Home Finance SKN | Bitcoin Hashrate Drops 15% From October High as Miner Capitulation Nears Two Months
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SKN | Bitcoin Hashrate Drops 15% From October High as Miner Capitulation Nears Two Months

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Bitcoin’s mining sector is showing clear signs of strain as network hashrate continues to trend lower, extending what is now approaching a two-month period of miner capitulation. The pullback reflects narrowing margins following the post-halving environment, higher operating costs, and strategic shifts among publicly listed miners reallocating capital away from pure bitcoin production.

The network’s average computing power has fallen from roughly 1.1 zettahashes per second in October to about 977 exahashes per second, a decline of nearly 15%. This retreat indicates that a growing number of miners are powering down less efficient machines, unable to operate profitably under current conditions.

Miner stress shows up on-chain

On-chain data reinforces the picture of sustained pressure. Glassnode’s widely followed Hash Ribbon indicator, which compares short- and long-term moving averages of hashrate to identify miner capitulation, flipped into inversion on Nov. 29. That signal historically appears when miners are forced to liquidate bitcoin holdings to cover operating expenses, increasing short-term sell pressure in the spot market.

This latest inversion arrived shortly after bitcoin traded near local lows around $80,000, aligning with prior cycles where miner stress intensified during price consolidation phases. While uncomfortable for miners, such conditions have often marked transitional periods rather than prolonged structural weakness for the network.

Difficulty adjustments confirm capitulation

Falling hashrate has already fed through to the protocol level. Bitcoin’s mining difficulty, which automatically adjusts to maintain roughly 10-minute block times, is scheduled to fall by about 4% on Jan. 22 to roughly 139 trillion. If realized, it would mark the seventh negative adjustment in the past eight periods, underscoring how persistent the pressure has been.

Repeated downward difficulty adjustments reduce competition among remaining miners, gradually restoring profitability for more efficient operators. Historically, these resets have helped stabilize the network after periods of forced exits.

AI pivots add to selling pressure

Beyond economics alone, structural shifts in miner strategy are also weighing on the market. Several large operators are increasingly redirecting capital toward artificial intelligence and high-performance computing infrastructure, which often promises steadier long-term cash flows than bitcoin mining.

Companies such as Riot Platforms have openly sold bitcoin holdings to fund AI-related investments, contributing incremental supply during a period of already elevated miner stress. This selling is less about panic and more about capital reallocation, but its timing compounds near-term pressure on price.

Capitulation as a contrarian signal

Despite the gloomy optics, sustained miner capitulation has historically carried constructive implications. Analysts at VanEck note that prolonged periods of miner stress often precede renewed upward momentum once inefficient operators exit and forced selling abates.

The key inflection point typically comes when the short-term hashrate average recovers above the long-term trend, signaling that capitulation has ended and the network is stabilizing. While that crossover has not yet occurred, the depth and duration of the current drawdown suggest the process may be closer to completion than its early stages.

For markets, miner capitulation represents a redistribution phase rather than a breakdown. As difficulty resets, selling pressure fades, and the mining base consolidates around more efficient operators, bitcoin has historically emerged into more balanced conditions. The next phase will hinge on whether price strength returns quickly enough to reverse hashrate trends — or whether miners remain under pressure long enough to fully flush excess supply from the system.

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