FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains

Jiashuo Liu; Siyuan Chen; Zaiyuan Wang; Zhiyuan Zeng; Jiacheng Guo; Liang Hu; Lingyue Yin; Suozhi Huang; Wenxin Hao; Yang Yang; Zerui Cheng; Zixin Yao; Haoxin Liu; Jiayi Cheng; Yuzhen Li; Zezhong Ma; Bingjie Wang; Bingsen Qiu; Xiao Liu; Zeyang Zhang; Zijian Liu; Jinpeng Wang; Mingren Yin; Tianci He; Yali Liao; Yixiao Tian; Zhenwei Zhu; Anqi Dai; Ge Zhang; Jingkai Liu; Kaiyuan Zhang; Wenlong Wu; Xiang Gao; Xinjie Chen; Zhixin Yao; Zhoufutu Wen; B. Aditya Prakash; Jose Blanchet; Mengdi Wang; Nian Si; Wenhao Huang

arXiv · 2601.12259

FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains

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Abstract

Building upon FutureX, which established a live benchmark for general-purpose future prediction, this report introduces FutureX-Pro, including FutureX-Finance, FutureX-Retail, FutureX-PublicHealth, FutureX-NaturalDisaster, and FutureX-Search. These together form a specialized framework extending agentic future prediction to high-value vertical domains. While generalist agents demonstrate proficiency in open-domain search, their reliability in capital-intensive and safety-critical sectors remains under-explored. FutureX-Pro targets four economically and socially pivotal verticals: Finance, Retail, Public Health, and Natural Disaster. We benchmark agentic Large Language Models (LLMs) on entry-level yet foundational prediction tasks -- ranging from forecasting market indicators and supply chain demands to tracking epidemic trends and natural disasters. By adapting the contamination-free, live-evaluation pipeline of FutureX, we assess whether current State-of-the-Art (SOTA) agentic LLMs possess the domain grounding necessary for industrial deployment. Our findings reveal the performance gap between generalist reasoning and the precision required for high-value vertical applications.

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Jiashuo Liu, Siyuan Chen, Zaiyuan Wang, Zhiyuan Zeng, Jiacheng Guo, Liang Hu, Lingyue Yin, Suozhi Huang, Wenxin Hao, Yang Yang, Zerui Cheng, Zixin Yao, Haoxin Liu, Jiayi Cheng, Yuzhen Li, Zezhong Ma, Bingjie Wang, Bingsen Qiu, Xiao Liu, Zeyang Zhang, Zijian Liu, Jinpeng Wang, Mingren Yin, Tianci He, Yali Liao, Yixiao Tian, Zhenwei Zhu, Anqi Dai, Ge Zhang, Jingkai Liu, Kaiyuan Zhang, Wenlong Wu, Xiang Gao, Xinjie Chen, Zhixin Yao, Zhoufutu Wen, B. Aditya Prakash, Jose Blanchet, Mengdi Wang, Nian Si, Wenhao Huang. 2026-01-18. FutureX-Pro: Extending Future Prediction to High-Value Vertical Domains. https://arxiv.org/abs/2601.12259

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