On-chain transaction fees have become a hot topic again in the last 24 hours. According to data, Hyperliquid's trading costs took the lead at one point, with edgeX and Tron following closely behind. What's the reason behind this spike in fees?

Sudden on-chain congestion typically indicates one of two scenarios—either trading volume suddenly surges, or certain large-scale operations (new project token launches, ecosystem upgrades, large transfers) trigger network pressure. High traffic indeed drives up transaction costs for each trade, which has a notable impact on retail participants.

From a market perspective, when on-chain fees remain elevated, Layer 2 solutions and transaction path optimization schemes often attract more attention. After all, effectively reducing transaction costs is itself a competitive advantage.

However, it's worth noting that single-day data can be distorted by large orders or sudden events and cannot fully represent long-term trends. It's recommended to cross-verify with multiple data sources. High fees don't necessarily indicate strong project fundamentals; sometimes they may even reflect abnormal activity on the chain. Investment decisions should still be based on a project's long-term development fundamentals rather than short-term fee fluctuations.