Trade Alert 📈

A real-time financial news analysis system that uses AI to provide actionable stock market insights. The system scrapes news from multiple sources, analyzes its potential impact on stocks using LLM, and sends timely notifications to users.

🌟 Features

• Real-time news scraping from 8 major financial news portals
• AI-powered news analysis using Groq's LLM APIs
• Automated stock impact prediction
• Real-time notifications via Firebase Cloud Messaging
• Email alerts through Nodemailer
• Responsive web interface built with MERN stack
• Docker containerization for scalable deployment

Built after designing

Checkout the initial figma design

🎥 Demo

Watch the demo video

📸 Screenshots of pages not in Demo

Home Page

Responsive Design

Notifications

🏗️ Architecture

🚀 Getting Started

Prerequisites

• Node.js 16+
• MongoDB
• Docker & Docker Compose
• Firebase account
• Groq API key

How to run the project

1. Clone the repository

   git clone https://github.com/harshsharma20503/trade-alert.git
   cd trade-alert

2. Install dependencies

   # Install backend dependencies
   cd backend
   npm install
   
   # Install frontend dependencies
   cd ../frontend
   npm install
   
   # Install news-bots dependencies
   cd ../news-bots
   npm install
   
   # Install notification-service dependencies
   cd ../notification-service
   npm install

3. Set up environment variables

   • Create .env in all the folders and set the credentials as given the .env.example

4. Create a mongodb database and insert the trade-alert-companies.json data into a companies collection.

5. Get your firebase service account and save it in notification-system folder and name it as firebase-service-account-config.json.

6. Run the project

   • See the scripts from the package.json to run the project with appropiate commands.

👥 Team

• Harsh Sharma (@harshsharma20503)
• Paakhi Maheshwari (@paakhim10)
• Deepti Jain (@deepti1028)