Wang, Xinrun

A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Zhang, W., Zhao, L., Xia, H., Sun, S., Sun, J., Qin, M., Li, X., Zhao, Y., Zhao, Y., Cai, X., et al. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 74

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

Qin, M., Sun, S., Zhang, W., Xia, H., Wang, X., & An, B. (2023) · arXiv

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 29

Mastering Stock Markets with Efficient Mixture of Diversified Trading Experts

Sun, S., Wang, X., Xue, W., Lou, X., & An, B. (2023) · Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Stock Market Forecasting MethodsFinancial Markets and Investment Strategies

Cited by 16

Cradle: Empowering Foundation Agents Towards General Computer Control

Tan, W., Zhang, W., Xu, X., Xia, H., Ding, Z., Li, B., Zhou, B., Yue, J., Jiang, J., Li, Y., et al. (2024) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 3

FinMaster: A Holistic Benchmark for Mastering Full-Pipeline Financial Workflows with LLMs

Jiang, J., Yang, C., Cui, A., Jin, S., Wang, R., Li, B., Huang, X., Sun, D., & Wang, X. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 0