BTC Exposure Score
A guide to how directly a public equity or ETF wrapper is tied to Bitcoin price, holdings, revenue, or operating economics.
What it measures
The BTC Exposure Score measures how directly a ticker's business, balance sheet, or fund structure is tied to Bitcoin. It is designed for Bitcoin-linked equities and spot Bitcoin ETF wrappers, where the headline category can hide very different economics. A treasury company, a miner, an exchange, a trading platform, and an ETF can all sit near the same theme while carrying different kinds of exposure.
Why it matters
Bitcoin exposure is not one thing. A spot Bitcoin ETF is built to track the asset through a wrapper. A miner has exposure through production, hash price, energy costs, equipment cycles, and treasury policy. A company with a Bitcoin treasury has balance-sheet sensitivity that can dominate the equity story. A platform may benefit from trading activity without holding much Bitcoin directly. The score helps readers start with the right mental model before comparing tickers.
How to read it
A low score usually means Bitcoin is a secondary or indirect part of the research case. A middle score means the company has meaningful sensitivity, but other operating factors still drive much of the story. A high score means Bitcoin is central to how the ticker should be read. High exposure is not automatically good or bad. It only says that changes in Bitcoin price, flows, holdings, production economics, or related disclosure can matter quickly.
What it does not tell you
The score does not forecast Bitcoin price, estimate net asset value, rank ETF fees, or tell you whether a ticker is cheap. It also does not remove the need to understand leverage, dilution, custody arrangements, mining economics, liquidity, or premium and discount behavior. For operating companies, Bitcoin may be only one layer of risk beside execution, capital allocation, regulation, customer demand, and balance-sheet structure.
What goes into it
The public reading starts with the ticker's category and then considers the routes through which Bitcoin can affect value. Relevant inputs include disclosed Bitcoin holdings, treasury strategy, ETF wrapper design, miner production economics, crypto revenue dependence, trading-volume sensitivity, disclosure freshness, and whether the exposure is direct or filtered through operating activity. Market-data fields such as flows, premiums, or detailed holdings are used only where they are available for public display.
Worked example
A spot Bitcoin ETF normally reads as high exposure because the wrapper exists to provide direct spot Bitcoin exposure. A miner can also read high, but for a different reason: revenue and margins depend on production, network conditions, power costs, equipment efficiency, and treasury choices. A software company with a small Bitcoin balance would usually read lower, because the asset may matter to the balance sheet without defining the whole business. The score is most useful when those cases would otherwise be lumped together.