Market Research / Commodities
Metals, energy, and crops, priced beside everything else
Monitor spot pricing, futures term structure, and institutional positioning across physical commodities. Reconcile macro inflation hedges against your digital asset book on a single clock.
Asset-level pricing and market data
Open any commodity for its spot price, the unit it trades in, the range it has held, and the holdings behind it. The full record behind a row in a table, on the surface you found the row on.
- Spot and futures tracking
Monitor price action across base metals, precious metals, energy benchmarks, and agricultural products
- Quoted in its own unit
Ounces, barrels and pounds spelled out, rather than normalised into one number
- Volatility profiling
Measure historical and implied volatility to read the macro risk environment
Futures term structure and forward curves
Contango or backwardation is the market saying whether it wants the barrel now or in six months, and a spot quote cannot say it. The curve sits beside the price, so a desk carrying inventory sees the shape before it sees the level.
- Contango and backwardation
Monitor the shape of the forward curve to identify physical tightness or oversupply
- Roll yield
Calculate implied carry costs and annualised roll yields across active contracts
- Calendar spreads
Evaluate front-month against deferred-month differentials in real time
The hedge, checked against what it hedges
Gold against crude against bitcoin, rebased to one window. The metal is the hedge everyone names, the barrel is the growth trade it is meant to be uncorrelated to, and the coin has spent a decade being described as one or the other. On one axis the relationship is a measurement rather than a belief.
- One axis, three asset classes
Put a metal, a barrel and a digital asset on the same rebased scale, so a $2,684 ounce and a $65,142 coin are read against each other
- Correlation against the hedge
Read each asset against gold over the window rather than inferring the relationship from two shapes
- Volatility beside the return
Hold the move against the annualised volatility that produced it, since the same return from a 14% asset and a 46% one is not the same trade
Tokenised commodities and the premium they carry
An ounce in a vault and a token claiming one are not the same instrument. Follow every tokenised claim on a physical commodity: who issued it, what it is redeemable for, and what it trades at against the metal itself.
- Every wrapper, ranked
Compare each tokenised claim by on-chain size, issuer and the chain it settles on
- Backing and redemption terms
Check what is vaulted behind a token, who attests to it, and the size a holder can redeem in
- Premium to spot
Track the wrapper against the metal it claims, so a premium is visible in basis points as it opens
Cross-asset portfolio reconciliation
Gold against bitcoin, crude against the equity index, copper against the growth trade. Same axes, same window, correlation measured rather than assumed, so the macro hedge is checked rather than believed.
- Digital asset correlation
Track gold, silver and crude against bitcoin and ether on the same axes and window
- Tokenised commodity mapping
Reconcile physical spot pricing against tokenised gold to spot premium and discount gaps
- Correlation, measured
Read how the relationship actually moved rather than assuming the hedge holds
The physical market, on the same clock as everything else
- Priced per their own unit
- Metals, energy, agriculture
- Contango and backwardation, charted
- Curve shape
- Commitments of Traders, weekly
- Positioning
Institutional teams rely on Seerian for continuous visibility into global commodity markets, forward curves, and positioning data, integrated with their digital asset book.
Universal commodity analysis tools
Apply Seerian’s core research capabilities to any individual commodity across the platform using standardized market data inputs.
Commodity price comparison
Chart multiple physical commodities side-by-side to evaluate relative strength, seasonal trends, and sector rotation
Learn more about Commodity price comparisonCross-asset correlation matrix
Measure historical price correlation between the physical markets and digital assets to check a macro hedge rather than assume it
Learn more about Cross-asset correlation matrixMacro entity graph
Map the relationships between a physical market, its tokenised equivalents, and the issuers behind them
Learn more about Macro entity graphTerm structure and roll yield indicators
Monitor contango and backwardation slopes, calendar spreads, and implied carry costs across the commodity complex
Learn more about Term structure and roll yield indicatorsCollaborative commodity analysis
Document macro research, attach notes to specific forward curve inversions, and discuss positioning with your team alongside live market data.
Discussion and annotation
Notes anchored to the point on the chart they are about
Learn more about Discussion and annotationWatchlist integration
Add energy benchmarks, precious metals, or agricultural contracts to shared team watchlists with a single click
Learn more about Watchlist integrationDashboards
Pin term structure charts, positioning tables, or cross-asset correlation matrices onto a shared dashboard
Learn more about DashboardsContextual news feed
Stream geopolitical developments, supply disruptions, and macro releases impacting the commodities you monitor
Learn more about Contextual news feedCustom alert routing
Route threshold notifications for curve inversions, extreme positioning skews, or volume spikes to Slack, Telegram, Teams, WhatsApp, or PagerDuty
Learn more about Custom alert routingSeera AI prompts
Summarise the weekly positioning report, calculate deferred contract roll yields, or draft internal macro risk briefs
Learn more about Seera AI promptsTrusted by institutional teams managing digital assets at scale
Discover how top investment firms, funds, and family offices consolidate market intelligence into one workspace.
“Before Seerian, we were paying for separate analytics platforms and manually stitching the data together in internal dashboards. Now, our entire research stack is in one place, natively integrated, and perfectly mapped to our live portfolio. It completely changed how we evaluate our positions.”
“Seeing derivative flows, funding rates, and liquidity levels directly alongside our active wallet positions changed how we manage downside risk. We don’t just look at isolated market data anymore; we see exactly how it impacts our specific holdings in real time.”
“The ability to have our entire analyst team working out of the same shared watchlists and project folders has eliminated the scattered research we used to share over chat. Everyone is finally looking at the same data, at the same time.”
“Before Seerian, we were paying for separate analytics platforms and manually stitching the data together in internal dashboards. Now, our entire research stack is in one place, natively integrated, and perfectly mapped to our live portfolio. It completely changed how we evaluate our positions.”
“Seeing derivative flows, funding rates, and liquidity levels directly alongside our active wallet positions changed how we manage downside risk. We don’t just look at isolated market data anymore; we see exactly how it impacts our specific holdings in real time.”
“The ability to have our entire analyst team working out of the same shared watchlists and project folders has eliminated the scattered research we used to share over chat. Everyone is finally looking at the same data, at the same time.”
Frequently asked questions
Answers to common questions institutional teams ask when evaluating Seerian.
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Commercial inventories fell 4.2 million barrels against an expected build, and OPEC+ held targets for a third meeting.