Methodology
How Cintra reaches conclusions and how users should interpret them.
Source hierarchy
- Regulators and government bodies
- Central banks
- Exchanges and official filings
- Audited company disclosures
- Multilateral institutions
- Academic research
- Established market-data providers
- Reputable financial media
- Industry research
- Social media only as a primary statement, never sole verification
Analysis process
- Data verification and timestamps
- Historical comparison
- Bull, base and bear scenarios
- Risk and contradiction analysis
- Forecast review and human approval before publication
- Conflict management and independence safeguards
Confidence labels
- High confidence
- Moderate confidence
- Low confidence
- Insufficient evidence
AI usage
AI may assist with summarisation, formatting, comparison and drafting. A human must approve final conclusions, risk statements, regulatory interpretation, high-impact forecasts and published corrections.
Corrections
Material errors are corrected with date, original error, correction and effect on analysis. We do not silently rewrite material mistakes.
