Ripple Prime Offers Regulated Crypto Derivatives Access Through Coinbase Futures

TheNewsCryptoPublicado a 2026-03-06Actualizado a 2026-03-06

Resumen

Ripple is expanding its institutional trading services by providing its Ripple Prime members with access to regulated crypto derivatives on Coinbase's derivatives exchange, cleared by Nodal Clear. This integration allows users to trade nano Bitcoin, nano Ethereum, XRP, and Solana futures in a CFTC-regulated environment, enabling precise risk management and global market access. The move follows Ripple’s acquisition of a Futures Commission Merchant last year, which facilitated access to Coinbase derivatives. Ripple has also become a clearing member of Nodal Clear to deepen its presence in regulated clearing systems. Additionally, Ripple recently expanded into decentralized derivatives through a partnership with Hyperliquid, offering perpetual futures and other derivatives. These developments are part of Ripple’s broader strategy to enhance its prime brokerage platform and increase institutional access to both centralized and decentralized derivatives markets.

Ripple is expanding its institutional trading capabilities by providing users with access to regulated crypto derivatives contracts on Coinbase’s derivatives exchange, which are cleared by Nodal Clear. The connection enables users to trade futures based on key cryptocurrencies within a regulated clearing system.

According to the reports, Ripple Prime members now have access to nano Bitcoin and nano Ethereum futures, as well as contracts for XRP and Solana. “These offerings are all available 24/7 in a CFTC-regulated environment, allowing for precise risk management and global market access.”

Ripple Joins Nodal Clear, Expands Coinbase Futures Access

When Ripple acquired Hidden Road Partners CIV US LLC, a Futures Commission Merchant (FCM), last year, which facilitates access to Coinbase derivatives, the company is now a part of the Ripple Prime platform. It is an institutional platform that offers financing, clearing, and multi-asset prime brokerage services, and more than $3 trillion in transactions were cleared by the platform in 2025, which shows its expanding influence in institutional markets.

As part of its ambition to increase institutional derivatives access through deeper integration with the regulated clearing environment, Ripple has made it possible for its clients to access futures listed on Coinbase by becoming a clearing member of Nodal Clear.

Also, Noel Kimmel, President of Ripple Prime, said, “We are pleased to partner with Nodal Clear and Coinbase as we continue to expand our exchange coverage and bring new futures trading opportunities to our clients.”

Ripple Earlier Expanded Into DeFi Derivatives

Before this, in early February, Ripple Prime started trading and margining on Hyperliquid, which made its first connection to a decentralized trading venue that gave access to perpetual futures and other derivatives at the time of managing exposure, along with FX, fixed income, OTC swaps, and cleared products.

Therefore, the latest additions highlight Ripple’s larger initiative to improve the capabilities of its Ripple Prime platform and increase institutional derivatives access in both decentralized and centralized ways.

Highlighted Crypto News Today:

Crypto Prices Race Back as US Job Growth and Unemployment Rate Expected to Remain Steady

Preguntas relacionadas

QWhat new trading capabilities is Ripple expanding through its partnership with Coinbase Futures and Nodal Clear?

ARipple is expanding its institutional trading capabilities by providing users with regulated access to crypto derivatives contracts, including nano Bitcoin, nano Ethereum, XRP, and Solana futures, on Coinbase's derivatives exchange, which are cleared by Nodal Clear.

QHow did Ripple Prime gain access to Coinbase derivatives?

ARipple gained access to Coinbase derivatives by acquiring Hidden Road Partners CIV US LLC, a Futures Commission Merchant (FCM), last year, which is now part of the Ripple Prime platform.

QWhat did Ripple do to enable its clients to access futures listed on Coinbase?

ARipple became a clearing member of Nodal Clear, enabling its clients to access futures listed on Coinbase as part of its effort to increase institutional derivatives access through deeper integration with the regulated clearing environment.

QBesides the Coinbase partnership, what other recent expansion did Ripple Prime make into derivatives trading?

AIn early February, Ripple Prime started trading and margining on Hyperliquid, a decentralized trading venue, providing access to perpetual futures and other derivatives, along with FX, fixed income, OTC swaps, and cleared products.

QWhat is the significance of Ripple Prime's transaction volume in 2025 as mentioned in the article?

AThe Ripple Prime platform cleared more than $3 trillion in transactions in 2025, demonstrating its expanding influence and significant role in institutional markets.

Lecturas Relacionadas

Institutional Adoption of Prediction Markets Stuck at the Third Stage

Prediction markets are transitioning from niche platforms focused on elections and sports to mainstream financial tools, as highlighted at Kalshi Research's inaugural conference. While sports still dominate trading volume (around 80%), non-sports categories like macroeconomics, politics, and entertainment are growing faster, signaling a shift from entertainment-based trading to information and risk management tools. Institutions, including Wall Street firms, are increasingly using prediction markets for data reference (Stage 1 adoption), with some progressing to system integration (Stage 2). However, full-scale trading (Stage 3) is limited due to the lack of margin trading, requiring full collateral for positions—a barrier for leverage-dependent entities. Kalshi is working with regulators to introduce margin mechanisms. Key insights from participants like Goldman Sachs and CNBC emphasize the value of real-time pricing for events (e.g., Fed decisions, tariffs), providing benchmarks previously unavailable. The path to maturity mirrors historical financial instruments like options, with expectations that prediction markets will become institutional staples within five years. Political leaders, including Trump and Schumer, now cite Kalshi odds, underscoring its growing influence. The platform rewards domain expertise over traditional finance backgrounds, attracting diverse participants from fields like music and poker. Ultimately, prediction markets are evolving into critical infrastructure for pricing uncertainty.

marsbitHace 16 min(s)

Institutional Adoption of Prediction Markets Stuck at the Third Stage

Prediction markets are transitioning from niche platforms focused on elections and sports to mainstream tools for information and risk management. While events like the Super Bowl still dominate trading volume, non-sports categories—such as macroeconomics, politics, and entertainment—are growing faster and attracting institutional interest. Key drivers include the need for real-time benchmarks on uncertain events (e.g., election outcomes or policy changes), which traditional markets lack. Institutions like Goldman Sachs and CNBC are already using prediction market data for decision-making, though most remain in the early stages of adoption. The path to full institutional integration involves three phases: data integration, system compliance, and active trading. The current barrier to large-scale trading is the lack of margin trading, requiring full collateral for positions—a limitation platforms like Kalshi are working to address. Experts compare prediction markets to the early days of options trading, anticipating they will become a standard, if mundane, financial infrastructure. Political leaders and institutions are increasingly referencing these markets, signaling their growing credibility. The future lies in their evolution from speculative arenas to essential tools for hedging and pricing uncertainty.

Odaily星球日报Hace 22 min(s)

France Averages One Crypto Kidnapping Every 2.5 Days, Authorities Finally Take Action

France has emerged as a global hotspot for "crypto kidnappings" and wrench attacks, with an average of one incident every 2.5 days in 2026, totaling 41 cases so far. In a recent event, the wife and 11-year-old child of a crypto entrepreneur were abducted in Burgundy, with a ransom demand of €400,000. The victims were rescued, and suspects were arrested. Facing growing pressure, French Interior Ministry Undersecretary Jean-Didier Berger announced at Paris Blockchain Week that authorities are developing a more "serious" protection plan for cryptocurrency investors, to be unveiled in the coming. This follows the launch of a prevention platform that has already registered thousands of users. According to data from CertiK, wrench attacks—where victims are threatened or assaulted to force digital asset transfers—increased by 75% globally in 2025, with France accounting for 19 confirmed cases. Europe represents about 40% of such incidents worldwide. Other high-profile cases include a couple robbed of $1 million in Bitcoin by impersonators and the kidnapping of a judge and her mother in a crypto-related extortion attempt.

marsbitHace 52 min(s)

France Averages One Crypto Kidnapping Every 2.5 Days, Authorities Finally Take Action

marsbitHace 52 min(s)

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

The year 2026 marks the beginning of "computing power inflation." While AI inference costs have dropped by over 80% in 18 months globally, China's three major cloud providers—Alibaba Cloud, Baidu AI Cloud, and Tencent Cloud—simultaneously announced price hikes of 20–30%. This reflects a deeper structural shift driven by Jevons Paradox: as unit costs fall (e.g., via models like DeepSeek-R1), demand explodes, especially with the rise of reasoning models and AI agents that consume 10–50x more tokens per task. Although DeepSeek open-sourced its model weights, it did not release its inference optimization stack, leaving a significant engineering efficiency gap between cloud providers and smaller players. The big three are leveraging this advantage to reposition: Alibaba focuses on high-margin premium clients, Baidu filters out low-value users, and Tencent capitalizes on ecosystem lock-in. Meanwhile, ByteDance’s Volcano Engine adopts a more moderate pricing strategy to capture displaced customers. Unexpectedly, the price surge is pushing large enterprises toward self-built computing solutions once their cloud bills exceed a certain threshold. While cloud providers aim to boost profitability, they risk driving away innovative startups and accelerating competition from GPU leasing and domestic hardware providers like Huawei. The涨价 trend is expected to persist for 2–3 years, fueled by rising token consumption from reasoning models, AI agent adoption, and NVIDIA export restrictions. The inflection point depends on whether domestic chips can match NVIDIA’s efficiency, likely around 2027–2028. Until then, cloud providers will maintain pricing power, and the key for AI companies is to optimize token usage—the real moat in this era.

marsbitHace 1 hora(s)

The First Year of Computing Power Inflation: The Cheaper DeepSeek Gets, the Harder It Is to Stop This Round of Price Hikes

marsbitHace 1 hora(s)

Robotics' "ChatGPT Moment": AI Moves into the Physical World, Blockchain Accelerates the Arrival of the Machine Economy

The integration of AI and robotics is accelerating the shift from digital intelligence to physical AI, enabling machines to perceive, reason, and act in real-world environments. Companies like Figure, Tesla, and Skild AI are driving advancements in humanoid and specialized robots, supported by significant investments—such as Skild’s $14B and Figure’s $10B+ funding rounds. Key enablers include declining hardware costs (actuators, sensors, batteries), edge computing (e.g., NVIDIA Jetson), and AI "world models" that learn physical intuition from video data rather than programmed instructions. Despite progress, challenges remain: collecting real-world robotic training data is slow and costly, and simulation-to-reality gaps persist. Blockchain and tokenization offer solutions by incentivizing decentralized data contribution and enabling robots to function as economic agents—earning, spending, and distributing profits autonomously. By 2030, physical AI could transform industries and households, with robots operating via standardized platforms and skill-based "app stores." The convergence of affordable hardware, advanced AI, decentralized coordination, and edge compute promises a future where intelligent robots become ubiquitous assistants in daily life and high-risk applications.

marsbitHace 1 hora(s)

Robotics' "ChatGPT Moment": AI Moves into the Physical World, Blockchain Accelerates the Arrival of the Machine Economy

marsbitHace 1 hora(s)

Trading

Spot

Futuros