Ethereum hits entire deflationary week, first in coin history For the first time since the introduction of the fee-burning mechanism, Ethereum has reached its first whole week of negative issuance in the history of the
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Ethereum, the altcoin king has seen a steady rise, hitting an ATH of $ 4,440.77 and still trading at a modest $ 4,330.08. While price predictions and anticipations of a run to another ATH are
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Bitcoin (BTC) is rapidly approaching its final resistance area and is currently less than $2,000 below the all-time high price. While technical readings are still bearish, the number of waves indicates that BTC is approaching the
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This analysis takes a closer look at some of the structural measures in the Bitcoin market and compares the current cycle to that of 2017. The following is compiled by on-chain analyst CryptoVizArt for CryptoPotato.
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The emergence of short-bodied candlesticks highlighted a period of indecision among buyers as ETH gained a foothold above $ 3,500. The world’s largest altcoin now awaited a catalyst to break though its consolidation phase and
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In today’s chain analysis, BeInCrypto examines several fundamental metrics that highlight the health of the Bitcoin network: the hash rate and the mining difficulty ribbon. In addition, the analysis points to the accelerating total transfer
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BeInCrypto examines on-chain indicators for Bitcoin (BTC), specifically Coin Destroyed Days (CDD) and Binary Coin Destroyed Days (Binary CDD). These indicators are used with the purpose of determining the age of BTC that are currently being
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Bitcoin (BTC) is moving in a sharp upward rally on the path to a new all-time high price. While a short-term decline could occur, BTC should gradually move towards a new high. Bitcoin increased considerably on
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Ethereum’s price moved higher after the bulls reacted well to a symmetrical triangle pattern on the chart. A 14% jump from the upper trendline pushed ETH towards the $3,500-mark. Additionally, both the MACD and the
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In this article, BeInCrypto looks at on-chain bitcoin indicators like the number of transactions and address count. This is done in order to compare the models with previous market cycles. The number of BTC transactions
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