QuantLink AI-Driven Trading Tools

QuantLink AI-Driven Trading Tools is our suite of modular, extensible Python utilities for DeFi market data aggregation, smart order routing, and automated execution strategies (TWAP, DCA, Arbitrage) with built-in risk management.

---

Features

3.3 AI-Driven Trading Tools (Basic Version)

3.3.1 Market Data Aggregation

• Real-time Price Feeds Fetch live price data from DEX aggregators (1inch, OpenOcean, etc.).
• Liquidity Monitoring
  Track pool liquidities across chains and venues.
• Volatility Calculation Compute historical volatility metrics on assets.
• Arbitrage Detection Identify cross-exchange and cross-chain arbitrage opportunities.

3.3.2 Smart Order Routing (IOR)

• Path Finding Algorithm
  Determine optimal multi-hop swap routes.
• Gas Optimization
  Minimize on-chain transaction costs.
• Slippage Minimization Avoid price impact by splitting and routing orders intelligently.
• Multi-hop Routing
  Support complex, multi-step swap paths for deeper liquidity.

3.3.3 Automated Trading Strategies (Basic)

• TWAP Strategy Execute large orders at the Time-Weighted Average Price.
• Arbitrage Bot Continuously scan for and execute profitable arbitrage trades.
• DCA Strategy
  Implement Dollar Cost Averaging over configurable intervals.
• Risk Management
  Built-in stop-loss, take-profit, and dynamic position sizing.

---

Quick Start

Clone and Install

git clone https://github.com/Quant-link/ai-driven-trading-tools.git
cd ai-driven-trading-tools
pip install -r requirements.txt

Configuration

Copy and edit the sample config:

cp config.sample.yaml config.yaml

• price_sources: DEX/APIs to query
• routing: IOR parameters (max_hops, gas_limit)
• strategies: TWAP, DCA, Arbitrage settings
• risk: stop_loss_pct, take_profit_pct, position_size

Command-Line Usage

PYTHONPATH=. python3 <path_to_script>/<script_name>.py

Development

Environment Setup

# Create a virtual environment
python -m venv .venv
source .venv/bin/activate

# Install dependencies
pip install -r requirements-dev.txt

Testing & Quality

# Run all tests
pytest

# Linting
flake8 .

# Formatting
black .

# Type checking
mypy .

📄 License

This project is licensed under the MIT License. See the LICENSE file for details.

---