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Long-term Time Series Forecasting on Exchange (MSE, MAE, DTW, TDI)

0.347MSELightGTS-mini
0.320240.500870.68150.86213Aug 7, 2025Sep 24, 2025Nov 12, 2025Dec 30, 2025Feb 17, 2026Apr 6, 2026May 25, 2026

Evaluation results

MethodLinks
LightGTS-mini2025.080.3470.396——
FlowStateModel parameters=10.6M, Context length=4k, Zero-shot=true2025.080.3490.396——
STaTAveraged forecasting horizons T={96, 192, 336, 720}2026.050.3570.4076.3890.191
Time-LLMAveraged forecasting horizons T={96, 192, 336, 720}2026.050.3920.4178.5230.242
DLinearAveraged forecasting horizons T={96, 192, 336, 720}2026.050.3950.428.5920.245
TimesNetAveraged forecasting horizons T={96, 192, 336, 720}2026.050.4150.4417.5990.254
PatchTSTAveraged forecasting horizons T={96, 192, 336, 720}2026.050.460.468.4240.254
TimeCMAAveraged forecasting horizons T={96, 192, 336, 720}2026.050.480.4716.9790.249
GPT4TSAveraged forecasting horizons T={96, 192, 336, 720}2026.050.4820.4619.6430.26
Time-VLMAveraged forecasting horizons T={96, 192, 336, 720}2026.050.4870.4739.0720.277
StationaryAveraged forecasting horizons T={96, 192, 336, 720}2026.050.9640.65612.6660.223
FEDformerAveraged forecasting horizons T={96, 192, 336, 720}2026.051.0160.76114.930.167