A measure of uncertainty published alongside each Pyth price feed, representing the range within which the true price likely falls. If SOL/USD is $150 with a confidence interval of $0.10, the price is between $149.90 and $150.10 with high probability. DeFi protocols should use confidence intervals to widen spreads or pause operations during periods of high uncertainty to avoid acting on imprecise prices.
Empieza por la explicación más corta y útil antes de profundizar.
A measure of uncertainty published alongside each Pyth price feed, representing the range within which the true price likely falls. If SOL/USD is $150 with a confidence interval of $0.10, the price is between $149.90 and $150.10 with high probability. DeFi protocols should use confidence intervals to widen spreads or pause operations during periods of high uncertainty to avoid acting on imprecise prices.
Usa primero la analogía corta para razonar mejor sobre el término cuando aparezca en código, docs o prompts.
Piensa en esto como una mecánica de mercado usada para poner precio, rutear o mover capital en apps de liquidez.
Ubica el término dentro de la capa de Solana en la que vive para razonar mejor sobre él.
AMMs, routing, liquidez, préstamos e infraestructura de trading.
Convierte el término de vocabulario en algo operacional para producto e ingeniería.
Este término desbloquea conceptos adyacentes rápido, así que funciona mejor cuando lo tratas como un punto de conexión y no como una definición aislada.
Usa este bloque compacto cuando quieras dar contexto sólido a un agente o asistente sin volcar toda la página.
Confidence Interval (Oracle) (confidence-interval) Categoría: DeFi Definición: A measure of uncertainty published alongside each Pyth price feed, representing the range within which the true price likely falls. If SOL/USD is $150 with a confidence interval of $0.10, the price is between $149.90 and $150.10 with high probability. DeFi protocols should use confidence intervals to widen spreads or pause operations during periods of high uncertainty to avoid acting on imprecise prices. Relacionados: Pyth Network, Feed de Precios, Oráculo
Usa contexto del glosario, relaciones entre términos, modelos mentales y builder paths para recibir respuestas estructuradas en vez de output genérico.
Opcional: pega código Anchor, Solana o Rust para que el Copilot mapee primitivas de vuelta al glosario.
El Copilot responderá usando el término actual, conceptos relacionados, modelos mentales y el grafo alrededor del glosario.
Estas ramas muestran qué conceptos toca este término directamente y qué existe una capa más allá de ellos.
A high-frequency oracle network publishing price feeds for crypto, equities, commodities, and FX. Pyth aggregates data from 90+ first-party publishers (market makers, exchanges) and updates prices every 400ms on Solana. Each price feed includes a price, confidence interval, and exponential moving average. Pyth uses a pull model with Hermes for cross-chain delivery.
An on-chain account maintained by an oracle (Pyth or Switchboard) containing the current price, confidence interval, and timestamp for an asset pair (e.g., SOL/USD). DeFi programs read price feeds to calculate collateral values, trigger liquidations, and determine swap rates. Feed staleness must be checked to prevent using outdated prices.
A service that provides external data (prices, randomness) to on-chain programs. DeFi protocols rely on oracles for accurate price feeds to calculate collateral ratios, liquidation thresholds, and swap rates. Solana's primary oracles are Pyth (high-frequency price feeds) and Switchboard (general-purpose data feeds and VRF).
Estos son los siguientes conceptos que vale la pena abrir si quieres que este término tenga más sentido dentro de un workflow real de Solana.
Estas entradas son fáciles de mezclar cuando lees rápido, haces prompting a un LLM o estás entrando en una nueva capa de Solana.
The condition where an oracle price feed has not been updated within an acceptable time window, making the price data potentially unreliable. Stale prices can lead to incorrect liquidations, mispriced trades, or exploitable arbitrage. Solana DeFi protocols must check the timestamp of oracle updates and reject or pause operations when prices exceed a staleness threshold (e.g., 30 seconds for Pyth feeds).
An oracle design where price updates are fetched on-demand by the consuming protocol rather than pushed to on-chain accounts at fixed intervals. Pyth pioneered the pull model on Solana: prices are published to an off-chain service (Hermes) and only written on-chain when a transaction needs them. This reduces costs since unused price updates are never posted, but requires transactions to include price update instructions.
Las entradas del glosario se vuelven útiles cuando están conectadas. Estos enlaces son el camino más corto hacia ideas adyacentes.
A high-frequency oracle network publishing price feeds for crypto, equities, commodities, and FX. Pyth aggregates data from 90+ first-party publishers (market makers, exchanges) and updates prices every 400ms on Solana. Each price feed includes a price, confidence interval, and exponential moving average. Pyth uses a pull model with Hermes for cross-chain delivery.
An on-chain account maintained by an oracle (Pyth or Switchboard) containing the current price, confidence interval, and timestamp for an asset pair (e.g., SOL/USD). DeFi programs read price feeds to calculate collateral values, trigger liquidations, and determine swap rates. Feed staleness must be checked to prevent using outdated prices.
A service that provides external data (prices, randomness) to on-chain programs. DeFi protocols rely on oracles for accurate price feeds to calculate collateral ratios, liquidation thresholds, and swap rates. Solana's primary oracles are Pyth (high-frequency price feeds) and Switchboard (general-purpose data feeds and VRF).
Estas entradas viven junto al término actual y ayudan a que la página se sienta parte de un grafo de conocimiento más amplio en lugar de un callejón sin salida.
A protocol that enables token swaps using algorithmic pricing against pooled liquidity instead of matching individual buyers and sellers. AMMs use mathematical formulas (typically constant product x*y=k) to determine prices based on the ratio of tokens in a liquidity pool. On Solana, major AMMs include Raydium, Orca, and Meteora.
An AMM design where liquidity providers concentrate their capital within specific price ranges instead of across the full 0-to-infinity range. CLMMs dramatically improve capital efficiency—LPs earn more fees per dollar deposited within their active range. If the price moves outside the range, the position becomes inactive. Orca Whirlpools and Raydium CLMM are leading implementations on Solana.
A smart-contract-held reserve of two or more tokens that enables trading via an AMM. Users deposit token pairs in specified ratios to become liquidity providers and earn trading fees. Pools are identified by their token pair and fee tier. Pool depth (total value locked) determines price impact for trades.
A token issued to liquidity providers representing their proportional share of a pool's reserves and accrued fees. LP tokens can be burned to withdraw the underlying assets. The value of LP tokens changes as the pool's token ratios shift and fees accumulate. LP tokens are often stakeable in yield farming programs for additional rewards.