kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall
This web application helps individual investors and traders forecast stock prices and receive recommendations. You input a stock ticker from NASDAQ or NSE, and it outputs predictions for the next seven days, along with a recommendation on whether the price is likely to rise or fall, based on both price trends and social media sentiment. It's designed for anyone managing their own stock portfolio or making short-term trading decisions.
874 stars. No commits in the last 6 months.
Use this if you want to get a quick seven-day stock price forecast and a sentiment-driven recommendation for NASDAQ or NSE stocks to inform your trading or investment decisions.
Not ideal if you need long-term investment analysis, highly detailed financial reports, or predictions for markets other than NASDAQ or NSE.
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Python
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MIT
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Feb 19, 2024
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