In today's increasingly interconnected financial markets, understanding correlations across a sector has become essential for effective portfolio construction, particularly during current heightened market volatility.
The release of Permutable AI's new Sector Analysis feature addresses this need by providing real-time snapshots of key market drivers whilst continuously monitoring sector-wide influences and correlated assets.
Offering filterable options across multiple sectors and timeframes, users can filter sector sentiment across energy, agriculture, metals, single currency indices and pairs as well as digital assets by sector specific factors. All analysis is available on daily, weekly, and month-specific timeframes.
For energy markets, the feature signals early supply/demand imbalances and strengthens risk management by tracking production and disruptions. It anticipates weather or disaster-driven volatility while guiding price forecasts and identifying potential market bottlenecks.
In currency markets, the system evaluates fiscal and monetary policy impacts across G10 currencies and assesses economic data sentiment from major outlets, highlighting macroeconomic vulnerabilities among countries and leveraging persistent trends for forecasting models.
Wilson Chan, CEO at Permutable AI, says, "Our focus here has been on delivering genuine utility value. By surfacing hidden market dynamics, we're creating a meaningful competitive advantage for our clients. This level of clarity allows them to transform complex sector relationships into actionable portfolio decisions in ways that were previously impossible."