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We have created a stock market analysis app in which we took top companies stocks such as amazon, tesla, apple, microsoft and compared their past stock market exchanges with each other.Installed yfinance which updates us with the current status of stocks.Used regression and classification algorithms to predict the future of these companies.
Stock market prediction on 5 italian companies using VAR model, OLS regressions and LSTM recurrent neural networks over data retrieved from Refinitiv Eikon
The prediction of the Microsoft stock value is addressed pursuing two distinct strategies: 1 starting from solely the company's stock data, 2 leveraging also the overall sentiment towards the company extracted from Twitter and the records related to the ongoing pandemic.
This repository contains my Social Networks Projects during University and the projects that I've implemented due to my interest in Social Networks. These projects include analysis of social networks like telegram and graph mining with NetworkX and Gephi and investigating the effect of social data on the stock market.
[Desktop Application] Stock Market Prediction Application with Interactive Curves and Interface with a feature to include user's intuition into the Prediction.(Markets : NSE, BSE, S&P500)