A modern, scalable, and secure trading platform built with Next.js, Python (Django + FastAPI), and PostgreSQL, designed for real-time market data, interactive trading, and portfolio management.
This project consists of:
- Frontend: Responsive UI for users to trade, view market data, and manage portfolios.
- Backend: Handles authentication, order execution, real-time data, and integrates with external trading platforms.
- Database: Stores users, accounts, trades, orders, market data, and portfolio holdings reliably.
Framework: Next.js with TypeScriptX (TSX) Routing: TanStack Router for type-safe client-side navigation Styling: Tailwind CSS + shadcn/ui components
Key Features:
- Real-time market data display
- User authentication & authorization
- Interactive trading interface
- Portfolio tracking & performance analysis
- Fully responsive design
Setup Example: npx create-next-app@latest client
cd client npx shadcn-ui init
Language: Python Frameworks: Django & FastAPI Description: Django manages core application logic, user accounts, admin panel, and security. FastAPI provides high-performance, asynchronous APIs for real-time trading features.
Backend Services:
- User authentication & session management
- Order processing & execution
- Market data aggregation & distribution
- Account management & transaction history
- Integration with external trading platforms
Setup Example: python3 -m venv venv source venv/bin/activate pip install django djangorestframework fastapi uvicorn psycopg2 django-admin startproject core uvicorn main:app --reload
System: PostgreSQL Description: Robust relational database for storing trading data with strong concurrency handling and JSON support.
Schema (Conceptual):
- Users
- Accounts
- Orders
- Trades
- Market Data
- Portfolio Holdings
trading-project/
│── client/ # Frontend (Next.js + TSX + Tailwind + shadcn)
│── backend/
│ ├── core/ # Django project
│ ├── fastapi_app/ # FastAPI services
│── database/
│ ├── migrations/ # DB schema & migrations
│── docs/ # Documentation
│── docker-compose.yml # Container orchestration
│── README.md
This README provides a complete overview of the Trading Project, including architecture, technology stack, setup instructions, API structure, deployment, and roadmap.

