Coinbase Unveils New Perp Listings — Which Altcoins Made the Cut?

ccn.comОпубліковано о 2025-12-16Востаннє оновлено о 2025-12-16

Анотація

Coinbase has expanded its derivatives offering by adding perpetual-style futures for 11 major altcoins, alongside its existing Bitcoin and Ether products. The newly supported altcoins include Avalanche (AVAX), Bitcoin Cash (BCH), Cardano (ADA), Chainlink (LINK), Dogecoin (DOGE), Hedera (HBAR), Litecoin (LTC), Polkadot (DOT), Shiba Inu (SHIB), Sui (SUI), and Stellar (XLM). These contracts are designed to replicate perpetual exposure while complying with U.S. derivatives regulations, differentiating them from traditional perps offered by offshore or decentralized exchanges. The selection emphasizes large-cap, liquid tokens with established trading histories, including both legacy networks and newer layer-one protocols. Traders can access these products through Coinbase Derivatives via registered Futures Commission Merchant partners.

Key Takeaways

  • Coinbase has expanded its “perpetual-style” futures offering.
  • Eleven altcoins have joined the roster alongside Bitcoin and Ether.
  • Unlike traditional perps, perpetual-style futures comply with U.S. derivatives regulations.

Following the launch of its flagship BTC and ETH products earlier this year, Coinbase has expanded its derivatives offering with perpetual-style futures tied to a slate of major altcoins.

While offshore and decentralized exchanges have long dominated the global perp market, Coinbase’s move highlights the steady normalization of regulated crypto derivatives in the U.S. market—albeit in a distinctly American wrapper.

Try Our Recommended Crypto Exchanges
Sponsored
Disclosure
We sometimes use affiliate links in our content, when clicking on those we might receive a commission at no extra cost to you. By using this website you agree to our terms and conditions and privacy policy.
"}' data-trk="68df7fd8872238d510dfbf06" href="https://clicks.pipaffiliates.com/c?c=1104900&l=en&p=1" rel="nofollow" target="_blank">
XM.com<\/h3>"}' data-trk="68df7fd8872238d510dfbf06" href="https://clicks.pipaffiliates.com/c?c=1104900&l=en&p=1" rel="nofollow" target="_blank">

XM.com

promotions
Get 100% Bonus up to $100 on your first Deposit.<\/strong>"}' data-trk="68df7fd8872238d510dfbf06" href="https://clicks.pipaffiliates.com/c?c=1104900&l=en&p=1" rel="nofollow" target="_blank"> Get 100% Bonus up to $100 on your first Deposit.
Coins
28
Claim Offer
"}' data-trk="6899b9831836d97539c51aa6" href="https://www.bitunix.com/" rel="nofollow" target="_blank">
Bitunix<\/h3>"}' data-trk="6899b9831836d97539c51aa6" href="https://www.bitunix.com/" rel="nofollow" target="_blank">

Bitunix

promotions
Receive up to $100,000 worth of exclusive gifts for newcomers upon registration.<\/strong>"}' data-trk="6899b9831836d97539c51aa6" href="https://www.bitunix.com/" rel="nofollow" target="_blank"> Receive up to $100,000 worth of exclusive gifts for newcomers upon registration.
Coins
151
Claim Offer
"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://bonus.bitget.com/CCN12" rel="nofollow" target="_blank">
Bitget<\/h3>"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://bonus.bitget.com/CCN12" rel="nofollow" target="_blank">

Bitget

promotions
Earn rewards worth up to 5,000 USDT on your first deposit<\/strong>"}' data-trk="67adf8d4f12aaec7e4808bf5" href="https://bonus.bitget.com/CCN12" rel="nofollow" target="_blank"> Earn rewards worth up to 5,000 USDT on your first deposit
Coins
88
Claim Offer

Coinbase Doubles Down on Perps

Coinbase initially listed “perpetual-style” futures for Bitcoin and Ether in July, marking the launch of a new asset class for the U.S.-regulated market.

The contracts are designed to replicate perpetual exposure without being legally classified as swaps. They are technically still futures with expiries, but because they automatically roll over at maturity, from the perspective of traders, they behave the same as true perps.

Which Altcoins Are Supported?

On Thursday, Dec. 15, Coinbase introduced eleven new altcoins to its perpetual-style derivatives offering:

  • Avalanche (AVAX)
  • Bitcoin Cash (BCH)
  • Cardano (ADA)
  • Chainlink (LINK)
  • Dogecoin (DOGE)
  • Hedera (HBAR)
  • Litecoin (LTC)
  • Polkadot (DOT)
  • Shiba Inu (SHIB)
  • Sui (SUI)
  • Stellar (XLM)

The selection leans toward large-cap, liquid tokens with long trading histories. Legacy networks, such as Litecoin, Bitcoin Cash, and Stellar, sit alongside newer layer-one and infrastructure plays, including Avalanche, Sui, and Chainlink.

Memecoins also feature, with both Dogecoin and Shiba Inu included in the list, their persistent liquidity and retail demand.

A Signal for U.S. Crypto Derivatives

Unlike traditional perps offered by decentralized or offshore exchanges, Coinbase’s perpetual-style futures comply with U.S. derivatives regulations, making them suitable for American retail and institutional traders.

Perp-style futures are listed on Coinbase Derivatives rather than the company’s spot exchange. Traders must access them via the firm’s registered FCM (Futures Commission Merchants) partners, which include ABN Amro, Architect, and Clear Street.

Top Trending Crypto Articles
  • Best Exchanges Check Out Our Recommended Exchanges Here
  • Buy Crypto Fast How To Buy Crypto with a Credit Card Now
  • Safe Crypto Gambling See Our Picks for the Best Crypto Gambling Sites

Пов'язані матеріали

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

OpenAI engineer Weng Jiayi's "Heuristic Learning" experiments propose a new paradigm for Agentic AI, suggesting that intelligent agents can improve not just by training neural networks, but also by autonomously writing and refining code based on environmental feedback. In the experiment, a coding agent (powered by Codex) was tasked with developing and maintaining a programmatic strategy for the Atari game Breakout. Starting from a basic prompt, the agent iteratively wrote code, ran the game, analyzed logs and video replays to identify failures, and then modified the code. Through this engineering loop of "code-run-debug-update," it evolved a pure Python heuristic strategy that achieved a perfect score of 864 in Breakout and performed competitively with deep reinforcement learning (RL) algorithms in MuJoCo control tasks like Ant and HalfCheetah. This approach, termed Heuristic Learning (HL), contrasts with Deep RL. In HL, experience is captured in readable, modifiable code, tests, logs, and configurations—a software system—rather than being encoded solely into opaque neural network weights. This offers potential advantages in explainability, auditability for safety-critical applications, easier integration of regression tests to combat catastrophic forgetting, and more efficient sample use in early learning stages, as demonstrated in broader tests on 57 Atari games. However, the blog acknowledges clear limitations. Programmatic strategies struggle with tasks requiring long-horizon planning or complex perception (e.g., Montezuma's Revenge), areas where neural networks excel. The future vision is a hybrid architecture: specialized neural networks for fast perception (System 1), HL systems for rules, safety, and local recovery (also System 1), and LLM agents providing high-level feedback and learning from the HL system's data (System 2). The core proposition is that in the era of capable coding agents, a significant portion of an AI's learned experience could be maintained as an auditable, evolving software system.

marsbit26 хв тому

OpenAI Post-Training Engineer Weng Jiayi Proposes a New Paradigm Hypothesis for Agentic AI

marsbit26 хв тому

Your Claude Will Dream Tonight, Don't Disturb It

This article explores the recent phenomenon of AI companies increasingly using anthropomorphic language—like "thinking," "memory," "hallucination," and now "dreaming"—to describe machine learning processes. Focusing on Anthropic's newly announced "Dreaming" feature for its Claude Agent platform, the piece explains that this function is essentially an automated, offline batch processing of an agent's operational logs. It analyzes past task sessions to identify patterns, optimize future actions, and consolidate learnings into a persistent memory system, akin to a form of reinforcement learning and self-correction. The article draws parallels to similar features in other AI agent systems like Hermes Agent and OpenClaw, which also implement mechanisms for reviewing historical data, extracting reusable "skills," and strengthening long-term memory. It notes a key difference from human dreaming: these AI "dreams" still consume computational resources and user tokens. Further context is provided by discussing the technical challenges of managing AI "memory" or context, highlighting the computational expense of large context windows and innovations like Subquadratic's new model claiming drastically longer contexts. The core critique argues that this strategic use of human-centric vocabulary does more than market products; it subtly reshapes user perception. By framing algorithms with terms associated with consciousness, companies blur the line between tool and autonomous entity. This linguistic shift can influence user expectations, tolerance for errors, and even perceptions of responsibility when systems fail, potentially diverting scrutiny from the companies and engineers behind the technology. The article concludes by speculating that terms like "daydreaming" for predictive task simulation might be next, continuing this trend of embedding the idea of an "inner life" into computational processes.

marsbit28 хв тому

Your Claude Will Dream Tonight, Don't Disturb It

marsbit28 хв тому

Торгівля

Спот
Ф'ючерси
活动图片