Frequently Asked Questions

AI Fin Hub covers the intersection of AI and financial markets — client-side tools (calculators, comparators, playgrounds, directories, generators), long-form research articles, and quarterly benchmark reports. Every tool runs in your browser. Every quantitative claim links to its source.

No. AI Fin Hub is a publisher. All content is educational under the BaFin and EU regulatory framework. Nothing on the site constitutes investment advice, a recommendation to buy or sell any security, or personalized portfolio guidance. For regulated services, use an authorized investment firm.

No account. No API key for most tools (calculators, comparators, directory, generators, game). Playground tools that call an LLM API — Agent Skill Tester, Prompt Regression Tester, Hallucination Detector — ask you to paste your own API key. Your key stays in your browser's React state; it's never persisted or sent anywhere except the provider's API endpoint.

Nowhere. Every tool that accepts file input (Backtest Overfitting Score, Risk-Adjusted Returns, Walk-Forward Validator, Order Book Replay) parses and processes the file entirely in your browser. Nothing is uploaded to a server. You can verify by disabling network access after loading the page — the tools still work.

All 101 legacy FIRE, expat, freelancer, and life-transition calculators remain live at /personal-finance/*. URLs migrated with 301 redirects in April 2026 when the site repositioned toward AI in markets. The legacy surface is still indexed and accessible via the footer.

Articles are published under the AI Fin Hub Research byline rather than individual author pages. Readers evaluate claims on the cited sources and the linked methodology, not the author's personal brand. Every factual claim links to a primary source or a methodology page.

AI Fin Hub is currently independent and ad-free. No sponsors, no affiliate links, no paid placements today. No subscriptions, no paid products, no managed funds. If any of that ever changes, the specific relationship will be disclosed at /sponsor-disclosure/ before content goes live — see that page for the full policy that would apply.

Every tool, comparator, and benchmark publishes its methodology at /methodology/{slug}/ — assumptions, data sources, formulas, limitations, changelog. Raw data is downloadable where applicable. Rankings are deterministic functions of the published methodology and can be reproduced independently. Corrections are logged publicly at /corrections/.

Content (articles, definitions, methodology pages) is CC-BY-4.0 when you attribute and link back. Code snippets shown inline are MIT-licensed. Tool embedding (iframes) is permitted; direct API scraping is rate-limited via Cloudflare. Mirror-republishing of full articles is not permitted — link to the canonical URL instead.

No. The publication model is one-way: we publish articles, you read them when you visit. If a newsletter or syndicated feed launches in the future, it will be announced on this page first.

Yes — the publication operates under the education-only framing explicitly permitted by BaFin finfluencer guidance. We do not give specific buy/sell recommendations, we disclose sponsorships, we keep an impressum, and we don't offer regulated services to clients. See /articles/bafin-eu-guide-retail-ai-traders/ for the full regulatory context.

Submit via the contact details on /about/. Substantiated reports are acknowledged within 5 business days. Material corrections are fixed inline, the 'Last updated' timestamp is bumped, and a dated entry lands in the public log at /corrections/.

No community infrastructure at this time. The publication model is one-way: we publish, readers read. If you want community signal around the topic, r/algotrading, r/ClaudeAI, and various Discord servers for quant dev communities are active.

No committed cadence. Content ships when the underlying methodology is dated, reproducible, and reviewed. No tool ships without a methodology page. No article ships without sources and a TL;DR. See /editorial-standards/ for the full workflow.

Three things. (1) We don't pretend LLMs are oracles — every article about LLM trading research is explicit about what they can and can't do. (2) We publish methodology for every quantitative claim so readers can reproduce the work. (3) We don't take personal positions; we're a publisher, not a creator channel. Most 'AI finance' sites are grifter-adjacent or promotional for a single platform.