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LBRY (LBC) 挖矿

可用算法: LBRY · 全网算力 9.206 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

$0.00082▲ 1.6%

市值

$537,941▲ 1.6%

24小时成交量

$44

难度

9.55B▼ 77%

全网算力

9.206 TH/s▼ 78%

区块奖励

133 LBC

出块时间

68s

最新高度

2218198

LBC 历史数据

自动快照,随时间聚合。

价格(USD)min $0.00081 · max $0.0018
Oct 2Oct 18Oct 31
全网算力min 7.035 TH/s · max 63.73 TH/s
Oct 2Oct 18Oct 31
难度min 8.02B · max 54.46B
Oct 2Oct 18Oct 31
每 H/s 日收益(USD)min $3.19e-12 · max $3.39e-11
Oct 2Oct 18Oct 31

LBC 挖矿计算器

使用您的算力挖掘 LBC 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76.4846 LBC$0.06290.00000081 BTC$0$0.0629
每天1835.6303 LBC$1.50930.00001944 BTC$0$1.5093
每周12849.4121 LBC$10.570.00013610 BTC$0$10.57
每月55068.9089 LBC$45.280.00058327 BTC$0$45.28

LBC 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
GoldshellGoldshell LB-BOX$2.64$2.3340/100
GoldshellGoldshell LB1$1.31$1.1640/100
BaikalBaikal BK-D$1.21$0.2540/100
DDayun Zig M1$0.02$0.002140/100
NvidiaNvidia GTX 1050$0.0012$0.001240/100
BaikalBaikal BK-B$0.60$-0.1637/100
NvidiaNvidia GTX 1060$0.0029$-0.1926/100
NvidiaNvidia GTX 1070$0.0040$-0.2726/100
NvidiaNvidia GTX 1050Ti$0.0015$-0.2926/100
NvidiaNvidia GTX 1080Ti$0.0064$-0.2926/100

关于 LBRY 的常见问题

How long does it take to mine 1 LBC?

At the current LBRY difficulty it would take about 1 hours to mine 1 LBC with Goldshell LB-BOX, or 17 hours with Nvidia GTX 1050.

What is the current LBRY difficulty?

LBRY network difficulty is currently 9.55B.

What is the current LBRY network hashrate?

LBRY network hashrate is currently 9.206 TH/s.

Which hardware can mine LBRY?

LBRY runs on the LBRY algorithm: the strongest listed devices today are Goldshell LB-BOX (ASIC) and Nvidia GTX 1050 (GPU). See the full ranking in the hardware table above.

Is LBRY worth mining?

With Goldshell LB-BOX, mining LBC stays profitable as long as your electricity costs less than $0.68 per kWh. Run your own numbers in the calculator above.

网络数据更新于 25 min agoMethodology