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aifinhub

Publisher

About AI Fin Hub

Markets, meet large language models. AI Fin Hub is a small independent site about the two together. Calculators and playgrounds that run in a browser tab. Long-form articles with the math visible. The occasional dated benchmark.

Built for engineers and operators who want the methodology shown, not a hype curve. Tools link to the formulas they use. Articles link to primary sources where sources exist, and hedge where they don't. Corrections are dated and appended, never silently rewritten.

Tools

45

Articles

218

Glossary

30

Calc guides

45

What we publish

Five discoverable namespaces:

Tools

/#library

45 client-side calculators, comparators, playgrounds, directories, and generators. Nothing is uploaded.

Open

Research

/articles/

218 long-form guides and tutorials published under the AI Fin Hub Research byline.

Open

Benchmarks

/benchmarks/

Dated reports with open methodology. Three live releases so far; more when the data warrants.

Open

Glossary

/learn/

30 hand-authored term definitions across risk, backtesting, microstructure, and AI-in-markets — cross-linked to the tools that compute each concept.

Open

Calc guides

/calculator-guides/

45 step-by-step calculator guides — one per tool. Inputs, outputs, common scenarios, and FAQ structured for both readers and crawlers.

Open

Editorial stance

This publication documents methods and surfaces evidence. It does not reference personal trading, paper portfolios, or "what I did last quarter" narratives. Readers evaluate tools and research on their math and methodology, not the author's track record.

Reference points: Our World in Data · QuantPedia · Stack Overflow's Annual Developer Survey · Databento's research blog. Publications that lead with data, methodology, and reproducibility.

What we don't publish

  • ✕

    Investment advice

    Every tool and article is educational under the BaFin and EU regulatory framework. Nothing on this site is a recommendation to buy, sell, or hold any security.

  • ✕

    Real tickers in recommendation context

    SYNTHETIC_A / SYNTHETIC_B placeholders stand in. Real tickers only where structurally unavoidable, never with a directional call.

  • ✕

    Personalised output

    Tools compute results from the inputs you enter; nothing on this site profiles or recommends based on who you are.

How the site is built

  1. 01

    Client-side only

    Every tool runs in your browser. For BYO-key LLM tools the key stays in React state; it is never persisted, never sent anywhere except the provider's own API.

  2. 02

    Privacy-friendly analytics

    No cookies, no fingerprinting, no cross-site trackers. Aggregate metrics via Cloudflare's server-side edge analytics (no beacon).

  3. 03

    No signup

    Nothing on AI Fin Hub requires an account.

  4. 04

    Published methodology

    Every tool and quantitative article links to a methodology page with assumptions, sources, formulas, and limitations.

  5. 05

    Zero-backend

    Static Astro site on Cloudflare Pages. Everything interactive runs in the client.

  6. 06

    Agent-first

    Every tool has a machine-readable JSON contract + llms.txt; the site doubles as an LLM- and MCP-consumer-friendly surface.

Publication standards

Editorial
/editorial-standards/ — sourcing, fact-checking, conflict-of-interest policy.
Funding
/sponsor-disclosure/ — currently self-funded: zero sponsors, zero affiliate links, zero paid placements.
Corrections
/corrections/ — public, append-only. Last-updated dates bump on fixes.

Hub network

AI Fin Hub is one of four sibling publications sharing a design system and editorial standards.

Contact + legal

Corrections, sponsors, legal

Details at /contact/. Agents: /for-agents/. Legal: /impressum/. Operated from the EU under BaFin + EU framework.