FET KursFET

$FET - Mcap 360.5M$ - 85% / 178K votes Bullish SC02 M1 - pending Short order. Entry lies within HVN and is not affected by any weak zone, with an estimated stop-loss around 0.30%. The downtrend is currently in its 349th cycle, with a decline amplitude of 4.21%. #TradingSetup #CryptoInsights

Overnight Breaking News • Bitcoin’s dominance briefly spiked amid a dip in altcoin volumes after a large ETH sell-off. • Fear & Greed Index remains in “fear” range. On-Chain Big Moves • $ETH 10,000 ETH ($18M) moved to exchange wallets likely profit taking. • BTC 5,500 BTC ($495M) shifted between cold wallets accumulation signal. Buybacks & Re-entry • Two major holders pulled ~6,200 BTC off exchanges this morning. • SOL saw ~2M tokens re-delegate back to staking contracts. Token Unlocks • ARB ~22M ARB unlocked today, adding to circulating supply. • SUI ~14.8M SUI unlocked this morning. Pump & Dump • FET pumped suddenly overnight by ~36% on low volume then dumped quickly look at wash trading patterns. Reference Snapshot Exchange inflows spike → profit taking likely. Accumulation metrics still healthy.

AI-Related Cryptocurrencies in Crypto: Are They All AI Projects? With the rise of artificial intelligence in the cryptocurrency space, many investors assume that any AI-related token is an actual AI project. In reality, there are two distinct types of these cryptocurrencies: true AI projects and projects that support the AI infrastructure. First, there are projects where AI is the core of the project. Notable examples include Bittensor (TAO), a decentralized network designed to train AI models and reward contributors who improve them. Another example is Fetch.ai (FET), which focuses on AI “agents,” programs capable of executing automated tasks such as data analysis or decision-making in digital markets. There is also SingularityNET (AGIX), a platform that allows developers to create and sell AI services in an open marketplace. On the other hand, some tokens are not AI projects themselves, but they provide the infrastructure that AI relies on. For example, Render (RENDER) enables sharing GPU power, which is essential for training AI models. Similarly, Akash Network (AKT) offers decentralized cloud computing services suitable for running AI applications. Additionally, The Graph (GRT) provides blockchain data indexing, which AI applications can use to analyze markets or networks. In conclusion, AI-related cryptocurrencies are not all true AI projects. Some develop AI technologies directly, while others provide supporting infrastructure such as computing power or data. Therefore, when evaluating any token in this sector, it is crucial to understand whether it is a genuine AI project or a supporting service for AI.

AI tokens .... $ICP $FET $TAO #NEAR $RENDER #VIRTUAL Some are building infra. Some are building mindshare. A few might define the 2026 narrative. If you could only hold ONE into 2026, which are you picking and why?