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**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
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# Note
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### Wordpress file has been moved from the repository due to exceeding quota of Github LFS. Download it now from <a href="https://drive.google.com/file/d/1aNrD43MVGyV3P2mg0JJ_JJSrM7G6G7gF/view?usp=sharing">here</a>
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### Wordpress file has been moved from the repository due to exceeding quota of Github LFS. Download it now from <a href="https://drive.google.com/file/d/1q1kdNBQyQTIIq9OuMuYBUgD3fni-oJQp/view?usp=sharing">here</a>
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# Screenshots
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<img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/banner.png">
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<li>Open your web browser and go to <b>http://localhost/www</b> and click on the wordpress folders to access the web app</li>
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</ol>
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<br>
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<b>Video of setup and demo is available at: </b>
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<b>Video of setup and demo is available <a href="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/demo.mp4">here</a> </b>
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<br>
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## Admin Credentails
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**Username:** admin
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<br>
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**Email:** stockmarketpred@gmail.com
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<br>
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**Password:** Samplepass@123
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# Authors

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