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Market Research / Correlation

Find out what actually moves together

Measure how any set of assets moves against any other, over any window. Tokens against tokens, sectors against sectors, and crypto against the equity, commodity, and FX markets it is supposed to be diversifying from.

Every pair, in one grid

Build a matrix from any set of assets and read the whole book at once. Tokens, sectors, equity indices, commodities, and currencies sit on the same grid, measured the same way, so a cross-asset pair is no harder to check than a cross-token one.

  • Any asset, any class

    Tokens, categories, stocks, ETFs, commodities, and FX

  • One consistent measure

    The same returns basis across every pair on the grid

  • Read it at a glance

    Tinted by strength, so the clusters find themselves

Correlation is not a constant

A single coefficient hides the thing that matters. Track any pair as a rolling series to see where the relationship held, where it broke, and how long the decoupling actually lasted before it closed again.

  • Rolling windows

    Any lookback, from a month to multiple years

  • Spot the regime change

    See exactly when a pair decoupled or inverted

  • Test the hedge

    Check a relationship held when you needed it to

From a coefficient to a decision

A number on a grid is where the question starts. Click any pair to open it side by side on price, drawdown, and volume, so you can see the periods driving the reading rather than taking the statistic on trust.

  • Open any pair

    Jump from a cell straight into the comparison

  • See what drove it

    The windows behind the number, not just the number

  • Share the finding

    Save it to a workspace and annotate it for the desk

A correlated pair opened side by side

Correlation across everything you hold

Digital assets
130,000+
On one grid
Crypto + TradFi
From 30 days to multi-year
Any window

The same measure over every asset class we cover, computed on a consistent returns basis so a crypto-to-equity pair is as trustworthy as a crypto-to-crypto one.

Team collaboration in context

Document research findings, attach notes to specific chart coordinates, and discuss asset positioning with your team directly alongside real-time market data.

Correlation matrix

Every pair on one grid, tinted by strength

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Rolling correlation

Watch a relationship hold, break, and re-form

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Crypto compared against equities

Crypto vs. equities

Put tokens next to stocks, ETFs, and indices

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Correlation across token categories

Category correlation

Measure sector against sector, not just token

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Trusted 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.

Managing PartnerCrypto Fund

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.

Portfolio ManagerProprietary Trading Firm

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.

Head of ResearchInstitutional Investment Firm

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Answers to common questions institutional teams ask when evaluating Seerian.

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