VanEck Debuts First U.S.-Based Avalanche ETF as AVAX Stays Under Pressure

TheNewsCryptoPublished on 2026-01-27Last updated on 2026-01-27

Abstract

VanEck launched the first U.S.-listed Avalanche ETF (VAVX) on January 26, offering direct exposure to AVAX and staking rewards. Despite this, AVAX remained under pressure, trading below $12 with a weekly decline of nearly 7%. The fund will waive fees for the first $500 million in assets until February 28, 2026, and can stake up to 70% of its holdings, potentially reducing market supply. Currently priced at $11.77, AVAX shows weak momentum with a declining trading volume. Key support lies at $11, while a break above $13 could lead to a move toward $14–$15.

Asset Manager VanEck launched the first U.S.-listed Avalanche ETF on January 26, and the product began trading on Nasdaq under the ticker VAVX, offering direct exposure to AVAX along with staking rewards. Despite this, AVAX continued under pressure, trading below $12 and experiencing a weekly fall of almost 7%.

During the period of VanEck Avalanche ETF from January 26, 2026, to February 28, 2026, VanEck will waive the entire Fee for the first $500 million of the assets. If the Trust’s assets exceed $500 million before February 28, 2026, the Fee charged on assets over $500 million will be 0.20%, as per the document.

In addition, the fund can stake up to 70% of its AVAX holdings, which could lock a meaningful portion of supply and reduce tokens available on the open market if demand holds up.

AVAX Price Analysis

With that, AVAX price is currently trading at $11.77, with 1.11% up today. Despite the modest daily bounce, the 24-hour trading volume is declining more than 20%, as it is down nearly 8% over the past month, as of writing.

Then, the open interest climbed 10.43% to $492 million, which indicates that traders are opening new positions despite slowing trading volume, as per Coinglass data. Which is a phase that could lead to a sharper price move once AVAX breaks out of its current range.

AVAX is trading around the $11.50-$12.00 support zone, and the overall trend is staying bearish as prices continue to create lower highs and lower lows.

Further indicators, RSI (Relative Strength Index), which is sitting at 39, a neutral zone, indicate a weak momentum. Meanwhile, MACD (Moving Average Convergence and Divergence) is showing strong selling pressure, as confirmed by the MACD line being below the signal line.

The price has immediate support at $11, with a further pullback potentially exposing the $10; while on the upside, a clear push above $13.00 might allow the price to stretch beyond the $14.00-$15.00 range.

Highlighted Crypto News Today:

‌US Wall Street Indexes Close Higher as Crypto Market Maintains its Trade Price

TagsAvalanche (AVAX)ETFVanEck

Related Questions

QWhat is the name and ticker symbol of the first U.S.-listed Avalanche ETF launched by VanEck?

AThe ETF is called the VanEck Avalanche ETF and it trades on the Nasdaq under the ticker symbol VAVX.

QWhat is the fee waiver period and condition for the new VanEck Avalanche ETF?

AVanEck will waive the entire fee for the first $500 million of assets from January 26, 2026, to February 28, 2026. Assets over $500 million will be charged a fee of 0.20%.

QWhat percentage of its AVAX holdings can the VanEck ETF stake, and what potential market effect could this have?

AThe fund can stake up to 70% of its AVAX holdings. This could lock a significant portion of the supply and reduce the number of tokens available on the open market if demand holds up.

QAccording to the price analysis, what are the key technical indicators suggesting about AVAX's momentum?

AThe RSI at 39 indicates weak momentum in a neutral zone. The MACD shows strong selling pressure, confirmed by the MACD line being below the signal line.

QWhat are the identified critical support and resistance levels for the AVAX price?

AThe price has immediate support at $11, with a further pullback potentially exposing the $10 level. On the upside, a clear push above $13.00 could allow the price to move toward the $14.00-$15.00 range.

Related Reads

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

Decoding Agent Commerce, Payments, and Infrastructure: The Reality Over the past year, I've been building infrastructure for the Agent economy, engaging with major players like Stripe, Visa, Coinbase, Google, and dozens of startups. A clear conclusion emerges: true, large-scale demand does not yet exist. Startups face structural challenges. Data points illustrate this gap. Stripe's Agent commerce platform has over 1,000 merchants but only single-digit transacting agents. Visa's Agent payment token requires 9-month KYC and a $250M revenue threshold, accessible only to giants like Amazon. On-chain analysis reveals actual daily Agent transaction volume is around $17k, half of which are test transactions. The article analyzes four potential markets: **1. Agent-to-Merchant (A2M):** Current AI shopping UX is often inferior to traditional e-commerce for visual, comparison-heavy purchases (clothing, electronics). Chat interfaces are a step back. Real merchant interest is defensive "Agent Engine Optimization," fearing future obsolescence, not current demand. Potential exists in high-frequency, low-decision purchases (e.g., food delivery) or simplifying terrible UX (complex checkouts, non-native shoppers), but these require massive consumer distribution channels dominated by giants like DoorDash and Amazon. **2. Agent-to-API (A2A):** Developers already have subscriptions and billing for core APIs (compute, data). The argument for micro-payments via crypto for sub-dollar API calls is addressed by pre-paid balances today. The deeper issue is supplier resistance; major SaaS firms rely on enterprise contracts, not fractional cent pricing. Opportunity lies in the long tail of niche services, but this is a smaller market catering to developers, a historically low-paying group. **3. Agent-to-Agent (A2A):** This remains a theoretical long-term vision with near-zero current transaction volume. It involves unique challenges: discovery, trust, negotiation, dispute resolution. When it materializes, it will require a fundamentally new settlement infrastructure for high-speed, variable-value, multi-party transactions. It's a real long-term bet, but not the current market. **4. Agent-to-Finance (A2F):** This is the only category with existing, paying demand. Integrating AI into financial workflows (trading, portfolio management) is a natural evolution and enables new capabilities like autonomous rebalancing. However, competition favors incumbents with regulatory licenses, compliance infrastructure, and existing client relationships. **The Real Issue:** Why is infrastructure still being built? Incumbents can afford long-term bets, and payment companies see every problem as a nail for their payment hammer. However, payment is just one piece. The core challenge is *coordination*—orchestrating work between Agents and humans, verifying outcomes, and settling results. Payment is part of settlement, which is part of coordination. Companies that solve the coordination problem will subsume payments, not the other way around. Startups lack the infinite runway of giants and must find today's real market, which, after a year of exploration, lies outside these four categories—in an area with real, growing, and underserved activity.

marsbit44m ago

Uncovering the Truth About Agent Commerce, Payments, and Infrastructure

marsbit44m ago

Kalshi, MTS, and a16z's Ambition

The article "Kalshi, MTS, and a16z's Ambition" explores prediction markets as a focal point of excitement in 2025 for investors, crypto enthusiasts, and media. It traces their intellectual lineage from Friedrich Hayek's ideas on dispersed knowledge and market coordination to Robin Hanson's Logarithmic Market Scoring Rule (LMSR), which incentivizes truthful information sharing. The piece argues that a16z's significant investment in prediction market platform Kalshi (valued at $220B) transcends mere financial speculation. a16z frames prediction markets as a new form of "media" that provides "presence"—a way for individuals to actively engage with and influence world events through financial stakes, countering postmodern detachment. By wagering on outcomes, users become "super observers," and the market's aggregated probabilities gain authoritative power to define event truth and importance. The article uses media company MTS ("Monitoring The Situation") as a case study of a16z's "new media" strategy: rapidly producing high-intensity, multi-format content to "take over the timeline." However, prediction markets like Kalshi are presented as the ultimate piece in this media empire. Their real-money, crowd-sourced probabilities possess a unique "reality distortion field" and perceived objectivity, potentially swaying public opinion and granting a private company unprecedented interpretive power over reality. Ultimately, Kalshi's immense valuation is attributed not just to its exchange model, but to its role as a foundational component in a16z's envisioned new media landscape, where prediction markets define narrative and truth.

链捕手44m ago

Kalshi, MTS, and a16z's Ambition

链捕手44m ago

Trading

Spot
Futures
活动图片