Ethereum’s long-term holders (LTH) have displayed a higher level of bullish sentiment compared to Bitcoin’s long-term holders. This shift in market dynamics began in early 2024 and continued to intensify throughout 2025, with the ETH LTH cohort increasing their holdings and dominance to nearly 75%. On the other hand, the BTC LTH cohort has been steadily decreasing their holdings, causing their dominance to fall below 60%.
According to data from analytics firm IntoTheBlock, 74.7% of Ethereum addresses are held by long-term holders, indicating a significant lead over Bitcoin. However, this trend may change once Ethereum reaches its all-time high and holders begin to take profits.
In terms of price performance, Ethereum has lagged behind Bitcoin since early 2024. While Bitcoin surpassed its previous cycle high and reached $108K, making most holders profitable, Ethereum has yet to achieve a similar feat. Many ETH bulls may be holding onto their investments in anticipation of a future rally to break even or make a profit.
Institutional demand for both ETH and BTC has been somewhat distorted in the new year. ETH ETFs are currently experiencing outflows, contrasting with the inflows seen in November. On the other hand, Bitcoin has seen net inflows in the past two weeks, suggesting that BTC could outperform ETH in terms of price performance.
Despite these trends, the ETH/BTC ratio has shown a potential pivot for Ethereum. The ratio dropped to a 4-year low of 0.30, indicating ETH’s underperformance over that period. However, it has formed a double bottom pattern, signaling a potential rebound and a shift in market favor towards ETH.
Following a recent market crash that brought ETH to its December lows above $3K, Ethereum could potentially rebound from the $3K-$3.3K support zone, with an immediate target at $3.6K. This outlook is supported by some ETH traders on social media platforms.
To further strengthen ETH’s recovery, reclaiming the 50-day EMA could be crucial. Overall, the market dynamics between ETH and BTC are continuously evolving, and it will be interesting to see how these trends play out in the coming months. The field of artificial intelligence is rapidly advancing, with new breakthroughs and discoveries happening every day. One of the most exciting areas of AI research is in the development of neural networks, which are computer systems modeled after the human brain.
Neural networks are designed to mimic the way our brains process information, learn, and make decisions. They consist of interconnected nodes, or artificial neurons, that work together to solve complex problems. These networks are trained using large amounts of data, which allows them to learn patterns and make predictions with incredible accuracy.
One of the key advantages of neural networks is their ability to handle unstructured data, such as images, audio, and text. This makes them incredibly versatile and well-suited for a wide range of applications, including image recognition, speech recognition, and natural language processing.
In recent years, researchers have made significant advances in the field of neural networks, particularly in the area of deep learning. Deep learning is a subfield of AI that uses multi-layered neural networks to perform complex tasks, such as image and speech recognition. These deep neural networks are able to learn hierarchical representations of data, which allows them to extract meaningful features and make more accurate predictions.
One of the most famous examples of deep learning is AlphaGo, a computer program developed by Google DeepMind that defeated the world champion Go player in 2016. AlphaGo used deep neural networks to learn the game of Go and develop strategies that were beyond human capabilities.
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Despite their many advantages, neural networks are not without their challenges. Training these networks requires large amounts of data and computational power, which can be costly and time-consuming. There are also concerns about the ethical implications of AI, including issues related to privacy, bias, and job displacement.
Overall, neural networks are a powerful tool that has the potential to revolutionize many industries and improve our daily lives. As researchers continue to push the boundaries of AI technology, we can expect to see even more exciting developments in the field of neural networks in the years to come.