
      "source": "live",
      "kernel_id": "19588348"
    },
    {
      "ref": "heirophany/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "19577807"
    },
    {
      "ref": "michaelgeorgerasmy/optiver-realized-volatility-prediction-lgmb-v1",
      "title": "Optiver Realized Volatility Prediction-LGMB-V1",
      "source": "live",
      "kernel_id": "19576068"
    },
    {
      "ref": "quincyqiang/pdata1-features1",
      "title": "pdata1_features1",
      "source": "live",
      "kernel_id": "19573532"
    },
    {
      "ref": "rajat95gupta/ensemble-lgbm-nn-inference",
      "title": "ensemble_lgbm_nn_inference",
      "source": "live",
      "kernel_id": "19563050"
    },
    {
      "ref": "shivansh002/xgboost-hyper-parameter-optimization",
      "title": "XGBOOST 🐱‍🏍✔HYPER-PARAMETER Optimization",
      "source": "live",
      "kernel_id": "19562673"
    },
    {
      "ref": "mtinti/lgb-starter-eli5",
      "title": "LGB Starter ELI5",
      "source": "live",
      "kernel_id": "19558277"
    },
    {
      "ref": "lighttag/make-np-array-of-all-data",
      "title": "Make NP Array Of All Data",
      "source": "live",
      "kernel_id": "19556591"
    },
    {
      "ref": "takiyu/japanese-optiver",
      "title": "【日本語/Japanese】Optiver取り組む前準備・用語の説明など",
      "source": "live",
      "kernel_id": "19514925"
    },
    {
      "ref": "anirudhvadakedath/opti-forcast-9bb85b",
      "title": "Opti-Forcast 9bb85b",
      "source": "live",
      "kernel_id": "19498268"
    },
    {
      "ref": "rohithramakrishnan/submission",
      "title": "Submission",
      "source": "live",
      "kernel_id": "19495502"
    },
    {
      "ref": "hghghghgh1234/tabnet-regressor-training",
      "title": "TabNet Regressor training",
      "source": "live",
      "kernel_id": "19489620"
    },
    {
      "ref": "kosukeponi/begginer-tried-predicting-realized-vol-lgb",
      "title": "begginer_tried_predicting_realized_vol_LGB（日本語）",
      "source": "live",
      "kernel_id": "19488029"
    },
    {
      "ref": "xiaowangiiiii/nn-starter-stock-embedding",
      "title": "NN Starter - Stock Embedding",
      "source": "live",
      "kernel_id": "19474182"
    },
    {
      "ref": "narendra/optiver-baseline-gru-submission",
      "title": "Optiver-Baseline-gru-submission",
      "source": "live",
      "kernel_id": "19470948"
    },
    {
      "ref": "tchaye59/realized-volatility-keras-rnn-baseline-tpu",
      "title": "Realized Volatility: Keras RNN Baseline[TPU]",
      "source": "live",
      "kernel_id": "19460893"
    },
    {
      "ref": "avivlevi815/baseline-model-lgbm-0-4",
      "title": "baseline model LGBM ~0.4",
      "source": "live",
      "kernel_id": "19460033"
    },
    {
      "ref": "sourabhy/orvp-eda",
      "title": "ORVP EDA",
      "source": "live",
      "kernel_id": "19456662"
    },
    {
      "ref": "jiangair/lightgbm-starter-with-feature-engineering-idea",
      "title": "LightGBM starter with feature engineering idea",
      "source": "live",
      "kernel_id": "19453850"
    },
    {
      "ref": "hghghghgh1234/optiver-realized-volatility-lgbm-baseline",
      "title": "Optiver Realized Volatility LGBM Baseline",
      "source": "live",
      "kernel_id": "19424913"
    },
    {
      "ref": "peterzcy/optiver-eda",
      "title": "Optiver EDA 中文",
      "source": "live",
      "kernel_id": "19414384"
    },
    {
      "ref": "danielkinger/notebooke4be4a3025",
      "title": "notebooke4be4a3025",
      "source": "live",
      "kernel_id": "19411550"
    },
    {
      "ref": "narendra/optiver-baseline-gru",
      "title": "Optiver-Baseline-gru",
      "source": "live",
      "kernel_id": "19405848"
    },
    {
      "ref": "swimmy/optiver-realized-ensamble-tabnet-and-lgbm",
      "title": "【Optiver Realized】Ensamble TabNet and LGBM",
      "source": "live",
      "kernel_id": "19396197"
    },
    {
      "ref": "pea98258/tick-size",
      "title": "Tick Size",
      "source": "live",
      "kernel_id": "19384925"
    },
    {
      "ref": "gopalmahadevan/optiver-lgb-with-optimized-params",
      "title": "[Optiver] LGB With Optimized Params",
      "source": "live",
      "kernel_id": "19378561"
    },
    {
      "ref": "chumajin/optiver-realized-ensemble-tabnet-and-lgbm",
      "title": "【Optiver Realized】Ensemble TabNet and LGBM",
      "source": "live",
      "kernel_id": "19373798"
    },
    {
      "ref": "chumajin/optiver-realized-tabnet-baseline",
      "title": "【Optiver Realized】TabNet Baseline",
      "source": "live",
      "kernel_id": "19372631"
    },
    {
      "ref": "swimmy/optiver-lgb-with-optimized-params-feat",
      "title": "[Optiver] LGB With Optimized Params+feat",
      "source": "live",
      "kernel_id": "19358396"
    },
    {
      "ref": "vjagannath786/understanding-the-competititon-v1-0",
      "title": "understanding the competititon v1.0",
      "source": "live",
      "kernel_id": "19350488"
    },
    {
      "ref": "teka1216/target-comparison-with-realized-volatility",
      "title": "Target comparison with realized volatility",
      "source": "live",
      "kernel_id": "19346535"
    },
    {
      "ref": "greeneagle2/eda-orvp-using-dataprep",
      "title": "EDA - ORVP- using dataprep",
      "source": "live",
      "kernel_id": "19346090"
    },
    {
      "ref": "junjitakeshima/optiver-beginner-s-gradual-improvement-eng",
      "title": "[Optiver] Beginner's gradual improvement (Eng/日本語)",
      "source": "live",
      "kernel_id": "19341892"
    },
    {
      "ref": "kamaljp/optiver-realized-volatility-eda-ideas",
      "title": "Optiver Realized Volatility EDA/Ideas",
      "source": "live",
      "kernel_id": "19340591"
    },
    {
      "ref": "tatudoug/stock-embedding-ffnn-features-of-the-best-lgbm",
      "title": "Stock Embedding - FFNN - features of the best lgbm",
      "source": "live",
      "kernel_id": "19334898"
    },
    {
      "ref": "victorasso/forward-filling-orvp",
      "title": "Forward filling ORVP",
      "source": "live",
      "kernel_id": "19330878"
    },
    {
      "ref": "tejasdokras/realized-volatility-predicton",
      "title": "realized_volatility_predicton",
      "source": "live",
      "kernel_id": "19323964"
    },
    {
      "ref": "skloveyyp/optiver-lgb-with-optimized-params",
      "title": "[Optiver] LGB With Optimized Params",
      "source": "live",
      "kernel_id": "19317207"
    },
    {
      "ref": "narendra/optiver-realized-volatility-eda",
      "title": "Optiver-Realized Volatility EDA",
      "source": "live",
      "kernel_id": "19314195"
    },
    {
      "ref": "rajat95gupta/optiver-lgbm-two-seeds-inference",
      "title": "optiver_lgbm_two_seeds_inference",
      "source": "live",
      "kernel_id": "19311146"
    },
    {
      "ref": "stassl/recovering-time-id-order",
      "title": "Recovering time_id order",
      "source": "live",
      "kernel_id": "19295768"
    },
    {
      "ref": "ramikhreas/catboost-with-optimized-params",
      "title": "CatBoost With Optimized Params",
      "source": "live",
      "kernel_id": "19277005"
    },
    {
      "ref": "ramikhreas/accelerating-trading-on-gpu-via-rapids-agg-fun",
      "title": "Accelerating Trading on GPU via RAPIDS + agg_fun",
      "source": "live",
      "kernel_id": "19275861"
    },
    {
      "ref": "markct/volatility-3",
      "title": "Volatility 3",
      "source": "live",
      "kernel_id": "19275627"
    },
    {
      "ref": "juanignacio93/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "19249743"
    },
    {
      "ref": "aman2114/baseline-0-211",
      "title": "Baseline_0.211 ",
      "source": "live",
      "kernel_id": "19239040"
    },
    {
      "ref": "ollibolli/narrower-search",
      "title": "Narrower search",
      "source": "live",
      "kernel_id": "19223525"
    },
    {
      "ref": "pkang0831/optiver-submission-pk",
      "title": "Optiver_Submission_PK",
      "source": "live",
      "kernel_id": "19200063"
    },
    {
      "ref": "craving1030/lgb-model-with-random-grid-searching-parmeters",
      "title": "Lgb model with random grid searching parmeters",
      "source": "live",
      "kernel_id": "19199509"
    },
    {
      "ref": "ataruno/submission-test-just-to-submit-a-sample",
      "title": "submission_test(just to submit a sample)",
      "source": "live",
      "kernel_id": "19193388"
    },
    {
      "ref": "gogo827jz/go-deeper-and-deeper-optimise-rv",
      "title": "Go Deeper and Deeper! [Optimise RV]",
      "source": "live",
      "kernel_id": "19186495"
    },
    {
      "ref": "lihongtang/optiver-feature-experimentation-lgbm-tuning",
      "title": "Optiver feature experimentation + LGBM tuning :>)",
      "source": "live",
      "kernel_id": "19133768"
    },
    {
      "ref": "alexioslyon/accelerating-trading-on-gpu-via-rapids",
      "title": "Accelerating Trading on GPU via RAPIDS",
      "source": "live",
      "kernel_id": "19131784"
    },
    {
      "ref": "tarlannazarov/optiver-lgb-with-optimized-params",
      "title": "[Optiver] LGB With Optimized Params",
      "source": "live",
      "kernel_id": "19080342"
    },
    {
      "ref": "felipefonte99/optiver-lgb-with-optimized-params",
      "title": "[Optiver] LGB With Optimized Params",
      "source": "live",
      "kernel_id": "19044962"
    },
    {
      "ref": "duckmoll/submit-single-stock-sample-weight",
      "title": "(Submit) single stock sample weight",
      "source": "live",
      "kernel_id": "19041844"
    },
    {
      "ref": "sakshi1303/optiver-simple-ml-model-2",
      "title": "optiver_simple_ml_model 2",
      "source": "live",
      "kernel_id": "19016308"
    },
    {
      "ref": "monicafeng/optiverrealizedvolatility-v2-0-0",
      "title": "OptiverRealizedVolatility v2.0.0",
      "source": "live",
      "kernel_id": "19000076"
    },
    {
      "ref": "duckmoll/advanced-fe-linear-regression",
      "title": "Advanced FE + linear regression",
      "source": "live",
      "kernel_id": "18982521"
    },
    {
      "ref": "narendra/optiver-order-book-eda",
      "title": "Optiver-Order Book-EDA",
      "source": "live",
      "kernel_id": "18964931"
    },
    {
      "ref": "paarthbhasin/cnn-lstm-multivariate",
      "title": "CNN LSTM Multivariate ",
      "source": "live",
      "kernel_id": "18961973"
    },
    {
      "ref": "lighttag/merging-trades-and-book",
      "title": "Merging Trades And Book",
      "source": "live",
      "kernel_id": "18952588"
    },
    {
      "ref": "kiitosu/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data 日本語訳",
      "source": "live",
      "kernel_id": "18942439"
    },
    {
      "ref": "hiromasatabuchi/baseline-simple-flow-with-lightgbm",
      "title": "Baseline : Simple flow with LightGBM",
      "source": "live",
      "kernel_id": "18942194"
    },
    {
      "ref": "nhiphuongtran/optiver-lstm",
      "title": "Optiver_LSTM",
      "source": "live",
      "kernel_id": "18937757"
    },
    {
      "ref": "emingx/optiver-realized-volatility",
      "title": "Optiver Realized Volatility",
      "source": "live",
      "kernel_id": "18932677"
    },
    {
      "ref": "denisvodchyts/lgbm-slightly-different-features",
      "title": "LGBM + slightly different features ",
      "source": "live",
      "kernel_id": "18928102"
    },
    {
      "ref": "erenovics/lgb-starter",
      "title": "LGB Starter",
      "source": "live",
      "kernel_id": "18923585"
    },
    {
      "ref": "tangtunyu/lgbm-infer",
      "title": "lgbm-infer",
      "source": "live",
      "kernel_id": "18889078"
    },
    {
      "ref": "kittlein/worth-rescuing",
      "title": "Worth rescuing",
      "source": "live",
      "kernel_id": "18882603"
    },
    {
      "ref": "teralasowmya/soumya-optiver",
      "title": "Soumya optiver",
      "source": "live",
      "kernel_id": "18872530"
    },
    {
      "ref": "elcaiseri/pytorch-optiver-realized-volatility-baseline",
      "title": "PyTorch | Optiver Realized Volatility [Baseline]",
      "source": "live",
      "kernel_id": "18871346"
    },
    {
      "ref": "soophiezhu/eda-68",
      "title": "eda 68",
      "source": "live",
      "kernel_id": "18863574"
    },
    {
      "ref": "khosiyatsabirova/20-3version",
      "title": "20_3Version",
      "source": "live",
      "kernel_id": "18850071"
    },
    {
      "ref": "khosiyatsabirova/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "18842984"
    },
    {
      "ref": "npismenniy/wrong-trade-data-discovery",
      "title": "wrong trade data discovery",
      "source": "live",
      "kernel_id": "18835074"
    },
    {
      "ref": "alexryzhkov/eda-fe-and-model-creation-lightautoml-starter",
      "title": "EDA, FE and model creation (LightAutoML starter)",
      "source": "live",
      "kernel_id": "18830238"
    },
    {
      "ref": "fortis3000/insane-feature-engineering",
      "title": "Insane feature engineering",
      "source": "live",
      "kernel_id": "18825002"
    },
    {
      "ref": "arenagrenade/fork-of-nn-model-submission",
      "title": "Fork of NN Model Submission",
      "source": "live",
      "kernel_id": "18817300"
    },
    {
      "ref": "laurencelin/volatiltiy-prediction2",
      "title": "Volatiltiy_prediction2",
      "source": "live",
      "kernel_id": "18815215"
    },
    {
      "ref": "kittlein/volatility-custom-cnn-on-the-fly",
      "title": "Volatility custom CNN on the fly",
      "source": "live",
      "kernel_id": "18811418"
    },
    {
      "ref": "gopalmahadevan/hamiltonian-equation-as-marketplace-energy",
      "title": "Hamiltonian Equation as Marketplace Energy",
      "source": "live",
      "kernel_id": "18808421"
    },
    {
      "ref": "priyharshgangwar/submission-guide-and-eda",
      "title": "Submission_guide_and_EDA",
      "source": "live",
      "kernel_id": "18800996"
    },
    {
      "ref": "masamichitoyama/volatillity-prediction2",
      "title": "Volatillity-Prediction2",
      "source": "live",
      "kernel_id": "18797952"
    },
    {
      "ref": "calibrator/rmspe-manipulation-for-debugging",
      "title": "RMSPE manipulation for debugging",
      "source": "live",
      "kernel_id": "18791302"
    },
    {
      "ref": "ajaypalsinghlo/optiver-realized-volatility-prediction",
      "title": "optiver-realized-volatility-prediction",
      "source": "live",
      "kernel_id": "18787319"
    },
    {
      "ref": "ragnar123/optiver-realized-volatility-lgbm-baseline",
      "title": "Optiver Realized Volatility LGBM Baseline",
      "source": "live",
      "kernel_id": "18786907"
    },
    {
      "ref": "code1110/optiver-lgb-and-te-baseline-inference",
      "title": "[Optiver] LGB and TE baseline (inference)",
      "source": "live",
      "kernel_id": "18784971"
    },
    {
      "ref": "code1110/optiver-lgb-and-te-baseline",
      "title": "[Optiver] LGB and TE baseline",
      "source": "live",
      "kernel_id": "18782513"
    },
    {
      "ref": "pkang0831/multiple-model-tryouts",
      "title": "Multiple model tryouts...",
      "source": "live",
      "kernel_id": "18774521"
    },
    {
      "ref": "brandao/when-the-old-school-gets-a-good-score-in-r",
      "title": "When the old school gets a good score - in R",
      "source": "live",
      "kernel_id": "18772833"
    },
    {
      "ref": "arenagrenade/nn-model-submission",
      "title": "NN Model Submission",
      "source": "live",
      "kernel_id": "18764139"
    },
    {
      "ref": "johnakwei/realized-volatility-neural-networks-in-r",
      "title": "Realized Volatility Neural Networks in R",
      "source": "live",
      "kernel_id": "18763648"
    },
    {
      "ref": "laurencelin/volatility-prediction-deprecated",
      "title": "Volatility_Prediction(deprecated)",
      "source": "live",
      "kernel_id": "18762197"
    },
    {
      "ref": "matsuosan/optiver-eda-xgboost-starter-japanese",
      "title": "Optiver; EDA XGBoost starter(日本語,Japanese)",
      "source": "live",
      "kernel_id": "18755140"
    },
    {
      "ref": "arenagrenade/optimization-36x-data-pre-processing-with-numba",
      "title": "[Optimization](36x) Data Pre-processing with Numba",
      "source": "live",
      "kernel_id": "18753604"
    },
    {
      "ref": "gopalmahadevan/optiverrealizedvolatility-v2-0-0",
      "title": "OptiverRealizedVolatility v2.0.0",
      "source": "live",
      "kernel_id": "18749627"
    },
    {
      "ref": "noisefallacy/notebook9ce6a5bcd2",
      "title": "notebook9ce6a5bcd2",
      "source": "live",
      "kernel_id": "18740569"
    },
    {
      "ref": "semaule/code-optimisation-numpy-vs-pandas-10x-speedup",
      "title": "[Code optimisation] Numpy vs. Pandas - 10x SPEEDUP",
      "source": "live",
      "kernel_id": "18723385"
    },
    {
      "ref": "masamichitoyama/volatility-prediction1",
      "title": "Volatility-Prediction1",
      "source": "live",
      "kernel_id": "18715097"
    },
    {
      "ref": "calibrator/a-minimal-benchmark",
      "title": "A Minimal Benchmark",
      "source": "live",
      "kernel_id": "18714832"
    },
    {
      "ref": "teralasowmya/group-ts-validation",
      "title": "GROUP TS VALIDATION",
      "source": "live",
      "kernel_id": "18713225"
    },
    {
      "ref": "taherhaggui/pytorch-model",
      "title": "pytorch model",
      "source": "live",
      "kernel_id": "18696355"
    },
    {
      "ref": "kartik2khandelwal/optiverrealizedvolatility-v2-0-0",
      "title": "OptiverRealizedVolatility v2.0.0",
      "source": "live",
      "kernel_id": "18673948"
    },
    {
      "ref": "sambhavsg/data-research-inference-optiver",
      "title": "(Data) Research Inference Optiver",
      "source": "live",
      "kernel_id": "18664272"
    },
    {
      "ref": "sakshi1303/optiver-simple-ml-model-3608cb",
      "title": "optiver_simple_ml_model 3608cb",
      "source": "live",
      "kernel_id": "18658858"
    },
    {
      "ref": "gopalmahadevan/optiver-realized-volatility-prediction-safarii",
      "title": "Optiver_Realized_Volatility_Prediction-SAFARII",
      "source": "live",
      "kernel_id": "18647709"
    },
    {
      "ref": "lokeshgautham/baseline-model",
      "title": "Baseline Model",
      "source": "live",
      "kernel_id": "18643775"
    },
    {
      "ref": "pyrole/optiver-stock-correlations-analysis",
      "title": "Optiver Stock correlations analysis",
      "source": "live",
      "kernel_id": "18642792"
    },
    {
      "ref": "medali1992/optiver-train-dataset",
      "title": "Optiver Train Dataset",
      "source": "live",
      "kernel_id": "18642051"
    },
    {
      "ref": "rabeyaakter/optiver-realized-volatility-prediction-safarii",
      "title": "Optiver_Realized_Volatility_Prediction-SAFARII",
      "source": "live",
      "kernel_id": "18635434"
    },
    {
      "ref": "ninhson/manytoone-gru",
      "title": "manytoone_gru",
      "source": "live",
      "kernel_id": "18631907"
    },
    {
      "ref": "devanshchowdhury/second-revised-lightgbm-xgboost-linear-regression",
      "title": "Second Revised LightGBM,XGBOOST,Linear Regression",
      "source": "live",
      "kernel_id": "18611831"
    },
    {
      "ref": "rabeyaakter/optiver-realized-volatility-prediction-safari",
      "title": "Optiver_Realized_Volatility_Prediction-SAFARI",
      "source": "live",
      "kernel_id": "18611750"
    },
    {
      "ref": "ttquang/train-lstm",
      "title": "train_lstm",
      "source": "live",
      "kernel_id": "18596663"
    },
    {
      "ref": "devanshchowdhury/first-revised-linear-regression",
      "title": "First Revised LINEAR REGRESSION",
      "source": "live",
      "kernel_id": "18595206"
    },
    {
      "ref": "teka1216/baseline-for-volatility-prediction-in-r",
      "title": "Baseline for volatility prediction in R",
      "source": "live",
      "kernel_id": "18590959"
    },
    {
      "ref": "gunesevitan/optiver-realized-volatility-prediction-1d-cnn",
      "title": "Optiver Realized Volatility Prediction - 1D CNN",
      "source": "live",
      "kernel_id": "18589542"
    },
    {
      "ref": "gopalmahadevan/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "18589359"
    },
    {
      "ref": "slawekbiel/deep-learning-approach-with-a-cnn-inference",
      "title": "Deep Learning approach with a CNN- inference",
      "source": "live",
      "kernel_id": "18575044"
    },
    {
      "ref": "johnakwei/realized-volatility-random-forest-in-r",
      "title": " Realized Volatility Random Forest in R",
      "source": "live",
      "kernel_id": "18561089"
    },
    {
      "ref": "pehahn/lightgbm-r",
      "title": "lightGBM-R",
      "source": "live",
      "kernel_id": "18560577"
    },
    {
      "ref": "johnakwei/realized-volatility-linear-regression-in-r",
      "title": "Realized Volatility Linear Regression in R",
      "source": "live",
      "kernel_id": "18557631"
    },
    {
      "ref": "mountainking/lightgbm-starter-with-feature-engineering-idea",
      "title": "LightGBM starter with feature engineering idea",
      "source": "live",
      "kernel_id": "18553131"
    },
    {
      "ref": "duckmoll/k-fold-linear-baseline",
      "title": "K fold linear baseline",
      "source": "live",
      "kernel_id": "18552884"
    },
    {
      "ref": "something4kag/example-r-pkg-without-internet-nns-for-optiver",
      "title": "example R pkg without internet - NNS for Optiver",
      "source": "live",
      "kernel_id": "18549917"
    },
    {
      "ref": "xuxxuxuuxuxu/features-transform",
      "title": "features_transform",
      "source": "live",
      "kernel_id": "18542146"
    },
    {
      "ref": "alexyuehuang/lgb-starter",
      "title": "LGB Starter",
      "source": "live",
      "kernel_id": "18539120"
    },
    {
      "ref": "chungchichang/kernel-ridge-regression-edited-based-on-weighted",
      "title": "kernel ridge regression - edited based on weighted",
      "source": "live",
      "kernel_id": "18534435"
    },
    {
      "ref": "duckmoll/notebook2fc210ffb4",
      "title": "notebook2fc210ffb4",
      "source": "live",
      "kernel_id": "18528847"
    },
    {
      "ref": "hyewon328/lgbm-starter-optimization",
      "title": "LGBM Starter + Optimization🎯",
      "source": "live",
      "kernel_id": "18525619"
    },
    {
      "ref": "mmoreaux/data-glimpse",
      "title": "data glimpse",
      "source": "live",
      "kernel_id": "18510874"
    },
    {
      "ref": "devanshchowdhury/first-revised",
      "title": "First Revised",
      "source": "live",
      "kernel_id": "18510748"
    },
    {
      "ref": "tommy1028/lightgbm-starter-with-feature-engineering-idea",
      "title": "LightGBM starter with feature engineering idea",
      "source": "live",
      "kernel_id": "18503310"
    },
    {
      "ref": "devanshchowdhury/basic",
      "title": "basic",
      "source": "live",
      "kernel_id": "18501183"
    },
    {
      "ref": "teralasowmya/basic-model-on-optiver-competition",
      "title": "basic model on optiver Competition",
      "source": "live",
      "kernel_id": "18500360"
    },
    {
      "ref": "teralasowmya/optiver-data-prediction",
      "title": "optiver data prediction",
      "source": "live",
      "kernel_id": "18498991"
    },
    {
      "ref": "caesarlupum/xgb-purged-group-ts-validation",
      "title": "XGB&PURGED GROUP TS VALIDATION",
      "source": "live",
      "kernel_id": "18493237"
    },
    {
      "ref": "caesarmtuguinay/optiver-competition-first-approach",
      "title": "Optiver Competition First Approach",
      "source": "live",
      "kernel_id": "18492675"
    },
    {
      "ref": "pchandrashekhar/chandu",
      "title": "chandu",
      "source": "live",
      "kernel_id": "18491269"
    },
    {
      "ref": "ozmanakram/volatility-clustering-for-garch",
      "title": "Volatility Clustering for GARCH",
      "source": "live",
      "kernel_id": "18488488"
    },
    {
      "ref": "johnoliverjones/hamiltonian-equation-using-marketplace-energy",
      "title": "Hamiltonian Equation using Marketplace Energy",
      "source": "live",
      "kernel_id": "18486012"
    },
    {
      "ref": "eneszvo/advance-time-series-features-tsfresh",
      "title": "Advance time-series features| tsfresh",
      "source": "live",
      "kernel_id": "18482871"
    },
    {
      "ref": "benjamingowan/nice-r-arrow-features-funny",
      "title": "Nice R Arrow features (funny)",
      "source": "live",
      "kernel_id": "18476858"
    },
    {
      "ref": "alessiopeluso/volatility-baseline",
      "title": "Volatility Baseline",
      "source": "live",
      "kernel_id": "18471127"
    },
    {
      "ref": "lucasmorin/tf-keras-nn-with-stock-embedding",
      "title": "TF/Keras NN with Stock Embedding",
      "source": "live",
      "kernel_id": "18470995"
    },
    {
      "ref": "andrewkkchoi/volatality-neural-network-baseline",
      "title": "Volatality Neural Network Baseline",
      "source": "live",
      "kernel_id": "18470598"
    },
    {
      "ref": "foadgreen/egg-croissant",
      "title": "Egg Croissant",
      "source": "live",
      "kernel_id": "18457145"
    },
    {
      "ref": "pehahn/lm-poly",
      "title": "lm_poly",
      "source": "live",
      "kernel_id": "18451994"
    },
    {
      "ref": "haiyunhu/lgb-starter-4",
      "title": "LGB Starter 4",
      "source": "live",
      "kernel_id": "18444965"
    },
    {
      "ref": "bhaveshkumar2806/volatility-prediction-eda-linear-regression",
      "title": "Volatility Prediction: EDA + Linear Regression",
      "source": "live",
      "kernel_id": "18444321"
    },
    {
      "ref": "gunesevitan/optiver-realized-volatility-prediction-eda",
      "title": "Optiver Realized Volatility Prediction - EDA",
      "source": "live",
      "kernel_id": "18441394"
    },
    {
      "ref": "calibrator/investigating-outliers",
      "title": "Investigating outliers",
      "source": "live",
      "kernel_id": "18436605"
    },
    {
      "ref": "kentaroaoyama/notebook481d35b081",
      "title": "notebook481d35b081",
      "source": "live",
      "kernel_id": "18434599"
    },
    {
      "ref": "johnakwei/realized-volatility-ln-rf-knn-garch-in-r",
      "title": "Realized Volatility LN RF KNN GARCH (in R)",
      "source": "live",
      "kernel_id": "18425368"
    },
    {
      "ref": "hyewon328/understand-and-visualize-volatility-data",
      "title": "Understand and Visualize Volatility data📊📌",
      "source": "live",
      "kernel_id": "18421808"
    },
    {
      "ref": "tensorchoko/optiver-realized-lightgbm-test",
      "title": "⬛Optiver Realized LightGBM test　",
      "source": "live",
      "kernel_id": "18419384"
    },
    {
      "ref": "andrewkkchoi/wap-lr-visual-analysis-most-least-volatility",
      "title": "WAP/LR Visual Analysis - Most & Least Volatility",
      "source": "live",
      "kernel_id": "18416172"
    },
    {
      "ref": "houndcl/time-id-in-hidden-test-set-doesn-t-start-from-0",
      "title": "time_id in hidden test set doesn't start from 0 ",
      "source": "live",
      "kernel_id": "18413312"
    },
    {
      "ref": "thecurvefitter/tugofwar-buyer-seller",
      "title": "TugOfWar - Buyer&Seller",
      "source": "live",
      "kernel_id": "18409054"
    },
    {
      "ref": "taherhaggui/lgbm-with-efficient-features-engineering",
      "title": "lgbm with efficient features engineering",
      "source": "live",
      "kernel_id": "18407609"
    },
    {
      "ref": "aerdem4/optiver-rapids-svr-wip",
      "title": "Optiver RAPIDS SVR (WIP)",
      "source": "live",
      "kernel_id": "18404633"
    },
    {
      "ref": "aerdem4/accelerating-trading-on-gpu-via-rapids",
      "title": "Accelerating Trading on GPU via RAPIDS",
      "source": "live",
      "kernel_id": "18398425"
    },
    {
      "ref": "dnging/linear-regression",
      "title": "Linear Regression",
      "source": "live",
      "kernel_id": "18396836"
    },
    {
      "ref": "ozmanakram/we-need-to-go-deeper",
      "title": "We need to go deeper++",
      "source": "live",
      "kernel_id": "18386191"
    },
    {
      "ref": "gogo827jz/automl-optiver-autogluon-notebook",
      "title": "[AutoML] Optiver Autogluon Notebook",
      "source": "live",
      "kernel_id": "18382632"
    },
    {
      "ref": "lucasmorin/lgbm-adversarial-testing",
      "title": "LGBM - Adversarial testing",
      "source": "live",
      "kernel_id": "18382046"
    },
    {
      "ref": "manels/lgb-starter",
      "title": "LGB Starter",
      "source": "live",
      "kernel_id": "18381343"
    },
    {
      "ref": "archishs/a-novice-attempt-at-a-tough-problem",
      "title": "A novice attempt at a tough problem",
      "source": "live",
      "kernel_id": "18377397"
    },
    {
      "ref": "jarfo1/volatility-correlation-among-stocks",
      "title": "Volatility correlation among stocks",
      "source": "live",
      "kernel_id": "18375320"
    },
    {
      "ref": "marcobeyer/lstm-starter",
      "title": "LSTM Starter",
      "source": "live",
      "kernel_id": "18374886"
    },
    {
      "ref": "faelk8/optiver-overly-prediction",
      "title": "Optiver Overly - Prediction",
      "source": "live",
      "kernel_id": "18369715"
    },
    {
      "ref": "rajgandhi/optiver-volatility-prediction-lgbm",
      "title": "Optiver Volatility Prediction: LGBM",
      "source": "live",
      "kernel_id": "18369500"
    },
    {
      "ref": "shahmahdihasan/eda-correlation-among-stocks-based-on-volatility",
      "title": "EDA: correlation among stocks based on volatility",
      "source": "live",
      "kernel_id": "18364803"
    },
    {
      "ref": "damoonshahhosseini/ensemble-models",
      "title": "Ensemble models",
      "source": "live",
      "kernel_id": "18364276"
    },
    {
      "ref": "danwatson16/weighted-xgboost-with-stock-grouping-eda",
      "title": "Weighted XGBoost with stock grouping, EDA",
      "source": "live",
      "kernel_id": "18357188"
    },
    {
      "ref": "shubhampandey253/the-notebook-you-need-understanding-orvp",
      "title": "The notebook you need (Understanding ORVP)",
      "source": "live",
      "kernel_id": "18356365"
    },
    {
      "ref": "semaule/eda-visualising-trading-data-optiver",
      "title": "[EDA] Visualising trading data - Optiver",
      "source": "live",
      "kernel_id": "18356148"
    },
    {
      "ref": "munumbutt/optuna-tuned-tf-neural-network",
      "title": "Optuna Tuned TF Neural Network",
      "source": "live",
      "kernel_id": "18351733"
    },
    {
      "ref": "michaelgehrig/number-of-observations-per-bucket",
      "title": "Number of observations per bucket",
      "source": "live",
      "kernel_id": "18351287"
    },
    {
      "ref": "yiminglii/volatility-prediction",
      "title": "Volatility Prediction",
      "source": "live",
      "kernel_id": "18351257"
    },
    {
      "ref": "yaroshenko/optiver-realized-volatility-prediction",
      "title": "optiver-realized-volatility-prediction",
      "source": "live",
      "kernel_id": "18349059"
    },
    {
      "ref": "krishnamore/optiver-realized-volatilityz-prediction",
      "title": " Optiver Realized Volatilityz Prediction",
      "source": "live",
      "kernel_id": "18342169"
    },
    {
      "ref": "medali1992/optiver-feature-engineering-rapids-joblib",
      "title": "Optiver Feature Engineering Rapids + Joblib",
      "source": "live",
      "kernel_id": "18340357"
    },
    {
      "ref": "iiillliii/how-can-i-get-lagged-features",
      "title": "How can I get lagged features?",
      "source": "live",
      "kernel_id": "18339481"
    },
    {
      "ref": "shahmahdihasan/overly-simplified-ols-prediction",
      "title": "Overly simplified OLS prediction",
      "source": "live",
      "kernel_id": "18336979"
    },
    {
      "ref": "shamiulislamshifat/optiver-realized-volatility-prediction-gold",
      "title": "Optiver Realized Volatility Prediction-Gold",
      "source": "live",
      "kernel_id": "18336732"
    },
    {
      "ref": "pehahn/optiver-tidy-base",
      "title": "optiver_tidy_base",
      "source": "live",
      "kernel_id": "18336077"
    },
    {
      "ref": "shivarama/optiver-realized-volatility-starter-kit-101",
      "title": "Optiver Realized Volatility - Starter Kit 101",
      "source": "live",
      "kernel_id": "18329727"
    },
    {
      "ref": "erizosanta/optiver",
      "title": "Optiver 実現ボラティリティ予測",
      "source": "live",
      "kernel_id": "18326337"
    },
    {
      "ref": "erizosanta/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "18325447"
    },
    {
      "ref": "calibrator/missing-trade-data-for-some-row-id",
      "title": "Missing trade data for some row_id",
      "source": "live",
      "kernel_id": "18317865"
    },
    {
      "ref": "junichiromorita/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "18315465"
    },
    {
      "ref": "ammarnassanalhajali/optiver-volatility-prediction-eda",
      "title": "Optiver Volatility Prediction-EDA",
      "source": "live",
      "kernel_id": "18285050"
    },
    {
      "ref": "damoonshahhosseini/volatility-prediction",
      "title": "Volatility Prediction",
      "source": "live",
      "kernel_id": "18279239"
    },
    {
      "ref": "slawekbiel/naive-but-fast-submission",
      "title": "Naive, but fast submission",
      "source": "live",
      "kernel_id": "18273513"
    },
    {
      "ref": "chiranjeevbit/optiver-realized-volatility-prediction-and-eda",
      "title": "Optiver Realized Volatility Prediction and EDA",
      "source": "live",
      "kernel_id": "18273019"
    },
    {
      "ref": "daicongxmu/feature-engineering-tuned-xgboost-lgbm",
      "title": "Feature Engineering + Tuned XGBoost & LGBM ",
      "source": "live",
      "kernel_id": "18263014"
    },
    {
      "ref": "haiyunhu/optiver-realized-volatility-polynomial-regression",
      "title": "optiver-realized-volatility-Polynomial-Regression",
      "source": "live",
      "kernel_id": "18258542"
    },
    {
      "ref": "lucasmorin/realised-vol-weighted-regression-baseline",
      "title": "Realised Vol - Weighted Regression Baseline",
      "source": "live",
      "kernel_id": "18254383"
    },
    {
      "ref": "munumbutt/feature-engineering-tuned-xgboost-lgbm",
      "title": "Feature Engineering + Tuned XGBoost & LGBM ",
      "source": "live",
      "kernel_id": "18252618"
    },
    {
      "ref": "yus002/starter-get-book-trade-data-mljar-automl-eda",
      "title": "[Starter] get book & trade data + MLJAR AutoML EDA",
      "source": "live",
      "kernel_id": "18251189"
    },
    {
      "ref": "pablorosa01/first-results-optiver-realized-volatility-predic",
      "title": "First results - Optiver Realized Volatility Predic",
      "source": "live",
      "kernel_id": "18250581"
    },
    {
      "ref": "christophercoffee/technical-factor-analysis",
      "title": "technical factor analysis",
      "source": "live",
      "kernel_id": "18250492"
    },
    {
      "ref": "pehahn/get-r-feeling",
      "title": "get-R-feeling",
      "source": "live",
      "kernel_id": "18249898"
    },
    {
      "ref": "mhslearner/starter-basic-analysis-with-basic-model",
      "title": "STARTER : Basic ANALYSIS with basic MODEL",
      "source": "live",
      "kernel_id": "18248524"
    },
    {
      "ref": "eneszvo/eda-features-engineering-5-fold-cv-xgb-shap",
      "title": "EDA, Features engineering, 5-fold CV XGB, SHAP",
      "source": "live",
      "kernel_id": "18245968"
    },
    {
      "ref": "hectorbarrio/volatility-prediction-prepare-data",
      "title": "Volatility Prediction - Prepare Data",
      "source": "live",
      "kernel_id": "18244853"
    },
    {
      "ref": "abhishek1aa/feature-engineering-xgboost-lgbm-baseline",
      "title": "Feature Engineering + XGBoost & LGBM Baseline",
      "source": "live",
      "kernel_id": "18240455"
    },
    {
      "ref": "haiyunhu/we-need-to-go-deeper-8f730e",
      "title": "We need to go deeper 8f730e",
      "source": "live",
      "kernel_id": "18237549"
    },
    {
      "ref": "yus002/realized-volatility-prediction-lgbm-infer",
      "title": "Realized Volatility Prediction - LGBM Infer",
      "source": "live",
      "kernel_id": "18234032"
    },
    {
      "ref": "yus002/realized-volatility-prediction-lgbm-train",
      "title": "Realized Volatility Prediction - LGBM Train",
      "source": "live",
      "kernel_id": "18233971"
    },
    {
      "ref": "atamazian/optiver-tabnet-inference",
      "title": "Optiver Tabnet Inference",
      "source": "live",
      "kernel_id": "18233478"
    },
    {
      "ref": "pablomgomez21/working-with-parquet",
      "title": "Working with Parquet",
      "source": "live",
      "kernel_id": "18231682"
    },
    {
      "ref": "lucasmorin/optiver-realized-volatility-introduction",
      "title": "Optiver Realized Volatility Introduction",
      "source": "live",
      "kernel_id": "18230931"
    },
    {
      "ref": "atamazian/optiver-tabnet-training",
      "title": "Optiver Tabnet Training",
      "source": "live",
      "kernel_id": "18230724"
    },
    {
      "ref": "munumbutt/naive-optuna-tuned-stacked-ensemble",
      "title": "Naive Optuna Tuned Stacked Ensemble",
      "source": "live",
      "kernel_id": "18229397"
    },
    {
      "ref": "pehahn/introduction-to-financial-concepts-in-r",
      "title": "Introduction to financial concepts in R",
      "source": "live",
      "kernel_id": "18228684"
    },
    {
      "ref": "pratibha9/a-quick-model",
      "title": "A_QUICK_MODEL",
      "source": "live",
      "kernel_id": "18228226"
    },
    {
      "ref": "kool777/realized-volatility-prediction-detailed-eda",
      "title": "Realized Volatility Prediction [Detailed EDA]",
      "source": "live",
      "kernel_id": "18228147"
    },
    {
      "ref": "haiyunhu/realized-volatility-prediction-xgbregressor",
      "title": "Realized Volatility Prediction - XGBRegressor",
      "source": "live",
      "kernel_id": "18226995"
    },
    {
      "ref": "likitha21/notebookefd2d206e4",
      "title": "notebookefd2d206e4",
      "source": "live",
      "kernel_id": "18222985"
    },
    {
      "ref": "tensorchoko/optiver-realized-eda",
      "title": "⬛Optiver Realized EDA",
      "source": "live",
      "kernel_id": "18222962"
    },
    {
      "ref": "dlaststark/orvp-pulp-fiction",
      "title": "ORVP-Pulp Fiction",
      "source": "live",
      "kernel_id": "18221533"
    },
    {
      "ref": "pehahn/test-arrow-lib",
      "title": "test arrow lib",
      "source": "live",
      "kernel_id": "18208036"
    },
    {
      "ref": "thanish/data-aggregated",
      "title": "Data aggregated",
      "source": "live",
      "kernel_id": "18206976"
    },
    {
      "ref": "louise2001/rapids-stable-starter-notebook",
      "title": "[RAPIDS] [Stable] Starter Notebook",
      "source": "live",
      "kernel_id": "18205031"
    },
    {
      "ref": "faelk8/optiver-realized-volatility-eda",
      "title": "Optiver Realized Volatility - EDA",
      "source": "live",
      "kernel_id": "18204270"
    },
    {
      "ref": "aerdem4/accelerating-trading-on-gpu-via-rapids-wip",
      "title": "Accelerating Trading on GPU via RAPIDS (WIP)",
      "source": "live",
      "kernel_id": "18200158"
    },
    {
      "ref": "gpreda/optiver-volatility-quick-look-to-the-data",
      "title": "Optiver Volatility Quick Look to the Data",
      "source": "live",
      "kernel_id": "18199879"
    },
    {
      "ref": "sohommajumder21/optiver-competition-eda-predictions",
      "title": "Optiver competition - EDA + predictions ⚡",
      "source": "live",
      "kernel_id": "18189105"
    },
    {
      "ref": "chumajin/optiver-realized-eda-for-starter-english-version",
      "title": "Optiver Realized: EDA for starter(English version)",
      "source": "live",
      "kernel_id": "18187279"
    },
    {
      "ref": "ishandutta/v-2-indepth-book-eda-and-understanding",
      "title": "[V-2] InDepth Book EDA and Understanding",
      "source": "live",
      "kernel_id": "18185694"
    },
    {
      "ref": "msafi04/optiver-realised-volatility-visualization",
      "title": "Optiver Realised Volatility - Visualization",
      "source": "live",
      "kernel_id": "18184990"
    },
    {
      "ref": "anishjosh/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "18182703"
    },
    {
      "ref": "mayunnan/realized-volatility-prediction-code-template",
      "title": "Realized Volatility Prediction - Code Template",
      "source": "live",
      "kernel_id": "18179601"
    },
    {
      "ref": "jarupula/eda-optiver",
      "title": "[EDA] Optiver",
      "source": "live",
      "kernel_id": "18179269"
    },
    {
      "ref": "chaseos/parquet-patterns-for-loading-data",
      "title": "Parquet Patterns for Loading Data",
      "source": "live",
      "kernel_id": "18173548"
    },
    {
      "ref": "thanish/randomforest-starter-submission",
      "title": "RandomForest-Starter submission",
      "source": "live",
      "kernel_id": "18170686"
    },
    {
      "ref": "gogo827jz/inference-demo-notebook",
      "title": "Inference Demo Notebook",
      "source": "live",
      "kernel_id": "18169515"
    },
    {
      "ref": "kittlein/volatility-1d-cnn-in-r-keras",
      "title": "Volatility 1D CNN in R keras",
      "source": "live",
      "kernel_id": "18163504"
    },
    {
      "ref": "konradb/we-need-to-go-deeper-and-validate",
      "title": "We need to go deeper - and validate!",
      "source": "live",
      "kernel_id": "18162893"
    },
    {
      "ref": "mpwolke/qlattice-in-optiver-market-volatility",
      "title": "QLattice in Optiver Market Volatility",
      "source": "live",
      "kernel_id": "18162776"
    },
    {
      "ref": "piantic/starter-optiver-basic-eda-wip",
      "title": "[Starter] Optiver - Basic EDA + α 🔥 (WIP)",
      "source": "live",
      "kernel_id": "18159871"
    },
    {
      "ref": "haiyunhu/introduction-to-financial-concepts-and-data-hu",
      "title": "Introduction to financial concepts and data Hu",
      "source": "live",
      "kernel_id": "18159368"
    },
    {
      "ref": "paklong/proof-more-offers-lead-to-lower-stock-valuation",
      "title": "(Proof) More offers lead to lower stock valuation",
      "source": "live",
      "kernel_id": "18158774"
    },
    {
      "ref": "aerdem4/optiver-lofo-feature-importance",
      "title": "Optiver LOFO Feature Importance",
      "source": "live",
      "kernel_id": "18154895"
    },
    {
      "ref": "mrutyunjaybiswal/optiver-realized-eda-xgb-baseline-train",
      "title": "[Optiver Realized] EDA | XGB Baseline | Train",
      "source": "live",
      "kernel_id": "18154124"
    },
    {
      "ref": "docxian/optiver-realized-volatility-first-glance",
      "title": "Optiver Realized Volatility - First Glance",
      "source": "live",
      "kernel_id": "18153972"
    },
    {
      "ref": "kurianbenoy/optiver-realized-volatility-prediction-quick-eda",
      "title": " Optiver Realized Volatility Prediction -Quick EDA",
      "source": "live",
      "kernel_id": "18153053"
    },
    {
      "ref": "jaredsavage/optiver-analysis-with-r",
      "title": "Optiver analysis with R",
      "source": "live",
      "kernel_id": "18152801"
    },
    {
      "ref": "ishwor2048/optiver-realized-volatility-explore-prediction",
      "title": "Optiver Realized Volatility - Explore & Prediction",
      "source": "live",
      "kernel_id": "18152140"
    },
    {
      "ref": "tpmeli/insights-correlation-analysis-of-192-features",
      "title": "Insights + Correlation Analysis of 192 Features",
      "source": "live",
      "kernel_id": "18149389"
    },
    {
      "ref": "munumbutt/wip-eda-on-the-orderbook",
      "title": "(WIP) EDA on the Orderbook",
      "source": "live",
      "kernel_id": "18148740"
    },
    {
      "ref": "gunesevitan/optiver-realized-volatility-prediction-inference",
      "title": "Optiver Realized Volatility Prediction - Inference",
      "source": "live",
      "kernel_id": "18147288"
    },
    {
      "ref": "chumajin/optiver-realized-eda-for-starter-version",
      "title": "Optiver Realized : EDA for starter(日本語version)",
      "source": "live",
      "kernel_id": "18145811"
    },
    {
      "ref": "ksmcg90/optiver-basic-eda-w-stock-correlation",
      "title": "Optiver Basic EDA w Stock Correlation",
      "source": "live",
      "kernel_id": "18145532"
    },
    {
      "ref": "sohier/working-with-parquet",
      "title": "Working with Parquet",
      "source": "live",
      "kernel_id": "17595344"
    },
    {
      "ref": "jiashenliu/introduction-to-financial-concepts-and-data",
      "title": "Introduction to financial concepts and data",
      "source": "live",
      "kernel_id": "17588236"
    },
    {
      "ref": "vijayakishoredusi/my-first-submissions",
      "title": "",
      "source": "meta",
      "kernel_id": "10812442"
    },
    {
      "ref": "pavfedotov/time-series-analysis-nifty50-stationarity-adf",
      "title": "",
      "source": "meta",
      "kernel_id": "15961977"
    },
    {
      "ref": "rhythmcam/very-simple-join-how-to-merge-dataframe",
      "title": "",
      "source": "meta",
      "kernel_id": "17937180"
    },
    {
      "ref": "bextuychiev/advanced-time-series-analysis-decomposition",
      "title": "",
      "source": "meta",
      "kernel_id": "18552057"
    },
    {
      "ref": "bextuychiev/how-to-detect-white-noise-and-random-walks-in-ts",
      "title": "",
      "source": "meta",
      "kernel_id": "18616439"
    },
    {
      "ref": "h053473666/use-tensorflow-tpu-to-decode-npy-files",
      "title": "",
      "source": "meta",
      "kernel_id": "18349372"
    },
    {
      "ref": "hamidalikhan/optivervolitalitypredictions",
      "title": "",
      "source": "meta",
      "kernel_id": "19955548"
    },
    {
      "ref": "lildatascientist/multiclass-classification-from-scratch",
      "title": "",
      "source": "meta",
      "kernel_id": "19510228"
    },
    {
      "ref": "lildatascientist/importance-of-scaling-data",
      "title": "",
      "source": "meta",
      "kernel_id": "19470135"
    },
    {
      "ref": "lildatascientist/neural-network-from-scratch",
      "title": "",
      "source": "meta",
      "kernel_id": "19792433"
    },
    {
      "ref": "lildatascientist/decision-tree-and-random-forest-from-scratch",
      "title": "",
      "source": "meta",
      "kernel_id": "20036909"
    },
    {
      "ref": "lildatascientist/logistic-regression-from-scratch",
      "title": "",
      "source": "meta",
      "kernel_id": "20064853"
    },
    {
      "ref": "bansodesandeep/sentiment-analysis-support-vector-machine",
      "title": "",
      "source": "meta",
      "kernel_id": "29882142"
    }
  ],
  "errors": []
}