Editorial Principles

ReturnLab uses AI for research, drafting, translation, and editing. Some article cover images are also AI-generated illustrations, not photographs of the events described.

ReturnLab is responsible for publication and corrections. The byline identifies the producer; it does not imply review by a separate financial expert or independent human verification of every sentence.

Market news prioritizes company filings, earnings releases, and government or regulatory publications. Reliable reporting provides market reactions and additional context. Articles include source links so readers can inspect the main supporting material.

Our standard is to distinguish publication dates from event dates, preserve currencies, units, and accounting bases, and attribute company explanations and forecasts. Reported claims should be distinguished from confirmed facts; unverified claims should not be presented as established facts.

Calculation-led explainers state principal, period, return assumptions, and treatment of taxes and fees. The workflow checks results with ReturnLab calculators or separate calculation code. Where a public calculator reproduces the example, the article links to it.

Reported figures and hypothetical examples are kept distinct. Simulations do not predict or guarantee future returns. ReturnLab does not recommend buying or selling specific financial products.

The three editions use the same supporting material, preserving event dates and central facts while using natural language for each audience.

An explainer may use different example amounts or currencies for its audience. Each edition states its own inputs and follows the same mathematical principles.

AI-assisted research and validation can still leave factual, calculation, or translation errors. When an error is confirmed, we correct the affected content and related editions. Our policy is to explain and date changes that affect the conclusion.

Send corrections to returnlabnet@gmail.com. Include the page URL, the passage in question, and supporting material or calculation inputs to help us investigate.