Who uses onchain research on listed crypto companies?

Hedge funds and asset managers that cover crypto equities, and equity research and alternative data firms.

Goldsky

Onchain research on listed crypto companies

Talk to our team

What is onchain research on listed crypto companies?

Onchain research on listed crypto companies is tracking the wallets and contracts a public company runs, so its transaction volume, users and fee revenue can be measured day by day instead of waiting for the quarterly report.

Asset managers and research firms use it to estimate a quarter before the company announces results.

Goldsky watches the addresses you attribute to each company and lands every matching transfer in your warehouse as it happens; deciding which addresses belong to which company, the daily totals and the estimate stay with your analysts.

How onchain research on a listed crypto company works

The diagram follows one company from the addresses you attribute to it to the quarter your analysts estimate before earnings. Your setup may differ.

Attribute addressesMap wallets and contracts to each company

TurboWatch those addressesYour list updates live, no redeploy

Customers transactActivity flows through the company’s contracts

Total volume and usersPer company, per day

TurboLand it in your warehouseEach matching transfer, as it happens

Estimate the quarterAnalysts call it before earnings

Goldsky

How to research listed crypto companies with onchain data

A pipeline checks transfers against the addresses you attribute to each company and lands every match in your warehouse as it happens. You keep the address list current without redeploying, and your analysts total the activity and build the estimate.

What you’ll need

Goldsky Turbo
A research process for attributing addresses to companies
A Postgres database for the address list
A data warehouse for the matched activity
Your company models and earnings estimates

Attribute addresses to each company
A company’s onchain activity can only be measured once you know which wallets and contracts are its own.
Analysts map deposit wallets, treasury wallets and contracts to each company, using filings, public disclosures and transaction patterns. An address wrongly attributed adds someone else’s activity to the estimate, so record the evidence for each one.
Watch the attributed addresses
Handled by Goldsky Turbo
Only activity at the company’s addresses counts, so the pipeline needs the current list.
The list changes as analysts find new addresses, and each change has to apply at once without restarting anything. An address added late misses the activity from the days before.
With Goldsky, the address list lives in a Turbo Pipelines dynamic table, which lives in a Postgres database, and dynamic_table_check() keeps only transfers to or from it. Add a row and the running pipeline picks it up with no redeploy.
Learn about dynamic tables (opens in a new tab)
Customers transact with the company
The company’s customers deposit, withdraw, trade and pay fees through its wallets and contracts.
Each of those actions is a transfer recorded onchain, whether or not the company reports it separately. Activity that moves inside the company’s own systems and never touches the chain won’t show up.
Land each matching transfer in your warehouse
Handled by Goldsky Turbo
Analysts need every matching transfer in one place they can query alongside their models.
Each transfer lands once, with its address, token, amount and time, and your warehouse joins it to the company through your address list. When the chain replaces recent blocks in a reorg, transfers from those blocks have to be corrected, or volume is counted that never settled.
Turbo Pipelines writes each match to your warehouse as it happens, and sinks with a primary_key, such as ClickHouse, apply reorg corrections as updates and deletes to the same rows.
How reorgs reach your sinks (opens in a new tab)
Total volume and users per company
Daily totals turn raw transfers into the measures analysts track, such as volume, active users and fees.
Your warehouse adds up activity per company per day and counts distinct addresses as a stand-in for users. One user can hold several addresses, and exchanges often pool customers into shared wallets, so treat address counts as a trend.
Estimate the quarter before earnings
The point of the data is to see the quarter’s results before the company reports them.
Analysts fit the daily totals against past reported figures to estimate revenue and users. Check each estimate against the reported numbers once they’re out, to see how well onchain activity tracks that company.