Predicting stock prices from historical stock data is a rising trading stratedy used by investors in stock market. Leveraging the power of public sentiment about a company, a rough approxiamate of future stock movements can be captured. Architecture used : Attention-CNN and BiLSTM followed by XGBoost ensemble learning
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