Blockchain

Glassnode's on-chain data and market structure analysis indicate that the recent underperformance of Bitcoin (BTC) and Ethereum (ETH) relative to most risk assets is not solely driven by macroeconomic factors. Rather, it is a structural outcome stemming from the late stage of a deleveraging cycle, combined with low trading activity and weak liquidity. From a longer-term cyclical perspective, however, both assets continue to hold enduring advantages.

The SEC’s intended rollout of a crypto innovation exemption mechanism in January has been postponed under pressure from major Wall Street players. JPMorgan, Citadel, and others insist that the current federal securities law framework must remain in force, rejecting broad exemptions for tokenized securities. The latest guidance on tokenized securities marks a shift in regulatory emphasis—from technical structure to economic substance—which could influence the compliance strategies and innovation pace for RWA and DeFi.

This article leverages Hamilton Helmer’s “Seven Powers” framework to systematically deconstruct how competitive moats form in the crypto ecosystem. It reinterprets economies of scale under open blockchain conditions as the “Lindy Effect Economy,” and breaks down network effects into liquidity coordination and decentralized robustness. The analysis precisely highlights how reverse positioning becomes more pronounced on-chain, switching costs diminish, and risk accumulates due to dependence on smart contracts—demonstrating the unique evolutionary patterns in this environment.

Against the backdrop of the humanoid robotics craze, exemplified by Figure AI's valuation soaring from $500 million to $39 billion and Skild AI tripling its valuation in just seven months, this article offers an incisive analysis of how the RCM protocol is transforming the traditionally closed, high-barrier private equity market into a permissionless system of SubDAO tokens, tradable on DEXs.

This article explores how the New York Stock Exchange's proposals for non-stop trading and faster settlement mechanisms can break the temporal constraints of traditional markets. By enabling real-time transactions and on-chain cash settlement, these innovations aim to reduce idle capital and improve risk-handling efficiency. It further analyzes the profound impact of these changes on institutional capital allocation, clearing methods, and market volatility, revealing the structural transformation of traditional finance as it embraces blockchain principles.

Capital One has acquired Brex—a once high-profile, fast-growing corporate payments company—for $5.15 billion. This article examines the core dynamics behind what appears to be a "fire-sale" transaction, covering Brex’s fundraising history, growth trajectory, and the valuation pressures it faced. It also highlights Capital One’s advantages in low-cost deposits and the competitive edge of its bank-grade balance sheet, revealing how fintech innovation is integrated and reshaped within the established financial system.

This article opens with MSTR's "21/21 Plan," featuring a $2.13 billion BTC accumulation, alongside BMNR's staking of 4.18 million ETH with an annual yield of $590 million. It provides a systematic comparison of the two companies' strategies—MSTR's leverage-driven conviction in coin accumulation versus BMNR's staking productivity model. The discussion analyzes how these approaches may indicate a short-term market bottom under macroeconomic uncertainty, ETF capital outflows, and meme liquidity extraction, while also amplifying medium-term volatility and offering the potential for long-term financial paradigm shifts.

This article begins with ClawdBot's meteoric popularity, tracing Peter Steinberger's full arc: his 13-year B2B entrepreneurship with PSPDFKit, the sense of emptiness and burnout following his exit, and the renewed passion for creation sparked by the AI wave and his own genuine needs. Within just one hour, he assembled a prototype and, leveraging open source, made a second debut in the global developer community.

2025 marks a paradigm shift in the crypto market from "macro-sentiment" to "compliance and microstructure" drivers. Despite global rate cuts, the linear logic of "Rate Cuts = Bull Market" failed, giving way to profound structural differentiation. BTC exhibited high correlation with tech stocks, while RWAs and Stablecoins surged as new liquidity reservoirs. As pricing power shifts from VCs to the secondary market and on-chain derivatives reshape trading, this report analyzes the 2025 liquidity landscape and forecasts a 2026 "Structure-Driven" cycle dominated by institutional pricing.

The article offers insights into the paradigm shifts driven by dual-class share structure revisions, the unlocking of on-chain cash flow sovereignty, and the multi-year opportunities arising from institutional underestimation of S-curve adoption. Moving beyond emotional forecasting, it reconstructs the macro narrative of a parallel financial system emerging amid a global trust crisis.

Bitcoin’s drop from $100,000 to the $80,000 range is driven not only by market sentiment but also by tightening macro liquidity and evolving crypto market structures. This article explores the reasons behind BTC’s sustained weakness and outlines potential risks for the market, with in-depth analysis of Japan’s rate hikes, FOMC expectations, ETF fund flows, and the capital drain caused by meme coins.

In-Depth Analysis: RWA’s Dual Redemption, Chain Abstraction as Backend Infrastructure, and the Arrival of the Wishmaker Era—Blending Historical Perspective with Future Vision.

This article draws parallels between real-world scenarios like binary options hedging and the FlightRadar24 physical data oracle, and the faith-driven economy of the JJ Lin App. It reveals how the competition for information superiority and reliance on subjective judgment introduce significant risks.

This article deciphers a16z's core insights on scaling prediction markets: traditional arbitration mechanisms often struggle to be manipulation-resistant, transparent, and neutral, which hinders market expansion. The author proposes locking specific versions of large language models (LLMs) within blockchain contracts to serve as digital arbitrators, enhancing credibility and transparency. This approach aims to build a reliable foundational layer for explosive growth in prediction markets.

Article Insight: Dual Redemption in RWA, Backendization through Chain Abstraction, and the Rise of the Wishmaker Era—Blending Historical Perspective with Forward-Looking Vision.