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How to Use On-Chain Data Analysis to Track Active Addresses and Whale Movements in 2025?
Analyzing active addresses and transaction volumes across major blockchains in 2025
The blockchain landscape in 2025 presents a diverse ecosystem with significant variations in network activity and transaction volumes. Examining the data across major blockchains reveals interesting patterns in user engagement and network utilization.
| Blockchain | Active Addresses (Daily) | Transaction Volume | |------------|--------------------------|-------------------| | Ethereum | 15.4M (weekly) | $320B (Aug 2025) | | Solana | 22.24M | 2.9B transactions (Aug 2025) | | BNB Chain | 4.7M | 4M transactions daily | | TRON | 2.5-3M | 7.2M transactions daily | | Polygon | 546,000 (Q1 2025) | 3.4M transactions daily | | Avalanche | 1.3M+ | High volume (specific data N/A) | | Cardano | 27,800 | 2.6M transactions daily |
Solana demonstrates remarkable scalability with transaction volume surpassing Ethereum's entire historical volume since 2015, while maintaining the highest number of active addresses. TRON processes the highest number of daily transactions despite having fewer active addresses than Ethereum and Solana, indicating high transaction frequency per user. Ethereum maintains strong network participation with 15.4 million weekly active addresses and substantial transaction volume reaching $320 billion in August 2025. The data suggests that high-performance blockchains like Solana and TRON are capturing significant market share in transaction throughput, while Ethereum continues to dominate in terms of economic activity.
Tracking whale movements and large holder distributions using on-chain data tools
In the cryptocurrency ecosystem, monitoring Ethereum whale activity provides crucial market insights. Sophisticated on-chain analytics platforms such as Onchainlens, Etherscan, and Whale Alert offer real-time tracking of large ETH transactions exceeding $100,000, which often precede significant price movements. Recent data demonstrates the correlation between whale behavior and market trends:
| Whale Activity Type | Market Impact | Statistical Correlation | |---------------------|---------------|-------------------------| | Large Withdrawals | Bullish signal | 0.79 correlation coefficient | | Exchange Transfers | Price volatility | Precedes 62% of major moves | | Accumulation Periods | Long-term uptrend | Preceded 2025 rally by 3 weeks |
On-chain analytics revealed that addresses holding between 1,000 and 10,000 ETH significantly increased their positions in 2025, with whale accumulation reaching $279.5 million. This strategic movement signaled institutional confidence before the market recognized the trend. Furthermore, when whales transferred 90,000 ETH off exchanges within 48 hours, the price stabilized rather than declined, contradicting typical selling pressure expectations. Serious traders now recognize these distribution patterns as essential predictive indicators, with gate tracking data showing 73% accuracy in forecasting subsequent ETH price directions within 7-10 days after significant whale movements.
Examining on-chain fee trends and their impact on network usage
Ethereum's on-chain fee dynamics have undergone significant transformation in recent years, with remarkable effects on network utilization patterns. Gas fees have plummeted approximately 95% following the Dencun upgrade in 2025, creating a more accessible ecosystem for users and developers alike.
| Metric | 2021 Peak | 2025 (Post-Dencun) | Change | |--------|-----------|-------------------|--------| | Average Transaction Fee | $23+ | $0.44 | -98% | | Daily Gas Fees | $23 million | $7.5 million | -70% | | Total Value Locked (DeFi) | $105 billion | $97 billion | Approaching ATH | | Daily Transactions | 1.9 million | 1.8 million | Near ATH |
The implementation of EIP-1559 has revolutionized fee structures by introducing automatic base fee adjustments relative to network congestion, making transaction costs more predictable for users. This protocol enhancement, combined with increased Layer 2 adoption, has dramatically reduced network congestion while simultaneously supporting higher transaction throughput.
The data reveals an inverse relationship between fees and network activity - despite lower costs, Ethereum is experiencing near-record levels of usage. Daily active addresses are approaching all-time highs while transaction counts surge, demonstrating that reduced barriers to entry have stimulated greater participation in the ecosystem rather than indicating diminished demand for block space.