According to Bloomberg, as 2024 draws to a close, the Bitcoin surge triggered by President-elect Trump's victory in early November is stalling. Since peaking in mid-December, Bitcoin has dropped about $15,000.
Pepperstone Group research director Chris Weston stated that Bitcoin's momentum has deviated from its post-election trend, partly due to ETF capital outflows. Meanwhile, software manufacturer MicroStrategy has been aggressively purchasing Bitcoin over the past few weeks. Traders are waiting to see if the company will continue to announce an increase in Bitcoin holdings on Monday.
This year, Bitcoin has risen by about 120%, outperforming traditional investments such as global stocks and gold. Bitcoin has also more than doubled in 2023, recovering from the bear market.
Yesterday, Michael Saylor released Bitcoin Tracker information for the eighth consecutive week, possibly indicating another increase in BTC holdings.
● Bitcoin mining difficulty increased by 1.16% to 109.78 T, setting a new record high
According to PANews, CloverPool data indicates that Bitcoin mining difficulty was adjusted at block height 876,960, increasing by 1.16% to 109.78 T, setting a new historical high. Currently, the average network hash rate is 754.42 EH/s.
● 10x Research predicts that Bitcoin volatility will increase
According to Odaily Planet Daily, 10x Research pointed out in its market analysis that the bull market unexpectedly peaked, with many predicting that Bitcoin will rise by 50% to 150% by 2025. Some even predict that Bitcoin will experience a parabolic trend before Trump's inauguration but will then undergo a significant correction. 10x Research holds a different view. Although the report on December 23 recommended caution and emphasized risk factors, there are now several key data points for traders to evaluate and monitor, with expectations that Bitcoin volatility will soon increase.
According to PANews, tokens such as SUI and OP will see significant unlocks this week, including:
Sui (SUI) will unlock approximately 64.19 million tokens on January 1, 2025, at 08:00 (UTC+8), accounting for 2.19% of the current circulating supply, valued at approximately $270 million;
Optimism (OP) will unlock approximately 31.34 million tokens on December 31, 2024, at 08:00 (UTC+8), accounting for 2.32% of the current circulating supply, valued at approximately $58.6 million;
Sleepless AI (AI) will unlock approximately 23.21 million tokens on January 1, 2025, at 08:00 (UTC+8), accounting for 17.85% of the current circulating supply, valued at approximately $14.6 million;
dydx (DYDX) will unlock approximately 8.33 million tokens on January 1, 2025, at 08:00 (UTC+8), accounting for 1.17% of the current circulating supply, valued at approximately $12.8 million;
Ethena (ENA) will unlock approximately 12.86 million tokens on January 1, 2025, at 15:00 (UTC+8), accounting for 0.44% of the current circulating supply, valued at approximately $12.1 million.
● In December, the market value of meme coins dropped by 32.38%, demand slowed down
According to ChainCatcher, in December, the overall market value of meme coins dropped by about 30%, indicating that the momentum and demand for meme-based tokens have slowed down. CoinMarketCap data shows that on December 1, the total market value of meme coins was $120.14 billion. It rose to $137.06 billion on December 9, then fell to $92.67 billion on December 23, a decrease of 32.38%. The current market value is approximately $98.78 billion, down about 14.61% from the beginning of the month.
● NVIDIA plans to launch Jetson Thor in 2025 to boost its robotics business
According to Odaily Planet Daily, NVIDIA, the world’s highest-valued semiconductor company, faces fierce competition in the AI chip manufacturing business and is betting on robotics as the next growth driver. The American tech giant plans to launch its latest generation compact computer for humanoid robots, 'Jetson Thor', in the first half of 2025. NVIDIA positions itself as a leading platform for the upcoming robotics revolution, providing a complete solution from training AI robots to built-in chips.
