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Academic Papers · 1arXiv q-fin live 0 · desk corpus 1
arXiv · arXiv · 2024

Trading through Earnings Seasons using Self-Supervised Contrastive Representation Learning

Earnings release is a key economic event in the financial markets and crucial for predicting stock movements. Earnings data gives a glimpse into how a company is doing financially and can hint at where its stock might go next. However, the irregularity of its release cycle makes it a challenge to incorporate this data in a medium-frequency algorithmic trading model and the usefulness of this data fades fast after it

Zhengxin Joseph Ye, Bjoern Schuller
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