online gambling singapore online gambling singapore online slot malaysia online slot malaysia mega888 malaysia slot gacor live casino malaysia online betting malaysia mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 mega888 ETH hash rate hits all time high, mining it is 3X more profitable than BTC

摘要: The Ethereum hash rate broke the 250 TH/s barrier for the first time since Aug. 2018

 


ETH

▲圖片標題(來源:https://cointelegraph.com/)

The amount of computing power on the Ethereum network is currently at an all time high following weeks of volatility in key metrics on the blockchain.

According to data from on-chain analytics provider Glassnode, the Ethereum hash rate hit an all time high of more than 250 terahashes per second (TH/s) on Oct. 6, marking an 80% rise since January. Glassnode reported that a surge in the hype surrounding DeFi projects this year sparking higher gas fees may have contributed to the metric reaching an all time high.

In addition, data from crypto mining pool F2Pool shows that it is currently up to three times as profitable to mine Ethereum (ETH) instead of Bitcoin (BTC).

F2Pool, which calculates mining profitability by determining current revenue (block reward and transaction fees) and deducting the cost of power, reports that BTC Antminer S19 Pro miners can earn $4.33 in profits over 24 hours, while ETH miners using GTX TitanV 8 cards can expect $15.56 over the same period — making it 259% more profitable at present. Six of the mining rigs monitored by F2Pool show Ethereum miners show a daily profit of more than $10, while only two Bitcoin mining rigs have profits of more than $4.

Hash rate is a key metric when determining the health and security of a blockchain. It measures the computing power of the network. The last time the Ethereum hash rate was near these all time high levels was in August 2018, when the metric reached 246 TH/s. However, the price of the token steadily decreased from more than $400 to under $100 by December that year.

詳見全文FULL TEXT: cointelegraph.com

若喜歡本文,請關注我們的臉書 Please Like our Facebook Page:    Big Data In Finance

 


留下你的回應

以訪客張貼回應

0
  • 找不到回應