Data Competition
XForecast Challenge 2026
The XForecast Challenge is a financial forecasting competition designed to advance research in AI-driven financial prediction. Participants will develop models that forecast future market outcomes using real-world financial data. The challenge aims to establish a common benchmark for financial forecasting and foster collaboration between academia and industry.
Timeline
| Milestone | Date |
|---|---|
| Competition Launch | June 27, 2026 |
| Submission Deadline | July 20, 2026 |
| Code Review and Validation | July 21–26, 2026 |
| Winner Announcement | July 27, 2026 |
Challenge Organizers
Guiling (Grace) Wang
New Jersey Institute of Technology
Xin Xu
The Hong Kong Polytechnic University
Yongjae Lee
Ulsan National Institute of Science and Technology (UNIST)
Wonbin Ahn
LG AI Research
Jaehoon Lee
LG AI Research
Jun Seo
LG AI Research
Seunghan Lee
LG AI Research
Additional technical contributors from LG AI Research.
External Competition Site
Register, access the datasets, and submit your entries at the XForecast Challenge website: