Jul 19, 2026

Settlement Rails, Execution Timing, Model Inference, and Data Governance

A daily crypto, finance, and AI vocabulary puzzle covering transfer finality, order timing, inference tradeoffs, and responsible data handling.

Settlement and Custody

These words describe handoff, record keeping, and the point where a transfer becomes difficult to reverse.

SettlementClearingFinalityCustody
  • Settlement: Settlement is the completion of a transfer after obligations are exchanged or recorded.
  • Clearing: Clearing is the process that reconciles instructions before a trade or transfer is finalized.
  • Finality: Finality is the point at which a blockchain transaction or transfer is treated as irreversible.
  • Custody: Custody is the safekeeping and control of assets by an owner or a trusted service.

Execution Timing

These words describe how execution is timed, compared, and affected by market movement.

TWAPVWAPBid-Ask SpreadPrice Impact
  • TWAP: TWAP stands for time-weighted average price, a benchmark used to spread execution over time.
  • VWAP: VWAP stands for volume-weighted average price, a benchmark weighted by traded volume.
  • Bid-Ask Spread: The bid-ask spread is the gap between the best bid and best ask in a market.
  • Price Impact: Price impact is the amount a trade moves the market price as it is executed.

Model Inference

These words describe how text is split, scored, and constrained during generation.

TokenizationAttentionContext WindowHallucination
  • Tokenization: Tokenization is the process of splitting text into units a model can read and process.
  • Attention: Attention is a mechanism that lets a model focus on the most relevant parts of its input.
  • Context Window: A context window is the maximum amount of input and generated text a model can consider at once.
  • Hallucination: A hallucination is a model output that sounds plausible but is not grounded in the provided information.

Data Governance

These words describe where data came from, how it is labeled, and how sensitive content is handled.

ProvenanceLabelingRedactionConsent
  • Provenance: Provenance records where data came from and how it was created or transformed.
  • Labeling: Labeling is the act of tagging examples so they can be used for training or evaluation.
  • Redaction: Redaction removes or masks sensitive information before sharing data more broadly.
  • Consent: Consent is permission for data use that follows the rules set by a person or organization.