us-signal-autoresearch-optimizer

What problem does it solve?

Automate and stabilize the iterative optimization of US signal prompts so buy-side research can produce repeatable, testable, next-day actionable signals with reduced manual overhead.

Core Features & Use Cases

• Automated baseline/candidate evaluation loops that separate stock-specific alpha from macro narratives.
• Explicit timing and propagation stage notes to improve decision timing.
• Guardrails and canary checks to ensure accept/reject decisions remain robust and traceable.

Quick Start

Start with a baseline prompt, define a single hypothesis, and run three evaluation rounds.