A professional-grade, AI-powered algorithmic trading platform with custodial banking, a visual strategy builder, and multi-venue execution capabilities (Crypto & MT5).
QuantumLeap AI Trader is a comprehensive, open-source platform designed to bring institutional-grade algorithmic trading tools to individual traders and developers. It moves beyond simple bot execution by offering a complete ecosystem for strategy creation, advanced backtesting, AI-driven market analysis, and multi-asset financial management.
Main Dashboard showing Portfolio Overview and Real-Time Market Data
QuantumLeap AI is more than just a trading bot; it's a complete financial command center.
| Feature | Description | Status |
|---|---|---|
| Multi-Venue Trading | Natively connect to and trade on both Cryptocurrency Exchanges (via CCXT) and MetaTrader 5 (MT5) accounts directly from the platform. | ✅ Complete |
| AI Strategy Engine | Deploy a suite of advanced, state-aware trading bots, including Smart Money Concepts (SMC), Volatility Squeeze, and AI-confirmed signals. | ✅ Complete |
| Visual Strategy Builder | A production-grade, drag-and-drop interface for creating custom trading strategies without writing a single line of code. Features interactive nodes for indicators, conditions, and actions. | ✅ Complete |
| Custodial Wallet System | A full-fledged internal banking system with an atomic ledger for managing balances across multiple currencies (BTC, ETH, USD, JPY, NGN). Supports deposits, withdrawals, and swaps. | ✅ Complete |
| Strategy Laboratory & Optimizer | A powerful backtesting engine that can run strategies against historical data from any connected venue (CCXT or MT5). Includes a genetic algorithm for optimizing strategy parameters. | ✅ Complete |
| Strategy Sensei (AI Chat) | An integrated AI assistant powered by Google Gemini that helps users build and understand trading strategies using natural language. | ✅ Complete |
| Real-Time Architecture | Built on an event-driven core with a centralized WebSocket Market Streamer for low-latency data and a real-time UI that updates instantly without refreshes. | ✅ Complete |
| Strategy Marketplace | A community hub where users can publish their successful strategies (both free and paid), and other users can subscribe to or clone them. | ✅ Complete |
| Desktop Application | A cross-platform Electron application (Windows & Linux) that bundles the entire stack into a single, high-performance, installable package. | ✅ Complete |
Gallery Images can be found here
The intuitive, node-based Visual Strategy Builder. |
The Strategy Lab, showing backtest optimization results and the AI Sensei. |
The unified Wallet Page, displaying both custodial and non-custodial (MT5) balances. |
The My Bots page for managing and deploying trading strategies. |
The unified Dashboard Page, displaying Market Analysis, Profile and Portfolio |
The My API Keys Developers can now use API Keys to control trades successfully. |
This project is a monolithic repository but follows a clean separation of concerns, making it highly maintainable and scalable.
| Component | Technology & Purpose |
|---|---|
| Backend | FastAPI (Python): High-performance, asynchronous API server. Handles all business logic, trading, and AI inference. |
| Frontend | React 18: Modern, component-based UI. Uses TailwindCSS for styling and Framer Motion for animations. |
| State Management | React Query (@tanstack/query) for server state (caching, refetching) & Redux Toolkit for complex UI state (like the Strategy Sensei chat). |
| Real-Time Communication | WebSockets: For pushing live market data, bot logs, and progress updates from the backend to the frontend instantly. |
| Database | SQLAlchemy 2.0 (Async) with SQLite for portability. The schema is designed to easily migrate to PostgreSQL for large-scale production. |
| Authentication | Firebase Authentication: Handles secure user sign-up and login. The backend uses JWTs for session management and role-based access control. |
| AI & ML | Hugging Face Transformers (FinBERT) for sentiment analysis. Google Gemini for the AI chat assistant. ONNX Runtime for loading pre-trained prediction models. |
| Desktop App | Electron: Wraps the React frontend and manages the local Python backend executable, creating a cross-platform (Windows/Linux) native application. |
| Packaging | Docker for server deployment (e.g., on Hugging Face Spaces) and PyInstaller for creating the desktop backend executable. |
- Node.js (v18.17+ or v20+)
- Python (v3.10 or v3.11)
- A Firebase project for authentication.
- API keys for Google Gemini, NewsAPI, and your chosen payment gateways.
# Navigate to the backend directory
cd backend
# Create a virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install all dependencies
pip install -r requirements.txt
# Create and populate your .env file with all required secrets
# (see .env.example)
# Run the server
uvicorn main:app --reloadThe backend will be live at http://localhost:8000.
# Navigate to the frontend directory in a new terminal
cd frontend
# Install all dependencies
npm install
# Run the React development server
npm startThe frontend will open at http://localhost:3000.
- Ensure both the backend and frontend servers are running as described above.
- Navigate to the
desktopdirectory in a new terminal. - Install dependencies:
npm install - Run the app:
npm start
This project is licensed under the MIT License - see the LICENSE file for details.
Aondover, Pascal Oryiman
- Portfolio: aondover-portfolio.vercel.app
- LinkedIn: linkedin.com/in/pascal-aondover
- Email: aondoverpascaloryiman@gmail.com