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

5 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2026

History Is Not Enough: An Adaptive Dataflow System for Financial Time-Series Synthesis

Haochong Xia, Yao Long Teng, Regan Tan +3

In quantitative finance, the gap between training and real-world performance-driven by concept drift and distributional non-stationarity-remains a critical obstacle for building re…

cs.LG2026

Bayesian Robust Financial Trading with Adversarial Synthetic Market Data

Haochong Xia, Simin Li, Ruixiao Xu +7

Algorithmic trading relies on machine learning models to make trading decisions. Despite strong in-sample performance, these models often degrade when confronted with evolving real…

cs.LG2025

FineFT: Efficient and Risk-Aware Ensemble Reinforcement Learning for Futures Trading

Molei Qin, Xinyu Cai, Yewen Li +5

Futures are contracts obligating the exchange of an asset at a predetermined date and price, notable for their high leverage and liquidity and, therefore, thrive in the Crypto mark…

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…

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…

cs.LG2023★ 2 cited

Market-GAN: Adding Control to Financial Market Data Generation with Semantic Context

Haochong Xia, Shuo Sun, Xinrun Wang +1

Financial simulators play an important role in enhancing forecasting accuracy, managing risks, and fostering strategic financial decision-making. Despite the development of financi…