JunjiaZhang
@JunjiaZhangMaxLanguage Breakdown
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T-Shaped Developer
T-shapedDeep in Python with broad versatility
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This project builds a long-only stock selection model targeting excess return over the CSI500 index benchmark. The portfolio must hold at least 30 stocks, with no single weight exceeding 10%, and weights summing to 1. Performance is evaluated over two holding windows: Window 1 (3 trading days, May 6–8) and Window 2 (5 trading days, May 11–15).
This is a repo for my NYUSH DURF program 2026 Summer: Improving Flow Matching under Small Data via Curvature Regularization.
Understanding Deep Learning - Simon J.D. Prince
Junjia Zhang's personal website is <https://junjiazhangmax.github.io/>
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