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 Feed staleness must be checked to prevent using outdated prices.
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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 Feed staleness must be checked to prevent using outdated prices.
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Think of it as a market mechanic used to price, route, or move capital through liquidity apps.
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AMMs, routing, liquidity, lending, and trading infrastructure.
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Price Feed (price-feed) Category: DeFi Definition: 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 Feed staleness must be checked to prevent using outdated prices. Related: Oracle, Pyth Network, Switchboard
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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).
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.
A decentralized oracle network on Solana providing custom data feeds, verifiable random functions (VRF), and serverless compute (Functions). Unlike Pyth's publisher model, Switchboard uses a permissionless oracle queue where operators run jobs defined by feed creators. Supports any data source via its off-chain oracle job framework.
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The percentage change in a token's price caused by executing a trade against a liquidity pool. Larger trades relative to pool depth cause greater price impact. For example, a $10K trade in a $1M pool causes minimal impact, while the same trade in a $50K pool would move the price significantly. Aggregators minimize price impact by splitting across pools.
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.
A memecoin launchpad on Solana that uses a bonding curve mechanism for token creation and initial price discovery, allowing anyone to launch a token with no code in seconds. Tokens that 'graduate' (reach a market cap threshold) migrate to a DEX for open trading. Pump.fun generated over $300M in fees within its first year and launched PumpSwap, its own DEX, in March 2025.
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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).
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.
A decentralized oracle network on Solana providing custom data feeds, verifiable random functions (VRF), and serverless compute (Functions). Unlike Pyth's publisher model, Switchboard uses a permissionless oracle queue where operators run jobs defined by feed creators. Supports any data source via its off-chain oracle job framework.
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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.