The 24/7 Takeover: How Crypto’s $130B TradFi Surge Is Absorbing The Global Commodities Trade

bitcoinist2026-03-07 tarihinde yayınlandı2026-03-07 tarihinde güncellendi

Özet

Cryptocurrency exchanges are expanding beyond digital assets to become major hubs for traditional financial derivatives, particularly perpetual futures tied to commodities and equities. A CryptoQuant report highlights that this shift is accelerating as TradFi participants leverage crypto infrastructure for 24/7 trading access. Binance’s TradFi perpetual futures have seen cumulative volumes exceed $130 billion, with over 90 million trades. Gold and silver contracts dominate, reaching daily volumes of nearly $4 billion each during strong market rallies. This reflects a broader convergence between traditional finance and crypto trading platforms, enabling continuous global market exposure outside conventional hours.

Cryptocurrency exchanges are increasingly evolving beyond digital asset trading platforms, gradually becoming global venues for traditional financial derivatives. A recent CryptoQuant report highlights how this shift is accelerating as market participants from traditional finance begin to utilize crypto-native infrastructure to trade assets outside the typical cryptocurrency universe.

One of the clearest signals of this transformation is the rapid rise of perpetual futures tied to traditional assets. These instruments allow traders to gain exposure to commodities, equities, and other macro assets through crypto exchanges while benefiting from continuous, 24/7 market access. Unlike conventional financial markets that operate within fixed trading hours, crypto platforms provide uninterrupted liquidity, making them particularly attractive during periods of strong price momentum.

The trend has become especially visible during recent rallies in commodities such as gold and silver. As prices moved sharply, traders increasingly turned to crypto exchanges offering TradFi perpetual contracts to maintain exposure around the clock. This structure enables market participants to respond immediately to global developments rather than waiting for traditional markets to reopen.

According to CryptoQuant, the growth of these instruments reflects a broader structural shift in financial markets. The boundary between traditional finance and crypto-native trading infrastructure is gradually fading, with digital asset exchanges emerging as hybrid platforms capable of supporting both crypto assets and traditional financial products within a unified trading environment.

TradFi Perpetual Futures See Rapid Growth On Crypto Exchanges

The report also highlights the rapid expansion of trading activity in Binance’s TradFi perpetual futures market. Since launch, cumulative trading volume across these contracts has surpassed $130 billion, with more than 90 million trades recorded. Notably, total volume exceeded $100 billion by February 24, just two months after the product’s introduction, underscoring strong demand from traders seeking continuous exposure to traditional assets through crypto-native platforms.

Binance TradFi Perpetual Futures Cumulative Trading Volume and Number of Trades | Source: CryptoQuant

Binance’s TradFi perpetual futures allow users to trade a wide range of instruments, including precious metals and major equities. Available contracts include gold, silver, palladium, and platinum, alongside stocks such as AMZN, COIN, CIRCL, HOOD, INTC, MSTR, PLTR, and TSLA. These products replicate the economic exposure of traditional derivatives while benefiting from the global accessibility and near-continuous trading environment of crypto exchanges.

Precious metals dominate activity within this segment. Daily trading volume is heavily concentrated in gold and silver contracts, which reached approximately $3.77 billion and $3.75 billion, respectively, on March 3. Trading tends to accelerate during strong price trends in metals markets. For example, record daily volumes of roughly $4 billion in gold and $7 billion in silver were observed on January 30, 2025.

High participation levels further illustrate this momentum. TradFi perpetual futures recently recorded around 4.4 million daily trades, with gold accounting for roughly 2.0 million and silver for 1.9 million transactions.

İlgili Sorular

QWhat is the main trend highlighted in the CryptoQuant report regarding cryptocurrency exchanges?

ACryptocurrency exchanges are evolving beyond digital asset trading platforms and becoming global venues for traditional financial derivatives, as market participants from traditional finance begin to use crypto-native infrastructure to trade assets outside the typical cryptocurrency universe.

QWhat key advantage do perpetual futures on crypto exchanges offer compared to traditional financial markets?

AThey provide continuous, 24/7 market access and uninterrupted liquidity, allowing traders to respond immediately to global developments rather than waiting for traditional markets to reopen.

QHow much cumulative trading volume have Binance's TradFi perpetual futures reached since their launch?

ACumulative trading volume has surpassed $130 billion, with more than 90 million trades recorded.

QWhich traditional assets are most actively traded through Binance's TradFi perpetual futures?

APrecious metals, particularly gold and silver, dominate trading activity, with daily volumes reaching approximately $3.77 billion for gold and $3.75 billion for silver on March 3.

QWhat does the growth of TradFi perpetual futures on crypto exchanges signify according to the report?

AIt reflects a broader structural shift in financial markets where the boundary between traditional finance and crypto-native trading infrastructure is fading, with digital asset exchanges emerging as hybrid platforms supporting both crypto and traditional financial products.

İlgili Okumalar

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

NVIDIA's Rubin Ultra, the top-tier variant of the newly announced Rubin AI accelerators, has reportedly seen significant specification downgrades, according to an industry report from SemiAnalysis. Initially designed with four compute dies (4-die), the Rubin Ultra is now said to be reduced to a 2-die design. Key changes highlighted in the report include: * **No increase in peak theoretical compute performance**, remaining at 35 PFLOPs like the standard Rubin. * **Severe reduction in memory capacity** to 192GB using 8-Hi HBM stacks, which is less than the standard Rubin's 288GB using 12-Hi stacks. * **Negligible memory bandwidth improvement** of only 1 TB/s. * **Slightly higher chip-level power consumption**. * The **primary upgrade is a massive increase in scale-up interconnect capacity**, supporting connections for up to 576 GPUs via NVLink, compared to 72 for the standard Rubin. The report suggests the redesign is primarily a cost-optimization move driven by the sharp rise in HBM (High-Bandwidth Memory) prices. By reducing the expensive HBM content and shifting investment towards enhanced system-scale networking, NVIDIA aims to maintain the platform's value for large-scale AI training clusters while managing soaring material costs. The news reportedly triggered a sell-off in South Korean memory stocks, with SK Hynix and Samsung shares falling around 8%, as markets grew concerned that NVIDIA—a major HBM buyer—might be reducing its reliance on high-capacity memory, potentially capping future pricing power for memory makers.

Odaily星球日报12 dk önce

Rubin Ultra Makes Major Cuts, Even Nvidia Can't Handle Memory Price Hikes?

Odaily星球日报12 dk önce

Upbit Rebalances 864B SHIB In Internal Wallet Move

South Korean cryptocurrency exchange Upbit moved a total of 864 billion SHIB (worth approximately $4 million) between its internal wallet addresses. The activity, involving transfers of 384 billion SHIB outbound and 480 billion SHIB inbound, occurred following a 36% SHIB price rally. On-chain data indicates this was a routine internal wallet rebalancing operation by the exchange, not a sell-off or liquidation event. The article cautions that while large on-chain transfers are highly visible, they require proper context and wallet labeling to interpret correctly. In this case, the movement between known Upbit addresses does not inherently signal a change in market supply or selling pressure for SHIB.

bitcoinist1 saat önce

Upbit Rebalances 864B SHIB In Internal Wallet Move

bitcoinist1 saat önce

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

This article introduces a novel training paradigm for generative models called Explorative Modeling (XM), which enables true end-to-end training. Traditionally, powerful generative models like autoregressive and diffusion models are not trained end-to-end. They are trained to predict a single small step but require iterative multi-step sampling for inference. This "exposure bias" leads to error accumulation and limits performance. The core challenge XM addresses is "mode blurring." In generative tasks, a single input (e.g., "generate a dog") corresponds to many valid outputs (multiple modes). Standard training objectives like reconstruction loss force the model to average these modes, producing unrealistic, blurry outputs. To avoid this, existing models break generation into many small, almost deterministic steps, sacrificing end-to-end training. XM tackles this by restructuring the training loop itself. Its key insight is to amplify "generative expressivity." For each training input, instead of generating one sample, the model generates K candidate outputs. Only the candidate closest to the real data is used for computing the loss and updating the model via backpropagation. This simple "best-of-K" mechanism is implemented as a short for-loop. By exploring multiple possibilities, the model learns to distribute its guesses across different modes rather than collapsing to their uninformative average. The paper demonstrates that "exploration" acts as a new, powerful scaling axis. Gains from XM increase with model size, data scale, and compute. Experiments show improvements in FID scores for image generation and significant efficiency gains, sometimes outperforming larger models without exploration. When pushed to the limit, XM enables fully single-step, end-to-end generative models. In robotics tasks, an "Explorative Policy" matched the performance of a 100-step Diffusion Policy with a single forward pass, drastically improving inference speed. While the best-of-K concept is not entirely new, the authors' contribution lies in formally understanding it as a direct method to boost generative expressivity without fragmenting the generation process. This work suggests that as models scale, enhancing exploration during training may become crucial for overcoming fundamental performance bottlenecks.

marsbit1 saat önce

Can Generative Models Finally Be Trained End-to-End? The Core Is a For Loop

marsbit1 saat önce

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

The International Conference on Learning Representations (ICLR) 2027 has introduced a new submission rule limiting authors to a maximum of 20 papers per conference. This policy, announced due to a 68% surge in submissions for ICLR 2026 that strained the review system, aims to ensure fair and informative peer review. Google DeepMind researcher Dan Roy responded with a sarcastic petition on X, calling the 20-paper cap "absurd" and claiming it would slow AI progress. His post mockingly argued that AI agents can now produce incremental research and that large language models (LLMs) already handle all reviewing, so output should be maximized. This satire critiques the broader trend of AI's role in academia, referencing a 2025 study that found about 21% of ICLR 2026 reviews were likely fully AI-generated. Roy's underlying point questions whether simply capping submissions addresses the systemic issue of AI potentially flooding conferences with agent-written papers and AI-assisted reviews. The debate highlights tensions between managing submission volume and maintaining research quality as AI tools become pervasive.

marsbit1 saat önce

A Maximum of 20 Submissions Per Person? DeepMind Researcher Satirically 'Petitions' Against ICLR's New Rule

marsbit1 saat önce

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

A security vulnerability in Coldcard hardware wallets led to the theft of 1,367.05 BTC (approx. $89 million) from 4,585 addresses, according to Galaxy Research. The flaw, caused by insufficient randomness in seed phrase generation for specific firmware versions, triggered a massive migration of funds as users moved assets to new, secure wallets. This event caused the largest on-chain movement of small Bitcoin transactions since the FTX collapse, distorting key market indicators like active addresses and exchange deposits, and significantly dampening market sentiment. The incident also highlighted challenges in cybersecurity investigations, as researchers reported that safety guardrails on mainstream U.S. AI models hindered the analysis of attack patterns, forcing them to use an open-source Chinese AI model for forensic work. This underscores a dilemma in balancing AI security restrictions with the need for rapid response in tracing stolen crypto assets.

marsbit1 saat önce

Coldcard Vulnerability Leads to $89 Million Theft, Sparking Largest On-Chain Migration Since FTX Collapse

marsbit1 saat önce

İşlemler

Spot