Glassnode outlined a proximity-weighted cost-basis framework that turns CBD into support-resistance signals and proximity versions of MVRV, NUPL and premium.

Glassnode has published a new on-chain framework that turns Cost Basis Distributions into compact support and resistance signals by weighting nearby supply more heavily than distant supply. The October 20, 2026 methodology is intended to show where tradeable supply sits relative to spot, and to restate familiar valuation tools such as MVRV and NUPL on a proximity basis, according to Glassnode.

In the post, authored by Vicky Yang, co-founder at Fountainhead Digital and published by Glassnode on Tue, 20 Oct 2026, the firm argues that traditional cost-basis measures are useful but incomplete because they can underweight nearby supply clusters that price is most likely to test. The proposed Proximity Support–Resistance framework, or PSR, addresses that gap by assigning exponentially decaying weights to 100 cost-basis quantiles according to distance from spot, with the decay scaled by the 30-day rolling standard deviation of price, the article says.

Under the method, proximity support is the weighted supply below spot and proximity resistance is the weighted supply above spot. Glassnode defines the Proximity Support Index as PSI = PS / (PS + PR) and the Proximity Resistance Index as PRI = PR / (PS + PR), which means the two series sum to 1. 5 indicates the opposite. The same proximity weighting is then used to compute a proximity realized price, from which proximity MVRV, proximity NUPL and Proximity Premium are derived.

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