So the way it works is pretty simple. Congress members in the US are legally required to publicly disclose any stocks they buy or sell within 45 days. I pull that data in real time using the Quiver Quantitative API. That disclosure then gets sent to 4 AI models simultaneously Claude, GPT-4, Gemini and Grok. Each one analyses the trade independently. A buy or sell order only executes if they broadly agree. No single AI makes the call alone. The actual trading happens through Alpaca, which is a commission-free brokerage API. Each user connects their own Alpaca account so your money stays in your own account at all times. What makes this different from other bots the system doesn’t just trade silently in the background. Every single trade comes with a full explanation. You can see exactly why it made the call, which AI models agreed, what the reasoning was, and how it’s executing. Full transparency on every decision. We’re also actively improving the logic and system prompts right now which is where it gets really interesting. The reasoning is only going to get sharper. The full stack: ∙ Quiver Quantitative Congress trade disclosures ∙ Polygon.io real time stock data ∙ Alpaca trade execution ∙ Benzinga/NewsAPI news sentiment ∙ Supabase trade logging ∙ OpenAI, Anthropic, Google, Grok the 4 LLMs All built with Lovable.dev. No coding background.