macro-economic-dashboard

An inter-market macro dashboard maps cross-asset relationships across currencies, bonds, equities, and commodities to identify risk-on or risk-off conditions. It uses rule-based logic to interpret divergences and yield curve signals that drive currency trends.

Monitoring macro risk regimes involves tracking DXY, VIX, US yields, and major equity indices to gauge market sentiment. A rules engine evaluates these real-time inputs to detect cross-asset correlations and inform hedging or allocation strategies.

To generate a macro inter-market view, you request a dashboard analysis using Python-based data mapping. This aggregates real-time inputs from commodities, equities, and currencies to deliver a unified snapshot of current market conditions.

Yes, a rules engine interprets cross-asset signals to determine their FX implications. By analyzing real-time inputs from instruments like XAUUSD, WTI, and SPX, it identifies regime shifts to inform currency positioning strategies.

Yes, the macro dashboard requires real-time inputs and Python-based data mapping to accurately track cross-asset moves. These inputs feed the rules engine that monitors inter-market relationships and identifies current risk regimes.

Identifying yield curve signals requires tracking US yields, DXY, VIX, commodities like WTI and Brent, and equity indices such as SPX and NDX. Monitoring these instruments together reveals cross-asset divergences that drive broader market trends.