Indepth Research

Provide in-depth research reports and independent analysis, leveraging data, technology, and economic insights to deliver a comprehensive examination of the blockchain ecosystem, project potential, and market trends.

Expanding Glassnode: Macro and Traditional Finance Data

Glassnode is expanding its product offering to include macroeconomic and traditional finance (TradFi) data, recognizing that digital assets like Bitcoin are now a mainstream asset class increasingly influenced by global financial forces. As institutional participation grows—evidenced by Bitcoin ETFs surpassing $100 billion in AUM by early 2026—Bitcoin's price is more affected by monetary policy, geopolitical risks, and macroeconomic trends. Key metrics now integrated include central bank balance sheets, money supply (M2), interest rates, and government bond yields, which help contextualize Bitcoin within global liquidity cycles. The platform also tracks equity indices, fear gauges, forex rates, and commodities to assess risk appetite and market stress. This shift reflects a structural change: Bitcoin's correlation with traditional risk assets like the S&P 500 has strengthened, driven by institutional capital, post-COVID liquidity cycles, and ETF adoption. Glassnode aims to provide a unified platform for analyzing both on-chain and TradFi data, enabling users to better interpret market moves and regime shifts in a maturing digital asset ecosystem.

insights.glassnodeHace 13 hora(s)

Expanding Glassnode: Macro and Traditional Finance Data

insights.glassnodeHace 13 hora(s)

Don't Say There's Nothing to Do in a Bear Market, These Four Types of Smart People Are Already Quietly Making Money

In a crypto market filled with noise and unproductive debates, opportunities still exist for those who adapt to the new meta. While past trends like Play-to-Earn, Move-to-Earn, and airdrop farming have faded, four current pathways offer real earnings: 1. **X Platform Monetization**: Verified creators can earn $500–$2,000 monthly through X’s revenue-sharing program based on impressions from Premium users. 2. **Ambassador Programs**: Structured programs from projects like Alchemy Pay and Injective offer monthly stable payments (e.g., 200 USDT base) and performance bonuses for community contributions. 3. **Discord Moderators**: Managing Discord servers by answering questions, handling tickets, and banning scammers provides a steady income. 4. **Developer Programs**: Coders can earn through builder initiatives, bounties, and grants. Examples include Zama’s program with 15,000 cUSDT in prizes, Arc’s Architects plan rewarding contributions, and Ink’s grants up to 200,000 USDC for dApp development. The key insight is that opportunities shift with each market phase—from gaming and walking to clicking and now building. Success requires self-assessment: leverage your skills in content creation, community management, or coding instead of waiting for outdated trends. The bear market rewards those who engage actively with their strengths.

marsbitHace 15 hora(s)

Don't Say There's Nothing to Do in a Bear Market, These Four Types of Smart People Are Already Quietly Making Money

marsbitHace 15 hora(s)

Understanding the Key Issues of Tokenization in One Article

The core of tokenization lies in eliminating friction in financial infrastructure, not speculative digital assets. The true value is in near-instant settlement (T+0 vs. traditional T+2), 24/7 liquidity, fractional ownership, and the disintermediation of financial processes. Tokenization represents real-world assets (real estate, bonds, private equity) as digital tokens on a blockchain, functioning as programmable digital deeds that enable self-custody and automated ownership tracking. It addresses four key problems: 1) Settlement Speed: Atomic, near-instant settlement replaces multi-day processes. 2) Liquidity: Enables secondary markets for historically illiquid assets. 3) Fractional Ownership: Drastically lowers investment minimums by automating administrative overhead. 4) Disintermediation: Replaces trust-based functions of custodians and clearinghouses with self-executing smart contracts. This is not about cryptocurrency speculation. Major institutions like J.P. Morgan (Onyx), BlackRock (BUIDL), and Goldman Sachs are building the infrastructure, focusing on reliable asset management. Significant hurdles remain, including uncertain legal frameworks, lack of different blockchain platforms, and resistance from intermediaries protecting their revenue streams. Tokenization doesn't create a frictionless utopia but fundamentally reshapes the cost structure and efficiency of global financial infrastructure, representing its largest reorganization since the advent of electronic trading.

marsbitHace 17 hora(s)

Understanding the Key Issues of Tokenization in One Article

marsbitHace 17 hora(s)

Understanding Stock Tokenization in One Article: Who's Doing It, How to Buy, and What Are the Risks?

In the past 60 days, the U.S. capital market has undergone structural changes surpassing the last decade. The SEC outlined a blueprint for tokenized securities, Nasdaq received approval for token settlement, and NYSE partnered with Securitize to launch a tokenization platform. Despite a global equity market worth ~$140 trillion, tokenized stocks represent only ~$890 million—a 0.0007% penetration. The SEC’s January 2026 statement classified tokenized securities into four models: - **Model A (Issuer-Sponsored)**: Direct on-chain ownership (e.g., Galaxy Digital tokenizing its own stock). - **Model B (Tokenized Securities)**: Intermediated custody with blockchain settlement (adopted by Nasdaq, NYSE, DTC). - **Model C (Pegged Securities)**: Synthetic claims via omnibus accounts (e.g., Ondo Finance, xStocks, Dinari—dominant with ~$650M TVL). - **Model D (Derivative Contracts)**: Pure synthetic exposure (e.g., Ventuals’ perpetual swaps on Hyperliquid). For public stocks, Models C and B lead, but face challenges: Model C introduces counterparty risk (no SIPC insurance), while Model A requires issuer participation. Private market tokenization is more transformative, addressing illiquidity and high barriers in the $7T private equity space. Platforms like PreStocks and Jarsy offer 24/7 tokenized access to pre-IPO stocks (e.g., SpaceX, OpenAI) but lack direct ownership rights. Traditional private equity platforms (Forge, EquityZen) are regulated but slow and expensive. Key risks include fee stacking in SPV structures, regulatory uncertainty, and synthetic products’ high funding rates (e.g., Ventuals’ 54% annualized cost for long positions). Infrastructure players (e.g., Securitize, Berry) are advancing models with independent custody to mitigate risks. The convergence of institutional adoption and retail demand signals a foundational shift in market structure, though scalability and transparency remain critical hurdles.

marsbitHace 22 hora(s)

Understanding Stock Tokenization in One Article: Who's Doing It, How to Buy, and What Are the Risks?

marsbitHace 22 hora(s)

2026 Crypto Industry Investor Relations and Token Transparency Status Report

The 2026 Crypto Investor Relations & Token Transparency Report by Novora analyzes over 150 protocols across major sectors. Key findings reveal a severe transparency gap: less than 1% disclose market maker terms, only 3% have dedicated IR hubs, and just 9% submitted the Blockworks Token Transparency Framework. While 91% of protocols have accessible revenue data, the communication infrastructure to present this to investors is largely absent. Additionally, 62% of tokens offer only governance rights with no active value capture mechanisms. The report concludes that while raw data is available on-chain and via third-party platforms, the critical "translation layer" for institutional adoption is missing. Protocols investing in IR infrastructure now are positioned to gain a significant advantage.

marsbitHace 23 hora(s)

2026 Crypto Industry Investor Relations and Token Transparency Status Report

marsbitHace 23 hora(s)

The DeepSeek You've Been Waiting For Has Long Changed

The article discusses the delayed release of DeepSeek V4, a highly anticipated AI model in China, and explores the reasons behind its slowed development. Initially a leader in the global AI race, DeepSeek has fallen behind competitors like OpenAI, Anthropic, and Google, which release major updates every few months. A key factor is DeepSeek's shift in focus due to national strategic priorities. In early 2025, the Chinese government encouraged the company to use Huawei’s Ascend processors instead of NVIDIA’s GPUs, aligning with broader efforts to achieve technological self-reliance. DeepSeek attempted to train its models on Huawei’s Ascend 910C chips but faced technical challenges, including instability and communication issues during distributed training. As a result, the company continued using NVIDIA hardware for training while only using Ascend chips for inference. In 2026, DeepSeek prioritized adapting V4 to Huawei’s new Ascend 950PR and Cambricon chips, aiming for a full migration from NVIDIA’s CUDA to Huawei’s CANN framework. This adaptation process, particularly ensuring precision alignment across hardware, consumed significant time and resources, slowing down model iteration. The delay also reflects DeepSeek’s evolving role from a purely market-driven entity to a "national mission-oriented" company. This shift has come at a cost: the model now lags behind competitors in areas like code generation and multimodal capabilities, and the company has faced talent drain, with key researchers leaving for better-paying opportunities at larger tech firms. Despite these challenges, V4’s release is seen as a potential milestone for China’s AI industry, demonstrating that advanced models can run on domestic hardware ecosystems. While it may not be a groundbreaking model in terms of performance, its success could validate China’s broader strategy for AI independence.

marsbitAyer 10:32

The DeepSeek You've Been Waiting For Has Long Changed

marsbitAyer 10:32

The State of Crypto VC: Capital Quadrupled, Investors Down 93%, Where Are the Opportunities?

The state of crypto VC in 2025 is marked by a surge in total funding (up 433% to $40-50B) but a sharp decline in active investors—only 377 in Q4 2025, down from 5,500 in 2022. Deal count dropped 42%, with capital concentrated in fewer, larger rounds. Power has shifted decisively to VCs, who now favor later-stage investments, leaving early-stage opportunities with minimal competition. AI absorbed 61% of global VC funding, drawing away generalist and weak-handed investors. Even crypto-native funds like Paradigm expanded into AI and robotics. Regulatory clarity, not Bitcoin’s price, drove capital inflow. The market is bifurcated: mega-rounds (11 deals >$100M took 85% of Q4 funding) dominate, while mid-stage deals vanish. Pre-seed remains viable (23% of deals) but with higher scrutiny. Remaining investors face less competition and better deals. The focus is on infrastructure, revenue-generating, compliant sectors like Web2.5, trade, stablecoins, and payments. Speed and conviction are critical—capital moves fast to top projects. The opportunity is clear; the question is who has the courage to go all-in.

marsbitAyer 09:43

The State of Crypto VC: Capital Quadrupled, Investors Down 93%, Where Are the Opportunities?

marsbitAyer 09:43

Data: 90% of Crypto Protocols Generate Revenue, But Less Than 1% Disclose Market Maker Terms

Survey of 150 major crypto protocols reveals that while 91% generate on-chain revenue, only 8% publish investor reports, and less than 1% disclose market maker agreements. The data indicates a significant communication gap rather than a lack of available information, as third-party platforms cover 72% of protocols. DeFi protocols, particularly DEXs and lending platforms, lead in transparency, while L1 and infrastructure projects lag despite larger market capitalizations. Only 13 protocols have adopted the Token Transparency Framework since its introduction in June 2025. Additionally, 38% of protocols feature active value accumulation mechanisms, which correlate with approximately 19% higher annual returns compared to governance-only tokens. The findings highlight a structural disconnect between institutional investor expectations and current disclosure practices in the crypto industry.

marsbitAyer 06:55

Data: 90% of Crypto Protocols Generate Revenue, But Less Than 1% Disclose Market Maker Terms

marsbitAyer 06:55

YouTube Will Become the Next Neobank

The article argues that YouTube is poised to become the next major neobank, not by becoming a licensed bank, but by embedding financial services directly into its platform. Successful neobanks like SoFi, Monzo, and Nubank historically found success by targeting specific weaknesses in traditional banking, such as high fees or poor credit scoring. However, the author contends that with the commoditization of banking infrastructure through stablecoins, the key differentiator is no longer just the product but the platform itself. Platforms like YouTube, Twitch, Uber, and TikTok possess a deep, data-rich relationship with their users. They have real-time insights into creators' cash flow, growth trajectories, and earnings, enabling them to underwrite credit and offer financial products in ways traditional banks cannot. By bundling banking services like accounts, cards, and loans directly where income is generated, these companies can capture value that currently leaves their ecosystem via traditional payment rails. The piece concludes that the future of neobanking lies not in standalone apps, but as a feature integrated into the platforms that are the source of users' income.

marsbitAyer 03:57

YouTube Will Become the Next Neobank

marsbitAyer 03:57

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