Summary
This is a signal tracking pattern for monitoring how investment theses evolve as new market data comes in. It's built around an agentic workflow where you research a signal, analyze it to generate an initial investment thesis, then continuously update it as facts change. The core logic compares new information against your existing thesis to decide if confidence should go up, down, or if the signal is outright falsified. Right now it's not a standalone tool but rather a pattern extracted from a larger FinAgent implementation, so you'll be looking at the fin_agent.py source to see how it actually works. Useful if you're building systematic trading systems that need to maintain living, breathing investment theses rather than one-off analysis.
Install to Claude Code
npx -y skills add rkiding/awesome-finance-skills --skill alphaear-signal-tracker --agent claude-codeInstalls into .claude/skills of the current project.
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
Files
SKILL.md
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Featured
Keep your Mac awake while Claude Code and 40+ AI agents run. Sleeps when they're idle.
One time payment $9 →Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
