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.
Comece pela explicação mais curta e útil antes de aprofundar.
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.
Use primeiro a analogia curta para raciocinar melhor sobre o termo quando ele aparecer em código, docs ou prompts.
Pense nisso como uma mecânica de mercado usada para precificar, rotear ou mover capital em apps de liquidez.
Coloque o termo dentro da camada de Solana em que ele vive para raciocinar melhor sobre ele.
AMMs, roteamento, liquidez, empréstimos e infraestrutura de trading.
Transforme o termo de vocabulário em algo operacional para produto e engenharia.
Este termo destrava conceitos adjacentes rapidamente, então funciona melhor quando você o trata como um ponto de conexão, não como definição isolada.
Use este bloco compacto quando quiser dar contexto aterrado para um agente ou assistente sem despejar a página inteira.
EMA Price (Oracle) (ema-price) Categoria: DeFi Definição: 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 Preços, TWAP (Time-Weighted Average Price)
Use contexto do glossário, relações entre termos, modelos mentais e builder paths para receber respostas estruturadas em vez de output genérico.
Opcional: cole código Anchor, Solana ou Rust para o Copilot mapear primitivas de volta para termos do glossário.
O Copilot vai responder usando o termo atual, conceitos relacionados, modelos mentais e o grafo ao redor do glossário.
Esses ramos mostram quais conceitos esse termo toca diretamente e o que existe uma camada além deles.
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.
Estes são os próximos conceitos que valem abrir se você quiser que este termo faça mais sentido dentro de um workflow real de Solana.
Essas entradas são fáceis de misturar quando você lê rápido, faz prompting em um LLM ou está entrando em uma nova camada 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).
Entradas de glossário só ficam úteis quando estão conectadas. Esses links são o caminho mais curto para ideias adjacentes.
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.
Essas entradas vivem ao lado do termo atual e ajudam a página a parecer parte de um grafo maior, não um beco sem saída.
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.