Methodology

How the numbers are worked out

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How every number on the dashboard is worked out, one page per measure. Each is also available as plain Markdown (add .md to the address) for tools that prefer it.

How a rune sale is found and priced. Every rune sale on the dashboard is read from a confirmed Bitcoin transaction by our own node, and priced from the bitcoin that actually changed hands.
How an inscription sale is found and priced. Inscription sales are found in confirmed blocks by a marketplace listing's signature, priced from the seller's payment output, and matched to the inscription.
Wash-trade flags. Four plain rules mark sales that are probably one person trading with themselves. Flagged sales stay visible, labelled, and are left out of market statistics.
Who a trade was with. Marketplaces, liquidity pools and trading desks are recognised from published lists and from how addresses behave on-chain, and every label says how sure it is.
Rune prices and the rune market Greeks. Rune prices are sats per whole token from confirmed sales on our node. The Greeks borrow option-market letters for change, drift, volatility and co-movement.
The Ordinals and Runes market indexes. One number each for the Ordinals and Runes markets, both starting at 100, equal-weighted and averaged geometrically across ten members.
Collections: membership, holders and sales. Which inscriptions belong to a collection comes from a public registry checked against our own ord index; holders and sales come from the chain.
The rune mint tracker. Which open rune mints are moving, how far along each is, and roughly when it mints out or closes, from the etching terms and the blocks our node sees.
Cheapest times to send. What it has cost to get into a block at each hour of the week, from the blocks our own node has seen over the last four weeks.
Which mining pools leave inscriptions out. Per pool over 30 days: the share of each block that is inscriptions, BRC-20, runes and Alkanes, and how many well-paying ones it left out when they would fit.
The fair-launch score (Labs). How widely a rune's mints were spread at launch: unique minters, the top 10's share, the first block's share, mints per minter and shared funding, in one score.
Holder overlap network (Labs). Which of the collections we follow share holders, how many, and how much more often than chance would give, with custodians left out and counts only.
Holder retention curves (Labs). For each collection we follow, how long items stay at the address they were minted to, as a Kaplan–Meier curve with the share at 30, 90 and 365 days.
Math-labelled sats (Labs). A Labs experiment tagging each sat by the mathematical class of its number: prime, square, Fibonacci, perfect and so on. Our own labels, not ord's rarity.
Mempool as sound (Labs). What each sound on the Labs "Mempool as sound" page means, which stored figure it comes from, and the caps that keep it listenable.
Mempool weather (Labs). A plain-language fee forecast built from our own node's mempool and blocks, with its own track record. Experimental.
Real holders (Labs). How many owners, not addresses, hold each collection we follow, worked out from how addresses spend together, as a range with what it can't see.