DailyIQ Methodology
How DailyIQ builds technical, sentiment, and macro context, and how quality controls decide what gets indexed.
DailyIQ is a context platform, not a prediction engine. The goal is to make market conditions easier to interpret and apply.
Methodology focuses on three things: signal quality, page quality, and transparent framework updates.
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.
Signal Framework
Technical context combines trend, momentum, and volatility features. Sentiment context combines tone, recency, and coverage intensity.
Macro context tracks high-impact releases, policy signals, and regime shifts. Outputs are directional context signals, not personalized advice.
Scoring And Interpretation
Scores are designed to summarize conditions quickly, not replace judgment. They help compare setups under a consistent framework.
Scores can evolve as data quality, model behavior, and market structure change.
Indexing And Quality Gates
Not every dynamic page is indexed equally. Pages must meet quality and freshness thresholds before they are promoted in sitemaps.
These controls are intentional and prioritize trust over raw page count.
Updates And Corrections
Copy, frameworks, and internal links are updated continuously as conditions change and feedback comes in.
When a page is weak, the default action is to improve it or limit index exposure until quality is restored.
Understand the methodology behind the scores
See how DailyIQ combines technical indicators, news sentiment, freshness checks, and editorial review to decide what gets surfaced and indexed.