MarketSense: AI-Powered Stock Market Analysis Platform

MarketSense is an advanced, open-source stock market analysis platform powered by AI and machine learning. It provides real-time insights, predictive analytics, intelligent recommendations, and a suite of trading simulation tools for both beginners and experienced traders.

Features

• AI Stock Analysis: Get predictive insights and recommendations for stocks using advanced AI models.
• Trading Simulator: Practice trading with virtual money using the paper trading module.
• Portfolio Management: Track your holdings, performance, and trade history.
• Watchlist: Add stocks to your watchlist and monitor their performance.
• Smart Price Alerts: Set up email alerts for target stock prices.
• Active Stocks & Market Data: View trending and active stocks in real time.
• Hold/Sell Advisory: Get expert advice on whether to hold or sell your stocks.
• Modern UI: Beautiful, responsive interface built with Next.js and Tailwind CSS.

Tech Stack

• Frontend: Next.js, React, Tailwind CSS, TypeScript
• Backend: FastAPI (Python)
• Machine Learning: Custom models for price prediction and recommendations
• Database: MongoDB
• Authentication: Local storage

Getting Started

Prerequisites

• Node.js (v18+ recommended)
• Python 3.8+
• npm or yarn

Setup

1. Clone the repository

git clone https://github.com/yourusername/marketsense.git
cd marketsense

2. Install Frontend Dependencies

cd frontend
npm install
# or
yarn install

3. Install Backend Dependencies

cd ../backend
pip install -r requirements.txt

4. Start the Backend Server

uvicorn main:app --reload

The backend will run on http://localhost:8000 by default.

5. Start the Frontend

cd ../frontend
npm run dev
# or
yarn dev

The frontend will run on http://localhost:3000.

Usage

• Open http://localhost:3000 in your browser.
• Register or log in to access trading and portfolio features.
• Explore stock analysis, trading simulator, watchlist, and more.

Security

This project uses the latest version of Next.js to ensure security. If you encounter any security warnings:

1. Update Next.js: npm install next@latest
2. Update dependencies: npm update
3. Check for vulnerabilities: npm audit

Contributing

Contributions are welcome! Please open issues or pull requests for bug fixes, features, or improvements.

1. Fork the repo
2. Create your feature branch (git checkout -b feature/your-feature)
3. Commit your changes (git commit -am 'Add new feature')
4. Push to the branch (git push origin feature/your-feature)
5. Open a pull request

Acknowledgements

• Next.js
• FastAPI
• Tailwind CSS
• React
• Vercel

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MarketSense: Empowering smarter trading decisions with AI.