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KaggleTabularIntermediateRegistration closed

Jane Street Real-Time Market Data Forecasting

A intermediate tabular competition requiring roughly 15–45 hours for an end-to-end practice run.

Difficulty
Intermediate
Estimated effort
15–45 hours
Registration deadline
Jan 6, 2025
Compute
CPU only
OverviewPreparationSource

Overview

Who this competition fits

Intermediate learners who want to deepen their skills in general machine learning. Good for building practical experience with real-world data.

Read the original official blurb
Predict financial market responders using real-world data.

Preparation

From registration to a first submission

  1. 01

    Python

  2. 02

    scikit-learn or similar ML library

  3. 03

    data analysis with pandas

Before you commit: Requires solid machine learning fundamentals and good experimental methodology.

Source

How this page was assembled

Competition information is structured from the official page. Scores are platform estimates for decision support; official rules take precedence.

Official competition page
Kaggle
Last checked
Oct 14, 2024

Entry assessment

est.
36

Prepare before joining

Overall fit estimate

Beginner fit36/100
Learning value69/100

Confirm eligibility and time commitment before moving into formal preparation.

18+ · Location rules

Open official pageSign in to saveOpen guide

Timeline

Registration opens
Oct 14, 2024
Registration deadline
Jan 6, 2025
Submission deadline
Jul 12, 2025
Competition ends
Jul 12, 2025

Data and review state

Separate what is confirmed from what still needs review. Official rules and deadlines win.

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Source page verifiedMetric confirmedReviewed
Source published
Oct 14, 2024
Source created
Aug 29, 2024
Published on this site
Jul 18, 2026