ResearchBenchmarksTime series forecasting on SSE Composite Index (test)Follow0.0108MAECTLNET0.0106080.0119040.01320.014496Apr 18, 2026Evaluation ResultsMethodMethodLinksMAER²CTLNETParameters=102,153, Tr...Parameters=102,153, Train Time=97.58s2026.040.010897.1LSTMParameters=36,481, Tra...Parameters=36,481, Train Time=38.23s2026.040.013296.2CNN-LSTMParameters=67,393, Tra...Parameters=67,393, Train Time=37.17s2026.040.013895.9TCLNETParameters=67,887, Tra...Parameters=67,887, Train Time=73.77s2026.040.015693.5