Hi everyone 👋 I'm the maker of HPSILab.

I built it because AI agents are great at searching and summarizing, but weak at the part that matters in markets: how likely, how risky, and what would prove the view wrong.

HPSILab gives an agent (or you, on the web) a quant research layer in one call: AI prediction with model consensus, IV radar, option pressure (Max Pain / gamma wall), Monte Carlo range, and a pre-trade risk scan.

Start free: watch 3 stocks for risk alerts, or connect the MCP server to Claude and try `analyze_stock` / `get_ai_prediction` on a ticker you follow.

I'd love specific feedback: Which ticker should we demo live here? And for agent builders — is MCP, REST, or the Python SDK your preferred way in?

🌐 https://hpsilab.com/register?invite=QZ9A8KPG

🤖 https://claude.ai/directory/hpsilab

🐍 https://pypi.org/project/hpsilab-mcp/