A comprehensive AI-powered trading and research platform with TradingView-style UI, featuring real-time market data, AI copilot, RAG-powered insights, and backtesting capabilities.
Live app: https://quanttrade.us/
- 🌍 Global Monitor — Real-time geopolitical intelligence with 3D globe visualization, AI threat classification, and ticker impact correlation (NEW!)
- Symbol Analysis with AI — Real-time charts, indicators, and AI-powered explanations
- Earnings & Filings Deep Dive — RAG-powered analysis of SEC filings and earnings calls
- Personal Watchlist — Portfolio-aware AI insights and risk monitoring
- Strategy Backtesting — Rule-based strategy testing with AI explanations
- Risk Analysis — Comprehensive risk scoring and factor analysis
┌─────────────┐
│ Frontend │ Next.js with TradingView-style charts
│ (Web App) │
└──────┬──────┘
│
┌──────▼──────────────────┐
│ API Gateway/Backend │ FastAPI REST API
└──────┬──────────────────┘
│
┌───┴──────────────────────────────┐
│ │
┌──▼──────────┐ ┌─────────▼────────┐
│ Data │ │ RAG/Copilot │
│ Services │ │ Service │
│ │ │ │
│ - Market │ │ - Embeddings │
│ Data │ │ - Vector Store │
│ - News │ │ - LLM Agent │
│ - Filings │ │ - Tool Calling │
└─────────────┘ └──────────────────┘
│
┌──────▼──────────────────┐
│ Storage Layer │
│ │
│ - PostgreSQL (OHLCV) │
│ - Vector DB (RAG) │
│ - Object Storage │
└────────────────────────┘
Project structure:
Finance/
├── backend/ # FastAPI backend
│ ├── app/
│ │ ├── api/ # API routes (auth, symbols, prices, chat, backtest, etc.)
│ │ ├── services/ # Business logic (RAG, embeddings, data fetchers)
│ │ ├── models/ # SQLAlchemy models
│ │ ├── db/ # Database setup
│ │ └── tasks/ # Celery background jobs
│ └── scripts/ # Data sync & DB init scripts
├── frontend/ # Next.js (App Router) frontend
│ └── src/
│ ├── app/ # Pages (research, watchlist, backtest, markets, etc.)
│ ├── components/ # UI components, charts, panels
│ ├── contexts/ # Auth context
│ ├── hooks/ # Realtime quote, news hooks
│ └── lib/ # API client, auth, store
└── docs/ # Additional documentation
| Layer | Technologies |
|---|---|
| Backend | Python, FastAPI, SQLAlchemy, PostgreSQL, Celery, Redis |
| Frontend | Next.js 16, React 18, TypeScript, Tailwind CSS, TradingView Lightweight Charts, Zustand, TanStack Query |
| AI/ML | OpenAI/Anthropic API, LangChain, Chroma/Pinecone (vector store) |
| Data | yfinance, Finnhub, Finviz, SEC EDGAR API |
| DevOps | Docker, GitHub Actions, Neon (PostgreSQL) |
- Python 3.11 (project is tested and deployed with 3.11.x; newer Python versions like 3.14 often lack compatible wheels for key deps such as psycopg2, pandas, and torch)
- Node.js 18+
- PostgreSQL (or use Neon for hosted Postgres)
- Redis (for Celery background jobs)
# Optional: run enhanced setup (sync symbols, etc.)
./setup_enhanced.sh
# Start API server
uvicorn app.main:app --reloadFrom project root you can use Docker:
docker-compose upSee docs/QUICK_START.md and docs/INSTALLATION_EXPLAINED.md for detailed setup and env vars.
Home Page
Research Page
Real time Market Page
Real time News (as per stock)
Ideas-lab
Backtest
System Settings & Preference
- Global Monitor — Real-time geopolitical intelligence (NEW!)
- Quick Start Guide — Get running in 15 minutes
- Implementation Guide — Architecture & deployment
- Quick Start — Fast setup and key endpoints
- Architecture — System design
- Tech Stack — Stack details
- Neon Setup — PostgreSQL with Neon
- Installation — Full installation guide
MIT