【Coin Circle】AI concept tokens have recently shown significant differentiation – not all tokens are rising, but rather those with solid fundamentals and active trading volumes are attracting substantial capital.
Chainlink, Bittensor, and Render, these three projects continue to receive favor, becoming the mainstay of recent market movement. Let’s look at their specific targets: LINK is expected to launch an attack toward $25; TAO has bigger ambitions, targeting $310; RNDR is planning a rebound from $0.012 to $0.015.
Two other projects also have considerable attention – Virtuals Protocol and Fetch.ai. VIRTUAL is stuck around the 200-day moving average at $1.42, whether it can break through will determine subsequent trends; FET is waiting for a golden cross signal, and once it appears, the uptrend could be confirmed.
Here’s an important detail: capital flows are actually very selective, not the entire AI sector is rising. Therefore, choosing the right timing and identifying the right structure is much more reliable than blindly following AI concepts.
AI代币の動きが分化：LINK、TAO、RNDRのうち誰が最初に突破できるか？
【Coin Circle】AI concept tokens have recently shown significant differentiation – not all tokens are rising, but rather those with solid fundamentals and active trading volumes are attracting substantial capital.
Chainlink, Bittensor, and Render, these three projects continue to receive favor, becoming the mainstay of recent market movement. Let’s look at their specific targets: LINK is expected to launch an attack toward $25; TAO has bigger ambitions, targeting $310; RNDR is planning a rebound from $0.012 to $0.015.
Two other projects also have considerable attention – Virtuals Protocol and Fetch.ai. VIRTUAL is stuck around the 200-day moving average at $1.42, whether it can break through will determine subsequent trends; FET is waiting for a golden cross signal, and once it appears, the uptrend could be confirmed.
Here’s an important detail: capital flows are actually very selective, not the entire AI sector is rising. Therefore, choosing the right timing and identifying the right structure is much more reliable than blindly following AI concepts.