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Home»Ethereum»Can Ethereum’s record smart contract growth drive ETH’s price rally?
Ethereum

Can Ethereum’s record smart contract growth drive ETH’s price rally?

August 13, 2025No Comments4 Mins Read
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Ethereum Smart Contract Activity Hits All-Time High After Pectra Upgrade

Ethereum’s 180-day Moving Average of new Smart Contracts has reached an all-time high, surpassing previous peaks. This sustained growth comes after the 2025 Pectra upgrade, which introduced significant improvements to the Ethereum network. The upgrade delivered 100,000 TPS throughput, reduced gas fees by 90%, and expanded the use cases for DeFi and NFTs. These enhancements have led to increased adoption in various sectors such as finance, supply chain management, and real estate tokenization.

Historically, spikes in contract creation have often preceded price rallies for Ethereum. The current surge in contract deployment raises the question of whether this momentum can fuel sustained gains for the cryptocurrency.

Whales Increase ETH Holdings in Strong Accumulation Phase

On-chain data indicates a significant increase in whale accumulation of Ethereum. Large Holders’ Netflow has surged by 36.57% over the past week and 457.68% over the last thirty days. This uptick in whale activity suggests aggressive positioning in the market, which could impact price movements. While large inflows to custodial platforms may signal distribution, they could also indicate accumulation ahead of potential market shifts. Monitoring this Netflow alongside Ethereum’s price rally will be crucial in determining short-term momentum.

Balanced Leverage and Potential Upside

The Long/Short Ratio for Ethereum currently stands at around 50.44% for Longs and 49.56% for Shorts. This balance between long and short positions reflects market caution, with traders avoiding large directional bets. However, a decisive breakout could trigger rapid liquidations on one side, leading to increased volatility. The equilibrium in leverage positions acts as both a stabilizer and a potential risk factor for Ethereum’s price movement.

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Exchange Inflows and Outflows Signal Short-Term Caution

Recent data on Spot Inflow/Outflow shows that inflows into exchanges have surpassed outflows, with $21.56 million moving into exchanges at the time of writing. This trend often indicates profit-taking after price gains. However, Ethereum’s strong developer activity, whale demand, and solid fundamentals could counterbalance any selling pressure. The outcome will depend on whether these coins are quickly sold or held by investors.

Sustaining Gains Amidst Market Dynamics

Ethereum’s current record-breaking contract deployment, increased whale inflows, and stable derivative positions present a mixed short-term outlook for the cryptocurrency. While exchange inflows suggest potential selling pressure, strong network fundamentals and institutional participation offer a counterbalance. The sustainability of Ethereum’s rally will hinge on the continued developer momentum and whale demand outweighing the risks posed by rising exchange inflows. Do you ever wonder how technology is continuously evolving and shaping our daily lives? From smartphones to smart homes, the advancements in technology are revolutionizing the way we live, work, and communicate. One of the most exciting developments in recent years is the rise of artificial intelligence (AI) and machine learning.

AI is the simulation of human intelligence processes by machines, especially computer systems. It allows machines to learn from experience, adapt to new inputs, and perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Machine learning is a subset of AI that focuses on the development of computer programs that can access data and use it to learn for themselves.

The potential applications of AI and machine learning are vast and diverse. In healthcare, AI is being used to analyze medical images and provide more accurate diagnoses. In finance, machine learning algorithms are helping to detect fraudulent transactions and predict market trends. In transportation, self-driving cars are a prime example of AI in action, using sensors and algorithms to navigate the road safely.

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AI and machine learning are also transforming industries such as retail, manufacturing, and customer service. Retailers are using AI-powered chatbots to provide personalized shopping experiences for customers, while manufacturers are using machine learning to optimize production processes and improve efficiency. Customer service departments are using AI to automate routine tasks and provide faster responses to customer inquiries.

While the potential benefits of AI and machine learning are vast, there are also concerns about the ethical implications of these technologies. Issues such as bias in algorithms, data privacy, and job displacement are all important considerations that need to be addressed as AI continues to advance.

Despite these challenges, the future of AI and machine learning is bright. As researchers and developers continue to push the boundaries of what is possible with these technologies, we can expect to see even more exciting innovations in the years to come. From healthcare to finance to transportation, AI and machine learning are poised to revolutionize the way we live and work in ways we never thought possible.

contract Drive Ethereums ETHs Growth Price Rally record smart
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