Editorial Policy
How content is created
All analysis pages on Aveluro are produced through an AI-assisted research pipeline. The system ingests news articles every five minutes from Tier-1 Vietnamese financial press — CafeF, Vietstock, VnEconomy, VnExpress, and VietnamNet. Each article is processed through a structured classification pipeline that extracts verifiable facts: event type, affected tickers, numerical magnitude, and source credibility. The AI does not generate opinions, predictions, or investment advice — it extracts observable facts from published sources.
Data sources and tiers
News sources are rated on a three-tier credibility scale. Tier 1 (CafeF, Vietstock, VnEconomy) represents Vietnam's leading financial publications with established editorial records and direct market-data sourcing. Tier 2 covers general-interest news outlets. Tier 3 includes blogs and informal channels. Source tier directly influences the market-impact score assigned to each article. Price and volume data is sourced from Vietnamese exchange feeds. Financial ratios are derived from company quarterly and annual filings.
Quality controls
Content must pass multiple quality gates before publication. Each news analysis page requires an identified event type, at least one affected ticker, a verifiable source URL and publication date, an investor takeaway summary, at least one market fact (impact score, numerical magnitude, or sentiment signal), and a minimum of 300 words of analysis. Articles that do not meet these thresholds are marked as noindex and excluded from search engine indexing — ads are not shown on these pages. Individual stock analysis pages require a minimum of five classified articles before they are included in the search engine index.
AI transparency
Aveluro uses artificial intelligence in its content creation process. The classification pipeline uses a large language model to extract structured facts from Vietnamese-language source articles. English and Mandarin analysis narratives are generated by AI from the extracted facts, price data, and historical context. The deterministic scoring formula is pure Python code — no AI judgment is involved. We explicitly label Aveluro as an AI-assisted research platform.
Editorial independence
Editorial content is independent of commercial relationships. Aveluro displays affiliate broker recommendations on its broker page and in guides, but affiliate partnerships do not influence news selection, impact scoring, or stock-level analysis. There is no sponsored content or paid placement in the classification pipeline.
Corrections and feedback
If a factual error is identified, the affected page is corrected or removed from the index. Systematic issues in the classification pipeline are fixed and back-filled as soon as they are identified. For corrections or feedback, contact us through the channels listed on the About page.
For technical details on the data pipeline, see the Methodology page. For a general overview of Aveluro, see the About page.
Information provided for educational purposes only. Past performance does not guarantee future results. Data sourced from public Vietnamese market feeds.
Last updated: 2026-06-06.