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Bitcoin stabilizes above 100,000 dollars, trading recently around 103,000 dollars. Meanwhile, Bitcoin ETFs listed in the United States are showing impressive momentum. Recent inflow statistics have reignited investor interest. Indeed, the price movement of BTC now appears to be closely correlated with these financial instruments. This synchronicity is no longer a coincidence: it is a market signal. Since their launch in January 2023, Bitcoin ETFs have experienced a zigzag progression. After a mixed start, the market is now witnessing a fifth consecutive week of positive inflows . The last week, in particular, left an impression with over 603 million dollars injected. On Friday, May 16, the figures were unequivocal: 260 million $ flowed in a single day. Notably, no ETF recorded outflows that day. These performances confirm increasing institutional mobilization. Key figures: Despite this apparent strength, the pace is slowing. The last week of April crossed the billion-dollar mark, compared to only 600 million recently. Yet institutional support remains massive, structured, and strategic. The BTC price remains calm, but this calm hides a strategic accumulation. Bitcoin oscillates within a narrow range, around 103,362 $. On the surface, everything seems frozen. In reality, ETF data strongly influence price expectations. Analyst Ali noted : A massive rejection at 105,900 $. The crucial support for bitcoin is now at 103,400 $ and 101,300 $. In other words, the market remains technically tense. A 5% drop or a 13% rise are possible depending on the direction taken. Rekt Capital, for his part, warns: “2025 will be the year of the peak of bitcoin’s bull market.” Thus, even in the absence of immediate volatility, bullish fundamentals are accumulating. Meanwhile, ETF flows reveal ongoing institutional consolidation. Data shows ETFs have experienced only one negative day out of five, a clear sign of resilience despite general caution. While prices stagnate, whales accumulate between 93,000 and 95,000 dollars. Why? Because on-chain data indicates real, spot demand, far from derivative products. Coinbase recorded buying pressure, Binance reduced its sales. This precise signal drives large holders to buy massively . It is a disciplined buy-the-dip strategy that could well foreshadow the next bullish cycle.

$FHE As privacy concerns intensify in the age of AI and decentralized computing, Fully Homomorphic Encryption (FHE) is emerging as a game-changing technology. Mind Network is leading the charge to integrate FHE into the Web3 and Agentic AI stack — enabling encrypted computation without compromising performance or user control. In this exclusive interview, the Mind Network team breaks down how FHE works, why it matters now, and what it means for the future of privacy, DeFi, and decentralized intelligence. Understanding FHE: Vision and Value 1- Let’s start with the basics. What is Fully Homomorphic Encryption (FHE), and how does it differ from Zero-Knowledge Proofs (ZKPs) and Multi-Party Computation (MPC)? Fully Homomorphic Encryption (FHE) enables computations to be performed directly on encrypted data without ever needing to decrypt it. Unlike Zero-Knowledge Proofs, which validate results without revealing the data, or MPC, which splits computation across parties to maintain privacy, FHE allows a single party to process encrypted information — ensuring both data confidentiality and integrity throughout. 2- FHE has long been considered the “holy grail” of encryption. Why is now the right time for its mass adoption? The convergence of optimized FHE algorithms, hardware acceleration, and software improvements has drastically reduced the computational cost of FHE. At the same time, rising demand for data privacy in blockchain and AI applications makes this the ideal moment for real-world adoption. 3- Why is FHE a must-have in the Web3 and decentralized AI ecosystem — not just a nice-to-have? In decentralized AI and Web3, users need to retain control over their data. FHE ensures that even during computation, sensitive data remains encrypted. This empowers true data ownership and secure collaboration without compromising user privacy. 4- Can FHE replace ZKPs, or is it complementary? Where does it fit in the Web3 cryptographic stack? FHE and ZKPs are highly complementary. While ZKPs verify the integrity of a computation without exposing data, FHE enables the computation itself on encrypted inputs. Together, they create a powerful toolkit for privacy-preserving Web3 applications. Architecture & Technical Innovation 5- How is FHE integrated into Mind Network’s system architecture? FHE is foundational to Mind Network's architecture. It powers secure encrypted data storage, processing, and communication modules, enabling end-to-end privacy and verifiable computation. 6- How does FHE enable encrypted consensus in multi-agent workflows? Mind Network allows agents to reach consensus over encrypted data using FHE, maintaining confidentiality while verifying integrity — a key feature for secure, collaborative computation. 7- What computations does your FHE environment support? Can you run smart contracts or AI inference in real-time without decryption? Yes. Mind Network supports encrypted smart contract execution and AI model inference directly on encrypted data, ensuring confidentiality without sacrificing functionality. 8- FHE is known for performance bottlenecks. What breakthroughs have made it production-ready? We've implemented algorithmic enhancements, integrated hardware acceleration, and optimized data structures to reduce latency — bringing FHE closer to real-time performance. 9- Which FHE libraries inspired Mind Network? Have you built your SDK from scratch or built on top of existing frameworks? While frameworks like Zama, Microsoft SEAL, and TFHE have influenced the space, Mind Network developed a proprietary FHE SDK, custom-built to serve decentralized AI and blockchain needs with enhanced efficiency. Security, Privacy & Trust Framework 10- How does FHE enhance your four-pillar security model: computation, communication, consensus, and data security? FHE strengthens each layer: Computation: Data remains encrypted during processing. Communication: Encrypted data is transmitted securely. Consensus: Agents reach encrypted consensus without leaks. Data: Confidentiality is preserved end-to-end. 11- How can users trust encrypted AI outputs or smart agent decisions without seeing raw data? We pair FHE with cryptographic proofs to validate computation accuracy, ensuring trust in outcomes without compromising data privacy. 12- Are there attack vectors in FHE networks? How are you addressing risks like noise growth and side-channel attacks? Our approach includes advanced cryptography, real-time monitoring, and regular audits to mitigate threats like ciphertext malleability, noise growth, and hardware-based side-channel vulnerabilities. 13- How do agents collaborate in private while protecting their logic and inputs from each other? With FHE, agents can process and exchange encrypted data — enabling secure collaboration without revealing private logic, inputs, or outputs. Use Cases & Real-World Impact 14- What’s one real-world use case where FHE unlocked something impossible with traditional encryption? In partnership with DeepSeek, Mind Network enabled secure AI collaboration via FHE — allowing multiple agents to work on encrypted data without revealing anything, which legacy encryption couldn’t support. 15- What did FHE enable in your collaboration with DeepSeek? DeepSeek’s agents could perform encrypted AI computations while maintaining full data privacy — critical for secure, cross-agent collaboration in sensitive tasks. 16- What types of developers or industries are using your FHE SDK today? Developers from healthcare, finance, identity management, and AI sectors are leveraging our FHE tools to build privacy-first, encrypted applications. FHE Tokenomics & Ecosystem Incentives 17- How does the $FHE token power your encrypted compute economy? $FHE is used for governance, staking, and paying for encrypted compute and storage — incentivizing network participation and maintaining decentralized trust. 18- How are node operators rewarded for encrypted computation? Node operators earn $FHE based on computing resources contributed and tasks completed. Our staking and reward system discourages spam and encourages efficient processing. 19- Will $FHE also power private DeFi applications? What’s the long-term vision for its role in Web3? Absolutely. $FHE will enable privacy-preserving DeFi, data marketplaces, and decentralized applications where privacy and secure computation are essential. Challenges, Regulation & Long-Term Vision 20- What are FHE’s biggest technical limitations today — and how are you tackling them? The main challenge is latency. We’re investing in ongoing algorithmic refinement, parallelization, and hardware optimization to make FHE scalable and production-ready. 21- Could FHE face regulatory scrutiny in sectors like finance and healthcare? Yes, due to its privacy-preserving nature. Mind Network proactively engages with regulators to ensure compliance, while advocating for secure, responsible innovation. 22- In 5–10 years, how will FHE transform Web3 if widely adopted? FHE will be foundational to a new era of decentralized applications. It will empower users with full data control, enable trustless collaboration, and unlock AI systems that are private, verifiable, and censorship-resistant. 23- What is Mind Network’s ultimate mission with FHE? Our goal is to become the privacy compute layer of Web3 — delivering encrypted computation infrastructure for AI, DeFi, identity, and beyond.

The latest on-chain data shows that Bitcoin’s Realized Capitalization—the total value of all UTXOs ever moved on the Bitcoin network—has hit an all-time high of $906.04 billion. This is no small claim, as this is the fourth consecutive week that Bitcoin has set a new record for the metric. The figure was recorded on May 18, 2025, just ten days after the consolidation phase around $104,731 began. Behind that number is a story of how investors are starting to move. Since May 8, the value of UTXOs has increased by about $14.39 million, meaning that there has been a surge of investment flowing into the network in a short period of time. In percentage terms, this is an increase of 1.61%. It may sound small, but on the scale of Bitcoin , it is no joke. On the other hand, the group of holders with balances of 100 to 1,000 BTC has increased their holdings. They originally held 5,561,467 BTC, now the figure has increased to 5,684,007 BTC. That’s an addition of 122,540 BTC in 10 days. Just imagine, one entity has 100 BTC, now imagine hundreds of them collecting more—that’s the picture. Still in the same territory, namely the question of who is actually ‘buying up’ Bitcoin during this price consolidation. Data from the ETF sector shows that only one big name has increased its holdings: BlackRock. They shifted their position from 621,600 BTC to 631,902 BTC, up around 10,302 BTC or 1.66%. Other ETFs? Some have let go a little, while others have simply stayed put. Interestingly, this wave of accumulation is not only coming from big players. CNF reported a few days ago that retail investors are slowly starting to enter the market again. Activity from small holders is starting to increase. The signal is quite clear—although the spot and futures markets still feel cautious, confidence is starting to grow at the grassroots. However, Ali Martinez, an on-chain analyst who frequently appears on various crypto channels, said that the CVDD (Cumulative Value Days Destroyed) metric places Bitcoin’s potential peak price at around $120,000 in the current bull cycle. But that only applies if Bitcoin can maintain support at $90,000. If it fails? It could be a different story. Furthermore, network pressure is also starting to be felt. The average Bitcoin on-chain transaction fee jumped to $2.40 as of May 19, almost doubling from the beginning of the month. This is not bad news, but rather an indication that transaction demand is high. Meanwhile, as of press time, BTC is trading at about $103,175.94, slightly down 0.70% over the last 24 hours and moving sideways over the last 7 days.

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