Show HN: I built an AI agent that helps me invest

A while back, I built a simple app to track stocks. It pulled market data and generated daily reports based on my risk tolerance. Basically a personal investment assistant. It worked well enough that I kept going.

Now, the same framework helps me with real estate: comparing neighborhoods, checking flood risk, weather patterns, school zones, old vs. new builds, etc. It’s a messy, multi-variable decision—which turns out to be a great use case for AI agents.

Instead of ChatGPT or Grok 4, I use mcp-agent, which lets me build a persistent, multi-agent system that pulls live data, remembers my preferences, and improves over time.

Key pieces: • Orchestrator: picks the right agent or tool for the job • EvaluatorOptimizer: rates and refines the results until they’re high quality • Elicitation: adds a human-in-the-loop when needed • MCP server: exposes everything via API so I can use it in Streamlit, CLI, or anywhere • Memory: stores preferences and outcomes for personalization

It’s modular, model-agnostic (works with GPT-4 or local models via Ollama), and shareable.

Let me know what you all think!

Show HN: I built an AI agent that helps me invest
github.com

Happy to elaborate on how ARC OS works — It parses subjective input into logic trees with assumptions, conflict checks, bias flags, and reasoning trails.

It’s symbolic only (no LLMs), designed for alignment auditing, law/policy frameworks, and decision explainability.

If anyone wants an example, I can post a breakdown here.

Sounds interesting -- can you share some real examples?

In context of investing, what does "It worked well enough" translate to?

I'd be curious also.

I think others are asking more about the real-world investment value of this, not the technical implementation.

What actual trades were made by the user/creator? What was the ROI? How did profitability compare to their returns before using this tool?

With today's LLM's it's easy for anyone to generate a 20-page "report" with a analysis about investments. But a report that, when followed, actually gives you above-average returns? No one has shown evidence of that yet.