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LSTM-ARIMA with attention mechanisms and multiplicative decomposition for sophisticated stock forecasting.
pip install neuralstockprophet
PyPI declares 19 unique dependency rules for this release. Environment markers are shown when supplied by the project.
neuralstockprophet publishes 1 wheel and 1 source archive for version 0.0.3. Wheel platform tags: any.
Declared Python classifiers: 3.10, 3.11, 3.12, 3.8, 3.9.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .