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Repository Details
With the help of ML models, the future price of stocks is predicted in regular time intervals, and on that basis, this app suggests a portfolio of stocks to invest in, given the user's requirements. Stock data is loaded using libraries such as investpy, and the models run on it. On that basis, this app suggests the best stocks to invest in. The information that the app uses is mainly based on historical data of the stock, and the volume of it. The user interface is made using Flask, and it emphasizes user-friendliness.
