ResearchBenchmarksTime Series Forecasting on SSE Composite Index50 (test)Follow0.0083MAECTLNET0.0080160.0099330.011850.013767Apr 18, 2026Evaluation ResultsMethodMethodLinksMAER²CTLNETParameters=102,153, Tr...Parameters=102,153, Train Time=97.58s2026.040.008397.1CNN-LSTMParameters=67,393, Tra...Parameters=67,393, Train Time=37.17s2026.040.008497LSTMParameters=36,481, Tra...Parameters=36,481, Train Time=38.23s2026.040.010196.2TCLNETParameters=67,887, Tra...Parameters=67,887, Train Time=73.77s2026.040.015490.6