High-Frequency-Trading-Model-with-IB
A Python-based high-frequency trading model using Interactive Brokers API for pairs trading and mean-reversion strategies.
What is High-Frequency-Trading-Model-with-IB?
High-Frequency-Trading-Model-with-IB is an open-source algorithmic trading system built in Python that connects to Interactive Brokers' API. It implements pairs trading and mean-reversion strategies to automate high-frequency trading decisions based on real-time market data. The model processes tick-level data to identify statistical arbitrage opportunities and executes trades automatically.
Quantitative traders, algorithmic trading enthusiasts, and developers interested in building automated trading systems using Python and Interactive Brokers. It's suited for those exploring high-frequency finance concepts and statistical arbitrage strategies.
It provides a complete, working example of a high-frequency trading model that is rare in open-source, offering a practical starting point for customization. The inclusion of Docker support allows for easy deployment and scalability in headless environments.
Overview
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Use Cases
Best For
- Learning algorithmic trading strategies with real broker integration
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