Editorial Standards

Byline + attribution

All content on the AI-in-Markets surface is published under the AI Fin Hub Research byline. Articles carry no individual author attribution and no personal opinions presented as advice. Readers evaluate the linked evidence and methodology.

Sourcing

• Primary sources only: SEC filings, exchange documentation, vendor whitepapers, peer-reviewed research, official product blogs.
• Every numeric claim links to its source inline, and to a methodology page for reproducibility.
• No claims derived from LLM output unless verifiable against a primary source.
• Sources are dated. Sources older than 18 months are flagged as 'archived' unless still authoritative.

Benchmarks

• Every benchmark publishes its methodology before the report: data collection, normalization, test environment.
• Raw data (CSV / JSON) is downloadable from every report page.
• Benchmarks are reproducible by a third party using the published methodology.
• Limitations and exclusions are stated prominently — not buried in the appendix.

Fact-checking + pre-publish gate

Before release, every article passes an automated lint layer that enforces:

• Citation floor

  ≥1 inline citation per 200 words

• Methodology link floor

  ≥1 methodology link per quantitative claim

• Synthetic-ticker enforcement

  Rejects real tickers in recommendation context

• Voice consistency

  Rejects first-person narration in article body

• Compliance-phrase block

  Rejects 'buy / sell / recommend' language

• Numeric-anchor audit

  Flags numbers without a primary-source citation

The first three articles in any new series and every quarterly benchmark release are additionally reviewed by an external German-qualified legal advisor for BaFin and EU compliance.

Conflict of interest

AI Fin Hub is a self-funded, independent publication. There are no active sponsors, affiliate links, or paid placements on the site today. Current state and the rules that will apply if that ever changes are documented at /sponsor-disclosure/. The publisher does not give investment advice, does not manage client funds, and does not trade on the basis of unpublished content.

Corrections

When a factual error is found, it is corrected inline, the article's "Last updated" timestamp is bumped, and a dated entry is added to the public corrections log. Material corrections are additionally flagged at the top of the affected article until 30 days have passed.

Scope

AI Fin Hub Research covers the intersection of artificial intelligence and financial markets — data pipelines, agents, backtesting, calibration, robustness, and the vendor landscape. Content is educational under the BaFin and EU regulatory framework and does not constitute investment advice.

Contact

Factual corrections, methodology disputes, and sponsor inquiries: see the contact details at /about/.