eisenjimmy/quant

Quant is an open-source desktop application for tracking stocks and ETFs, built to run on macOS and Windows. It brings together a watchlist, news tied to what you hold, upcoming earnings, annotated price charts, and a decision journal, all without requiring a paid market data subscription. The app is not built around cloud AI. By default it uses public market data sources and its own deterministic signal analysis. You can optionally connect a private local llama.cpp model, or link an OpenAI, Gemini, Grok, or Claude account for more advanced analysis, but none of this is required to use the core features, and no cloud API key is needed for the default experience. Inside the app you can expand an ETF into the stocks it holds, read a market wide view called Market Pulse that scores overall conditions using price trends, breadth, and volatility stability, and follow six benchmark assets, including SPY and QQQ, for momentum and risk signals. Charts include moving averages, support and resistance levels, and toggles for macro data such as jobs figures, inflation, oil prices, and the VIX volatility index. A built in screener scans a bundled list of U.S. stocks for technical setups such as cup bases, volume surges, and moving average alignment. Before acting on any signal, Quant shows numbered evidence with its source and a quality rating, and lets you save a decision journal entry recording your reasoning, the catalyst you are watching, and the point at which you would change your mind. An optional AI assistant, called Quant AI, can run in a fully deterministic mode, through a local model, or through a connected cloud provider, with separate analysis and checking steps built in. To try it, download a prebuilt release for macOS or Windows from the project releases page, or run it from source with Node.js 20 or newer using git clone, npm install, and npm start. The project is released under the MIT license, so it can be used, changed, and redistributed freely with attribution.