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mraduls129 / repository
This project is designed to send email alerts to users when a stock from NIFTY experiences a significant drop in price. Built with HTML, CSS, JavaScript, Node.js, Express, and MongoDB, It uses web scraping and Nodemailer to notify users.
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This is a project that sends email notifications to users when a stock from NIFTY crashes. The project leverages a range of modern technologies, including HTML, CSS, JavaScript, Node.js, Express, and MongoDB.The project is powered by Nodemailer, a versatile email-sending library that makes it easy to keep users informed about market movements in real time. The project is able to deliver a seamless user experience and help users stay informed and up-to-date on critical market changes.
Email notification: The project notifies users via email when a stock from the NIFTY 50 crashes.
Automated web scraping: The project uses Puppeteer, a Node.js library, to automatically scrape the 52-week low stocks from the Groww website.
Regular updates: The project uses node-cron to periodically check the stock prices and send notifications when a stock crashes.
Real-time data: The project uses web scraping to extract stock details directly from the website, ensuring that the data is up-to-date and accurate.
Scalable and extensible: The project is built on Node.js and uses Express and Mongoose, making it easy to scale and add new features as needed.
To run this project on your local machine, you need to install Node.js. Use the latest LTS version available in the download section. Follow the below instructions to run the project on your local machine:
Clone this repository.
Navigate to the project directory.
Run npm install to install all the dependencies.
Create a .env file in the root directory and set the following variables:
Run npm run devStart to start the server.
Go to http://localhost:3000/ in your web browser.
User authentication: Currently, the project sends email notifications to all the users in the database. To make it more secure, user authentication can be added and allow only registered users to receive the notifications.
Support for more stocks: Currently, the project scrapes the data of 52-week low stocks from only one website. It can be enhanced to scrape data from multiple websites and add more stocks to the notification list.
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To contribute to the project, you can open a pull request with your changes.
If you have any questions or issues, feel free to reach out to me at mraduls129@gmail.com.
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