Classic RNNs struggle to retain information over long sequences due to the vanishing gradient problem.LSTMs are powerful but computationally expensive and require significant memory.GRUs may not perform as well as LSTMs when dealing with extremely long or complex dependencies.Even the best models, like LSTMs, cannot anticipate unexpected events in the stock market.