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
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.
Admin Creds:
Username: admin
Email Address: [email protected]
Password: Samplepass@123
There are two roles in the system: Admin and User.
Users can:
Admin can:
htdocs
folder of XAMPP.wp-config.php
file from the extracted folder and add your phpmyadmin username and password.wordpress
.wordpress.sql
file into this created databse.pip install -r requirements.txt
python main.py
to start server.localhost/wordpress
to access the app.Find more screenshots in the screenshots folder Or click here