Market Research / Correlation
Find out what actually moves together
Measure how any set of assets moves against any other over any window. Evaluate tokens against tokens, sectors against sectors, and crypto against the equity, commodity, and FX markets designed to diversify them.
Every pair, in one grid
Build a matrix from any set of assets and evaluate the whole book simultaneously.
- Any asset, any class
Map tokens, categories, stocks, ETFs, commodities, and currencies on the identical grid
- One consistent measure
Apply the exact same returns basis across every paired asset
- Read it at a glance
Identify structural relationships immediately with color-tinted clustering
Correlation is not a constant
Track any pair as a rolling series to identify exactly where a relationship held and where it decoupled.
- Rolling windows
Evaluate any lookback period, from a single month to multiple years
- Identify correlation breaks
Locate the exact time window where a historical relationship broke down
- Test the hedge
Verify that a structural hedge actually held during periods of market stress
Validate the relationship in context
Click any pair to open synchronized price and drawdown charts. Confirm whether a correlation reading reflects structural trend alignment or isolated outlier events.
- Open any pair
Jump directly from a grid cell into a granular comparison view
- See what drove it
Isolate the specific time windows defining the underlying metric
- Share the finding
Save discoveries to a shared workspace and annotate them for your team
Universal Cross-Asset Correlation
Evaluate true portfolio risk by comparing any asset class against another on an identical, unified grid.
- One grid, every class
Analyze tokens natively alongside equities, ETFs, commodities, and fiat
- A consistent basis
Utilize identical return mathematics behind every cross-asset pair
- The pair that matters
Compare heavy-weight technology equities against major digital assets on one screen
Sector against sector, not just token against token
Measure at the category level to determine whether a reading is specific to a pair or an entire sector rotation.
- Category level
Compare Layer 1 networks against DeFi protocols or real-world assets (RWAs) against stablecoins
- Rotation, not noise
Identify a sector moving as a cohesive unit rather than an isolated asset fluctuation
- Drill back down
Expand any category to analyze the individual tokens driving the aggregate metric
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.
Discussion and annotation
Notes anchored to the point on the chart they are about
Learn more about Discussion and annotationWatchlist integration
Add any asset to a shared team watchlist with a single click from any data row
Learn more about Watchlist integrationDashboards
Pin a price chart or a movers table onto a shared dashboard in a click
Learn more about DashboardsContextual news feed
Protocol announcements, governance updates, and verified news for the assets you monitor
Learn more about Contextual news feedCustom alert routing
Send threshold notifications to Slack, Telegram, Teams, WhatsApp, or PagerDuty
Learn more about Custom alert routingSeera AI prompts
Summarize asset mechanics, read an open interest skew, or draft a research note
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.
Experience Seerian with your team
Schedule a 30-minute demonstration tailored to your organization's research and portfolio requirements.
Perp open interest is at a 90-day high while funding stays flat, so the move is being led by spot rather than leverage.