# Сопутствующие статьи по теме Finance

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Finance", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

If We Gathered the Most Accurate Gold Forecasters in History, Could We Crack the Future Price of Gold? I've Compiled a Decade of the Most Accurate Gold Analysis

This analysis investigates whether compiling the most accurate historical predictions on gold prices from top analysts, institutions, and famed forecasters can unlock future price movements. After examining over a decade of data, the findings reveal that no single expert or entity consistently predicts gold prices accurately. Key observations include: - **Wall Street institutions** (e.g., LBMA, Goldman Sachs, JPMorgan) often exhibit "lagging predictions," adjusting targets only after trends are established, frequently underestimating actual price moves. - **Prominent gold bulls** (e.g., Peter Schiff, Jim Rogers) persistently advocate for higher prices over long horizons but lack timing precision, leading to extended periods of underperformance. - **"Prophetic" forecasters** (e.g., Nouriel Roubini, Ben McMillan) have moments of accuracy but also significant misses or limited track records, undermining their reliability. The study notes a pattern similar to the 2011 gold peak: extreme bullish predictions often cluster near market tops, followed by sharp corrections. Current forecasts for gold range widely from $5,400 to $35,000, reflecting high disagreement even among experts. The conclusion is that there is no consistent "most accurate" predictor for gold prices. Relying on expert consensus or individual forecasts proves chaotic and unreliable. Instead, the author advocates for a strategy akin to Ray Dalio’s: avoiding precise price predictions, embracing uncertainty, and using portfolio allocation (e.g., 5-15% in gold) for long-term risk management.

marsbit04/02 12:42

If We Gathered the Most Accurate Gold Forecasters in History, Could We Crack the Future Price of Gold? I've Compiled a Decade of the Most Accurate Gold Analysis

marsbit04/02 12:42

Dialogue with BlackRock's Head of Digital Assets: How Do Tokenized Stocks Work?

The article "Dialogue with BlackRock's Digital Asset Head: How Do Tokenized Stocks Work?" features a discussion with industry experts including Robert Mitchnick (BlackRock), Rob Hadick (Dragonfly), and Noah Levine (a16z). The conversation explores the evolution and mechanics of tokenized assets, particularly stocks. Key takeaways highlight that tokenization is primarily an "access" story, enabling broader investor participation in traditionally hard-to-reach asset classes, rather than just an efficiency improvement. Stablecoins are evolving from payment tools into foundational financial infrastructure, acting as an entry point for investment and asset management. Most current "tokenized stock" offerings are transitional, often representing derivative-like structures rather than true on-chain ownership, with limitations like transfer restrictions due to whitelisting and compliance requirements. The discussion covers three main structures for tokenized equities: SPV-based models, rights-based tokens (e.g., Securitize’s approach), and native on-chain issuance (e.g., Superstate). The latter is seen as the most promising for enabling true composability and functionality like collateralization. Regulatory clarity and infrastructure development are critical for advancing toward permissionless, liquid markets. Initiatives like the NYSE’s partnership with Securitize for 24/7 trading are noted, though the core demand is for improved asset utilization efficiency, not just extended hours. The piece also differentiates stablecoins (serving cross-border and crypto-native users) from tokenized deposits (focused on banking efficiency), predicting both will coexist. Privacy emerges as a growing need in on-chain capital markets, with technologies like ZK-proofs gaining relevance. Long-term, tokenization could flatten financial market structures by reducing intermediaries, lowering costs, and expanding access, ultimately integrating crypto infrastructure into mainstream finance.

marsbit04/01 14:54

Dialogue with BlackRock's Head of Digital Assets: How Do Tokenized Stocks Work?

marsbit04/01 14:54

The Time of Machines: When Agents Consume Stablecoins

"The Age of Machines: When Agents Consume Stablecoins" explores the convergence of AI and cryptocurrency, focusing on the emerging narrative of AI agents as economic actors. The author argues that while AI is rapidly advancing into production and consumption, crypto, particularly stablecoins, is struggling to find its role beyond financialization. The piece begins by reflecting on how AI-powered bots are evolving from nuisances to become autonomous economic entities, potentially even developing a "dislike" for humans. This shift creates a sense of desperation in the crypto community, which is now trying to prove its value to AI by promoting stablecoins as the preferred medium of exchange for agents. A core tension is highlighted: AI is mastering both production and the new "relations of production" by replacing human labor, while crypto remains confined to a narrow financial role. Previous attempts by crypto to capture AI use cases—through decentralized storage, compute, or GPU lending—have largely failed. The author warns that compliant, bank-issued stablecoins on networks like Canton could ultimately prevail over native crypto stablecoins. The emergence of payment protocols for machines, like Stripe's MPP, is noted, but these efforts are seen as integrating machines into the existing traditional financial system rather than creating a new crypto-native one. The crypto industry's strategy of selling stablecoins to AI based on technical merits like cheapness and speed is portrayed as a weak, last-resort effort. The article then pivots to a more promising path for crypto: leveraging volatility. The true potential lies in AI agent economy's ability to generate massive, 24/7 consumption that far surpasses human limits. This creates a new battlefield for crypto—not by providing utility to AI, but by creating speculative assets (Crypto Tokens) that capture the value and FOMO generated by the AI boom (AI Tokens). The ultimate goal should be converting the immense economic activity of AI agents into liquidity for crypto assets. The conclusion states that while Circle's vision of agents using stablecoins offers a story of infinite users to the market, crypto's real strength is its position as a financial laboratory on the frontier, thriving on ambiguity and speculation. The future of the convergence depends on crypto creating volatility and wealth effects from the stable foundation of agent-driven consumption, ultimately completing the cycle from AI Token back to Crypto Token.

marsbit03/30 07:38

The Time of Machines: When Agents Consume Stablecoins

marsbit03/30 07:38

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