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Evernode (EVR) 挖矿

可用算法: EvrProgPow · 全网算力 876 MH/s

可信度 75/100 High confidence

为什么是这个分数?

  • Freshness100
  • Market data60
  • Network data100
  • Pool coverage0
  • Source coverage100
  • Identity67
How confidence is calculated →

价格

$0.0000071 14%

市值

$71,220 14%

24小时成交量

$21

难度

12.24 8.1%

全网算力

876 MH/s 8.1%

区块奖励

1.25k EVR

出块时间

60s

最新高度

2032054

EVR 历史数据

自动快照,随时间聚合。

价格(USD)min $0.0000077 · max $0.09
Jul 30Sep 9Sep 21
全网算力min 754.6 MH/s · max 22.35 GH/s
Jul 30Sep 9Sep 21
难度min 10.72 · max 394.9
Jul 30Sep 9Sep 21
每 H/s 日收益(USD)min $1.25e-11 · max $8.92e-7
Jul 30Sep 9Sep 21

EVR 挖矿计算器

使用您的算力挖掘 EVR 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8562.2296 EVR$0.06080.00000075 BTC$0$0.0608
每天205493.5115 EVR$1.45800.00001794 BTC$0$1.4580
每周1438454.5806 EVR$10.210.00012557 BTC$0$10.21
每月6164805.3456 EVR$43.740.00053814 BTC$0$43.74

EVR 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
NvidiaNvidia GeForce RTX 4090$1.00$0.3740/100
NvidiaNvidia CMP 170HX$0.56$0.2740/100
AMDAMD RX 7900 XTX$0.83$0.2540/100
NvidiaNvidia RTX 4080$0.71$0.2440/100
NvidiaNvidia GeForce RTX 4080$0.71$0.2340/100
NvidiaNvidia RTX 3080$0.83$0.2240/100
NvidiaNvidia RTX 4070Ti$0.63$0.1940/100
NvidiaNvidia GeForce RTX 4080 Super$0.73$0.1940/100
NvidiaNvidia RTX 3080Ti$0.86$0.1940/100
AMDAMD RX 7900 XT$0.68$0.1940/100

关于 Evernode 的常见问题

How long does it take to mine 1 EVR?

At the current Evernode difficulty it would take about 1 hours with Nvidia GeForce RTX 4090.

What is the current Evernode difficulty?

Evernode network difficulty is currently 12.24.

What is the current Evernode network hashrate?

Evernode network hashrate is currently 876 MH/s.

Which hardware can mine Evernode?

Evernode runs on the EvrProgPow algorithm: the strongest listed devices today are Nvidia GeForce RTX 4090 (GPU). See the full ranking in the hardware table above.

Is Evernode worth mining?

With Nvidia GeForce RTX 4090, mining EVR stays profitable as long as your electricity costs less than $0.13 per kWh. Run your own numbers in the calculator above.

网络数据更新于 just nowMethodology