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HPSILab

Quant finance MCP for AI agents, now in the Claude Directory

Fintech
Investing
Artificial Intelligence
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New: HPSILab is now listed in the Claude Directory, so you can connect it to Claude in one click. AI agents get price predictions, Monte Carlo simulation, options IV radar and pre-trade risk checks via MCP, a Python SDK and the web platform.

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Hi everyone 👋

Meet HPSILab — quantitative finance built for AI agents.

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

🤖 Claude Directory: https://claude.ai/directory/hpsilab

🐍 Python SDK / MCP: https://pypi.org/project/hpsilab-mcp/

Less time searching. More time understanding.

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About HPSILab on Product Hunt

“Quant finance MCP for AI agents, now in the Claude Directory”

HPSILab was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #445 on the daily leaderboard. New: HPSILab is now listed in the Claude Directory, so you can connect it to Claude in one click. AI agents get price predictions, Monte Carlo simulation, options IV radar and pre-trade risk checks via MCP, a Python SDK and the web platform.

HPSILab was featured in Fintech (47.7k followers), Investing (26.8k followers) and Artificial Intelligence (482.5k followers) on Product Hunt. Together, these topics include over 164.3k products, making this a competitive space to launch in.

Who hunted HPSILab?

HPSILab was hunted by hpsilab.com. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how HPSILab stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.