The exponential moving average price published by Pyth alongside the spot price for each feed. EMA price smooths out short-term price spikes and is more resistant to manipulation than the instantaneous price. Lending protocols often use EMA prices for liquidation calculations to prevent unnecessary liquidations from brief price wicks. The EMA window is typically configured for several minutes of price history.
Empieza por la explicación más corta y útil antes de profundizar.
The exponential moving average price published by Pyth alongside the spot price for each feed. EMA price smooths out short-term price spikes and is more resistant to manipulation than the instantaneous price. Lending protocols often use EMA prices for liquidation calculations to prevent unnecessary liquidations from brief price wicks. The EMA window is typically configured for several minutes of price history.
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.
EMA Price (Oracle) (ema-price) Categoría: DeFi Definición: The exponential moving average price published by Pyth alongside the spot price for each feed. EMA price smooths out short-term price spikes and is more resistant to manipulation than the instantaneous price. Lending protocols often use EMA prices for liquidation calculations to prevent unnecessary liquidations from brief price wicks. The EMA window is typically configured for several minutes of price history. Aliases: Exponential Moving Average Price Relacionados: Pyth Network, Feed de Precios, TWAP (Time-Weighted Average Price)
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.
Time-Weighted Average Price—an average price calculated over a specific time period, weighting each price equally by time. TWAP oracles reduce manipulation risk vs. spot prices. Some DEXs (e.g., Jupiter) offer TWAP execution that splits large orders over time. Pyth provides EMA (exponential moving average) prices as a similar anti-manipulation measure.
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 reference spot price sourced from oracle feeds (Pyth, Switchboard) used as the benchmark in derivatives trading. Index price represents the aggregate market price across major exchanges and is used to calculate funding rates and as a component of mark price. Accurate index prices are critical for fair liquidation and funding rate calculations in perps protocols.
The fair value price used by perpetual contract platforms to calculate unrealized PnL and trigger liquidations. Mark price is typically derived from a combination of the oracle index price and the order book or AMM mid-price, weighted to resist manipulation. Using mark price instead of last traded price prevents liquidation hunting through short-lived price spikes on thin markets.
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).
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.
Time-Weighted Average Price—an average price calculated over a specific time period, weighting each price equally by time. TWAP oracles reduce manipulation risk vs. spot prices. Some DEXs (e.g., Jupiter) offer TWAP execution that splits large orders over time. Pyth provides EMA (exponential moving average) prices as a similar anti-manipulation measure.
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.