When Funds Flow into Gold and Silver, Bitcoin Is Temporarily Left Behind

比推Published on 2025-12-26Last updated on 2025-12-26

Abstract

In 2025, precious metals surged dramatically, with silver rising parabolically to a record $72/oz and gold reaching $4524.30/oz, up 143% and 70% annually, respectively. In contrast, Bitcoin fell 8% year-to-date and dropped 30% from its October peak. This divergence challenges the "digital gold" narrative, as traditional safe-haven drivers—such as a weaker dollar, Fed rate cut expectations, and geopolitical risks—failed to boost Bitcoin. Investors preferred tangible assets like gold and silver, which benefit from institutional credibility and, in silver’s case, robust industrial demand from sectors like solar and electronics. Bitcoin, lacking industrial utility and relying on speculative and financial demand, struggled as ETF flows turned negative. While Bitcoin’s potential remains tied to future regulatory clarity or unique features like censorship resistance, it has yet to be integrated into the hard asset ecosystem. The 2025 trend underscores that macroeconomic tailwinds do not automatically extend to cryptocurrencies.

In 2025, the precious metals market experienced a frenzy. Silver broke through the $50 range in late November and then surged parabolically, reaching a historic high of $72 per ounce on December 24, with a yearly gain of 143%. Gold hit $4,524.30 per ounce on the same day, rising 70% for the year.

In stark contrast, Bitcoin was trading at $87,498 at the time of writing, down 8% year-to-date and 30% from its October peak of $126,000.

This has given pause to proponents of Bitcoin's "digital gold" narrative, as the macroeconomic trends driving the rally in precious metals do not seem to be transferring to the crypto market.

The core drivers of the precious metals rally—a weaker U.S. dollar, expectations of Federal Reserve rate cuts in 2026, and rising geopolitical risks—are the very conditions Bitcoin supporters have long anticipated as bullish.

However, when allocating funds for避险, the market favors tangible hedging tools with centuries of credibility, like gold and silver. Central banks globally have been increasing their gold reserves throughout the year, and retail funds shifted towards physical precious metals after Bitcoin's decline early in the year.

Multiple studies in 2025 confirmed that gold demonstrates more stable避险 performance during various macroeconomic shocks, whereas Bitcoin behaves more like a high-beta risk asset, correlating positively with stocks and failing to lead in this cycle.

Structural demand differences further widened the gap. Silver's rise was fueled not only by避险 demand but also by record industrial demand from sectors like photovoltaics and electronics. Scarcity of substitutes in the supply chain exacerbated tightness, creating dual support from both macro and industrial factors.

Bitcoin, lacking industrial utility, has demand concentrated in financial speculation and on-chain settlements, with no physical demand buffer. This asymmetry means that even if rate cuts stall and risk appetite cools, silver still has industrial demand as a floor, while Bitcoin can only rely on ETF inflows to absorb selling pressure. With those flows now turning negative, its support has weakened.

The silver surge is a macroeconomic barometer, not a trading signal. It confirms the market's pricing of low real interest rates and a weak dollar, but it highlights that Bitcoin has not yet been integrated into the hard asset trading system.

For Bitcoin to reverse its downtrend, it needs improved regulatory clarity to drive renewed institutional allocation, a recovery in retail sentiment, or a macroeconomic shock where its attributes like censorship resistance and programmability prove valuable.

It is worth noting that silver positions are becoming relatively crowded; a hawkish pivot by the Fed or similar events could trigger asset volatility, which would also indirectly impact Bitcoin.

The divergence in 2025 proves that "hard assets" cannot yet be equated with Bitcoin. Silver combines industrial demand with institutional credibility, gold has institutional credibility and narrative momentum, while Bitcoin is still vying for institutional acceptance and can never possess industrial attributes.

This does not negate Bitcoin's value, but for it to outperform, additional conditions must be met. Once those conditions are satisfied, its upside potential could still surpass that of precious metals.

Until then, we must recognize that macroeconomic tailwinds have not yet propelled the crypto market, and Bitcoin still has a way to go before it becomes a hard asset.


Twitter:https://twitter.com/BitpushNewsCN

Bitpush TG Discussion Group:https://t.me/BitPushCommunity

Bitpush TG Subscription: https://t.me/bitpush

Original link:https://www.bitpush.news/articles/7598415

Trending Cryptos

Related Questions

QWhat were the key performance differences between precious metals and Bitcoin in 2025 as described in the article?

AIn 2025, silver surged by 143% and reached a record high of $72/oz, while gold rose 70% to $4524.30/oz. In contrast, Bitcoin fell 8% year-to-date and was down 30% from its October peak of $126,000.

QAccording to the article, what were the core drivers behind the rally in precious metals?

AThe core drivers for the precious metals rally were a weaker US dollar, expectations of Federal Reserve interest rate cuts in 2026, and rising geopolitical risks.

QWhy did the market prefer precious metals over Bitcoin for避险 (hedging/risk-off) allocation, as per the analysis?

AThe market preferred precious metals due to their century-long credibility as tangible hedging tools. Central banks increased gold reserves, and retail funds shifted to physical precious metals after Bitcoin's early-year decline, viewing gold's避险 performance as more stable.

QWhat structural demand difference between silver and Bitcoin contributed to their performance gap?

ASilver's demand was driven by both避险 and record industrial demand from sectors like photovoltaics and electronics, with scarce substitutes creating supply紧张. Bitcoin lacks industrial use, with demand focused solely on financial speculation and on-chain settlements, leaving it without a physical demand buffer.

QWhat does the article suggest Bitcoin needs to reverse its underperformance and potentially outperform precious metals?

AThe article suggests Bitcoin needs improved regulatory clarity to drive institutional re-allocation, a recovery in retail sentiment, or a macro shock where its censorship-resistant and programmable properties prove valuable. It states that Bitcoin still has the potential to outperform precious metals if these conditions are met.

Related Reads

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

Claude has introduced a major new feature called "Record a Skill," available for Pro, Max, and Team users. This function, found in the Claude desktop app's CoWork menu, allows users to create reusable AI skills simply by recording their screen and providing voice narration while performing a task. Claude then automatically analyzes the recording and generates a functional Skill. A hands-on test confirmed the feature works seamlessly. Users start recording via the Skills manager, perform their workflow while verbally explaining the steps and logic, and avoid including sensitive information. After recording, Claude processes the content and creates the Skill, which can be saved and later invoked with a slash command (/). This eliminates the need for manual adjustments or writing complex instruction files. The innovation goes beyond mere efficiency. Previously, creating a Skill required writing a detailed SKILL.md file in Markdown—a significant barrier for non-technical users. "Record a Skill" bypasses this by directly capturing both actions and the implicit reasoning shared in the narration. This lowers the barrier to knowledge transfer and automation, addressing a core challenge in corporate knowledge management: the difficulty of getting experts to write and maintain documentation. However, the feature also highlights a shift in the nature of work. A case study from March 2026 showed a freelancer whose five-year client relationship was effectively replaced by a hand-coded Claude Skill automating their content workflow. With the even lower barrier of screen recording, the ability to distill personal expertise into automatable skills accelerates this trend. The "moat" for work is moving from simply knowing how to do a task to mastering tasks that are difficult or impossible to automate.

marsbit5m ago

Claude's Major New Feature: Screen Recording + Voice, Distilling Your Skills into AI Tasks in One Click

marsbit5m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

Feeding "Noise" to AI Can Improve Performance: A Method Enables Positive Transfer from Noise This work, Semi-Supervised Noise Adaptation (SSNA), introduces a Noise Adaptation Framework (NAF) that challenges traditional transfer learning. Instead of requiring a labeled source domain of real data (e.g., images, text), NAF uses randomly generated Gaussian noise as the source. For a target task with C classes, it constructs C noise clusters by sampling from Gaussian distributions. Although this synthetic noise contains no semantic meaning, NAF trains it to form a discriminative class structure in a shared representation space—clustering same-class noise and separating different classes. The key is aligning this learned structure from the noise domain to the real, sparsely labeled target domain. A small number of target labels are still essential to establish the correspondence between noise clusters and actual classes. The training objective combines: 1) supervised loss on the few labeled target samples, 2) classification loss for the noise to build its structure, and 3) a distribution alignment loss (using Negative Domain Similarity) to minimize the gap between the noise and target domains in the shared space. Experiments show significant gains in few-label settings. With just 4 labels per class, NAF with a ResNet-18 backbone improves accuracy over a standard supervised baseline (ERM) by +12.35% on CIFAR-10, +7.61% on CIFAR-100, +4.38% on DTD-47, and +2.74% on Caltech-101. It also benefits fine-grained datasets and scales to ImageNet-1K (with 100 labels/class) and text classification (AG News). NAF can be integrated into existing semi-supervised methods like FixMatch for further gains. Ablation studies confirm the transferred benefit comes from the discriminative structure of the noise, not randomness itself. Collapsing all noise into a single point causes negative transfer, while increasing separation between noise cluster centers improves performance. The amount of noise per class is less critical once a basic structure forms. In conclusion, this work demonstrates that for positive transfer, the semantic content of source data may not be necessary. What can be effectively transferred is the *organizational structure* of categories within a representation space. This offers a promising alternative for scenarios where real source data is unavailable due to privacy, copyright, or procurement constraints.

marsbit6m ago

Feeding AI "Noise" Can Also Boost Scores, This Work Enables Positive Transfer with Noise

marsbit6m ago

Trading

Spot

Hot Articles

How to Buy FLOW

Welcome to HTX.com! We've made purchasing Flow (FLOW) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Flow (FLOW) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Flow (FLOW)After purchasing your Flow (FLOW), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Flow (FLOW)Easily trade Flow (FLOW) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

3.8k Total ViewsPublished 2024.03.29Updated 2026.06.02

How to Buy FLOW

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of FLOW (FLOW) are presented below.

活动图片