🚀 𝗫𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 @ 𝗞𝗗𝗗 𝟮𝟬𝟮𝟲 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗗𝗮𝘆

[Yongjae Lee]

🚀 𝗫𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 @ 𝗞𝗗𝗗 𝟮𝟬𝟮𝟲 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗗𝗮𝘆

𝘾𝙖𝙣 𝘼𝙄 𝙢𝙤𝙙𝙚𝙡𝙨 𝙚𝙛𝙛𝙚𝙘𝙩𝙞𝙫𝙚𝙡𝙮 𝙘𝙤𝙢𝙗𝙞𝙣𝙚 𝙛𝙞𝙣𝙖𝙣𝙘𝙞𝙖𝙡 𝙩𝙞𝙢𝙚-𝙨𝙚𝙧𝙞𝙚𝙨 𝙙𝙖𝙩𝙖 𝙬𝙞𝙩𝙝 𝙣𝙚𝙬𝙨 𝙩𝙤 𝙛𝙤𝙧𝙚𝙘𝙖𝙨𝙩 𝙛𝙪𝙩𝙪𝙧𝙚 𝙨𝙩𝙤𝙘𝙠 𝙥𝙧𝙞𝙘𝙚𝙨?

I am excited to share the 𝗫𝗙𝗼𝗿𝗲𝗰𝗮𝘀𝘁 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲, a competition on multimodal, news-grounded financial forecasting, hosted as part of 𝗞𝗗𝗗 𝗙𝗶𝗻𝗮𝗻𝗰𝗲 𝗗𝗮𝘆 𝟮𝟬𝟮𝟲.

The challenge aims to bring together researchers and practitioners working at the intersection of financial AI, time-series forecasting, natural language processing, and multimodal learning.

Participants are asked to predict the closing prices of the top 100 stocks four weeks ahead, using historical price data and associated financial news from the #FinTexTS dataset.

🏆 Total prize pool: $5,000
🥇 1st place: $3,000
🥈 2nd place: $1,500
🥉 3rd place: $500

📅 Submission deadline: July 26, 2026, 23:59 AoE
📢 Winner announcement: August 2, 2026
📍 KDD Finance Day: August 10, 2026, Jeju, Korea

🔗 Challenge details: https://xforecast.github.io/
🔗 Join the competition on Kaggle: https://www.kaggle.com/competitions/xforecast-challenge-kdd/
🔗 KDD Finance Day: https://kddfinanceday2026.github.io/

We welcome participation from researchers, students, data scientists, and industry practitioners interested in developing and evaluating new approaches to realistic financial forecasting.

The challenge is organized by:
• Wonbin Ahn, LG AI Research
• Jaehoon Lee, LG AI Research
• Jun Seo, LG AI Research
• Seunghan Lee, LG AI Research
• Guiling "Grace" Wang, New Jersey Institute of Technology
• XIN XU, The Hong Kong Polytechnic University
• Yongjae Lee, Ulsan National Institute of Science and Technology

Please share this opportunity with anyone who may be interested. We look forward to seeing your approaches!