Continuous Data Stream

Definition ∞ A continuous data stream refers to an uninterrupted flow of data that is processed sequentially as it arrives, rather than in batches. This constant transmission of information is vital for real-time applications and analytics. In blockchain contexts, it pertains to the constant updates of transaction data, block confirmations, and market prices. Such streams enable immediate reactions and up-to-date system states.
Context ∞ Continuous data streams are particularly relevant in decentralized finance and real-time trading platforms where up-to-the-second information is critical for decision-making and automated processes. News often reports on infrastructure improvements that support higher data throughput or new oracle solutions providing more frequent and reliable off-chain data feeds to smart contracts. The accuracy and latency of these streams directly impact the efficiency and reliability of digital asset markets.