Someone built a personal Bloomberg terminal, and it runs on your own machine.
Having explored Vibe-Trading myself, I can say it's a game changer for independent traders and quantitative analysts. Unlike traditional Bloomberg terminals requiring expensive subscriptions and proprietary hardware, this open-source solution runs on your own machine, giving you flexibility and full control. Its natural language interface allows users to pose complex trading questions and receive insightful, data-driven responses. The platform connects to multiple free market data sources such as Yahoo, EastMoney, and Tushare, enabling comprehensive coverage of markets including A-shares, US and Hong Kong equities, futures, and crypto. One of the most impressive features is its ability to backtest trading strategies—like moving averages on cryptocurrencies—using historical data. It also analyzes your own trading behavior by parsing broker export files from platforms like Robinhood and Futu. This shadow account functionality creates a strategy profile from your real trades, highlighting overtrading tendencies or missed signals for improved decision-making. Integrating advanced AI elements, Vibe-Trading supports multi-agent research workflows and can operate through WebSocket or messaging apps such as Telegram or Slack, allowing you to monitor research outputs wherever you are. Installation is straightforward with Python 3.11+ and can be done via pip or Docker. It supports local operation without requiring LLM API keys by running with local language models like Ollama. In my experience, setting up Vibe-Trading took under 10 minutes, and the daily use feels like having a personal, AI-powered Bloomberg terminal that preserves privacy and adheres to your command. If you're keen on quantitative finance, algorithmic trading, or just want to explore market data analysis deeply without the cost, this tool is worth a shot."










































































































