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Developer Open-Sources Local AI Trading Research Workstation Built on Docker

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A solo developer has released TradingSpy, an open-source AI-powered trading research workstation that runs entirely on Docker. The project was created after its developer grew frustrated with the infrastructure overhead of managing Jupyter notebooks and custom scripts for strategy backtesting. Commercial alternatives were ruled out due to high costs, proprietary cloud lock-in, and data privacy concerns around strategy harvesting. TradingSpy supports multiple LLM providers, market intelligence tools, and can be set up locally with three terminal commands. The developer has made the project freely available on GitHub, emphasizing it is intended for educational and research purposes only, not financial advice.

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