MinerstatMinerstat

Qubitcoin (QTC) 挖矿

可用算法: Qhash · 全网算力 10.01 TH/s

可信度 65/100 Medium confidence

为什么是这个分数?

  • Freshness100
  • Market data60
  • Network data100
  • Pool coverage0
  • Source coverage100
  • Identity0
How confidence is calculated →

价格

$0.00068

市值

$0

24小时成交量

$1,064

难度

5.517e+15▲ 2.0%

全网算力

10.01 TH/s

区块奖励

50 QTC

出块时间

551s

最新高度

114571

QTC 历史数据

自动快照,随时间聚合。

价格(USD)min $0.44 · max $0.85
Oct 1Oct 29Oct 31
全网算力min 3.258 TH/s · max 18.82 TH/s
Oct 1Oct 29Oct 31
难度min 3.274e+15 · max 8.751e+15
Oct 1Oct 29Oct 31
每 H/s 日收益(USD)min $2.89e-10 · max $8.54e-10
Oct 1Oct 29Oct 31

QTC 挖矿计算器

使用您的算力挖掘 QTC 的预估收益、成本和利润。

周期预估奖励预估收入成本预估利润
每小时0.00326261 QTC$0.00000.00000000 BTC$0$0.0000
每天0.07830274 QTC$0.00010.00000000 BTC$0$0.0001
每周0.54811920 QTC$0.00040.00000000 BTC$0$0.0004
每月2.3491 QTC$0.00160.00000002 BTC$0$0.0016

QTC 最佳硬件

按 $0.08/kWh 基准计算利润,可在计算器中调整。

我的配置 →
矿机日收入日利润评分风险
AMDAMD RX 6500 XT$0.00021$-0.0626/100
NvidiaNvidia GTX 1660$0.00020$-0.0626/100
NvidiaNvidia RTX 5050$0.00037$-0.0726/100
NvidiaNvidia RTX A2000$0.00033$-0.0826/100
NvidiaNvidia GTX 1660Ti$0.00022$-0.0826/100
AMDAMD RX 5500 XT$0.00021$-0.0826/100
AMDAMD RX 6600$0.00036$-0.0826/100
NvidiaNvidia RTX 3050$0.00027$-0.0826/100
IntelIntel Arc A380$0.0000021$-0.0826/100
NvidiaNvidia GTX 1660 Super$0.00020$-0.0826/100

关于 Qubitcoin 的常见问题

How long does it take to mine 1 QTC?

At the current Qubitcoin difficulty it would take about 3 days with AMD RX 6500 XT.

What is the current Qubitcoin difficulty?

Qubitcoin network difficulty is currently 5.517e+15.

What is the current Qubitcoin network hashrate?

Qubitcoin network hashrate is currently 10.01 TH/s.

Which hardware can mine Qubitcoin?

Qubitcoin runs on the Qhash algorithm: the strongest listed devices today are AMD RX 6500 XT (GPU). See the full ranking in the hardware table above.

Is Qubitcoin worth mining?

With AMD RX 6500 XT, mining QTC stays profitable as long as your electricity costs less than $0.000098 per kWh. Run your own numbers in the calculator above.

网络数据更新于 just nowMethodology