activity
20232026
most citedA Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

5 citations · 14 across the 6 of their papers we have counts for

collaborators

8 papers

cs.AI2026

FilingLoop: Evaluating and Evolving LLM Agents for Corporate Disclosure Review and Revision

Wentao Zhang, Yilei Zhao, Guangyan Gan +2

Public disclosure repositories such as SEC EDGAR support informed investment through web access to corporate filings. Supporting their review with language model agents requires di…

cs.LG2026

Unlocking the Forecasting Economy: A Suite of Datasets for the Full Lifecycle of Prediction Market: [Experiments \& Analysis]

Huaiyu Jia, Luofeng Zhou, Wentao Zhang +3

Prediction markets are markets for trading claims on universal future events (e.g., presidential elections). Fueled by a meteoric surge with over $50 billion trading volume, they…

cs.AI2025

FinWorld: An All-in-One Open-Source Platform for End-to-End Financial AI Research and Deployment

Wentao Zhang, Yilei Zhao, Chuqiao Zong +2

Financial AI holds great promise for transforming modern finance, with the potential to support a wide range of tasks such as market forecasting, portfolio management, quantitative…

cs.AI2024★ 3 cited

Cradle: Empowering Foundation Agents Towards General Computer Control

Weihao Tan, Wentao Zhang, Xinrun Xu +25

Despite the success in specific scenarios, existing foundation agents still struggle to generalize across various virtual scenarios, mainly due to the dramatically different encaps…

q-fin.TR2024★ 5 cited

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

Wentao Zhang, Lingxuan Zhao, Haochong Xia +10

Financial trading is a crucial component of the markets, informed by a multimodal information landscape encompassing news, prices, and Kline charts, and encompasses diverse tasks s…

cs.LG2024★ 2 cited

True Knowledge Comes from Practice: Aligning LLMs with Embodied Environments via Reinforcement Learning

Weihao Tan, Wentao Zhang, Shanqi Liu +3

Despite the impressive performance across numerous tasks, large language models (LLMs) often fail in solving simple decision-making tasks due to the misalignment of the knowledge i…

q-fin.PM2023

Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools

Wentao Zhang, Yilei Zhao, Shuo Sun +5

Portfolio management (PM) is a fundamental financial trading task, which explores the optimal periodical reallocation of capitals into different stocks to pursue long-term profits.…

q-fin.TR2023★ 4 cited

EarnHFT: Efficient Hierarchical Reinforcement Learning for High Frequency Trading

Molei Qin, Shuo Sun, Wentao Zhang +3

High-frequency trading (HFT) uses computer algorithms to make trading decisions in short time scales (e.g., second-level), which is widely used in the Cryptocurrency (Crypto) marke…