Methodology

From market signals to forecast scenarios.

Loventy organizes market pressure, volatility, catalysts, theses and AI notes into static prototype intelligence surfaces.

Prototype only. No real-time data. Not financial advice.

Price movement, volatility, liquidity, macro calendar, news catalysts, crypto flows, commodities pressure and thesis sentiment.

Confidence labels describe scenario strength and data completeness; they are never certainty labels.

Risk storms identify market pressure zones, not personalized action instructions.

Methodology Scorecard and stars require future AI quality scoring, moderator review and usefulness checks.

Claude/Anthropic is the planned early provider if the backend owner authorizes it; OpenAI can be added later as a separate provider.

Multi-provider routing requires backend, security and legal review. Provider credentials must never be exposed in frontend pages.

Future workflows can map catalysts to assets, sectors, regions, volatility pressure and next review windows.

Bullish, bearish, volatile and neutral labels should combine catalyst severity, confidence, source quality and market sensitivity.

The 2-hour update target is aspirational until approved APIs, automation, alert logic and human/compliance review are active.