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

Note

Wordpress file has been moved from the repository due to exceeding quota of Github LFS. Download it now from here

Screenshots

Find more screenshots in the screenshots folder Or click here

File and Directory Structure

screenshots - Screenshots of Web App
static - static files of flask app: css, images, js, etc.
templates - html files
Tweets.py - structure of Tweets for sentiment Analysis
constants.py - config file for app with Twitter API keys and other details
main.py - main machine learning module

Technologies Used

Wordpress

Flask

Tensorflow

Keras

Yahoo Finance

Alphavantage

Scikit-Learn

Tweepy

Python

HTML

Javascript

How to Install and Use

Python 3.10.6 is required for the python packages to install correctly

Clone the repo. Download and install XAMPP server from https://www.apachefriends.org/download.html and start Apache and MySql servers
Open phpmyadmin by visiting http://localhost/phpmyadmin/ and go to User Accounts -> Add a User, give username and password as admin and click on Check All next to Global Privileges and hit Go
Next, create a new database named wordpress
Select the wordpress database and click on Import and select the wordpress.sql file from the repo.
Download my wordpress website zip file from here
Extract the above zip file in xampp/htdocs folder
Go to command prompt, change directory to directory of repository and type pip install -r requirements.txt
To run app, type in command prompt, python main.py
Open your web browser and go to http://localhost/www and click on the wordpress folders to access the web app
Wordpress Admin Panel is available at: http://localhost/www/wordpress-5.6.2/wordpress/wp-admin

Video of setup and demo is available here

Admin Credentails

Username: admin
Email: [email protected]
Password: Samplepass@123

Authors

Kaushik Jadhav

Github:https://github.com/kaushikjadhav01
Medium:https://medium.com/@kaushikjadhav01
LinkedIn:https://www.linkedin.com/in/kaushikjadhav01/
Portfolio:http://kaushikjadhav01.github.io/

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