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.
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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.
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AMMs, routing, liquidity, lending, and trading infrastructure.
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Price Impact (price-impact) Category: DeFi Definition: 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. Related: Slippage, Liquidity Pool
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The difference between the expected price of a swap and the actual execution price due to pool ratio changes between submission and execution. Users set slippage tolerance (e.g., 0.5-1%) as a maximum acceptable deviation; the transaction reverts if exceeded. High slippage occurs in thin pools or large trades relative to pool depth.
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.
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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 Feed staleness must be checked to prevent using outdated prices.
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.
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.
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The difference between the expected price of a swap and the actual execution price due to pool ratio changes between submission and execution. Users set slippage tolerance (e.g., 0.5-1%) as a maximum acceptable deviation; the transaction reverts if exceeded. High slippage occurs in thin pools or large trades relative to pool depth.
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.
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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.