On-chain data from Ethereum can offer valuable insights into predicting price trends. Metrics like transaction volume, active addresses, and gas fees reflect network activity—higher usage often correlates with bullish sentiment, while declines may signal bearish trends. Whale movements, tracked via large wallet transactions, can indicate potential pumps or dumps. Additionally, the supply of ETH locked in smart contracts or staking (e.g., Ethereum 2.0) reduces circulating supply, potentially driving prices up if demand holds. Exchange inflows/outflows also matter: inflows might suggest selling pressure, while outflows hint at accumulation. By analyzing these on-chain signals—available through tools like Glassnode or Etherscan—traders can spot patterns and shifts in market behavior. However, while on-chain data enhances predictions, it’s not foolproof and should be paired with technical and macro analysis for accuracy.