pythonpapertime-seriestransformerafter-work
Introducing A Time Series is Worth 64 Words: Long-term Forecasting with Transformers (PatchTST) for after-work quants
Nie, Nguyen, Sinthong and Kalagnanam (2022) treat each univariate channel as patches (ViT-style) sharing one Transformer. Beats FEDformer/Autoformer/Informer and often DLinear on ETT/Traffic/Electricity/Weather. Plain-language intro. Not investment advice.