GitHub / V-MalM / Stock-Clustering-and-Prediction

To build, train and test LSTM model to forecast next day 'Close' price and to create diverse stock portfolios using k-means clustering to detect patterns in stocks that move similarly with an underlying trend i.e., for a given period, how stocks trend together.To deploy our findings to an app along with an interactive dashboard to predict the next day ‘Close’ for any given stock.

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Topics: cluster-analysis, deep-learning, flask-application, keras-tensorflow, kmeans-clustering, lstm-neural-networks, moving-window, outlier-detection, pandas-datareader, time-series, unsupervised-machine-learning

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• Readme
• Dependencies