Market Research / Airdrops
Know what drops, and who catches it
Announced and expected distributions, sized against circulating float rather than market cap, with the eligibility rules and the claim window beside them, so you can tell a token that finds holders from one that finds sellers.
The whole calendar, sized properly
Every distribution ahead, ranked by what it actually represents. A drop is measured against the token’s own circulating float, because the same dollar value means one thing for a large float and something else entirely for a small one.
- Sized against float
Not against market cap, which hides the impact
- Confirmed or expected
An announced date and a rumoured one are not the same event
- Counted down
Days and hours to each claim window, live
Who is eligible, and on what terms
Users, testnet participants, liquidity providers, or prior holders: who qualifies changes what a distribution means. Break any drop down by eligibility rule to see whether tokens are going to addresses with a reason to hold them or to ones with none.
- By eligibility rule
Usage, testnet, liquidity, holdings, governance
- Claim window and expiry
When it opens, and what happens to what is unclaimed
- Lock-up or immediate
Whether the tokens can be sold the day they land
Only the ones you hold
Filter the calendar to your own book or to a watchlist, and set an alert on any distribution. A calendar that covers every tracked drop is a reference; one covering the tokens you actually hold is a workflow.
- Filtered to your positions
Only the tokens your desk is exposed to
- Watchlist any token
Personal or organization scope, shared with the desk
- Alert before the claim opens
Routed to Slack, Telegram, Teams, WhatsApp, or PagerDuty
Get notified about airdrops and allowlists
An airdrop you hear about after the claim window closed is a distribution you were not in. Set a condition once and the desk is told when a drop is announced, when a claim opens, and when an allowlist you qualify for starts taking entries.
- On announcement
The moment a distribution is confirmed
- On the claim window
When it opens, and before it expires
- On allowlist spots
Routed to Slack, Telegram, Teams, WhatsApp, or PagerDuty
What the book can absorb
A distribution is only large relative to the market that has to take it, and an airdrop arrives in hands that paid nothing for it. Size every drop against the turnover behind it, so a number that looks alarming beside the float can be read against the volume that would actually have to clear it.
- Against daily volume
Not against float, which cannot say if it clears
- Read as a share of a session
A bar against the day, not a ratio to divide
- Modelled impact
What a book of this depth implies, labelled as such
What the last four actually did
The modelled figure is an estimate, and an estimate shown on its own invites being read as a forecast. Comparable distributions sit beside it with the week that followed each one, so the estimate can be judged instead of believed.
- The week after each
What the price did, distribution by distribution
- Sized beside the move
Whether the larger drops actually hit harder
- Outcomes, not forecasts
Including the one that went the other way
Distributions, tracked as far ahead as they are announced
- And the expected ones, marked as such
- Announced
- Every drop sized properly
- Against float
- Usage, testnet, liquidity, holdings
- By rule
Announced and expected airdrops, sized against float and reconciled with circulating supply, so the calendar and the supply figures agree.
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“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.”
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Perp open interest is at a 90-day high while funding stays flat, so the move is being led by spot rather than leverage.