Avalanche (AVAX) and NEAR Protocol (NEAR): Can On-Chain Momentum and Ecosystem Growth Justify a Rally?

The Altcoin Rivalry: On-Chain Metrics as the New Barometer
In a market where speculative narratives often dominate, on-chain analytics and DeFi ecosystem growth have emerged as critical indicators of a blockchain's long-term viability. For AvalancheAVAX-- (AVAX) and NEAR ProtocolNEAR-- (NEAR), the third quarter of 2025 has delivered a mixed bag of outcomes. While both networks have demonstrated resilience in user adoption and transaction throughput, their paths to scaling DeFi liquidity and institutional traction diverge sharply.
Avalanche (AVAX): The DeFi Resurgence
Avalanche's Q3 2025 performance underscores its role as a DeFi powerhouse. Daily transactions surged to 10.8 million, a 178% quarter-over-quarter increase, driven by the C-Chain's 50.4% rise in token-related activity and the launch of Pulsar, a blockchain game processing 1.8 million daily transactions [1]. The network's Total Value Locked (TVL) doubled to $2.1 billion by September 2025, fueled by protocols like AaveAAVE-- ($515.2 million) and the integration of sUSDe and PendlePENDLE-- Finance [2].
Critically, Avalanche's Octane upgrade slashed transaction fees by 42.7%, making it a cost-effective alternative to EthereumETH-- and SolanaSOL-- [3]. Institutional adoption has further accelerated, with Toyota's Mobility Orchestration Network and SkyBridge's $300 million tokenized hedge fund anchoring the ecosystem [4]. AVAX's price has mirrored this growth, climbing to $30.42 in September 2025, with technical indicators suggesting a potential breakout to $35–$40 if the $30 resistance level is breached [5].
NEAR Protocol (NEAR): Scalability and AI-Driven Innovation
NEAR's Q3 2025 narrative is defined by scalability breakthroughs and AI integration. The Nightshade 2.0 upgrade reduced block times to 600ms and finality to 1.2 seconds, enabling 63.73 transactions per second (TPS) via sharding [6]. This positioned NEAR as one of the fastest Layer-1s, with 46 million monthly active users and 1.4 million daily transactions [7].
DeFi TVL on NEAR grew to $251.44 million, a 7.63% quarter-over-quarter increase, driven by protocols like Ref Finance ($225 million) and Burrow ($150 million) [8]. Liquid staking TVL also rose to $279.66 million, with 52.36% of the token supply staked at an 8.60% annualized yield [9]. However, NEAR's market cap dropped 27% in Q3 2024, reflecting broader market volatility [10].
NEAR's unique value proposition lies in AI integration, with partnerships like Nillion and KAIKAI.ai driving real-world utility. The Intents product alone hit $1 billion in all-time transaction volume, outpacing Avalanche's 700,000 daily transactions [11].
Comparative Analysis: Momentum vs. Maturity
While Avalanche's DeFi TVL ($2.1 billion) dwarfs NEAR's ($251.44 million), NEAR's transaction throughput and developer activity (2,480 active developers) suggest a more agile ecosystem [12]. Avalanche's institutional partnerships and TVL growth indicate a mature DeFi hub, but its reliance on high TVL exposes it to liquidity risks during market downturns.
NEAR, conversely, is betting on scalability and AI adoption to capture a niche in the next wave of blockchain use cases. Its 15.8% quarter-over-quarter growth in daily returning addresses and 11.06% rise in new addresses highlight a sticky user base [13]. However, its lower TVL and staking metrics lag behind Avalanche's, which could hinder mass adoption.
Strategic Entry Points: Timing the Rally
For investors, the key lies in asymmetric risk-reward profiles. Avalanche's TVL and institutional traction make it a safer bet for a short-to-medium-term rally, particularly if the $30 price level is convincingly breached. NEAR, while riskier, offers higher upside potential in a bullish market due to its AI-driven innovation and low fees.
Both projects are positioned to benefit from blockchain's next phase of adoption, but their trajectories depend on execution. Avalanche must sustain TVL growth and institutional partnerships, while NEAR needs to convert its technical advantages into tangible DeFi and AI use cases.



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