Tag: Bitcoin Mining

  • Bitdeer Sells Full Weekly Bitcoin Output as BTC Tests $85K Mining-Cost Threshold

    Bitdeer Sells Full Weekly Bitcoin Output as BTC Tests $85K Mining-Cost Threshold

    Bitdeer sold slightly more bitcoin than it mined in the week ended Sept. 25, leaving the Nasdaq-listed miner with no bitcoin on its balance sheet. The company produced 288.1 BTC and sold 288.4 BTC, a sign that it continues to convert new output into cash rather than hold reserves.

    Bitdeer keeps bitcoin holdings at zero

    The weekly update shows no net accumulation. By selling essentially all freshly mined coins, Bitdeer limits direct exposure to future price swings through a bitcoin treasury. That contrasts with miners that retain part of production as a store of value.

    The disclosure arrived as bitcoin traded near a closely watched threshold for the mining industry.

    Bitcoin tests $85,000 mining-cost benchmark

    Bitcoin rose above $85,000 for the first time in 280 days before pulling back. On Sept. 25, it traded around $84,187, just below JPMorgan’s estimate of the average cost to mine one bitcoin.

    JPMorgan calls that estimate a “soft floor,” not a hard break-even level. Individual miners face different power contracts, hardware costs, financing terms and operating conditions, so the $85,000 figure is an industry-wide reference rather than a universal threshold.

    Why the $85,000 level matters

    When bitcoin trades below estimated production costs, higher-cost miners can come under pressure. They may sell more coins, idle equipment, cut operations or exit the market. Bitcoin stayed below its estimated production cost for about 224 days in 2018, illustrating that such periods can last.

    JPMorgan had put the average mining cost near $78,000 in June, when bitcoin traded around $62,500. CoinShares estimated at the time that roughly 20% of miners were operating at a loss. The updated $85,000 estimate gives the market a new reference point, though a brief move above it does not erase financial stress across the sector.

    Miner selling pressure could ease if prices hold

    A sustained move above production costs could reduce liquidity pressure for some operators. Miners near the industry average may need fewer bitcoin sales to cover expenses. Duration matters: a short spike above $85,000 is unlikely to change equipment purchases, financing plans or treasury policies in a meaningful way.

    Mining conditions have also shifted. JPMorgan reported that bitcoin’s hash rate had fallen about 19% from its October peak, while difficulty had dropped about 15%. Some miners are redirecting resources toward artificial intelligence infrastructure, adding another variable to decisions about capital and computing capacity.

    The bottom line

    Bitdeer’s latest figures show a miner selling all of its weekly production while bitcoin hovers near JPMorgan’s $85,000 cost estimate. If prices remain above that level for longer, selling pressure from some miners could ease. A brief test of the threshold, however, is unlikely to change the industry’s economics on its own.

  • Bitcoin Mining Pool Data: What Actually Drives Performance and Payouts

    Bitcoin Mining Pool Data: What Actually Drives Performance and Payouts

    The Metrics Behind Mining Pool Profitability

    Bitcoin mining pool choices are often shaped by reputation or habit rather than measurable performance. Yet as network difficulty climbs and hashrate distribution shifts, the operational quality of a pool has a direct impact on daily earnings. Looking at the data reveals a consistent set of patterns that separate high-performing pools from the rest.

    Uptime Claims Need a Closer Look

    A pool advertising 99% uptime still leaves about 3.65 days of downtime per year. For operations running thousands of ASICs, even a few hours of downtime during a period of high network difficulty can lead to a meaningful drop in block rewards relative to contributed hash power. Pools that consistently perform well in profitability comparisons tend to report uptime figures above 99.9%, not just 99%. That extra decimal point represents real earnings.

    Latency Directly Affects Earnings

    Share submission latency is the time between an ASIC finding a share and the pool registering it. High latency does not just create a laggy dashboard experience; it can result in stale shares that do not count toward payouts at all. Pools processing shares in the 80–120 ms range consistently outperform pools with multi-second lag, even when both claim similar theoretical hashrates.

    Payout Methods Change the Risk Profile

    PPS, FPPS, PPLNS, and PROP distribute rewards differently. PPS offers predictable, immediate payouts by shifting variance risk onto the pool operator. PPLNS ties payouts more closely to blocks actually found, which can mean higher long-term returns but choppier short-term earnings. Miners comparing profitability calculators without factoring in payout structure are often looking at numbers that are not truly comparable.

    The Hidden Efficiency Drain: Stale Shares

    Stale shares are solved against outdated jobs and directly reduce effective hash power. A pool maintaining a stale share rate below 0.2% during peak load is operating at a different infrastructure tier than one that does not publish or track this metric at all.

    Why Infrastructure Quality Matters Most

    The technical difference between a mining pool that scales cleanly to industrial hashrates and one that buckles under load usually comes down to architecture. This includes how the Stratum protocol handles concurrent connections, whether payout logic scales independently from data ingestion, and whether monitoring is built in from day one instead of added after problems surface.

    One industrial-scale example, Red Rock Pool, reached roughly 2 EH/s of hashrate in its first month, connected more than 10,000 ASIC devices, maintained uptime above 99.9%, kept average latency between 80 and 120 ms, and held its stale share rate under 0.2%. Those results did not come from adding more hardware; they came from architecture designed to handle that scale from the start.

    How to Read Pool Statistics With the Right Filter

    • What is the actual uptime figure, not the rounded marketing number?
    • What payout method is used, and does it match the miner’s tolerance for variance?
    • What is the reported share submission latency during peak network activity?
    • Is the stale share rate or similar processing efficiency data published at all?

    Pools that answer these questions with real operational data are more likely to be built for scale than pools that rely on vague claims.

    The Bottom Line

    Hash price, electricity costs, and difficulty adjustment are all important to Bitcoin mining profitability. But pool selection is one variable miners can control. The data consistently show that infrastructure quality, not marketing claims, determines whether hash power converts into earnings at the rate it should.

    This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before making investment decisions.