Permutable’s Intelligence Engine transforms global news, macro narratives, geopolitical developments and alternative data into structured, point-in-time signals for institutional research, trading and risk workflows.
Recognised at the Hedgeweek European Awards 2026 as Technology Provider of the Year: Innovation, the Engine helps teams understand not only what is changing, but which narratives, events and market drivers are behind it.
Hourly, point-in-time signals showing how inflation, growth, monetary policy, fiscal pressure, trade and political risk evolve across countries and information sources.
Structured supply, demand, policy, weather, infrastructure and geopolitical signals showing which forces are shaping individual commodities and traded assets.
Track emerging events, narrative persistence, escalation, geographic exposure and the relationships connecting information across markets.
Move from a signal or index change back to the contributing events, entities, topics, timestamps and underlying information
Classify global information into structured macro themes, separating inflation, growth, policy and sector-level signals so institutional teams can analyse changing pressure consistently across countries, assets, regions, markets and time horizons.
Identify the supply, demand, policy, weather and geopolitical forces shaping asset direction, revealing which drivers are strengthening, fading or reversing across commodities and wider market environments in real time globally.
Track how production, policy and market narratives evolve through time, distinguishing temporary shocks from persistent shifts and highlighting where divergence may signal changing macro conditions or emerging investment risk earlier.
Compare structured policy and narrative signals with market pricing to identify transmission, divergence and lead-lag relationships across rates, currencies, commodities and broader portfolio exposures within institutional research and monitoring workflows.
Use point-in-time macro and sentiment signals for research, feature engineering and strategy testing.
Identify emerging narratives, price drivers and risk events before consensus forms.
Monitor macro regime shifts, country risk and cross-asset narrative transmission.
Support research, sales and trading, market colour and client intelligence workflows.
Track supply disruption, weather, policy, geopolitics and demand narratives across energy, metals and agriculture.
A 16-month live commodities futures experiment delivered 28.54% total return, 20.86% annualised return, 7.01% annualised volatility and a −2.95% maximum drawdown using Permutable sentiment signals across energy, metals and agriculture.
Permutable’s policy-tools sentiment captured dovish and hawkish narrative shifts around Brazil’s SELIC cycle, showing how country-level policy intelligence can reveal changing expectations before official central-bank decisions confirm the turn itself.
GMSI Interest Rates sentiment produced a 1.14 out-of-sample Sharpe, 7.2% gross return and 73% hit rate, demonstrating how topic-level policy narratives can support transparent short-end rates research and validation workflows.
Brent geopolitical and policy sentiment turned bullish before crude repriced, revealing how the market’s focus shifted from escalation probability toward shipping-route viability, transit restrictions and impaired Gulf crude flows risk
Validated global news, macro, market and alternative data sources across languages and regions.
Identification of countries, assets, companies, commodities, policy actors, geopolitical events and macro themes.
Mapping information flow to inflation, growth, policy, fiscal risk, trade, labour markets, geopolitics and asset-specific drivers.
Directional and semantic sentiment outputs built point-in-time for research, monitoring and backtesting.
API, Excel, data feed and custom integrations for systematic, discretionary and enterprise teams.
The Intelligence Engine transforms global information flow into structured macroeconomic, commodity, asset and geopolitical intelligence.
Outputs include point-in-time sentiment indices, market-driver signals, event classifications, narrative indicators, country and asset intelligence, and source-linked records designed for research, trading, monitoring and risk workflows.
Traditional news-monitoring platforms primarily help users search, filter and read information.
Permutable classifies information by country, asset, topic, event, market driver and sentiment, then converts it into consistent time series and structured signals that can be analysed, compared and integrated into institutional systems.
The Intelligence Engine is designed to produce structured, repeatable and machine-readable intelligence rather than open-ended generated commentary.
It converts information into defined indices, classifications, events, metadata and market-driver signals while preserving the connection between each output and its underlying evidence.
Historical outputs are constructed using only the information available at each moment.
This allows institutional teams to test signals, conduct event studies and develop models without introducing information that would not have been available at the time of the historical decision.
Yes. Our intelligence and outputs are designed around source-linked explainability.
Users can investigate the events, narratives, topics, entities and underlying information contributing to changes in an index or market-driver signal, rather than relying solely on an unexplained composite score.
The Engine identifies the countries, assets, policy actors, topics and events referenced within each item of information.
It then maps those records to structured taxonomies covering macroeconomic themes, commodity drivers, geopolitical developments, directional sentiment, semantic sentiment and related market relationships.
Directional sentiment measures whether the underlying economic or market variable is moving higher or lower, tightening or easing, strengthening or weakening.
Semantic sentiment measures whether the surrounding language and interpretation are positive, negative or neutral. Separating the two allows users to distinguish market direction from narrative tone.
The Intelligence Engine evaluates the direction, frequency, breadth and persistence of related information over time.
This helps separate isolated headlines from sustained narrative changes that may influence expectations, positioning, policy interpretation or market repricing across multiple sources and regions.
Permutable applies filtering, classification checks, historical testing and dataset-level quality controls before outputs are delivered.
Validation methods vary by dataset and use case. Relevant methodology, field definitions and technical documentation can be provided during an institutional evaluation.
The Engine supports intelligence across macroeconomics, commodities, currencies, geopolitical risk and other globally traded markets.
Coverage spans more than 90+ countries, 80+ languages and 70+ assets, with information drawn from a global universe of curated sources.
Outputs can be delivered through API, Excel, institutional data feeds, historical files, dashboards and tailored enterprise workflows.
The appropriate format depends on whether the data is being used for systematic research, analyst monitoring, portfolio oversight, internal applications or production infrastructure.
Yes. Structured indices, events, market-driver signals and source-linked records can be integrated into research environments, models, internal dashboards, monitoring systems and portfolio or risk infrastructure.
Permutable works with institutions to define the datasets, frequency, fields and delivery approach required for their workflow
Versioning and revision processes depend on the dataset and deployment requirements.
During evaluation and integration, Permutable can provide relevant information on dataset definitions, timestamps, corrections, methodology changes and the handling of historical and live output
Yes. Institutional teams can request sample indices, market-driver signals, source-linked records, technical documentation and an integration overview relevant to their markets and workflows. Contact our team to request sample Intelligence Engine outputs.