11+ years of macroeconomic sentiment across 95+ economies, 80+ languages and more than 70 topics. Hourly, point-in-time intelligence built for macro research, regime monitoring and live market analysis.
Get ahead of the prints and identify changes in inflation, growth, policy and political risk before they are fully reflected in official data or market consensus.
Permutable helps macro teams investigate the economic questions that sit between official data, market consensus and asset-price behaviour.
Permutable separates domestic and international coverage, revealing whether economic pressure is emerging locally, being amplified externally or diverging from the narrative shaping global investor positioning
Track how inflation, growth, employment, fiscal pressure and policy are being discussed by local-language sources, domestic institutions and policymakers.
Measure how global media, financial institutions and external market participants are interpreting the same economy.
Identify where domestic and international signals are separating, converging or beginning to move together – and whether that change could become relevant for market pricing.
Track whether inflation pressure is broadening, narrowing or rotating across energy, food, housing, services, wages and consumer goods before the change is fully reflected in official releases.
Monitor changes in central-bank narratives, policy credibility and market expectations to identify when the anticipated direction of rates is beginning to shift.
See whether macro pressure is emerging inside an economy, being amplified by external reporting or diverging from the international narrative influencing global investors.
Analyse how changes in policy, fiscal conditions, political risk and capital flows begin to affect currencies, rates, commodities and safe-haven demand.
Point-in-time Policy Outlook sentiment showed its strongest relationship at the front of the US curve. A one-standard-deviation increase was followed by an 18.6bp rise in the three-month yield and a 15.9bp rise in the two-year yield over the following 60 trading days.
Permutable provides an additional information layer for teams seeking to understand what is changing in the economy, why it is changing and when it may become relevant for markets.
Models frozen since 2020 have navigated every subsequent macro regime without hindsight or retrospective optimisation.
The core production models have remained unchanged through multiple economic and market regimes.
Events after 2020 were not incorporated into model training or used to optimise historical classifications retrospectively.
Historical signals preserve only the information available at each moment, supporting testing without future information entering earlier observations.
Users can move from a macro signal back to the countries, topics, narratives and source-level information contributing to the change.
Permutable captures real-time macroeconomic information from global news, central bank commentary, policy updates, geopolitical developments and market commentary. This creates a live intelligence layer that reflects the narratives, expectations, and sentiment shifts influencing markets before they are fully visible in traditional macro datasets.
Our NLP and large language model capabilities interpret unstructured macroeconomic information at scale. By extracting entities, themes, tone, context, and relationships across global sources, we transform fragmented narrative flow into structured intelligence that can be analysed across economies, regions, asset classes, and policy events.
Our intelligence engine identifies sentiment shifts and detects macro-relevant events that may affect market pricing, volatility, positioning, or risk appetite. By tracking how economic narratives evolve in real time, we help institutions understand where pressure is building and which developments may influence market expectations.
We convert macro narratives, policy expectations, geopolitical developments, and sentiment movements into structured regime indicators and market signals. This helps users identify transition risk, cross-market transmission, changing economic conditions, and early signs of repricing before broader consensus forms.
Our system organises macroeconomic intelligence into clear, actionable outputs for trading, research, portfolio, and risk teams. Signals can be delivered through dashboards, APIs, alerts, and customised workflows, making it easier to integrate real-time macro intelligence into existing investment and decision-making processes.
Every macro signal is subject to validation, filtering, and quality control to reduce noise and improve reliability. By combining AI-led analysis with contextual review, we help ensure that our macroeconomic intelligence is relevant, explainable, and suitable for institutional-grade trading, research, and portfolio decision-making.
Macroeconomic sentiment intelligence measures how economic conditions, policy expectations and risks are developing across global and local information sources.
It provides a live complement to official economic statistics, consensus forecasts and traditional market data.
Official statistics generally measure economic activity after it has occurred and are released monthly or quarterly.
Macroeconomic sentiment tracks how inflation, growth, employment, policy and other conditions are being discussed as they develop between those releases.
Permutable monitors whether economic narratives are strengthening, weakening, broadening or spreading across countries and markets.
Persistent changes across multiple related topics can provide additional evidence that the macro environment is moving into a new regime.
We combine broad global and local-language information coverage with domestic-versus-international separation, hourly monitoring, point-in-time history and source-level explainability.
This provides information beyond a generic positive-or-negative news score or an English-language consensus feed.
Local sources may identify economic stress, policy concerns or changes in household conditions before international coverage responds.
International sources may then amplify those developments once they become relevant for global investors, currencies, rates or sovereign risk.
Separating the two helps users understand where a narrative originated and how it is travelling.
Coverage includes inflation, growth, monetary policy, fiscal conditions, employment, consumer demand, trade, market stress, political pressure and geopolitical risk.
Macroeconomic intelligence can support research across interest rates, sovereign debt, currencies, commodities and cross-asset portfolios.
The relevant signal and testing framework will depend on the market and investment question being investigated.
Users include macro portfolio managers, strategists, economists, systematic researchers, FX and rates teams, commodity investors, asset managers and portfolio-risk teams.
Yes. Permutable’s Global Macro Sentiment Indices provide hourly, point-in-time historical data that can support signal testing, event studies, regime analysis and systematic research.
Yes. Permutable’s production models were trained in 2020 and have not been refitted using the major macroeconomic regimes that followed.
Yes. Signals can be traced back to the relevant countries, economic topics, narratives, events and underlying source-level information.
We provides macroeconomic intelligence through API, Excel, institutional data feeds, and customised integrations.