Trust and transparency
Editorial and sourcing policy
AlphaVue publishes AI-assisted stock research for education and due diligence. This policy explains who is responsible for it, which sources we prefer, and how corrections are handled.
Editorial responsibility
Public articles and research pages are published by the AlphaVue Research Editorial Team. AI systems may collect, structure, compare, and summarize evidence. The team remains responsible for page selection, source review, labeling, and corrections.
Source hierarchy
We prefer primary sources such as SEC filings, issuer investor-relations releases, earnings materials, and clearly identified market-data providers. Secondary reporting may add context, but it should not replace an available primary source for a material claim.
Evidence and uncertainty
Research pages distinguish verified public evidence, live or delayed market data, demonstrations, and generated analysis. Estimates, scenarios, and model conclusions are labeled as uncertain and should be checked against current information.
AI limitations
AI can miss new events, misread context, repeat source errors, or sound more certain than the evidence supports. AlphaVue does not present an AI output as a guarantee, a personalized recommendation, or a substitute for independent judgment.
Updates and corrections
Pages show review or freshness information where available. Material factual errors are corrected when identified. Readers can report an issue by email with the page URL and the supporting source.
Conflicts and commercial content
Subscription prompts do not determine a research conclusion. Demonstration data and commercial calls to action are labeled separately from verified public research.