Ethereum hits record network growth — but ETH price isn’t following

ambcryptoPublished on 2026-01-13Last updated on 2026-01-13

Abstract

Ethereum achieved a historic milestone with a record single-day surge of 393,600 new wallet creations, bringing the total number of non-empty wallets to an all-time high of 172.97 million. Despite this explosive network growth, the price of ETH has not followed, remaining range-bound around $3,177—well below its previous resistance levels. Key drivers of wallet growth include Layer-2 networks, stablecoin usage, and airdrop farming, where users hold minimal ETH primarily for transaction fees rather than investment. This disconnect suggests that while Ethereum’s ecosystem is expanding rapidly, it is not generating proportional buying pressure for ETH, indicating that network growth alone may not lead to a price rally.

Ethereum just recorded the largest single-day surge in new wallet creation in its history. However, the price of ETH is barely reacting, a divergence that is raising questions about whether network growth is actually translating into real investment demand.

Data from Santiment shows that 393,600 new Ethereum wallets were created in a single day, the highest daily network growth ever recorded.

At the same time, the number of non-empty Ethereum wallets climbed to 172.97 million, another all-time high, confirming that more users than ever now hold at least some ETH.

Ordinarily, that level of adoption would be expected to support a price breakout. Instead, ETH remains range-bound.

Ethereum adoption is booming, but price is not

Despite the historic surge in wallet growth, Ethereum’s price has not followed through.

On TradingView’s 12-hour ETH/USD chart, Ether is trading around $3,177, still well below the $4,000–$4,500 zone where it was rejected multiple times in 2025.

While ETH has rebounded from its November lows near $2,800, the structure remains a series of lower highs, indicating that bullish momentum remains limited.

The Relative Strength Index [RSI] sits near 60, a level that reflects moderate buying pressure but not the kind of strength typically associated with a sustained breakout.

Volume has also remained muted compared to the peaks seen during previous rally attempts, suggesting that large buyers are not aggressively accumulating.

This creates a clear mismatch: Ethereum is onboarding users at a faster pace than ever, but capital is not flowing into ETH at the same rate.

What is driving the surge in Ethereum wallets?

The Santiment data highlights explosive growth in network activity, but it does not necessarily mean those new users are buying or holding large amounts of ETH.

Much of Ethereum’s recent growth has been driven by:

  • Layer-2 networks such as Base, Arbitrum, and Optimism
  • Stablecoin usage for payments, trading, and remittances
  • Airdrop farming and DeFi activity

In these cases, users often interact with Ethereum while holding minimal ETH, using it only to pay for gas or bridge funds. This increases wallet counts and transaction volume, but it does not create sustained buying pressure for the ETH token itself.

In other words, Ethereum the network is growing — Ethereum the asset is not.

What it means for Ethereum

From a fundamental perspective, Ethereum has never been in a stronger position. Record wallet growth and a rising number of non-empty addresses signal that its role as the backbone of crypto finance continues to expand.

From a market perspective, however, ETH remains stuck in a distribution zone, with buyers failing to push the price back into a clear uptrend.

Until capital inflows and sustained accumulation match on-chain growth, Ethereum’s adoption boom may remain disconnected from ETH’s price — a warning sign for traders expecting network metrics to translate directly into a rally.


Final Thoughts

  • Record wallet creation shows explosive network usage from Layer-2s, stablecoins, and DeFi activity.
  • Most of this growth is not translating into long-term ETH accumulation, keeping the price stuck in a range.

Related Reads

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

The article "a16z: AI's 'Amnesia' – Can Continual Learning Cure It?" explores the limitations of current large language models (LLMs), which, like the protagonist in the film *Memento*, are trapped in a perpetual present—unable to form new memories after training. While methods like in-context learning (ICL), retrieval-augmented generation (RAG), and external scaffolding (e.g., chat history, prompts) provide temporary solutions, they fail to enable true internalization of new knowledge. The authors argue that compression—the core of learning during training—is halted at deployment, preventing models from generalizing, discovering novel solutions (e.g., mathematical proofs), or handling adversarial scenarios. The piece introduces *continual learning* as a critical research direction to address this, categorizing approaches into three paths: 1. **Context**: Scaling external memory via longer context windows, multi-agent systems, and smarter retrieval. 2. **Modules**: Using pluggable adapters or external memory layers for specialization without full retraining. 3. **Weights**: Enabling parameter updates through sparse training, test-time training, meta-learning, distillation, and reinforcement learning from feedback. Challenges include catastrophic forgetting, safety risks, and auditability, but overcoming these could unlock models that learn iteratively from experience. The conclusion emphasizes that while context-based methods are effective, true breakthroughs require models to compress new information into weights post-deployment, moving from mere retrieval to genuine learning.

marsbit17m ago

a16z: AI's 'Amnesia', Can Continuous Learning Cure It?

marsbit17m ago

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

An individual manipulated a weather sensor at Paris Charles de Gaulle Airport with a portable heat source, causing a Polymarket weather market to settle at 22°C and earning $34,000. This incident highlights a fundamental issue in prediction markets: when a market aims to reflect reality, it also incentivizes participants to influence that reality. Prediction markets operate on two layers: platform rules (what outcome counts as a win) and data sources (what actually happened). While most focus on rules, the real vulnerability lies in the data source. If reality is recorded through a specific source, influencing that source directly affects market settlement. The article categorizes markets by their vulnerability: 1. **Single-point physical data sources** (e.g., weather stations): Easily manipulated through physical interference. 2. **Insider information markets** (e.g., MrBeast video details): Insiders like team members use non-public information to trade. Kalshi fined a剪辑师 $20,000 for insider trading. 3. **Actor-manipulated markets** (e.g., Andrew Tate’s tweet counts): The subject of the market can control the outcome. Evidence suggests Tate’sociated accounts coordinated to profit. 4. **Individual-action markets** (e.g., WNBA disruptions): A single person can execute an event to profit from their pre-placed bets. Kalshi and Polymarket handle these issues differently. Kalshi enforces strict KYC, publicly penalizes insider trading, and reports to regulators. Polymarket, with its anonymous wallet-based system, has historically been more permissive, arguing that insider information improves market accuracy. However, it cooperated with authorities in the "Van Dyke case," where a user traded on classified government information. The core paradox is reflexivity: prediction markets are designed to discover truth, but their financial incentives can distort reality. The more valuable a prediction becomes, the more likely participants are to influence the event itself. The market ceases to be a mirror of reality and instead shapes it.

marsbit1h ago

Can a Hair Dryer Earn $34,000? Deciphering the Reflexivity Paradox in Prediction Markets

marsbit1h ago

Trading

Spot
Futures

Hot Articles

How to Buy T

Welcome to HTX.com! We've made purchasing Threshold Network Token (T) simple and convenient. Follow our step-by-step guide to embark on your crypto journey.Step 1: Create Your HTX AccountUse your email or phone number to sign up for a free account on HTX. Experience a hassle-free registration journey and unlock all features.Get My AccountStep 2: Go to Buy Crypto and Choose Your Payment MethodCredit/Debit Card: Use your Visa or Mastercard to buy Threshold Network Token (T) instantly.Balance: Use funds from your HTX account balance to trade seamlessly.Third Parties: We've added popular payment methods such as Google Pay and Apple Pay to enhance convenience.P2P: Trade directly with other users on HTX.Over-the-Counter (OTC): We offer tailor-made services and competitive exchange rates for traders.Step 3: Store Your Threshold Network Token (T)After purchasing your Threshold Network Token (T), store it in your HTX account. Alternatively, you can send it elsewhere via blockchain transfer or use it to trade other cryptocurrencies.Step 4: Trade Threshold Network Token (T)Easily trade Threshold Network Token (T) on HTX's spot market. Simply access your account, select your trading pair, execute your trades, and monitor in real-time. We offer a user-friendly experience for both beginners and seasoned traders.

10.7k Total ViewsPublished 2024.03.29Updated 2025.03.21

How to Buy T

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of T (T) are presented below.

活动图片