Welcome to HPSILab
Hi friends
Meet HPSILab — quantitative finance built for AI agents.
HPSILab is an AI-native quantitative finance platform built for AI agents and developers.
With HPSILab, you can:
📈 Analyze global stocks with quantitative models
📊 Explore options flow and implied volatility
🎲 Run Monte Carlo simulations and risk analysis
🤖 Integrate financial intelligence via MCP, Python SDK, and APIs
📄 Generate structured research reports automatically
Market coverage: US · Japan · Hong Kong · China A-shares · Singapore
Get Started
🌐 Platform: hpsilab.com/register?invite=QZ9A8KPG
🤖 Claude Directory: claude.ai/directory/hpsilab
🐍 Python SDK / MCP: pypi.org/project/hpsilab-mcp/
```bash
pip install -U hpsilab-mcp
```
Explore HPSILab, try it in your AI workflows, and let us know what you think. Feedback and collaboration are always welcome!
Less time searching. More time understanding.
For research purposes only. Not investment advice.
Comments2
Agents don't pay the bill, so I'd lead with the person running the agent. "Quantitative finance built for AI agents" tells a trader what HPSILab plugs into, but "less time searching, more time understanding" tells them what they get, and that second line is the one that will make them sign up.
You’re right, Ryan. Previously, we focused too much on explaining the technology itself, rather than clearly communicating the value it offers to users. We’ve revised it. Thanks for your candid feedback—it’s been incredibly helpful. 🙏
2 comments
Agents don't pay the bill, so I'd lead with the person running the agent. "Quantitative finance built for AI agents" tells a trader what HPSILab plugs into, but "less time searching, more time understanding" tells them what they get, and that second line is the one that will make them sign up.
You’re right, Ryan. Previously, we focused too much on explaining the technology itself, rather than clearly communicating the value it offers to users. We’ve revised it. Thanks for your candid feedback—it’s been incredibly helpful. 🙏