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In Trading, Machine Learning Benchmarks Don’t Track What You Care About | Hudson River Trading

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Doing good work at HRT means constantly learning and improving. As part of that ongoing education, many people at HRT follow academic research – whether to keep up with the latest developments in their field of study, or to keep abreast of developments that can be useful to our work. To share and discuss new research with each other, we host a biweekly Paper Survey Club, where HRTers (or external guest speakers) present what they are excited about to their peers. Sometimes, these are papers about quantitative finance (for example, derivative pricing theory or portfolio construction), but for members of the HRT AI Lab we are particularly interested in papers in the fields of machine learning, optimization, and optimal control.

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