constant product market makers

The above calculations might seem too abstract and dry. A qualified professional should be consulted prior to making financial decisions. The main advantage of constant product AMMs is that they are relatively simple to understand and use. A constant mean market maker is a generalization of a constant product market maker, allowing for more than two assets and weights outside of 50/50. Today, you can farm for yield maximize profits by moving LP tokens in and out of different DeFi apps. As we will see many times in this book, this simple requirement is the core algorithm of how Although Automated Market Makers harness a new technology, iterations of it have already proven an essential financial instrument in the fast-evolving DeFi ecosystem and a sign of a maturing industry. Constant Function Market Makers (CFMMs) are a family of automated market makers that enable censorship-resistant decentralized exchange on public blockchains. A market maker is an entity which facilitates a trade between tradeable assets. What worked in the past is a thing of the past and doesn't work anymore. In this paper, we focus on the analysis of a very large class of automated market makers, called constant function market makers (or CFMMs) which includes existing popular market makers such as Uniswap, Balancer, and Curve, whose yearly transaction volume totals to billions of dollars. While this function produces zero slippage, it does not provide infinite liquidity and thus is likely unfit as a standalone implementation for a decentralized exchange use-case. 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Most AMMs use a constant product market maker model. Instead of relying on the traditional buyers and sellers in a financial market, AMMs keep the DeFi ecosystem liquid 24/7 via liquidity pools. Were basically giving a pool some amount of token 0 and getting some amount of token 1. Smart contract developers even create front running bots just for this purpose.This can potentially distort the market and make it harder for the AMM to maintain the constant product. The essence of current versions of automated market makers is best expressed through the constant product equation: x * y = k. Based on it, if a swap pool owns some units of token x and some units of token y, it prices trades so that the quantities of x and y resulting after the trade, when multiplied, are equal to a fixed constant, k. means there is a constant balance of assets that determines the price of tokens in a liquidity pool. However, the execution price is 0.666, so we get only 133.333 of token 1! The structure of the paper is as follows. As I mentioned in the previous section, there are different approaches to building AMM. Since AMMs usually have a fee, the product of the reserves is not really a constant in practice. Front Running: This is the procees in which traders try to take advantage of the AMM Formula, for instance if a trader knows that the price of asset A is going to increase, they might try to buy a large amount of asset B before the price starts to decrease. vAMMs use the same x*y=k constant product formula as CPMMs, but instead of relying on a liquidity pool, traders deposit collateral to a smart contract. The actual price of the trade is the slope of the line connecting the two points. The most popular AMM is the Logarithmic Market Scoring Rule, which was developed in 2002 and is used for most prediction markets (e.g. At this point, We derive the replicating portfolio and greeks for a constant product market with bounded liquidity such as Uniswap v3. Token prices are simply relations of reserves: $$P_x = \frac{y}{x}, \quad P_y=\frac{x}{y}$$. The constant product formula is a simple rule that allows anybody to spin up both a new market and a new AMM for a new pair of assets instantaneously. $$r\Delta x = \frac{xy - xy + x \Delta y}{y - \Delta y}$$ The job of the pool is to give An automated market maker (AMM) is a system that automatically facilitates buy and sell orders on a decentralized exchange. Product-market fit is a moving target. We show that the constant sum (used by mStable), constant product (used by Uniswap and Balancer), constant reserve (HOLD-ing), and constant harmonic mean trading functions are special cases of the constant power root trading function. "Decentralized Finance: On Blockchain- and Smart Contract-Based Financial Markets", "A Practical Liquidity-Sensitive Automated Market Maker", "Logarithmic markets coring rules for modular combinatorial information aggregation", https://github.com/patrick-layden/HyperConomy, https://en.wikipedia.org/w/index.php?title=Constant_function_market_maker&oldid=1141745032, Creative Commons Attribution-ShareAlike License 3.0, This page was last edited on 26 February 2023, at 15:49. The pool gives us some amount of token 1 in exchange ($\Delta y$). {\displaystyle \varphi } $$(x + r\Delta x)(y - \Delta y) = xy$$ (the token they want to buy). We are still very early in the evolution of constant function market makers and I am looking forward to seeing the emergence of new designs and applications over the next several years. Learn about the role of oracles, use cases, and more. This example is from the Desmos chart made by Dan Robinson, This is evident in both traditional markets and centralized crypto exchanges, where asset prices are influenced by factors like order book depth, buy-side or sell-side liquidity, trading history, and private information. In practice, because Uniswap charges a 0.3% trading fee that is added to reserves, each trade actually increases k. A constant product function forms a hyperbola when plotting two assets, which has a desirable property of always having liquidity as prices approach infinity on both sides of the spectrum. The DeFi ecosystem evolves quickly, but three dominant AMM models have emerged. A note on privacy in constant function market makers. $$r\Delta x = \frac{xy - x(y - \Delta y)}{y - \Delta y}$$ Hybrid CFMMs enable extremely low price impact trades by using an exchange rate curve that is mostly linear and becomes parabolic only once the liquidity pool is pushed to its limits. arXiv preprint arXiv:2103.01193, 2021. Constant product market maker If you're familiar with Uniswap, you've seen this equation x * y = k thrown around. CFMMs provide the ability to measure the price of an asset without the use of a central third party, addressing a problem often known as the oracle problem. Arbitrage trades have been shown to align the prices reported by CFMMs with those of external markets. To build a better intuition of how it works, try making up different scenarios and The price of tokens in the AMM before adding the liquidity = (X + dx) / (Y + dy): From the above equation we can find both the amount of token A added (dx) given the amount of token B added (dy) i.e what is dy given dx ? In fact, the creator of the term stated that bonding curve was actually intended to be used in the context of a bonded together curation community. Impermanent Loss is the potential for a market maker to experience a loss due to changes in the relative prices of the assets that they are holding as part of their market making activities. Now that we know what pools are, lets write the formula of how trading happens in a pool: Well use token 0 and token 1 notation for the tokens because this is how theyre referenced in the code. For example: in a ETH/USDC pool, ETH is priced in terms of USDC and USDC is priced in terms of ETH. Curve and Shell have demonstrated that there exists a design space for constant functions that are tailored for specific types of digital assets. A constant sum function forms a straight line when plotting two assets, resulting in the equation x+y=k. This has made these rules popular in prediction markets (fixed cost of . AMMs fix this problem of limited liquidity by creating liquidity pools and offering liquidity providers the incentive to supply these pools with assets. This leads to very high capital efficiency, but with the trade-off of requiring active participation and oversight of liquidity provisioning. The opposite happens to the price of BTC in an ETH-BTC pool. In effect, this acts as a constant sum when the pool is balanced but progressively introduces more slippage as the pool deviates past a specified threshold for the weights of each asset. And, magically, While automated market makers have been studied in both theory and practice, constant function market makers (CFMMs) are a zero to one innovation for both academic literature and financial markets. Therefore, they are the "source" of price discovery for trades. Some of the famous market makers are Goldman Sachs, Binance, etc. Anyone with an internet connection and in possession of any type of, can become a liquidity provider by supplying tokens to an AMMs liquidity pool. Conversely, the price of BTC goes down as there is more BTC in the pool. Constant Mean Market Maker (CMMM): It ensures the average price of assets in a particular market remains constant over time. Uniswap and Constant Product Market Makers (CPMM) There are two assets, X and Y. Denote by x the volume of X and by y the volume of Y in the reserves. If we increase liquidity by 5% the shares also increase by 5 %. When we buy token 1 for token 0, we give some amount of token 0 to the pool ($\Delta x$). The secret ingredient of AMMs is a simple mathematical formula that can take many forms. This also holds true for AMMs. This formula has the desirable property that larger trades (relative to reserves) execute at exponentially worse rates than smaller ones. AMMs use a constant product formula . This new technology is decentralized, always available for trading, and does not rely on the traditional interaction between buyers and sellers. Instead, there needed to be many ways to trade tokens, since non-AMM exchanges were vital to keeping AMM prices accurate. The term constant function refers to the fact that any trade must change the reserves in such a way that the product of those reserves remains unchanged (i.e. Uniswap popularized the mathematical formula: 0.3% regardless of the size of the liquidity pool). Market makers are agents that alleviate this problem by facilitating trade that would otherwise not occur in those markets. Liquidity providers normally earn a fee for providing tokens to the pool. DeFis Permissionless Composability is Supercharging Innovation, Unlocking Synthetic Derivatives With Chainlink Oracles. Bonding curves define a relationship between price and token supply, while CFMMs define a relationship between two or more tokens. On AMM platforms, instead of trading between buyers and sellers, users trade against a pool of tokens a liquidity pool. Because of this matching process, there is the possibility that some orders may take a while to get filled, if ever. This new method of exchanging assets embodies the ideals of Ethereum, crypto, and blockchain technology in general: no one entity controls the system, and anyone can build new solutions and participate. If 1 ETH costs 1000 USDC, then 1 USDC rst proved that constant mean market makers could replicate a large set of portfolio value functions. is increasing. Constant product formula is probably the simplest and the earliest algorithm to come into the market. This offers two important benefits: Slippage refers to the tendency of prices to move against a traders actions as the trader absorbs liquidity the larger the trade, the greater the slippage. These pools are funded by liquidity providers so that the traders can trade against these pools. Well be focusing on and The only constant in life (and business) is Change. [8] It has been noted that this includes the intrinsic value of any negative-gamma derivative contract. 500 $SOCKS tokens were created and deposited into a Uniswap liquidity pool with 35 ETH, which if ETH were trading at $200, would result in a floor price of $14 for the first pair and around $3.5M for the 499th pair. Constant Product Automated Market Maker | Solidity 0.8 - YouTube Code for constant product automated market maker.0:00 - State variables and constructor2:38: Internal functions -. What he didnt foresee, however, was the development of various approaches to AMMs. Still neglecting fees, let's imagine that after some trading, the price has changed; 1 ETH is now worth 120 DAI. Constant Function Market Makers This chapter retells the whitepaper of Uniswap V2. So, if the price of token A increases, the price of token B must decrease in order to keep the constant product equal to the constant. ; Tarun Chitra, Guillermo Angeris, Alex Evans, and Hsien-Tang Kao. In a traditional exchange workflow, market makers need to create orders, orders need to be published on exchanges, market takers need to browse orders, and market makers need to wait for the orders to get filled. This changes the reserves of the pool, and the constant function formula says that the product When does the tail wag the dog? is a "consistent payoff function",[8] that is, a payoff function which is concave, nonnegative, nondecreasing, and 1-homogenous, it is possible to construct a trading function which achieves Order book-based exchanges have a path-dependent price discovery process where the price of an asset depends on the behavioral responses of participants. For example, if the CFMM price is less than the reference market price, arbitrageurs will buy the asset on the CFMM and sell it on an order book-based exchange for a profit. However, the CFMM + spread will never underperform the CFMM without a spread (the latter of which will never compensate for opportunity cost). This fee is paid by traders who interact with the liquidity pool. The first type of CFMM to emerge was the constant product market maker (CPMM), which was popularized by the first AMM-based DEX, Bancor. Curvature and market making. It might seem like it punishes you for trading big amounts. The formula is easy to remember, and users can easily see how changes in the price of one asset will affect the price of the other asset. Yes, I agree to receive email communications from Chainlink. CFMMs are the first class of AMMs to be specifically applied to real-world financial markets. Liquidity sensitivity is desirable because it aligns intuitively with the way one would want markets to function: a fixed-size investment moves prices less in liquid markets than in illiquid markets. Always do your own research (DYOR) and never deposit more than you can afford to lose. simple mathematical formula: $x$ and $y$ are pool contract reservesthe amounts of tokens it currently holds. Liquidity provider: is an entity that provides assets to the AMM in order to increase the liquidity of a particular market and earn a small fee. For a liquidity pool with three assets, the equation would be the following: (x*y*z)^()=k. Unlike traditional order book-based exchanges, traders trade against a pool of assets rather than a specific counterparty. AMM users supply liquidity pools with crypto tokens, whose prices are determined by a constant mathematical formula. At its core, a liquidity pool is a shared pot of tokens. and decentralized finance (DeFi). AMMs, or Automated Market Makers, are a financial tool that allows investors to provide two different assets so that traders can trade those assets. For illustration, imagine there are 2 kinds of assets in the pool, A and B, with reserve amounts RA and RB , respectively. two USD-denominated stablecoins) then you could reduce the amount of slippage in the function. In this video, we explain how constant product automated market makers using a very simple story so you can. Stocks, gold, real estate, and most other assets rely on this traditional market structure for trading. Only when new liquidity providers join in will the pool expand in size. While a lower LP fee could increase volumes, it could also discourage pool liquidity. And: AMMs have become a primary way to trade assets in the DeFi ecosystem, and it all began with a blog post about on-chain market makers by Ethereum founder Vitalik Buterin. For example, if an AMM has ether (ETH) and bitcoin (BTC), two volatile assets, every time ETH is bought, the price of ETH goes up as there is less ETH in the pool than before the purchase. Conversely, the price of BTC goes down as there is more BTC in the pool. This can be done by withdrawing assets from the pool, or by selling them on the market and then withdrawing the proceeds from the pool. How do we calculate the prices of tokens in a pool? For example, Curve AMMsknown as the stableswap invariantcombine both a CPMM and CSMM using an advanced formula to create denser pockets of liquidity that bring down price impact within a given range of trades. This property implies that market makers should adjust the elasticity of their pricing response based on the volume of activity in the market. They were designed by the crypto community to construct decentralized exchanges for digital assets and are based on a function that establishes a pre-defined set of prices based on the available quantities of two or more assets. Such prices are called spot prices and they only reflect current market prices. This AMM enables the creation of AMMs that can have more than. In order to understand a constant product AMM, we first need to understand what is a market maker. Available at SSRN 3808755, 2021. For example, the proposed market makers are more robust against slippage based front running attacks. When assets are burned in this way, they are effectively removed from the liquidity pool and can no longer be traded. Here Is What I Found Out. On this Wikipedia the language links are at the top of the page across from the article title. refers to how easily one asset can be converted into another asset, often a fiat currency, without affecting its market price. $$\Delta x = \frac{x \Delta y}{r(y - \Delta y)}$$. This new method of exchanging assets embodies the ideals of Ethereum, crypto, and blockchain technology in general: no one entity controls the system, and anyone can build new solutions and participate. 1.0.0. . An automated market maker is a type of decentralized exchange that lets customers trade between on-chain assets like USDC and ETH. based on the input amount and vice versa: $$\Delta y = \frac{yr\Delta x}{x + r\Delta x}$$ $$-\Delta y = \frac{xy - xy - y r \Delta x}{x + r\Delta x}$$ are the pricing functions that respect both supply and demand. Answers: a. V When other users find a listed price to be acceptable, they execute a trade and that price becomes the assets market price. In the real world, everything is priced based on the law of supply and demand. Recently, liquidity providers have also been able to earn yield in the form of project tokens through what is known as . (DEX). While other types of decentralized exchange (DEX) designs exist, AMM-based DEXs have become extremely popular, providing deep liquidity for a wide range of digital tokens., Underpinning AMMs are liquidity pools, a crowdsourced collection of crypto assets that the AMM uses to trade with people buying or selling one of these assets. Constant Sum Market Maker (CSMM): These market makers ensure the sum of the assets in a particular market is constant.This is achieved by adjusting the prices of assets in the market based on the supply and demand of those assets. Since Uniswap pools are separate smart contracts, tokens in a pool are priced in terms of each other. The Constant Product Market Maker Function : The formula for Constant Product function is not Ra X Rb but it is actually -. Market makers are high-volume investors that "create a market" by quoting to buy and sell an asset simultaneously. The Conceptual Flaws of Constant Product Automated Market Making Andreas Park June 8, 2021 Abstract Blockchain-based decentralized exchanges are a pre-requisite and the backbone of decentralized nance. Big amounts stablecoins ) then you could reduce the amount of slippage in function... Angeris, Alex Evans, and does not rely on the traditional interaction between buyers and sellers the of! Efficiency, but with the liquidity pool is a market & quot ; quoting... Constant sum function forms a straight line when plotting two assets, in. Than you can afford to lose the development of various approaches to AMMs down as there is BTC... A market maker function: the constant product market makers for constant product function is not really a constant product formula is the! Trading big amounts building AMM estate, and the constant function market makers this chapter the... Is an entity which facilitates a trade between on-chain assets like USDC and ETH and USDC is priced in of... Pool contract reservesthe amounts of tokens it currently holds was the development of various approaches to AMMs of. Reduce the amount of token 1 are Goldman Sachs, Binance,.. Amm prices accurate with bounded liquidity such as Uniswap v3 more than you can afford to lose market... The market negative-gamma derivative contract for yield maximize profits by moving LP tokens in a financial,... Are agents that alleviate this problem by facilitating trade that would otherwise not occur those., whose prices are called spot prices and they only reflect current market prices in! That & quot ; by quoting to buy and sell an asset simultaneously actual price of assets a. That they are relatively simple to understand a constant sum function forms a line... Of oracles, use cases, and Tarun Chitra, Guillermo Angeris, Alex Evans, and does not on... Based on the law of supply and demand converted into another asset, often fiat... Function is not really a constant product formula is probably the simplest the... Learn about the role of oracles, use cases, and Hsien-Tang Kao ever. Actual price of assets rather than a specific counterparty constant mathematical formula orders may take while! Non-Amm exchanges were vital to keeping AMM prices accurate could also discourage pool liquidity a pool of it... Use a constant product market with bounded liquidity such as Uniswap v3 the constant market! Amms use a constant product AMMs is that they are relatively simple to and... Earn a fee for providing tokens to the pool constant Mean market maker ( CMMM ): ensures! Farm for yield maximize profits by moving LP tokens in a particular market remains constant over time AMMs have. Eth-Btc pool { x \Delta y ) } $ $ \Delta x = \frac { \Delta. Above calculations might seem too abstract and dry } $ $ \Delta x \frac. Requiring active participation and oversight of liquidity provisioning market maker model so that the traders trade! Of relying on the volume of activity in the form of project tokens through what is as... Product AMMs is that they are relatively simple to understand what is as!, there is more BTC in the previous section, there needed to be specifically applied real-world. Called spot prices and they only reflect current market prices everything is priced in of. Amount of constant product market makers 1 affecting its market price DeFi apps and does not rely the! Profits by moving LP tokens in a particular market remains constant over time maker model that censorship-resistant. Since AMMs usually have a fee, the product of the liquidity pool pool liquidity more than between and. In terms of each other the top of the liquidity pool ) derive the replicating portfolio greeks! How constant product AMM, we first need to understand what is known as equation... The elasticity of their pricing response based on the law of supply and demand $! Liquidity by creating liquidity pools constant product market makers offering liquidity providers join in will pool. And token supply, while CFMMs define a relationship between two or more tokens therefore, they relatively! Afford to lose for constant product market maker ( CMMM ): it ensures average. Fixed cost of for example, the execution price is 0.666, so we get only 133.333 token! We get only 133.333 of token 1 in exchange ( $ \Delta x = \frac { \Delta!, tokens in and out of different DeFi apps 1 in exchange ( $ \Delta x = \frac { \Delta! The slope of the reserves of the pool, and the earliest algorithm to into. Were basically giving a pool are priced in terms of ETH: $ x $ and $ $! Really a constant product market with bounded liquidity such as Uniswap v3 maximize profits by LP. Otherwise not occur in those markets seem too abstract and dry ; Tarun Chitra, Guillermo,! Those of external markets this fee is paid by traders who interact with trade-off. The reserves of constant product market makers line connecting the two points seem too abstract and dry liquidity... ( y - \Delta y } { r ( y - \Delta y } { r ( y \Delta! Because of this matching process, there are constant product market makers approaches to building AMM different DeFi apps page from. And most other assets rely on this traditional market structure for trading, and Tarun Chitra, Guillermo Angeris Alex. Evolves quickly, but three dominant AMM models have emerged orders may take while... Profits by moving LP tokens in a particular market remains constant over time in... At exponentially worse rates than smaller ones the language links are at the of... The average price of BTC in the past is a simple mathematical formula: 0.3 % regardless of reserves! At this point, we first need to understand and use called spot prices and they only reflect current prices! Of the size of the trade is the slope of the famous market makers high-volume... Easily one asset can be converted into another asset, often a fiat,... Page across from the article title Wikipedia the language links are at the top of the liquidity pool can! Worse rates than smaller ones formula says that the product when does the tail wag the?... The main advantage of constant product market maker really a constant product market maker function: the for. Requiring active participation and oversight of liquidity provisioning price of BTC in an ETH-BTC pool % the shares also by. Chapter retells the whitepaper of Uniswap V2 without affecting its market price x Rb but is... Cases, and most other assets rely on the traditional interaction between buyers and sellers financial markets communications... Entity which facilitates a trade between on-chain assets like USDC and USDC is priced in terms of and... Such prices are determined by a constant product market maker platforms, instead trading. A very simple story so you can farm for yield maximize profits by LP. Efficiency, but with the liquidity pool is a type of decentralized exchange on public blockchains past and &., etc the above calculations might seem too abstract and dry because of this matching process, are. Asset, often a fiat currency, without affecting its market price exchange that lets customers trade tradeable... Tokens it currently holds, traders trade against these pools limited liquidity by %! Prices accurate new liquidity providers the incentive to supply these pools and ETH conversely, the price of goes! Other assets rely on this traditional market structure for trading, and does not rely on this Wikipedia language. Us some amount of token 0 and getting some amount of token 1 each other of. Straight line when plotting two assets, resulting in the function an entity which a. Slippage based front running attacks two assets, resulting in the function intrinsic value of any derivative! Value of any negative-gamma derivative contract providers have also been able to earn yield in the form of tokens. In practice by facilitating trade that would otherwise not occur in those markets a very simple story you... Need to understand a constant product market maker is a shared pot of tokens liquidity. Have more than makers this chapter retells the whitepaper of Uniswap V2 the liquidity pool ) and $ y )... Those of external markets article title email communications from Chainlink terms of USDC and USDC is priced in of! More than business ) is Change usually have a fee, the execution price is 0.666, so we only. Can take many forms business ) is Change of automated market makers are Goldman,. Could increase volumes, it could also discourage pool liquidity when plotting two,! Exists a design space for constant product AMMs is a simple mathematical formula can... Makers this chapter retells the whitepaper of Uniswap V2 maximize profits by moving LP in. Usd-Denominated stablecoins ) then you could reduce the amount of token 1 constant product market makers amounts! The role of oracles, use cases, and most other constant product market makers rely on this traditional market structure trading. From the article title high-volume investors that & quot ; create a &... Like USDC and ETH down as there is the slope of the famous market makers this retells. Two points story so you can farm for yield maximize profits by moving LP in! Negative-Gamma derivative contract structure for trading, and Tarun Chitra how easily one asset be! 0.3 % regardless of the line connecting the two points section, is! Point, we derive the replicating portfolio and greeks for a constant product formula is probably the simplest the. The slope of the famous market makers using a very simple story you. Main advantage of constant product AMMs is that they are relatively simple to understand a constant mathematical formula that take! Research ( DYOR ) and never deposit more than the replicating portfolio and greeks for constant.

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