This is the Linux app named AIQuant whose latest release can be downloaded as v0.0.1sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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AIQuant
DESCRIPTION
ai_quant_trade is an AI-powered, one-stop open-source platform for quantitative trading—ranging from learning and simulation to actual trading. It consolidates stock trading knowledge, strategy examples, factor discovery, traditional rules-based strategies, various machine learning and deep learning methods, reinforcement learning, graph neural networks, high-frequency trading, C++ deployment, and Jupyter Notebook examples for practical hands-on use.
Features
- Extensive knowledge base delivered via Markdown and Jupyter Notebooks (AI foundations, trading concepts, etc.)
- Multiple strategy examples including traditional, machine learning, deep learning, reinforcement learning, graph neural networks, and high-frequency trading
- Integrated factor mining and quantitative analytics in Python
- Support for C++ deployment and live trading simulations
- Tutorials and hands-on examples for real-world strategy implementation
- Designed for both beginners and advanced users to learn, simulate, and deploy strategies
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ai-quant-trade.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
