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DreamerRamin
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$BTC 94,280
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$USUAL will increase soon don’t worry very soon $USUAL will reach 1$
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$USUAL Don’t worried investors something amazing will happen just buy and wait
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$BTC Jacob Gadikian, CEO of the blockchain services firm Notional Labs, has recently alleged that Terra’s downfall and UST’s dollar depeg were not caused by Do Kwon, the disgraced founder of the project. Gadikian stated that the real culprit behind this fraud, an unidentified attacker, remains at large. Blockchain Engineer States Terra’s Attacker Remains at Large, Do Kwon Not Liable for $50 Billion Fraud Jacob Gadikian, founder of the Cosmos blockchain services provider Notional Labs, has referred to the downfall of Terra, the algorithmic stablecoin project, as a product of chain disruption. On social media, Gadikian stated that, in his view, the failure of the Terra ecosystem was the consequence of an attack by an unidentified third party. This attack aimed to undermine the Terra blockchain, intending to disrupt the $1 UST peg and profit from arbitrage of the token. He pointed out that, at the time, the set of validators was under attack and that hundreds of millions were being manipulated for no apparent reason. Gadikian also revealed a video demonstrating an attack on the Cosmos hub security testnet, which produced the same effect observed during the alleged attack that caused UST’s depeg. Other investigators concurred with Gadikian, stating that during the depeg, the chain registered a sixfold increase in transactions, attributed to bots. According to Flipside, a blockchain intelligence company, these bots “impeded Terra from being able to use its signature economic model to restore its UST peg.”
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#NFPCryptoImpact What is non-farm payroll? The NFP is a monthly report that estimates the net number of jobs gained in the US in the previous month, excluding those in farms, private households, and non-profit organizations. It is usually released on the first Friday of the month, in an Employment Situation report that also includes the US unemployment rate, average hourly earnings, and participation rate. Although its importance has dimmed somewhat in recent years, the NFP is still one of the most significant economic indicators. Pundits from across the financial markets will attempt to predict the headline NFP figure each month, as well as its potential market impact. Why is NFP important? The Federal Reserve has the mandate to maintain maximum employment in the US, as well as stable prices. So, they’ll pay close attention to the NFP when setting interest rate policy. If employment looks strong, the Fed may consider raising interest rates. If it is weak, lower rates could be in the cards. As the US is the world’s largest economy, any actions by the Fed tend to have a significant impact on global financial markets. But first and foremost, they’ll have a big effect on the USD, so forex traders will monitor the NFP closely and rush to amend their strategies based on the data, or attempt to profit from the volatility. The data is usually released on the first Friday of every month at 8:30 AM ET and reflects the previous month’s data.
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#OnChainLendingSurge The historical borrowing volume reflects the varying nature of leverage within the DeFi market, with periods of increased borrowing corresponding with bullish market sentiment, and vice versa The initial growth phase coincided with the launch of the COMP liquidity mining campaign in June 2020. The correlation underscores the impact that token incentive programs can have on market adoption and growth. However, the chart also highlights the sustainability challenges of such programs, as evidenced by the subsequent contraction from the peak in 2021. Outstanding borrows peaked at $23 billion in December 2021, and bottomed at $3.6 billion in January 2023. The subsequent recovery to $8.3 billion illustrates the market's resilience and potential for future growth. The integration of real-world assets (RWAs) as collateral, in addition to crypto-native assets, represents a significant opportunity for market expansion.
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