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How to turn a plain-language watch rule into a Tea monitor with Openchart

Describe a market condition to your agent and get a Tea monitor that checks incoming data and investigates when it fires.

  • Money
  • Intermediate
  • 1 hour
  • From the README
  • Any agent

Who it is forAn investor with a specific rule in mind, such as a volume or price pattern, who does not want to write monitoring code.

The problemWatching for a specific market condition across assets is hard to keep up with by eye.

The outcomeA Tea monitor that evaluates incoming data for your condition and runs an investigation when it fires.

What you need first

  • macOS on Apple Silicon for the packaged Desktop app, or Node.js 24, npm 11.11.1, Bun 1.4.2, and Just for a source build
  • An account with your agent provider (Claude, Codex, or Gemini models) to power the agent features
  • Optional: OpenChart Cloud market data, which is priced separately
  • Git, for cloning the repository in the source build path

Steps

  1. Run just install --frozen-lockfile from the cloned Openchart folder to install dependencies and build Tea.
  2. Run just desktop to start the app.
  3. Describe in plain words the condition you want to watch, and let your agent build the Tea monitor.
  4. Confirm the monitor is set to evaluate incoming data and investigate when the condition fires.

Prompt for your agent

In the openchart repo, create a Tea monitor that watches for <condition> on <symbol> and investigates when it fires. Expected output: a monitor definition that evaluates incoming data and triggers an investigation. Verify by checking that the monitor compiles and that the condition matches the rule I described.

Caveat. The README does not document the monitor file format or how Tea monitors are deployed, so the agent should read the Tea documentation before relying on its output.

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