The Bitcoin market is exhibiting a significant divergence between its price and underlying network fundamentals, with two key institutional metrics suggesting the asset is trading at historically cheap valuations. According to analysis from CryptoQuant, the Delta-Thermo Market Multiple (DTMM) is currently at a reading of 1.6, indicating Bitcoin is trading at a 60% premium above its combined structural cost basis. This basis, calculated at approximately $819 billion in market cap terms, aggregates the average institutional entry price (Delta Cap) and the cumulative security cost paid to miners (Thermo Cap).
The DTMM framework identifies three behavioral zones: an accumulation zone below a multiple of 1.5, an expansion zone at 2.5, and a distribution zone at 3.5 where macro tops have historically formed. With Bitcoin priced at $68,800 and a DTMM of 1.6, the asset sits just above the accumulation zone floor, approximately 56% below the expansion zone. The analysis frames the risk-reward as asymmetric, with a 6% potential downside to the structural floor at 1.5 ($54,358 per coin) versus over 100% potential upside to the distribution zone.
Concurrently, the Bitcoin Yardstick metric, developed by Charles Edwards of Capriole Investments, has hit record lows. This metric divides Bitcoin's market capitalization by its hash rate, normalized over two years, to express value relative to the energy work securing the network. In February 2026, the Yardstick fell to 0.35, far below the one standard deviation threshold that defines "cheap" territory, and currently reads 0.40. Edwards described this as "literally off the chart in deep value."
This record low occurs despite Bitcoin's hash rate remaining resilient near 1 zettahash per second (ZH/s), even as the price has drawn down more than 40% from its October 2025 all-time high near $126,000. The sustained high hash rate amid a price correction underscores the strength of the network's infrastructure. Edwards also noted a "measured collapse" in miner selling following the price lows, a pattern historically associated with bullish reversals.
