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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
kaushikjadhav01
kaushikjadhav01
Maintainer
890 stars
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Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis repository preview
About this project
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. Maintained by kaushikjadhav01 on GitHub, where it has earned 890 stars from the community.
It's actively developed around alphavantage, arima, flask, and is a solid reference for anyone building with these tools.
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npm install Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis
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Python100%
Last updated2 years ago
LicenseMIT
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