Market manipulation: An adversarial learning framework for detection and evasion

X Wang and MP Wellman 29th International Joint Conference on Artificial Intelligence, Special Track on AI in FinTech, pages 4626–4632, 2020. Abstract We propose an adversarial learning framework to capture the evolving game between a regulator…

Generating realistic stock market order streams

J Li, X Wang, Y Lin, A Sinha, and MP Wellman 34th AAAI Conference on Artificial Intelligence, pages 727-734, Feb 2020. Abstract We propose an approach to generate realistic and high-fidelity stock market data based on generative adversarial…
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Xintong Wang defends thesis proposal

(belated announcement) On 20 December 2018, Xintong Wang presented and successfully defended her thesis proposal: "Studies on the Computational Modeling and Design of Financial Markets". The dissertation committee comprises: Michael…

A Cloaking Mechanism to Mitigate Market Manipulation

X Wang, Y Vorobeychik, and MP Wellman 27th International Joint Conference on Artificial Intelligence, pages 541–547, July 2018. Abstract We propose a cloaking mechanism to deter spoofing, a form of manipulation in financial markets. The…

Spoofing the limit order book: An agent-based model

X Wang and MP Wellman 16th International Conference on Autonomous Agents and Multiagent Systems, pages 651–659, May 2017. Abstract We present an agent-based model of manipulating prices in financial markets through spoofing: submitting…
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Xintong Wang Passes Prelim

Xintong Wang passed her prelim exam, based on her directed study project: Spoofing the Limit Order Book: An Agent-Based Model. Congratulations, Xintong.