Stock-Market-Prediction-Web-App-using-Machine-Learning

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.

<!-- TABLE OF CONTENTS --> <details> <summary>Table of Contents</summary> <ol> <li><a href="#system-description-and-functions">System Description and Functions</a></li> <li><a href="#built-with">Built With</a></li> <li><a href="#installation">Installation</a></li> <li><a href="#authors">Authors</a></li> <li><a href="#links">Links</a></li> </ol> </details>

System Description and Functions

Demo Video: <br/> <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/banner.png"><br/><br/> Screenshots: <br/> <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/banner.png"> <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/banner2.PNG"> <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/11-resuts.png" width="750"> <img src="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/screenshots/wp-admin.PNG" width="750">

Admin Creds: <br/> Username: admin <br/> Email Address: stockpredictorapp@gmail.com <br/> Password: Samplepass@123 <br/>

There are two roles in the system: Admin and User.<br/><br/> Users can:<br/>

<ol> <li>Register and Login </li> <li>Check Real Time stock prices</li> <li>Read recent news about different stocks</li> <li>Currency Converter</li> <li>Edit or delete their own profile</li> <li>Educate the user about stocks</li> <li>Download list of stock tickers</li> <li>Predict Stock prices for the next 7 days for all NASDAQ and NSE stocks</li> </ol>

Admin can:<br/>

<ol> <li>Create, Retrieve, Update Delete Users.</li> <li>Manually trigger emails.</li> <li>Register and Login </li> <li>Check Real Time stock prices</li> <li>Read recent news about different stocks</li> <li>Currency Converter</li> <li>Edit or delete their own profile</li> <li>Educate the user about stocks</li> <li>Download list of stock tickers</li> <li>Predict Stock prices for the next 7 days for all NASDAQ and NSE stocks</li> </ol>

Built With

Installation

1. Install XAMPP server
2. Download wordpress zip folder from <a href="https://drive.google.com/file/d/1J753gY0Nv6HGSkPngSxrogNghDQnoIlk/view?usp=sharing">this link</a>.
3. Extract the downloaded zip into htdocs folder of XAMPP.
4. Open the wp-config.php file from the extracted folder and add your phpmyadmin username and password.
5. Go to phpmyadmin, create a new database called wordpress.
6. Select this database, go to Operations tab and Import the wordpress.sql file into this created databse.
7. Clone the repo, cd into it
8. Run pip install -r requirements.txt
9. Run python main.py to start server.
10. Go to localhost/wordpress to access the app.

Find more screenshots in the <b>screenshots folder</b> Or <a href="https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/tree/master/screenshots">click here</a>

Authors

Kaushik Jadhav

<ul> <li>Github: https://github.com/kaushikjadhav01</li> <li>Medium: https://medium.com/@kaushikjadhav01</li> <li>LinkedIn: https://www.linkedin.com/in/kaushikjadhav01/</li> <li>Portfolio: http://kajadhav.me/</li> <li>Linked In: https://www.linkedin.com/in/kajadhav/ <li>Dev.to: https://dev.to/kaushikjadhav01 <li>Codesignal: https://app.codesignal.com/profile/kaushik_j_vtc <li>Google Scholar: https://scholar.google.com/citations?user=iRYcFi0AAAAJ <li>Daily.dev: https://app.daily.dev/kaushikjadhav01 <li>Google devs: https://developers.google.com/profile/u/kaushikjadhav01 <li>Stack Overflow: https://stackoverflow.com/users/21890981/kaushik-jadhav </ul>

Links

• Issue tracker
• Source code