Market Regime Detection Sprint
Classify market regimes (bull, bear, high-vol, low-vol, crisis) from obfuscated multi-asset data. This competition focuses on unsupervised and semi-supervised learning approaches to regime identification, with scoring based on out-of-sample regime prediction accuracy and transition detection.
Prize Pool
$10,000
Participants
189
Timeline
Nov 1 — Jan 1, 2026
Competition Ended
January 1, 2026
Classify market regimes (bull, bear, high-vol, low-vol, crisis) from obfuscated multi-asset data. This competition focuses on unsupervised and semi-supervised learning approaches to regime identification, with scoring based on out-of-sample regime prediction accuracy and transition detection.
Columns
75
Obfuscated features
Rows
250,000
Training observations
Scoring
Composite (ARI + Transition F1)
Primary evaluation metric
Runtime Limit
30 minutes per evaluation
Memory Limit
8GB RAM
Max Submissions
100 total