CORE DEFI PRIMITIVES AND MECHANICS

The Core Mechanics of Automated Market Makers

4 min read
#DeFi #Slippage #Liquidity Pools #Yield Farming #AMM
The Core Mechanics of Automated Market Makers

Automated Market Makers (AMMs) have become a cornerstone of decentralized finance, which is explored in depth in our post on Understanding AMMs and the Constant Product Formula. They allow anyone to trade assets, provide liquidity, and earn fees without a traditional order book.

At the heart of every AMM lies a simple mathematical relationship that guarantees a continuous pricing curve: the constant‑product formula, written as x × y = k (Understanding AMMs and the Constant Product Formula).

Birth of the Constant‑Product Model

In the early days of cryptocurrency exchanges, order books dominated. Buyers and sellers posted bids and asks, and the market price emerged from matching these orders. Decentralized exchanges lacked an off‑chain order book, so a different mechanism was needed. The constant‑product formula solved this problem by ensuring that the product of the reserves of two assets remained constant after each trade.

Liquidity Pools

A liquidity pool is a smart‑contract‑managed pool of two (or more) tokens. Liquidity pools are explored in detail in our guide to Building Liquidity Pools with the x × y = k Formula.

Impermanent Loss

Impermanent loss (sometimes referred to as impermanent loss) occurs when the relative prices of pooled assets change, causing LPs to hold more of the depreciated asset after a swap.

Variants of the Constant‑Product AMM

While the simple x × y = k model is widely adopted, several variants tweak the formula to offer different incentives.

Constant‑Sum AMM

Here, x + y = k. This model maintains a fixed price but offers no protection against large trades. It is mainly used for stable‑coin pairs where the exchange rate is expected to stay constant.

Concentrated Liquidity

Uniswap v3 introduced the ability to concentrate liquidity within specific price ranges. LPs provide liquidity only when the market price falls within that range, increasing capital efficiency and reducing impermanent loss.

Multi‑Asset Pools

Protocols like Curve use weighted curves that allow more than two assets in a single pool, with a formula that keeps the pool balanced across all tokens. This is ideal for stablecoins and wrapped assets.

Real‑World Use Cases of AMMs

  1. Decentralized Trading – Users can swap tokens directly on the blockchain, with no central authority.
  2. Yield Farming – By staking LP tokens in other protocols, LPs can earn additional rewards.
  3. Cross‑Chain Swaps – Bridges and cross‑chain AMMs enable swapping assets across different blockchains.
  4. Liquidity Mining – Incentivizing liquidity provision by rewarding LPs with governance tokens.

These applications demonstrate how AMMs have become an ecosystem catalyst, unlocking liquidity wherever it is needed.

The Future of AMMs

Research and development continue to push the boundaries of AMMs. Some promising directions include:

  • Dynamic Fee Structures – Adjusting fees based on volatility or pool depth to better align incentives.
  • Composable AMMs – Allowing pools to be linked together to create more complex trading paths.
  • Improved Oracle Integration – Reducing price manipulation by feeding off‑chain price data.
  • Layer‑2 Scaling – Leveraging roll‑ups to reduce gas costs and increase throughput.

As DeFi matures, AMMs will likely evolve into more efficient, adaptable, and user‑friendly mechanisms that can support an ever‑wider array of assets and use cases.

Bottom Line

The constant‑product formula, x × y = k, is the elegant mathematical backbone that powers Automated Market Makers. Understanding how the formula works, the mechanics of swaps, the implications of slippage and impermanent loss, and the strategies for managing liquidity gives traders and LPs a solid foundation to navigate the DeFi landscape.

By mastering these core principles, participants can make informed decisions, minimize risk, and harness the full potential of AMMs in a rapidly evolving financial ecosystem.

Lucas Tanaka
Written by

Lucas Tanaka

Lucas is a data-driven DeFi analyst focused on algorithmic trading and smart contract automation. His background in quantitative finance helps him bridge complex crypto mechanics with practical insights for builders, investors, and enthusiasts alike.

Discussion (10)

DE
defi_novice 2 months ago
I think the article does a really good job explaining the constant‑product formula, especially how slippage works.
LI
liquidity_babe 2 months ago
Honestly, I'm still confused about how impermanent loss actually plays out in real pools.
ST
steady_learner 1 month ago
I found that impermanent loss really drops if you add more stable assets, so the overall exposure stays lower.
SK
skeptical_jane 2 months ago
Sure, but you forgot that the x×y=k model also means that the pool can be drained if traders keep buying one side.
IN
info_guru 1 month ago
I read the article and it actually clarifies that slippage can make the pool vulnerable, but it's mitigated by large liquidity.
LP
LP_hero 2 months ago
I used to provide liquidity on a stable‑coin pair and saw a 0.4% impermanent loss after a month; I kept it because the fee yield fairly covered it.
DE
defi_dude 2 months ago
You know what? The article missed that concentrated liquidity really changes the formula to k = (x + y)×(x + y), not just x×y. That's why traders can set tighter ranges.
DE
defi_dude2 1 month ago
You’re partly right, but the concentrated liquidity doesn't change k; it just adjusts the effective range while keeping the constant‑product invariant.
ME
meme_guy 2 months ago
LOL I can't even read the math part, but the visuals are pretty cool.
ME
meme_guy2 2 months ago
Haha, I totally get you. The math looks intimidating, but the interface hides it.
LI
liquidity101 2 months ago
I would absolutely suggest new LPs to start with a 50/50 pool and keep half in a stable‑coin for emergencies.
EG
ego_king 2 months ago
You think that's the whole story, bro? Concentrated liquidity is actually just a marketing buzz; the math hasn't changed.
QU
quick_comment 2 months ago
Actually, the constant‑sum model is only for stable‑coins; you can't use it for any volatile pair.
CO
confused_user 2 months ago
I totally misunderstood earlier; the pool doesn't change k, it just reshuffles liquidity.
CL
clarify_bot 1 month ago
You’re absolutely right that k stays constant; it's just the distribution that shifts when you add or remove liquidity.

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Contents

confused_user I totally misunderstood earlier; the pool doesn't change k, it just reshuffles liquidity. on The Core Mechanics of Automated Market M... Aug 27, 2025 |
quick_comment Actually, the constant‑sum model is only for stable‑coins; you can't use it for any volatile pair. on The Core Mechanics of Automated Market M... Aug 27, 2025 |
ego_king You think that's the whole story, bro? Concentrated liquidity is actually just a marketing buzz; the math hasn't changed... on The Core Mechanics of Automated Market M... Aug 26, 2025 |
liquidity101 I would absolutely suggest new LPs to start with a 50/50 pool and keep half in a stable‑coin for emergencies. on The Core Mechanics of Automated Market M... Aug 26, 2025 |
meme_guy LOL I can't even read the math part, but the visuals are pretty cool. on The Core Mechanics of Automated Market M... Aug 25, 2025 |
defi_dude You know what? The article missed that concentrated liquidity really changes the formula to k = (x + y)×(x + y), not jus... on The Core Mechanics of Automated Market M... Aug 25, 2025 |
LP_hero I used to provide liquidity on a stable‑coin pair and saw a 0.4% impermanent loss after a month; I kept it because the f... on The Core Mechanics of Automated Market M... Aug 24, 2025 |
skeptical_jane Sure, but you forgot that the x×y=k model also means that the pool can be drained if traders keep buying one side. on The Core Mechanics of Automated Market M... Aug 24, 2025 |
liquidity_babe Honestly, I'm still confused about how impermanent loss actually plays out in real pools. on The Core Mechanics of Automated Market M... Aug 23, 2025 |
defi_novice I think the article does a really good job explaining the constant‑product formula, especially how slippage works. on The Core Mechanics of Automated Market M... Aug 23, 2025 |
confused_user I totally misunderstood earlier; the pool doesn't change k, it just reshuffles liquidity. on The Core Mechanics of Automated Market M... Aug 27, 2025 |
quick_comment Actually, the constant‑sum model is only for stable‑coins; you can't use it for any volatile pair. on The Core Mechanics of Automated Market M... Aug 27, 2025 |
ego_king You think that's the whole story, bro? Concentrated liquidity is actually just a marketing buzz; the math hasn't changed... on The Core Mechanics of Automated Market M... Aug 26, 2025 |
liquidity101 I would absolutely suggest new LPs to start with a 50/50 pool and keep half in a stable‑coin for emergencies. on The Core Mechanics of Automated Market M... Aug 26, 2025 |
meme_guy LOL I can't even read the math part, but the visuals are pretty cool. on The Core Mechanics of Automated Market M... Aug 25, 2025 |
defi_dude You know what? The article missed that concentrated liquidity really changes the formula to k = (x + y)×(x + y), not jus... on The Core Mechanics of Automated Market M... Aug 25, 2025 |
LP_hero I used to provide liquidity on a stable‑coin pair and saw a 0.4% impermanent loss after a month; I kept it because the f... on The Core Mechanics of Automated Market M... Aug 24, 2025 |
skeptical_jane Sure, but you forgot that the x×y=k model also means that the pool can be drained if traders keep buying one side. on The Core Mechanics of Automated Market M... Aug 24, 2025 |
liquidity_babe Honestly, I'm still confused about how impermanent loss actually plays out in real pools. on The Core Mechanics of Automated Market M... Aug 23, 2025 |
defi_novice I think the article does a really good job explaining the constant‑product formula, especially how slippage works. on The Core Mechanics of Automated Market M... Aug 23, 2025 |