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JPMorgan and Goldman Sachs raise gold target prices; will on-chain finance usher in a new reserve asset cycle?
Recently, two leading Wall Street investment banks, JPMorgan and Goldman Sachs, have respectively raised their target prices and long-term expectations related to gold. JPMorgan maintained its end-2026 forecast while increasing its long-term “anchor” price level; Goldman Sachs attributed the upward momentum in gold prices to persistent central bank buying and macro risk hedging demands.
This is not just a revision of price outlooks but a reaffirmation of gold’s role as an asset. As gold is once again placed at the core of “long-term reserve assets,” a more pressing question emerges for the on-chain world: Does on-chain finance have the structural capacity to support reserve assets?
Behind the Gold Rise Is the Reinforcement of Reserve Logic
The recent upward revisions by institutions are not simply based on short-term supply and demand but stem from broader structural macro changes: fluctuations in monetary policy credibility, rising geopolitical risks, and global asset rebalancing. Against this backdrop, gold is once again integrated into the asset-liability framework. It is no longer just a trading hedge but a strategic asset for value anchoring and long-term risk hedging.
When an asset is redefined as a reserve tool, market evaluation standards also shift—focus no longer solely on volatility and liquidity but on:
This also raises higher requirements for the on-chain version of gold.
RWA Enters the Second Stage: From “Can It Be On-Chain” to “Can It Support”
The first phase of tokenizing real-world assets (RWA) addressed the question of “Can it be tokenized.” Gold, as one of the most standardized physical assets globally, naturally became an early example. But as the reserve logic strengthens, discussions on-chain are shifting to more fundamental issues: Can these assets support institutional balance sheets? Do they have cross-cycle operational capacity? Can they serve as a value anchor for on-chain finance?
In the “Matrixdock Outlook 2026,” Matrixdock introduces the concept of a “Reserve Layer,” describing an on-chain foundational asset layer composed of regulated, high-quality, verifiable tokenized assets. The goal of this layer is to provide value anchoring and liquidity support for on-chain finance, ensuring stable operation across market cycles. In other words, the Reserve Layer is not just an asset stack but a structural standard.
Structural Capacity Is Becoming a Critical Divide
Within this framework, “institutional-grade” is more a matter of structural capability than a marketing label. Its core criteria include whether the assets possess:
When traditional institutions re-include gold in their long-term reserves, whether on-chain versions meet the same rigorous standards of structure and verification will be a key dividing line.
XAUm: A Structural Practice of a “Reserve Layer Asset”
In this context, the design of Matrixdock Gold (XAUm) is noteworthy. In its Outlook framework, XAUm is built to serve as a reserve asset on-chain, not just a digital representation of physical gold. Its structure emphasizes:
This design aligns more closely with traditional institutional requirements for reserve assets rather than merely optimizing on-chain liquidity.
If Reserve Cycles Form, Competitive Logic May Shift
If this round of institutional re-pricing of gold reflects a structural reinforcement of reserve logic rather than a temporary phase, on-chain finance could enter a new cycle—one driven less by trading sentiment and more by upgrades in the underlying asset layer.
In this scenario, competition may shift from scale and traffic to:
Reserve assets will not automatically acquire reserve status just by being on-chain. They must earn this identity through structure, legal frameworks, and verification mechanisms. Whether the Reserve Layer becomes the next core of on-chain finance remains to be seen. However, it is clear that as traditional finance reasserts gold’s strategic importance, the on-chain world is also undergoing a process of structural filtering.
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