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HPSILab

Stock & options risk analytics for AI agents

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HPSILab is quantitative finance built for AI agents. One call gives next-day up probability, IV structure, Max Pain & gamma walls, a Monte Carlo range, and a pre-trade risk scan. Less time searching. More time understanding. Research only.

PH · launched Nov 11, 2026 · 2 upvotes (top 19%) · 0 views

Niche: stock and market analysis software · 355 launches, 42 in the last 7 days ▲ +11% · Explore this niche →

Category and tags

  • Fintech
  • Analytics & BI
  • B2B
  • AI-native
  • Commercial product
  • Developer Tools
  • Artificial Intelligence
  • GitHub
  • Finance

Visit website ↗ Source listing ↗

Could you build this?

Partial The API wrapper, UI, and report formatting are vibe-codeable, but the core value depends on reliable options chain and market data feeds and calibrated predictive models, which a solo builder can't produce from scratch.

What it would actually take: Build a FastAPI or Node service that pulls options chains and price history from a paid market-data vendor (e.g., Polygon, Cboe, or ORATS-style providers). Compute implied-volatility surfaces, max pain, and gamma exposure with standard formulas, and run Monte Carlo simulations for ranges. The hard parts are licensed data costs and validating any next-day direction signal, which needs quant research and backtesting expertise.

Competitors

Other products that read as similar to this one : 200 launches clear the similarity bar, closest 8 shown.

Attention rank: #19 of 201 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 370 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.