On-Chain Migration of Precious Metal Assets: WEEX Expands Tokenized Gold and Silver Trading Layout Amid Rising RWA Narrative

marsbitPubblicato 2025-12-31Pubblicato ultima volta 2025-12-31

Introduzione

Amidst global financial market volatility driven by high interest rates and geopolitical uncertainties, gold and silver are gaining renewed attention as stable value assets. This cycle, however, extends beyond traditional finance into the crypto market through the tokenization of real-world assets (RWA). Precious metals tokenization, exemplified by projects like PAX Gold (PAXG), Tether Gold (XAUt), and silver ETF token SLVON, enables 24/7 trading on blockchain. This shift enhances price discovery, liquidity, and accessibility while maintaining 1:1 backing with physical assets. WEEX Exchange has expanded its offerings to include spot and合约 trading for these tokenized metals, positioning itself as a neutral infrastructure provider focused on robust risk management and continuous trading capabilities. The platform emphasizes that RWA integration requires mature technical and operational frameworks to support all-hour markets. Beyond precious metals, this trend signals a broader move toward diversified RWA adoption, with future expansion likely to include more asset types. The focus is shifting from mere on-chain representation to trading depth, liquidity quality, and risk control—key factors in the evolving crypto-traditional finance bridge.

Over the past period, global financial markets have continued to fluctuate in an environment intertwined with high interest rates, geopolitical tensions, and macroeconomic uncertainties. In contrast to the volatility of risk assets, the market has been reassessing stable value assets and real-world asset-anchored targets. Precious metals such as gold and silver, as some of the oldest value storage assets, have once again become a key focus for institutions and investors.

Unlike previous cycles, this wave of attention is not confined to the traditional financial system but is extending into the crypto market. As blockchain infrastructure gradually matures, the tokenization of real-world assets (RWA) is moving from concept to practice, with precious metals being regarded as one of the most representative early adoption scenarios.

From "Holding Physical Gold and Silver" to "On-Chain Mapping," Precious Metals Are Undergoing Structural Changes

In the traditional financial system, precious metal investments have long faced issues such as limited trading hours, fragmented liquidity, and high交割 and custody costs. Even participation through financial instruments like ETFs relies on specific market hours and makes it difficult to manage alongside other assets in a unified manner.

The emergence of precious metal tokenization is not fundamentally about reshaping the attributes of gold and silver but rather about upgrading the trading form and market structure. By anchoring physical gold and silver to on-chain tokens in a 1:1 ratio, these assets can enter the crypto market system, which operates 24/7, showcasing new possibilities in price discovery efficiency, liquidity, and composability.

The emergence of precious metal tokenization does not alter the value attributes of gold and silver but instead incorporates them into the 7×24-hour continuously operating crypto market system through on-chain mapping. This means that precious metal prices are no longer passively reflected during limited trading windows but can continuously undergo price discovery and trading matching in the global market.

Taking the relatively mature tokenized gold projects PAX Gold (PAXG) and Tether Gold (XAUt), currently listed on WEEX Exchange, as examples, their core value does not lie in the "decentralization narrative" but in providing a higher-frequency, more transparent, and more accessible trading form for precious metals. The tokenized silver project SLVON further extends this logic to the precious metal ETF space, enabling traditional financial assets to participate in global trading in digital form.

It is widely believed within the industry that the emergence of such assets represents a relatively low-risk and low-cognitive-cost step in the process of RWA entering the crypto market.

WEEX: Building a Complete 7×24-Hour Trading Scenario for Precious Metal Tokens

As RWA assets gradually enter the on-chain market, the role of trading platforms is also evolving. Platforms are no longer merely "asset listing parties" but need to strike a balance between asset screening, trading structure design, risk control, and user awareness.

WEEX Exchange recently announced the listing of spot and contract trading for tokenized gold PAXG, XAUt, and tokenized silver ETF project SLVON, covering various trading scenarios and providing users with more comprehensive trading options for precious metal assets.

Unlike the listing of a single asset, the core of WEEX's current layout lies in the systematic introduction of stable-value assets and their integration into a 7×24-hour trading system. By combining spot and contract trading, users can not only participate in precious metal price fluctuations at any time but also conduct more flexible risk management and strategy adjustments during market changes.

Ethan, Co-founder and Chief Security Officer of WEEX, stated in a previous public exchange that RWA is not a short-term narrative but a long-term project with extremely high requirements for trading infrastructure. "When real-world assets enter the on-chain market, and trading hours shift from 'limited periods' to '24/7 operation,' platforms need to possess more stable system architectures and more mature risk control mechanisms to sustain the continuous trading demand for such assets."

In his view, trading platforms should play the role of neutral infrastructure providers in the RWA process, rather than merely pursuing the expansion of asset quantities. This also means that when introducing real-world assets like precious metals, platforms need to maintain a balance between liquidity, trading continuity, and risk control.

Starting with Precious Metals, RWA Asset Trading Is Moving Towards Diversification

From a longer-term perspective, precious metal tokenization is not the end goal but rather a "stress test" for RWA assets entering the crypto market. Their trading activity, user participation, and risk performance are providing reference samples for the subsequent onboarding of more real-world assets.

Based on this assessment, WEEX Exchange is simultaneously advancing the construction of a precious metals trading zone and may gradually launch more types of precious metal token projects in the future, expanding the coverage of real-world asset trading.

From the industry's perspective, as RWA-related products gradually increase, the market's focus will shift from "whether assets are on-chain" to trading depth, liquidity quality, and risk management capabilities. This also places higher demands on trading platforms.

In the evolving crypto market, tokenized precious metals may represent not a short-term hot asset but a transitional form connecting traditional finance and the crypto market. The infrastructure development围绕 this form is becoming an important direction for the differentiated competition among trading platforms.

Domande pertinenti

QWhat is the core value proposition of tokenized gold and silver assets like PAXG, XAUt, and SLVON according to the article?

AThe core value proposition is not about decentralization, but about providing a higher-frequency, more transparent, and more accessible trading form for precious metals, integrating them into a 7x24-hour continuous crypto market system for more efficient price discovery and liquidity.

QHow does the article describe the role of trading platforms like WEEX in the RWA tokenization process?

AThe article states that platforms are evolving from being mere 'asset listing parties' to acting as neutral infrastructure providers. They must balance asset selection, trading structure design, risk control, and user understanding, requiring stable system architecture and mature risk mechanisms to handle continuous trading.

QWhat are the traditional challenges of investing in precious metals that tokenization aims to solve?

ATraditional challenges include limited trading hours, fragmented liquidity, and high costs associated with physical delivery and custody. Even participation through ETFs is restricted to specific market hours and is difficult to manage alongside other assets in a unified way.

QWhat broader trend does the tokenization of precious metals represent beyond just a new asset class?

AIt represents a 'stress test' and a transitional form connecting traditional finance with crypto markets. It is seen as a relatively low-risk, lower-cognitive-cost step for RWA entering the crypto space, paving the way for more diverse real-world assets to be tokenized.

QWhat future developments does the article mention for WEEX's involvement in RWA trading?

AThe article mentions that WEEX is advancing the construction of a precious metals trading zone and may subsequently launch more types of precious metal token projects, gradually expanding the coverage of real-world asset trading on its platform.

Letture associate

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

In recent months, the rapid growth of the AI industry has attracted significant talent from the crypto sector. A persistent question among researchers intersecting both fields is whether blockchain can become a foundational part of AI infrastructure. While many previous AI and Crypto projects focused on application layers (like AI Agents, on-chain reasoning, data markets, and compute rentals), few achieved viable commercial models. Gensyn differentiates itself by targeting the most critical and expensive layer of AI: model training. Gensyn aims to organize globally distributed GPU resources into an open AI training network. Developers can submit training tasks, nodes provide computational power, and the network verifies results while distributing incentives. The core issue addressed is not decentralization for its own sake, but the increasing centralization of compute power among tech giants. In the era of large models, access to GPUs (like the H100) has become a decisive bottleneck, dictating the pace of AI development. Major AI companies are heavily dependent on large cloud providers for compute resources. Gensyn's approach is significant for several reasons: 1) It operates at the core infrastructure layer (model training), the most resource-intensive and technically demanding part of the AI value chain. 2) It proposes a more open, collaborative model for compute, potentially increasing resource utilization by dynamically pooling idle GPUs, similar to early cloud computing logic. 3) Its technical moat lies in solving complex challenges like verifying training results, ensuring node honesty, and maintaining reliability in a distributed environment—making it more of a deep-tech infrastructure company. 4) It targets a validated, high-growth market with genuine demand, rather than pursuing blockchain integration without purpose. Ultimately, the boundaries between Crypto and AI are blurring. AI requires global resource coordination, incentive mechanisms, and collaborative systems—areas where crypto-native solutions excel. Gensyn represents a step toward making advanced training capabilities more accessible and collaborative, moving beyond a niche controlled by a few giants. If successful, it could evolve into a fundamental piece of AI infrastructure, where the most enduring value in the AI era is often created.

marsbit9 h fa

Gensyn AI: Don't Let AI Repeat the Mistakes of the Internet

marsbit9 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

A US researcher's visit to China's top AI labs reveals distinct cultural and organizational factors driving China's rapid AI development. While talent, data, and compute are similar to the West, Chinese labs excel through a pragmatic, execution-focused culture: less emphasis on individual stardom and conceptual debate, and more on teamwork, engineering optimization, and mastering the full tech stack. A key advantage is the integration of young students and researchers who approach model-building with fresh perspectives and low ego, prioritizing collective progress over personal credit. This contrasts with the US culture of self-promotion and "star scientist" narratives. Chinese labs also exhibit a strong "build, don't buy" mentality, preferring to develop core capabilities—like data pipelines and environments—in-house rather than relying on external services. The ecosystem feels more collaborative than tribal, with mutual respect among labs. While government support exists, its scale is unclear, and technical decisions appear driven by labs, not state mandates. Chinese companies across sectors, from platforms to consumer tech, are building their own foundational models to control their tech destiny, reflecting a broader cultural drive for technological sovereignty. Demand for AI is emerging, with spending patterns potentially mirroring cloud infrastructure more than traditional SaaS. Despite challenges like a less mature data industry and GPU shortages, Chinese labs are propelled by vast talent, rapid iteration, and deep integration with the open-source community. The competition is evolving beyond a pure model race into a contest of organizational execution, developer ecosystems, and industrial pragmatism.

marsbit11 h fa

Why is China's AI Developing So Fast? The Answer Lies Inside the Labs

marsbit11 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

Corning, a 175-year-old glass company, is experiencing a dramatic revival as a key player in AI infrastructure, driven by surging demand for high-performance optical fiber in data centers. AI data centers require vastly more fiber than traditional ones—5 to 10 times as much per rack—to handle high-speed data transmission between GPUs. This structural demand shift, coupled with supply constraints from the lengthy expansion cycle for fiber preforms, has created a significant supply-demand gap. Nvidia has invested in Corning, along with Lumentum and Coherent, in a $4.5 billion total commitment to secure the optical supply chain for AI. Corning's competitive edge lies in its expertise in producing ultra-low-loss, high-density, and bend-resistant specialty fiber, which is critical for 800G+ and future 1.6T data rates. Its deep involvement in co-packaged optics (CPO) with partners like Nvidia further solidifies its position. While not the largest fiber manufacturer globally, Corning's revenue from enterprise/data center clients now exceeds 40% of its optical communications sales, and it has secured multi-year supply agreements with major hyperscalers including Meta and Nvidia. Financially, Corning's optical communications revenue has surged, doubling from $1.3 billion in 2023 to over $3 billion in 2025. Its stock price has risen nearly 6-fold since late 2023. Key future catalysts include the rollout of Nvidia's CPO products and the scale of undisclosed customer agreements. However, risks include high current valuations and potential disruption from next-generation technologies like hollow-core fiber. The company's long-term bet on light over electricity, maintained even through the telecom bubble crash, is now being validated by the AI boom.

marsbit11 h fa

3 Years, 5 Times: The Rebirth of a Century-Old Glass Factory

marsbit11 h fa

Trading

Spot
Futures
活动图片