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Predictive Analytics for Stock Market Trends: A Comparative Study of SARIMA and LSTM Architectures for NIFTY Index Forecasting

The results support the broader view that nonlinear, feature-rich deep-learning models tend to dominate linear statistical models during structural market disruption, while the confounding effects of the unequal input sets and the atypical test window are discussed explicitly as limitations.