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Crypto4light
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Dynamics of outflows/inflows of funds into spot Bitcoin ETFs by day $BTC

Dynamics of outflows/inflows of funds into spot Bitcoin ETFs by day $BTC




Aviso legal: Se incluyen opiniones de terceros. Esto no respresenta una asesoría financiera. Puede haber contenido patrocinado. Lee los TyC.
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next ATH for $BTC is still very far away At least retail users aren't Googling Bitcoin yet, despite $71,000 on the board #BTC #Bitcoin
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Bitcoin ETFs from BlackRock and Grayscale crossed the $20 billion mark in record time The total net assets of IBIT are $21.15 billion, and GBTC is $20.37 billion. The funds achieved this result in less than 5 months. The record was previously held by JPMorgan's JEPI ETF, which achieved this in 985 days. The inflow of funds into the bitcoin ETF has been going on for 17 days in a row $BTC
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io net (IO) on #Binance Launchpool Binance announced the 55th project on Binance Launchpool - io net (IO) Users will be able to stake their BNB and FDUSD in separate pools for IO token farming for 4 days starting June 7, 00:00 (UTC). Supported pools: - $BNB pool: 17 million IO (85%); - $FDUSD pool: 3 million IO (15%). The IO listing is expected on June 11. #Launchpool #IONET #BNB
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The trial with Dapper Lab has ended. In 2021, a class action lawsuit was filed against Dapper Labs . The lawsuit alleged that the company violated US securities laws (We are talking about the NBA Top Shot NFT collection) As a result , Dapper Labs reached an agreement and agreed to pay $4,000,000. Why its interesting? The Flow network was developed by Dapper Labs, so personally for me $FLOW  main targets still relevant #FLOW/USDT
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The most common reasons for the loss of crypto assets - Leakage of private keys - 32%; - Phishing with transaction signing - 18% . - Downloading fake wallets and trading applications - 16%; - Address spoofing and phishing by Trojans - 13%; - Attacks by professional hacker groups - 6%; - Phishing in instant messengers, including fake chat applications - 8%; - Attacks on trading platforms - 4%; - Transfer errors, Ponzi, loopholes in smart contracts, etc. — 3%. #crypto
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