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See what is moving industrial metals before price confirms it

Turn global reporting into structured industrial metals intelligence – with live and historical indices, driver signals, events and source-level evidence across copper, aluminium, steel, iron ore, tin and related markets.

Built for systematic research, market monitoring, cross-asset analysis and institutional workflows.

Permutable AI-powered aluminium market intelligence chart showing the top drivers influencing aluminium prices over an 11-day period. The visual tracks the ranking of key market factors including industrial demand, geopolitical conflicts and diplomatic relations, economic growth indicators, trade disruptions and sanctions, and supply-related developments. Displayed on a dark blue dashboard with cyan and purple trend lines, the chart highlights how the relative importance of market drivers changes over time to support aluminium price forecasting and trading decisions.
  • Copper, aluminium, steel, iron ore, tin and related markets
  • Demand, supply, policy, energy and geopolitical drivers
  • Asset, driver, event and source-level outputs
  • API, Excel, files and institutional feeds

Trusted by cross-asset market teams

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Industrial metals newsflow, structured for institutional workflows

What is measured? What explains the move? How is it used?
Metal, product and driver-level indices China demand, infrastructure, manufacturing, inventories, mine and smelter output, energy costs, trade restrictions, sanctions and logistics Research, monitoring, systematic models and risk workflows
Direction and magnitude Source-linked events and story development Historical replay, alerts, API, Excel and data feeds
Copper, aluminium, steel, iron ore, tin and related markets Narrative persistence, cross-metal divergence and cross-market transmission Portfolio analysis, scenario testing and custom configurations
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See the signals behind industrial metals repricing

Industrial metals respond to changing combinations of demand, inventories, production, energy costs, trade policy and geopolitical risk. Permutable separates these forces by metal and driver, allowing users to inspect which narratives are strengthening and how they relate to market pricing.

Tracking when geopolitical risk reaches copper

Permutable tracks copper prices against geopolitical-risk sentiment during the US-Iran conflict. The example shows how a broader geopolitical shock can be examined alongside an industrial metal rather than treated as an isolated macro headline.

Signals shown: Copper daily close and geopolitical-risk sentiment

Dark institutional chart showing Permutable's copper geopolitical risk sentiment rising alongside HGI daily close price during the US-Iran conflict.
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Fragmented industrial metals information, structured into auditable signals

Conventional workflow With Permutable
Metals headlines disconnected from individual assets, products and drivers Metal, product, driver and event-level signals
One generic metals or China sentiment score Separate demand, inventories, production, energy, trade, sanctions and geopolitical series
No clear evidence behind a signal movement Source-linked events, headlines and timestamps
Difficult to compare drivers across copper, aluminium, steel and tin Consistent cross-metal signal structures
Historical analysis vulnerable to hindsight Strict point-in-time construction
Manual monitoring across multiple sources API, Excel, files and institutional feeds

Built to be evaluated without hindsight

Historical observations reflect only the information available at their original timestamps, allowing the same signal structure to be examined historically and monitored in production.

  • Point-in-time history

    Each historical value reflects only the information available at that moment.

  • Source and processing timestamps

    Each historical value reflects only the information available at that moment.

  • Source and processing timestamps

    See when information was published, captured and incorporated into a signal.

  • Versioned outputs

    Identify which production methodology generated each historical or live observation.

  • Consistent historical and live schema

    Move from research into monitoring without rebuilding fields or output structures.

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FAQs

  • What does the industrial metals dataset contain?

    Permutable’s industrial metals dataset includes historical and live metal, product and driver-level indices, event records and source-linked observations. Outputs can be organised by metal, product, geography, market driver, event type and direction of pressure, allowing users to move from an aggregate signal to the developments contributing to it.

  • Which industrial metals and products are covered?

    Coverage includes copper, aluminium, steel, iron ore and tin, alongside related products and market configurations. This can include product-specific intelligence such as hot-rolled coil, as well as customised coverage for additional metals, regional markets and industrial supply chains.

  • Which industrial metals market drivers are tracked?

    Signals are structured around China demand, infrastructure investment, manufacturing activity, inventories, mine production, smelter output, energy costs, trade restrictions, sanctions, logistics and geopolitical developments. These drivers can be monitored separately or combined to show how the balance of pressure is changing across individual metals and products.

  • How far back does the historical industrial metals data go?

    Permutable provides more than 11 years of historical point-in-time intelligence for core industrial metals series. Exact availability may vary by metal, product, market driver and configuration, and can be confirmed during the data-evaluation process.

  • Is the historical dataset strictly point in time?

    Yes. Historical observations are constructed using only the information available at their original timestamps. Events, source records and signal values are preserved without incorporating information published later, helping users evaluate historical behaviour without hindsight or look-ahead bias.

  • How frequently are industrial metals signals and event records updated?

    Standard industrial metals indices are updated hourly. Event and source records are processed throughout the day, while delivery cadence can be configured around research, monitoring, alerting and production requirements.

  • Can users inspect the events and sources behind a signal?

    Yes. Users can access the source-linked events, headlines, entities, facilities, countries, market drivers and timestamps contributing to a signal. This allows teams to investigate why an indicator changed, distinguish isolated developments from persistent narratives and trace the evidence behind each historical or live observation.

  • How is industrial metals intelligence delivered?

    Industrial metals intelligence can be delivered through API, Excel, structured files and institutional data feeds. Historical and live outputs use a consistent schema, helping teams move from research and validation into monitoring or production without rebuilding the underlying data structure.

  • Can institutions evaluate sample industrial metals data?

    Yes. Institutions can request a defined event-window sample containing metal and driver-level signals, source-linked events and example records. Samples can be structured around copper, aluminium, steel, iron ore, tin or a specific market question involving demand, inventories, production, energy costs, trade, sanctions or geopolitics.