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deshpandenu / Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.
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Data source #3

Closed Sorna210 closed 4 years ago

Sorna210 commented 4 years ago

Where are the sources for the data mentioned in the sentimental analysis component?Can you please give a brief on that?

deshpandenu commented 4 years ago

You may have to look at datasources like Kaggle or open stock data sources and scrape data or use an API. I used both. I think something similar to this is there somewhere on Kaggle.