South Korea National Tax Service’s Mistake Resulted In $4.8 Million Crypto Loss

The post BlackRock boosts AI and US equity exposure in $185 billion models appeared on BitcoinEthereumNews.com. BlackRock is steering $185 billion worth of model portfolios deeper into US stocks and artificial intelligence. The decision came this week as the asset manager adjusted its entire model suite, increasing its equity allocation and dumping exposure to international developed markets. The firm now sits 2% overweight on stocks, after money moved between several of its biggest exchange-traded funds. This wasn’t a slow shuffle. Billions flowed across multiple ETFs on Tuesday as BlackRock executed the realignment. The iShares S&P 100 ETF (OEF) alone brought in $3.4 billion, the largest single-day haul in its history. The iShares Core S&P 500 ETF (IVV) collected $2.3 billion, while the iShares US Equity Factor Rotation Active ETF (DYNF) added nearly $2 billion. The rebalancing triggered swift inflows and outflows that realigned investor exposure on the back of performance data and macroeconomic outlooks. BlackRock raises equities on strong US earnings The model updates come as BlackRock backs the rally in American stocks, fueled by strong earnings and optimism around rate cuts. In an investment letter obtained by Bloomberg, the firm said US companies have delivered 11% earnings growth since the third quarter of 2024. Meanwhile, earnings across other developed markets barely touched 2%. That gap helped push the decision to drop international holdings in favor of American ones. Michael Gates, lead portfolio manager for BlackRock’s Target Allocation ETF model portfolio suite, said the US market is the only one showing consistency in sales growth, profit delivery, and revisions in analyst forecasts. “The US equity market continues to stand alone in terms of earnings delivery, sales growth and sustainable trends in analyst estimates and revisions,” Michael wrote. He added that non-US developed markets lagged far behind, especially when it came to sales. This week’s changes reflect that position. The move was made ahead of the Federal…

The post Litecoin Fluctuates Below The $116 Threshold appeared on BitcoinEthereumNews.com. Sep 17, 2025 at 23:05 // Price Litecoin price analysis by Coinidol.com: LTC price has slipped below the moving average lines after hitting resistance at $120. Litecoin price long-term prediction: bearish The 21-day SMA support helped to alleviate the selling pressure. In other words, the price of the cryptocurrency is above the 21-day SMA support but below the 50-day SMA barrier. This suggests that Litecoin will be trapped in a narrow range for a few days. If the 21-day SMA support or the 50-day SMA barrier is overreached, the cryptocurrency will trend upwards. For example, if the LTC price breaks through the 50-day SMA barrier, it will rise to a high of $124. Litecoin will fall to its current support level of $106 if the 21-day SMA support is broken. Technical Indicators  Resistance Levels: $100, $120, $140 Support Levels: $60, $40, $20 LTC price indicators analysis Litecoin’s price is squeezed between the moving average lines. It is unclear in which direction Litecoin will move. The moving average lines are horizontal in both charts. However, the price bars are limited to the distance between the moving averages. The price bars on the 4-hour chart are below the moving average lines. LTC/USD price chart – September 17, 2025 What is the next move for LTC? On the 4-hour chart, Litecoin is currently trading in a bearish trend zone. The altcoin is trading above the $112 support and below the moving average lines, which represent resistance at $116. The upward movement is hindered by the moving average lines, which are causing the price to oscillate within a limited range. Meanwhile, the signal for the cryptocurrency is bearish, with price bars below the moving average…

TBC Bank, a prominent player in Uzbekistan’s banking sector, has rapidly become one of the leaders in fintech, driving digital transformation and innovative financial