How DailyIQ handles sourcing, corrections, disclosure, and search quality controls for public market content.
Finance content carries real decision risk, so clarity and restraint matter. DailyIQ is designed as informational support, not return promises.
Editorial standards are built around transparency, update discipline, and clear limits on what the platform does and does not claim.
DailyIQ publishes market education, score methodology, and research workflows to help users understand what the platform is measuring. Content is for informational purposes only and is not investment advice or a recommendation to buy or sell any security.
Most Learning Center articles are written by Kunal Jha, the founder of DailyIQ. Kunal has been building algorithmic trading programs and investing his own money since the 10th grade, and he built the data pipelines, scoring engine, and site behind DailyIQ himself.
DailyIQ also works with several advisors who give feedback on the platform and its content. Kunal is not a licensed financial advisor, and DailyIQ does not provide personalized investment advice.
Educational and methodology pages are updated for clarity, accuracy, and practical usefulness. Macro pages are refreshed as release context changes.
If a page is stale or incomplete, it is revised or deprioritized for indexing until quality is restored.
DailyIQ content is educational and informational. It is not personalized investment, tax, or legal advice.
Signals are decision inputs. Users should validate key assumptions independently and size risk to their own constraints.
Correction requests and factual issues are triaged and addressed directly in the relevant page or framework section.
Search quality controls, including index gates and sitemap rules, are used to keep public coverage focused on stronger pages.
See how DailyIQ combines technical indicators, news sentiment, freshness checks, and editorial review to decide what gets surfaced and indexed.