Methodology prototype

How the future forecast engine will build market weather scenarios.

The engine will combine market pressure inputs, AI agent review and human/legal review before any premium activation.

Prototype data only. No accuracy certainty. No personal financial advice. Conditions can change rapidly.

Directional pressure, breadth, gap behavior and cross-market confirmation.

Expected turbulence, drawdown risk, fast reversal zones and risk storm intensity.

Market depth, exchange/venue concentration, spreads and fragile flow conditions.

Rates, inflation, jobs, central banks, fiscal events and currency catalysts.

Market-impact headlines grouped by asset, sector, region and timing sensitivity.

ETF narrative, leverage, stablecoin flows, unlocks and exchange risk signals.

Oil, gas, gold, copper, agriculture and supply-chain stress as macro weather inputs.

Resolved theses, risk notes, usefulness scoring and disagreement quality.

Cross-checks for scenario framing, uncertainty labels, missing catalysts and contradiction risk.

Premium activation requires compliance review before alerts, paid intelligence desks or partner surfaces become active.

Future catalyst intake can map events to assets, regions, sectors, risk level, confidence and next review window.

Potential bullish, bearish, volatile or neutral impact labels should reflect catalyst severity and uncertainty.

The 2-hour target update window is aspirational until APIs, automation, AI routing and review gates are active.