We built OpenChart because we wanted Claude and Codex to interface with the markets, like most of humans do, through charts rather than through CLIs.
With your existing AI plans, your agent can work directly with your charts: annotate a setup, write an indicator, investigate a market move, or create an alert. The chart, conversation, and research live in the same workspace.
OpenChart alerts on any market move: draw any shape on a chart and attach an alert. When price crosses it, the alert triggers your agent to investigate the move and save the research in your workspace. The agents can work with charts, indicators, and alerts. Custom indicators and alert conditions are written in [Tea](https://github.com/longsurf-ai/tea), a programming language we built for the markets.
We believe software shouldn’t impose artificial friction on your workflow. OpenChart is built on that belief with no software cap. The source code is publicly available, and you can use free market data from day one. We also offer optional paid cloud market data for lower latency.
Everything is private. Your charts, research, and indicator code are stored on your own computer, with the app's backend running locally too.
We currently support only macOS on Apple Silicon, but we're expanding to more platforms.
Website: https://openchart.co/
Download: https://downloads.longsurf.ai/openchart/darwin/arm64/OpenCha...
We built OpenChart because we want to explore how assets can be co-manages by agents and humans. I'd especially like to hear how you are using agents to help with your investment journey.
If you like what we're building, a star on GitHub would mean a lot to us: https://github.com/longsurf-ai/openchart