🔥ME News, December 13 (UTC+8), according to CoinMarketCap | jagtar official on Binance Square

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🔥ME News, December 13 (UTC+8), according to CoinMarketCap market data, BNB has broken through $900, currently trading at $900.10, with a 24H gain of 2.9%. [CoinMarketCap]$BNB $ASTER 

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🔥On December 14 (UTC+8), Strategy founder and Executive Chairman Michael Saylor retweeted a news report on the X platform that the company will continue to remain on the NASDAQ 100 index. He also responded by saying, "Will continue to HODL Bitcoin until the market complains stop." (Source: X)$BTC

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🔥On December 14 (UTC+8), according to sources, Bitcoin mining facilities in multiple regions of Xinjiang are shutting down on a large scale, leading to a significant drop in the network's total computing power$BTC

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🔥December 13th, according to Coinglass data, in the past 24 hours, there was a total of $311 million in liquidations across the entire network, with $265 million in long liquidations and $45.5184 million in short liquidations. In the past 24 hours, a total of 101,384 people were liquidated globally, with the largest single liquidation occurring on Hyperliquid - ETH-USD worth $5.6806 million$ETH $HYPE

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🔥$On December 13th, despite the Federal Reserve's expected interest rate cut and the release of unexpectedly dovish signals this week, the real challenges faced by the artificial intelligence sector have led to a complex and divergent situation in the US stock and bond markets. This week, long-term US Treasury yields generally rose, with the 10-year US Treasury yield rising by about 5 basis points during the "Federal Reserve interest rate cut week." The macroeconomic outlook for next week is as follows: Monday 22:30, Federal Reserve Governor Mian will deliver a speech; Monday 23:30, FOMC permanent voting member and New York Fed President Williams will deliver a speech on the economic outlook; Thursday 01:30, 2027 FOMC voting member and Atlanta Fed President Bostic will deliver a speech on the economic outlook; Thursday 21:30, US November unadjusted CPI annual rate/core CPI annual rate, US November seasonally adjusted CPI monthly rate/core CPI monthly rate; Thursday 21:30, US initial jobless claims for the week ending December 13; Friday 23:00, US December University of Michigan Consumer Confidence Index final value, US December one-year inflation rate expectation final value. The release of US CPI data next week will be a key turning point for the dollar's movement. If the CPI data is lower than expected (the latest data is currently 3.00%, still higher than the Federal Reserve's target of 2.00%), it will further confirm the rationality of the Federal Reserve's interest rate cut cycle, and the dollar may face further downward pressure; otherwise, it may reverse this trend$BTC $ETH $SOL

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🔥$VIRTUAL $KITE $FET On December 13, according to CoinDesk, industry insiders noted that machine learning in the crypto trading space has not yet reached a widespread adoption phase akin to an "iPhone moment," but AI-driven automated trading agents are rapidly approaching this tipping point. As algorithm customization and reinforcement learning capabilities improve, a new generation of AI trading models is beginning to move beyond simply pursuing absolute profit and loss (P&L), instead incorporating risk-adjusted metrics such as the Sharpe ratio, maximum drawdown, and value at risk (VaR) to dynamically balance risk and return across different market conditions. Michael Sena, Chief Marketing Officer at Recall Labs, said that in recent AI trading competitions, specially customized and optimized trading agents have clearly outperformed general large models, which only slightly beat the market when executing trades autonomously. The results show that specialized trading agents—enhanced with additional logic, reasoning, and data sources—are gradually surpassing base models. However, the "democratization" of AI trading has also raised concerns about whether alpha advantages might be quickly eroded. Sena pointed out that those who will truly benefit in the long term will still be institutions and individuals with the resources to develop private, specialized tools. The most promising future form may be an AI-driven "smart portfolio manager" that still allows users to set their own strategy preferences and risk parameter

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