Price impact is how far a single trade moves the market price, as a direct function of trade size against pool depth. It is the market-level effect that subsequent traders and the price oracle observe after a trade settles, and the clearest measure of whether a pool can absorb institutional-scale flow.
Price impact scales with the ratio of trade size to pool reserve, not the absolute size, so chart it across trade sizes to find the pool's real capacity ceiling.
How it is calculated
Price impact is the percentage change between the pre-trade and post-trade price. It is related to slippage but distinct: slippage is the gap for the trader, price impact is the market-level effect everyone else sees afterward. In a thin pool, a large trade carries both at once.
In a constant-product AMM, price impact for a buy of size delta_x into a pool with reserve x is roughly 2 times delta_x divided by x for small trades; the full formula applies for large ones. A $10K buy in a $100K pool has the same percentage impact as a $1M buy in a $10M pool.
Design consequence
Price impact is the right tool for setting the pool's capacity ceiling. Define the maximum acceptable impact for the largest expected trade, derive the required reserve from that constraint, and confirm the treasury can seed it. If the largest expected trade is $100K and acceptable impact is 5%, the pool needs at least $2M in reserves. That is the minimum viable pool for this spec.
Example
A project targeting institutional buyers who transact in $500K-$1M lots needs a pool with $10M-$20M in reserves to keep price impact under 5% per trade. Seed a $500K pool with that buyer profile and every institutional transaction moves price 10-20%, creating adverse selection and driving professional capital to other venues.
Common mistake
Teams design the pool for retail trade sizes when the strategy includes institutional participants, or the reverse. Impact curves are asymmetric: small trades barely register, large trades move price disproportionately. Skipping the impact chart leaves the team blind to the segment that causes the most disruption.
See Tokenomics Design for how this applies in practice.
More in Launch and Markets
- Token generation event (TGE)
- TGE float
- Effective sellable float
- Initial coin offering (ICO)
- Initial DEX offering (IDO)
- Initial exchange offering (IEO)
- Decentralized exchange (DEX)
- Automated market maker (AMM)
- Liquidity pool
- Concentrated liquidity (V3) versus constant-product (V2)
- Liquidity depth
- Slippage
- Market maker
- Buy pressure
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