Expert VerifiedAMM vs Order Book: How Trading on Raydium Actually Works
- Last Updated: 26 Aug 2026
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AMM vs Order Book: How Trading on Raydium Actually Works
Written by Marcus Chen, Research Fellow. Reviewed by Dr. Sarah Mitchell, Blockchain Security Analyst. Updated August 26, 2026.
Research Notice: This guide is part of our fintech research series examining decentralized finance and blockchain infrastructure. It is intended for educational purposes only and does not constitute financial or investment advice.
Most people learn to trade on venues that pair a buyer with a seller. Raydium works differently, and the difference surprises newcomers who expect an order book and find pools instead. This guide explains the automated market maker model, contrasts it with the matching engine of a traditional exchange, and unpacks the two ideas that trip people up most: slippage and price impact.
What is an automated market maker (AMM)?
An automated market maker is a design where you trade against a shared pool of tokens rather than against another person. Liquidity providers deposit two tokens into a pool, and a formula sets the exchange rate automatically based on how much of each token the pool holds. Raydium uses this model on Solana.
The most common version is the constant-product pool. It keeps the two token quantities multiplied together at a fixed value, so adding one token and removing the other always rebalances to preserve that product. Because the formula alone decides the price, a trade can settle at any moment without needing a matching counterparty to appear.
Raydium also offers concentrated liquidity pools, known as CLMM, which let providers concentrate their deposits within a chosen price range instead of spreading them evenly across all prices. This can make capital more efficient, but the underlying idea is the same: you swap against pooled liquidity, and math, not a human on the other side, quotes your price.
How does an order-book exchange match trades?
An order-book exchange keeps a running list of buy and sell orders and matches them by price. Buyers post the most they will pay, sellers post the least they will accept, and when the two meet, a trade executes. Nothing happens until a willing counterparty exists at an agreeable price.
This list of resting orders is the order book, and the gap between the best buy and best sell is the spread. A trade fills against whatever orders are available, so a large order may consume several price levels, taking the best price first and worse prices after. Market makers on such venues profit by continually posting both buy and sell orders around the current price.
The defining feature is that liquidity comes from individual orders that people choose to place and can cancel at any time. If nobody has posted an order at a given price, there is simply nothing to trade against there. This is a very different foundation from a pool that is always willing to quote, and the contrast shapes how the two systems behave under pressure.
How does swapping through a pool differ from filling an order?
Swapping through a pool means trading against a formula and a shared reserve, while filling an order means matching a specific counterparty. In a pool your price depends on the pool's current balance and the size of your trade; in an order book your price depends on which resting orders happen to sit nearby.
The practical effects diverge in useful ways. A pool is always available to trade, even for an obscure pair, as long as someone has funded it, so you rarely wait for a match. An order book can offer very tight pricing when many participants are active, but it can also thin out, leaving wide spreads or no orders at all for quieter assets.
There is also a difference in who provides liquidity and why. Order-book liquidity comes from traders and market makers posting individual quotes they manage actively. Pool liquidity comes from providers who deposit once and earn a share of trading fees passively, accepting the pricing behavior of the formula in exchange. Neither approach is strictly better; they suit different assets and different levels of activity.
What are slippage and price impact in an AMM?
Price impact is how much your own trade moves the pool's price against you, and slippage is the difference between the price you expected and the price you actually get. In an AMM the two are closely linked, because a larger trade shifts the pool balance more and therefore moves your effective price further.
Price impact is a direct result of the pricing formula. As you buy more of a token from a pool, that token becomes scarcer in the reserve, so each additional unit costs more. A small trade in a deep pool barely nudges the price, while a large trade in a shallow pool can move it sharply, and that movement is a cost you pay whether or not anyone is trying to exploit it.
Slippage tolerance is the safeguard you set against this uncertainty. It tells the swap how far the price may move between the moment you submit and the moment it settles before the transaction should cancel instead. Set it too tight and legitimate trades fail repeatedly; set it too loose and you may accept a worse fill than you intended. Reading both numbers before confirming is the habit that keeps outcomes predictable.
How to read an AMM swap before you confirm it: step by step
A swap screen packs several signals into a small space, and reading them in order removes most surprises. The steps below turn the numbers on the screen into a quick check you can run every time before approving a trade.
Step 1: Confirm the token pair
Check that the two tokens shown are exactly the ones you mean to trade, matching each by its contract rather than only its name. Token names are not unique on-chain, so a familiar ticker can hide an impostor contract that a name-only glance would miss.
Step 2: Read the quoted rate
Look at the rate the pool is offering and compare it to a price you already trust for that pair. A rate far from what you expected can signal a shallow pool, an unusual token, or the wrong pair entirely, and it is worth pausing on before you continue.
Step 3: Check the price impact
Find the price impact figure and see how far your trade would move the pool's price against you. A high figure means the pool is thin relative to your size, and breaking a large trade into smaller pieces or choosing a deeper pool can reduce the cost.
Step 4: Set a sensible slippage tolerance
Set a slippage tolerance that protects you from a bad fill without being so tight that the trade repeatedly fails. A moderate value suits calm, liquid pairs, while volatile or shallow pools may need a little more room to settle at all.
Step 5: Review the minimum received
Read the minimum amount you are guaranteed to receive before approving, since that figure is what the swap actually protects. If that floor is acceptable to you, the trade will either meet it or cancel, which is exactly the certainty you want before signing.
AMM pools and order books side by side
The table sets the two models against each other on the points that shape a trade. Use it as a quick reference for why the same order can feel very different depending on which system fills it.
| Aspect | AMM pool (Raydium) | Order-book exchange |
|---|---|---|
| Who you trade against | A shared liquidity pool | A matching counterparty |
| How price is set | By a formula and pool balance | By resting buy and sell orders |
| Availability | Always quotes if funded | Needs orders to exist nearby |
| Main cost on large size | Price impact from the formula | Consuming worse price levels |
| Liquidity source | Passive providers earning fees | Active traders posting quotes |
Both systems ultimately answer the same question of what price you get, but they reach it by different routes. A pool trades certainty of availability for price movement tied to size, while an order book trades potential tightness for dependence on who has posted orders. Knowing which you are using explains most of what you see on the screen.
Frequently asked questions
Why does a large trade move the price more than a small one?
In an automated market maker the price comes from the ratio of the two tokens in the pool, so a big trade changes that ratio noticeably. The more you take from one side, the scarcer it becomes and the more each additional unit costs, which is why size and price impact rise together.
Do AMM pools ever run out of a token?
A constant-product pool never fully empties because the price rises toward infinity as one side approaches zero, making the last units prohibitively expensive. In practice the pool becomes uneconomical to drain long before it could run dry, so trading simply stops being worthwhile.
Is there always someone on the other side of an AMM trade?
Not in the way an order book has a matching counterparty. You trade against the pool itself, which is funded by liquidity providers who deposited both tokens earlier. The pool is always ready to quote a price, which is why swaps can execute without waiting for a matching order.
What is a constant-product formula in simple terms?
It is a rule that keeps the two token amounts in a pool multiplied together at a steady value. When you add to one side and remove from the other, the product must stay the same, and that requirement is what sets the price and makes it shift as the balance changes.