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
RepositoryStats indexes 609,425 repositories, of these kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis is ranked #71,463 (88th percentile) for total stargazers, and #76,168 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #11,429/122,950.
kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis has 3 open pull requests on Github, 1 pull request has been merged over the lifetime of the repository.
Github issues are enabled, there are 22 open issues and 6 closed issues.
There have been 1 release, the latest one was published on 2024-01-18 (about a year ago) with the name v1.1.0.
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15 commits on the default branch (master) since jan '22
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The only known language in this repository is Python
updated: 2025-01-31 @ 08:46am, id: 272013415 / R_kgDOEDaYZw