Market making is the activity that keeps financial markets liquid and tradable, while market makers are individuals or firms that do the process of market making. Market makers are ready to buy from sellers and sell to the buyers at any moment of the trading process. They are the core feature in trading because they provide a smoothness to the trading process due to the liquidity they provide in the trading system.
Market makers have a crucial role in the financial trading environment. By doing their task, it will help the traders to do a trade process without waiting for a perfect counterparty. Market makers will gain the margin and bid-ask spread from the transaction.
As the world of trading evolves, the type of market making also changes. Automated market making exists as an alternative to manual market makers that relies on human transactional behavior.
This article will help the audience to comprehend what is automated market making, how it works, core features of automated market making, its comparison with order books, and risks & benefits of automated market making.

To answer the question what is automated market making? It is important to look at the wider context of Decentralized Finance (DeFi). Traditional finance relies on order books to match transactions with buyers and sellers, while automated market making is a new system in the cryptocurrency world that replaces order books and uses liquidity pools instead of demand & supply as a tool for determining the price.
For instance, automated market making is a process where market makers do the process with automated system. The main protagonist who runs this system is known as “automated market makers” or AMM. This market maker uses an algorithm or program that allows users to trade assets directly through a form of smart contracts.
AMMs consolidate the complex functions in the cryptocurrency world. Some of the roles will benefit other parties that were limited from several challenges before. Their roles in the financial market include:
Instead of relying on human negotiation between buyers and sellers (bid-ask), AMMs use deterministic mathematical formulas like the constant product formula (x x y = k) to calculate asset prices based on their relative scarcity in the liquidity pool. This creates a continuous, automated price discovery mechanism.
Unlike centralized exchanges where orders must be matched with counterparties, AMMs act as an always-present counterparty. Traders interact peer-to-contract, ensuring instant trade execution against the liquidity pool as long as reserves remain, irrespective of market volatility or trade size.
AMMs’ system is not familiar with human intermediaries. The traditional intermediaries, such as brokers and clearinghouses, will be eliminated because this system relies on itself to do all the tasks.
AMMs enable anyone to create new markets by establishing trading pairs and seeding liquidity pools without needing regulatory approval or institutional consent. This open access fosters rapid, democratic formation of new digital economies.
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The core equation used in many Automated Market Makers (AMMs):
x times y = k
In this algorithmic equation:
To further clarify the peer-to-contract trading process, the execution of a standard token swap on an AMM unfolds in a precise, algorithmic sequence. When an asset swap happens, these actions below will be executed by smart contracts:
The user authorizes the smart contract to withdraw a specific amount of Token A from their digital wallet and deposits it into the liquidity pool.
In this step, the pool receives the increase of the token and will update to the system and then will be calculating the tokens based on the formula in the next step.
After the system receives some of the new tokens, the algorithm will automatically calculate the amount needed to deposit using the constant product formula. This action will ensure the amount of k will be the same as before.
The smart contract completes the transaction by transferring the calculated amount of Token B directly to the user’s wallet, finalizing the swap.
Consider a liquidity pool with:
The calculation based on the formulas:
10 x 20,000 = 200,000
If a trader wants to buy 1 ETH, the amount of ETH will decrease to 9. To keep the product constant, the new USDC amount must fulfill the following:
9 x y = 200,000
y = 200,000/9 = 22,222.22
Before the trade, the pool had 20,000 USDC and now it needs 22,222.22 USDC to make constant equal. So, the trader must deposit the difference to the pool:
22,222.22−20,000 = 2,222.22 USDC
The trader needs to deposit 2.222.22 USDC to obtain 1 ETH into their wallet.
After the trade, the ratio in the pool will be 9 ETH : 22,222.2 USDC.
To function securely and efficiently, the automated market making ecosystem relies on several interconnected components and mechanisms.
Smart contracts are one of the key components of the AMM. It is a digital contract that is coded in the blockchain and will be executed when the conditions are met with the pre-determined instruction.
It holds the funds, executes the mathematical pricing formulas, automatically distributes trading fees, and enforces the rules of the protocol. Because they are code-based, they are transparent and verifiable by anyone. Smart contracts act as the incorruptible clearinghouse and broker rolled into one.
A liquidity pool is a digital reserve containing two or more cryptocurrency tokens locked within a smart contract. Instead of an order book, traders interact directly with these reserves.
The efficiency of an AMM depends heavily on the depth of the liquidity pools. Bigger pools result in more stable pricing and lower slippage for traders, while shallow pools are highly volatile.
These are individuals, institutions, or other DeFi protocols that deposit their digital assets into the liquidity pools. This is one of the most important components in the AMM because without the existence of liquidity providers, the automated market making system can’t be running. The liquidity providers often get the incentives through the percentage of the trading fees generated by the platform every time a user swaps tokens within their specific pool.
When liquidity is deposited into an automated market maker pool, the protocol mints and issues liquidity provider tokens to the user as a cryptographic receipt. These tokens represent the provider’s exact proportional share of the entire liquidity pool.
While often overlooked in basic explanations, arbitrageurs are crucial to answering what is automated market making in practice. Since AMMs determine token prices solely based on the internal ratio of tokens in their liquidity pools, these prices can sometimes diverge from the broader global market.
For example, if there are drop prices on BTC in the centralized exchanges, the AMM’s price won’t update until a trade occurs. Arbitrageurs exist as the tool to adjust the token ratios in the AMM pools. It will buy some tokens in the AMM system and then sell them into another exchange. This action can help navigate the AMM prices aligning with the overall market prices on the right path.
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Understanding the differences between AMMs and traditional financial structures highlights why decentralized exchanges have gained massive popularity and billions of dollars in Total Value Locked (TVL). The table below outlines the primary distinctions.
Table 1. Comparison Between Automated and Manual Market Makers
| Feature | Automated Market Makers | Manual Market Makers |
| Pricing Mechanism | Algorithmic mathematical formulas | Bid and ask prices set actively by users and market makers |
| Counterparty | Smart contracts and liquidity pools | Other human traders, brokers, or financial institutions |
| Availability | Available any time | Limited by market hours or maintenance |
| Intermediaries | None | Centralized exchanges and clearinghouses |
| Liquidity Source | From daily users | Professional market makers, institutional whales, and exchange treasuries |
| Slippage | Higher for large orders if it is in small pools | Typically lower in highly liquid markets |
| Censorship | Permissionless. Anyone can trade or list a new asset | Highly permissioned. Requires KYC/AML |
While decentralized liquidity models offer various advantages, they also present technical challenges that market participants must navigate carefully. The paragraphs below will be explaining the risks and benefits of automated market making.
This is a key risk for liquidity providers and often misunderstood. It happens when the price of the assets that they deposited changes significantly compared to the time of deposit. AMMs use a mathematical formula to automatically rebalance token ratios as traders buy and sell.
The loss is not permanent, and the loss will recover when the original price occurs. But it will be a permanent loss if the traders withdraw the token while the price is dropping.
AMMs are governed entirely by code. While top-tier DEXs are heavily audited, code is written by humans and can contain flaws. Any bug, logic error, or exploit in the smart contract can lead to malicious actors draining the permanent loss of all funds locked within the liquidity pool. Unlike traditional banks, there is no FDIC insurance to bail out users if a smart contract is hacked.
In pools with low overall liquidity, executing a large trade can drastically shake the token ratio. This will result in the trader paying a significantly higher premium for the asset than the initial spot price indicated.
AMMs price assets based on pool balances, not external market data. Small pools are vulnerable to price manipulation through large trades that shift pool ratios. Manipulation creates arbitrage opportunities that can harm regular users and liquidity providers.
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This is arguably the greatest achievement of AMMs. Anyone with an internet connection and a digital wallet can trade or provide liquidity. There are no KYC verifications, no credit checks, and no geographical restrictions. It is a truly open financial system.
Because pricing is determined algorithmically by a curve, there is always a price quoted for an asset, no matter how obscure. Trading never halts due to a lack of a direct buyer or seller. Someone can always execute a trade, even if the price impact is severe.
In traditional finance, only massive institutions have the capital to act as market makers and collect the spread. AMMs allow retail investors to put idle assets to work. By supplying capital to liquidity pools, individuals can act as their own bank, earning passive income through accumulated trading fees.
Because AMMs operate on open-source smart contracts, other financial applications can seamlessly integrate with them. Yield aggregators, decentralized lending protocols, and automated portfolio managers can taking their steps directly into AMM liquidity pools to create highly complex financial products.
If someone wants to answer the question of what is automated market making, they need to understand more from a broader point of view. Automated market making is a new way of market makers doing the job that utilizes the automation system to determine the price and do a trade. This process occurs on the decentralized financial system and has the vital role for the financial market.
There are key components in the automated market making, such as smart contracts, liquidity pools, liquidity providers, and liquidity provider tokens. Those features help automated market making run seamlessly in the system. Although this is a new system with various perks, there are still disadvantages that traders should observe. Remain careful about those subjects will help traders maximize the potential of profit using this automated market making system.
Disclaimer: The information provided by Snap Innovations in this article is intended for general informational purposes and does not reflect the company’s opinion. It is not intended as investment advice or recommendations. Readers are strongly advised to conduct their own thorough research and consult with a qualified financial advisor before making any financial decisions.
Tegar Rahman Hidayah is a writer focusing on financial and artificial intelligence topics. His work ranges across various topics such as cryptocurrency, blockchain, artificial intelligence, trading technology, and financial technology solutions. His work targets the audience to understand more about AI-driven trading technology, blockchain, and solving the financial technology problems by providing solutions. By combining in-depth research with accessible narratives, he delivers insights that are both informative and engaging for a wide range of audiences.