[![DOI](https://zenodo.org/badge/742607049.svg)](https://zenodo.org/doi/10.5281/zenodo.10498988) [![License](https://img.shields.io/badge/License-MIT-green.svg)](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/blob/master/LICENSE) [![Code Coverage](https://codecov.io/gh/NCSU-Fall-2022-SE-Project-Team-11/XpensAuditor---Group-11/branch/main/graphs/badge.svg)](https://codecov.io) ![GitHub contributors](https://img.shields.io/badge/Contributors-1-brightgreen) [![Documentation Status](https://readthedocs.org/projects/ansicolortags/badge/?version=latest)](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/edit/master/README.md) ![GitHub release (latest by date)](https://img.shields.io/github/v/release/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis) ![GitHub issues](https://img.shields.io/github/issues/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis) ![GitHub closed issues](https://img.shields.io/github/issues-closed/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis) [![GitHub Repo Size](https://img.shields.io/github/repo-size/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis.svg)](https://img.shields.io/github/repo-size/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis.svg) [![GitHub last commit](https://img.shields.io/github/last-commit/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis)](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/commits/master) ![GitHub language count](https://img.shields.io/github/languages/count/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis) [![Commit Acitivity](https://img.shields.io/github/commit-activity/m/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis)](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis) [![Code Size](https://img.shields.io/github/languages/code-size/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis)](mpp-backend) ![GitHub forks](https://img.shields.io/github/forks/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis?style=social) ![GitHub stars](https://img.shields.io/github/stars/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis?style=social) ![GitHub watchers](https://img.shields.io/github/watchers/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis?style=social) # 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
  1. System Description and Functions
  2. Built With
  3. Installation
  4. Authors
  5. Links
## System Description and Functions **Demo Video:**
[](https://www.youtube.com/watch?v=xnq7mBdJAJk "Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis")

**Screenshots:**
**Admin Creds:**
Username: admin
Email Address: stockpredictorapp@gmail.com
Password: Samplepass@123
There are two roles in the system: **Admin** and **User**.

Users can:
  1. Register and Login
  2. Check Real Time stock prices
  3. Read recent news about different stocks
  4. Currency Converter
  5. Edit or delete their own profile
  6. Educate the user about stocks
  7. Download list of stock tickers
  8. Predict Stock prices for the next 7 days for all NASDAQ and NSE stocks
Admin can:
  1. Create, Retrieve, Update Delete Users.
  2. Manually trigger emails.
  3. Register and Login
  4. Check Real Time stock prices
  5. Read recent news about different stocks
  6. Currency Converter
  7. Edit or delete their own profile
  8. Educate the user about stocks
  9. Download list of stock tickers
  10. Predict Stock prices for the next 7 days for all NASDAQ and NSE stocks
## Built With ![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white) ![Javascript](https://img.shields.io/badge/JavaScript-323330?style=for-the-badge&logo=javascript&logoColor=F7DF1E) ![django](https://img.shields.io/badge/Django-20232A?style=for-the-badge&logo=django&logoColor=white) ![nodejs](https://img.shields.io/badge/Node.js-43853D?style=for-the-badge&logo=node.js&logoColor=white) ![react](https://img.shields.io/badge/React-20232A?style=for-the-badge&logo=react&logoColor=61DAFB) ![html](https://img.shields.io/badge/HTML5-E34F26?style=for-the-badge&logo=html5&logoColor=white) ![css](https://img.shields.io/badge/CSS3-1572B6?style=for-the-badge&logo=css3&logoColor=white) ![bootstrap](https://img.shields.io/badge/Bootstrap-563D7C?style=for-the-badge&logo=bootstrap&logoColor=white) ![jquery](https://img.shields.io/badge/jQuery-0769AD?style=for-the-badge&logo=jquery&logoColor=white) ![wordpress](https://img.shields.io/badge/Wordpress-006699?style=for-the-badge&logo=wordpress&logoColor=white) ![Keras](https://img.shields.io/badge/Keras-red?style=for-the-badge&logo=keras&logoColor=white) ![Numpy](https://img.shields.io/badge/Numpy-blue?style=for-the-badge&logo=numpy&logoColor=white) ![pandas](https://img.shields.io/badge/Pandas-green?style=for-the-badge&logo=pandas&logoColor=white) ## Installation 1. Install XAMPP server 2. Download wordpress zip folder from this link. 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 4. Run ```pip install -r requirements.txt``` 5. Run ```python main.py``` to start server. 7. Go to ```localhost/wordpress``` to access the app. Find more screenshots in the screenshots folder Or click here ## Authors ### Kaushik Jadhav ## Links * [Issue tracker](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis/issues) * [Source code](https://github.com/kaushikjadhav01/Stock-Market-Prediction-Web-App-using-Machine-Learning-And-Sentiment-Analysis)