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This article delves into four major Bitcoin valuation models: the Production Cost Model, the Stock-to-Flow Model, Metcalfe’s Law, and the AHR999 Hoarding Indicator. By comparing the characteristics and applications of these methods, the article provides readers with a comprehensive perspective on Bitcoin’s value. The Production Cost Model views mining costs as Bitcoin’s price floor, the Stock-to-Flow Model measures scarcity through the stock-to-flow ratio, Metcalfe's Law highlights the exponential impact of user growth on network value, while the AHR999 indicator assists investment decisions by combining short-term dollar-cost-averaging returns with price deviations.

Discover how 0G Labs is transforming the blockchain landscape by integrating advanced AI technology. Learn about their innovative modular AI blockchain, key products, and the visionary team driving their success.

Cool Cats is a collection comprised of 9,999 standard, randomly generated Non-Fungible Tokens (NFTs), akin to Profile Picture (PFP) projects such as CryptoPunks. Each Cool Cats NFT is assembled from a variety of unique traits. Ultimately, there exist over 300,000 potential combinations, incorporating distinct elements such as body types, faces, facial hair, hats, glasses, clothing, and more.

The victory of the Trump administration brings new opportunities to the U.S. cryptocurrency market. This article provides an in-depth analysis of how Trump has outlined a blueprint for a "crypto renaissance" in the United States through measures such as appointing crypto-friendly figures (e.g., David Sacks, Paul Atkins), promoting compliance policies (e.g., repealing SAB 121, ending Operation Choke Point 2.0), and family involvement (e.g., the WLFI project). The article delves into key figures in the new administration, regulatory policy adjustments, and the Trump family’s crypto projects, revealing how these factors could reshape the cryptocurrency market landscape, influence investment decisions, and bolster the U.S.'s leadership in the global digital economy.

This article examines the four major mainstream frameworks currently available — Eliza (AI16Z), G.A.M.E (GAME), Rig (ARC), and ZerePy (ZEREBRO) — analyzing their technical differ

The article provides a detailed analysis of the pre-sale situation of SuiPlay0X1, the types and value of ecological airdrops, and the innovative characteristics of G Dollar stablecoin and its potential impact on the game ecosystem.

Learn how Helium Mobile and MOBILE tokens are revolutionizing decentralized wireless networks. Explore MOBILE mining, token economy, and how Helium's blockchain-driven 5G network is reshaping connectivity.

Similar to the traditional liquidity token schemes for ETH, BTC liquidity staking aims to function like a savings account for Bitcoin, allowing users to deposit and withdraw at any time while earning interest. Additionally, the liquidity staking tokens can be used to earn returns in other DeFi projects (e.g., providing liquidity, lending, etc.). Staking on Babylon can be compared to a fixed-term deposit, offering higher returns but with less flexibility for withdrawals.

AVS stands for Active Validation Services, a term that essentially describes any network requiring its own validation system (e.g., oracles, DA, cross-chain bridges, etc.), which can be understood as projects using restaking services. By comparing Eigenlayer, Symbioticfi, and Karak Network, we can see more mature solutions and development potential, illustrating how AVS and restaking technologies eliminate the burden of building underlying trust networks, allowing projects to focus on developing new features and better decentralization.

This article delves into the development trends and investment logic within the AI Agent field, with a particular focus on analyzing framework-based projects in detail. It introduces the basic concepts and functionalities of AI frameworks, and demonstrates their performance and potential across different application scenarios through specific case studies such as Eliza, G.A.M.E, Rig, and ZerePy. Additionally, from technical, market, and investment perspectives, the article compares the similarities between AI Agents and the BTC ecosystem, exploring the significance of bringing AI Agents onto the blockchain and the potential innovations this may bring in the future.

This article, Overview and Recommendations on Regulatory Policies for Cryptocurrencies in Major Countries and Regions, aims to provide a comprehensive analysis of the global cryptocurrency regulatory landscape, offering valuable trading references for investors and decision-makers. The report begins with big data statistics on global cryptocurrency legalization and regulatory policies, outlining the legal status of cryptocurrencies in different countries and categorizing them based on these legal statuses. The focus of the research is on G20 countries, which account for a significant portion of the global population, trade volume, and GDP, making their regulatory policies of crucial reference value for the world.

This report summarizes Web3 industry fundraising activities in November 2024. The industry completed 121 funding deals totaling $1.76 billion—a 28.45% decrease from the previous month. Fundraising approaches showed greater diversity, highlighted by MARA's convertible bond issuance and OG Labs' innovative combination of seed round financing and token purchase commitments. Blockchain services and public chain sectors attracted the most investment attention. The report explores key funding achievements from notable projects, including 0G Labs, StakeStone, KGeN, Noble, and Deblock.

This article explores the convergence of cryptocurrency and AI through five key categories: AI-themed meme tokens, social media AI agents, decentralized GPU networks, AI ecosystem marketplaces/agent platforms, and AI decentralized operating systems. Based on personal investment experience, the author examines each category's unique features, growth potential, and investment approaches. Special attention is given to real-world applications of projects like IO.NET and 0g Lab, alongside valuable perspectives on data privacy and AI governance. The piece offers a comprehensive analysis that seamlessly blends technical insights with hands-on experience.