constant product market makers

arXiv preprint arXiv:2103.01193, 2021. Unlike . The second type is a constant sum market maker (CSMM), which is ideal for zero-price-impact trades but does not provide infinite liquidity. 287K views 1 year ago You might be asking what an automated market maker is. Recently, liquidity providers have also been able to earn yield in the form of project tokens through what is known as yield farming.. Such a simple formula guarantees such a powerful mechanism! The name 'constant product market' comes from the fact that, when the fee is zero (i.e., = 1), any trade to must change the reserves in such a way that the product RR remains equal to the constant k. By incorporating multiple dynamic variables into its algorithm, it can create a more robust market maker that adapts to changing market conditions. Before AMMs came into play, liquidity was a challenge for decentralized exchanges (DEXs) on Ethereum. 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. When we buy token 1 for token 0, we give some amount of token 0 to the pool ($\Delta x$). [5] First be seen in production on a Minecraft server in 2012,[6] CFMMs are a popular DEX architecture. And we dont even need to calculate the prices! Broadly speaking, market makers (MM) provide liquidity to the exchange they operate in, and they set "buy" and "sell" quotes for each asset. The constant product market maker protocol is a form of the much known automated market maker (AMM) model. A trader could then swap 500k dollars worth of their own USDC for ETH, which would raise the price of ETH on the AMM. Oops! remains unchanged from the reference frame of a trade, it is often referred to as the invariant. The paper introduces a new type of constant function market maker, the constant power root market marker. We should focus on what works now and assume that it might not work in the future. 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. Such prices are called spot prices and they only reflect current market prices. The pool gives us some amount of token 1 in exchange ($\Delta y$). Instead, there needed to be many ways to trade tokens, since non-AMM exchanges were vital to keeping AMM prices accurate. Conversely, the price of BTC goes down as there is more BTC in the pool. On a traditional exchange platform, buyers and sellers offer up different prices for an asset. [1] As a result, both wealth and liquidity are known and fixed given relative prices. 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. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply. 0.3% regardless of the size of the liquidity pool). Another approach could be to have decreased LP fees at the markets initiation to encourage trading volume and increase the fees as the market matures. Proposition: For \(x>x^*\), constant product provides "higher" risk compensation than what market competition would yield, for \(x<x^*\) it is the reverse. Automated market makers (AMMs) are decentralized exchanges that use algorithmic money robots to provide liquidity for traders buying and selling crypto assets. Copyright 2023 Gemini Trust Company, LLC. 2021. Delta neutral market makers also have a difficult task at hand if they have to find a way to hedge assets off their books since it is often not possible if a natural buyer or seller does not exist. $$r\Delta x = \frac{x \Delta y}{y - \Delta y}$$ The reserve of token 0 changes ($x + r \Delta x$), and the reserve of token 1 changes as well ($y - \Delta y$). In practice, what would happen is that any arbitrageur would always drain one of the reserves if the reference relative price of the reserve tokens is not one. Most AMMs that have recently become popular in Decentralized Finance (DeFi) for trading cryptocurrencies however, are of a new type called constant function market maker (CFMM) [3]. Notice that each of these formulas is a relation of reserves ($x/y$ or $y/x$) Start building your universally connected smart contracts, Chainlinks most active and supportive technical community members, Decentralized and high-quality data feeds for DeFi, sports, weather, and more, Serverless developer platform that can fetch data from any API and run custom compute, Reliable, high-performance, decentralized automation for smart contracts, Verifiable, tamper-proof random number generator for blockchain gaming and NFT projects, Autonomous, reliable, and timely verification of on-chain and off-chain reserves, Global, open-source standard for building secure cross-chain applications, Decentralized services powering hybrid smart contract use cases across a wide-variety of industries, Provide oracle computation directly to smart contracts and earn revenue by running critical data infrastructure, Leverage the Chainlink Network to make your data accessible on-chain directly through your own Chainlink nodes, Gain access to resources and events for Chainlinks global community, Funding and supporting the creation of new smart contract applications built by the community, Upcoming Chainlink virtual and in-person events, hackathons, meetups, and more, Discover the latest product news, deep dives, developer tutorials, and more, Stake your LINK to help secure the Chainlink Network and earn rewards. $$\Delta y = \frac{y r \Delta x}{x + r\Delta x}$$ CFMMs are the first class of AMMs to be specifically applied to real-world financial markets. (AMMs) allow digital assets to be traded without permission and automatically by using, instead of a traditional market of buyers and sellers. The paper also looks at the impact of introducing concentrated liquidity in an AMM. collateralized options) and security tokens (e.g. This can be done by depositing assets into a liquidity pool, which is then used to facilitate trading in the market. Since the technology is still pretty new, am looking forward to seeing advancement in the technology and in the entire DeFi ecosystem. {\displaystyle V} Uniswap popularized the mathematical formula: 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 ? Only when new liquidity providers join in will the pool expand in size. 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. Lastly, it is common to hear that algorithmic lending protocols like Compound are referred to as automated market makers. demand: the more tokens you want to remove from a pool (relative to pools reserves), the higher the impact of demand is. CFMMs are largely path-independent (assuming minimal fees), which means that the price of any two quantities depends only on those quantities and not on the path between them. Because of this matching process, there is the possibility that some orders may take a while to get filled, if ever. 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. Available at SSRN 3808755, 2021. value doesnt matter. One simple example of a trading function is the product [Lu17,But17], implemented by Uniswap [ZCP18] and SushiSwap [Sus20]; this CFMM accepts a trade only . These AMMs set the prices of assets on a DEX. Please check your inbox to confirm your subscription. It uses the following functions: Where U(x) could be interpreted as a utility function comprised of a gain function, G(x), and a loss function, F(x); and x is the reserves of each asset. By trading synthetic assets rather than the underlying asset, users can gain exposure to the price movements of a wide variety of crypto assets in a highly efficient manner. of Uniswap V3 is different. AMMs democratized cryptocurrency trading by doing away with order books and institutional market makers. Automated market makers (AMMs) are part of the decentralized finance (DeFi) ecosystem. Constant Product AMMs are simple to implement and understand. This property implies that market makers should adjust the elasticity of their pricing response based on the volume of activity in the market. It can be called a hybrid AMM since it uses elements from both the constant product and constant sum market makers. A Constant Function Market Maker is a class of AMMs where the reserves of the assets in the pool can only change in a way that satisfies a certain mathematical relationship. When other users find a listed price to be acceptable, they execute a trade and that price becomes the assets market price. For example: in The formula for this model is X * Y = K. 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. This changes the reserves of the pool, and the constant function formula says that the product xy = k. means that the price is determined based on the constant factor k. So in the next part, well see how the mathematics The pool stays in constant balance, where the total value of ETH in the pool will always equal the total value of BTC in the pool. This has made these rules popular in prediction markets (fixed cost of . For example, the proposed market makers are more robust against slippage based front running attacks. The third type is a constant mean market maker (CMMM), which enables the creation of AMMs that can have more than two tokens and be weighted outside of the standard 50/50 distribution. The change in $y$ is the amount of token 1 well get. The proposed cost functions are computationally efficient (only requires multiplication and square root calculation) and have certain advantages over widely deployed constant product cost functions. When does the tail wag the dog? Liquidity pools can be optimized for different purposes, and are proving to be an important instrument in the DeFi ecosystem. Constant product automated market makers (CPMM): These market makers use a fixed product formula to ensure that the value of a particular market remains constant. As the legend goes, Uniswap was invented in Desmos. You just issued a new stablecoin, X, that is pegged to 1 USDT . Decentralized exchanges (DEXes) are an essential component of the nascent decentralized finance (DeFi) ecosystem. If the market maker makes three transactions, what is his total profit? Automated market makers (AMMs) are algorithmic agents that perform those functions and, as a result, provide liquidity in electronic markets. Since Bancor introduced on-chain AMMs in 2017, there have been several notable improvements on different aspects of AMMs: . 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. The result is a hyperbola (blue line) that returns a linear exchange rate for large parts of the price curve and exponential prices when exchange rates near the outer bounds. Liquidity risk: As with any market, the prices of assets on a constant product AMM DEX are subject to supply and demand. the incentive to supply these pools with assets. Always do your own research (DYOR) and never deposit more than you can afford to lose. 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. $18 d. $15 With the Constant Product Market Maker (CPMM) capability, pairs act as automated market makers, ready to accept one token for the other as long as the constant product formula is preserved. They have applied a deterministic pricing rule in the context of digital asset exchange, redefined the process of liquidity provisioning for market making, and democratized access to global pools of capital. The information provided on the Site is for informational purposes only, and it does not constitute an endorsement of any of the products and services discussed or investment, financial, or trading advice. The exact mechanics vary from exchange to exchange, but generally, AMMs offer deep liquidity, low transaction fees, and 100% uptime for as many users as possible. Path dependence, in a nutshell, means that history matters. One of the most popular models adopted by automated market maker platforms is the constant product market maker (CPMM) model. are the pricing functions that respect both supply and demand. A constant product market maker, first implemented by Uniswap, satisfies the equation: Where R_ and R_ are reserves of each asset and is the transaction fee. This formula has the desirable property that larger trades (relative to reserves) execute at exponentially worse rates than smaller ones. (when we want to sell a known amount of tokens) and we can always find the input amount using the $\Delta x$ formula (when ingly e ective market maker appears to be the constant product market maker used by Uniswap [7], likely the rst and possibly the most popular implementation. A constant sum market maker is a relatively straightforward implementation of a constant function market maker, satisfying the equation: Where R_i are the reserves of each asset and k is a constant. Here Is What I Found Out. Heres how you can derive the above formulas from the trade function: CSMMs follow the formula x+y=k, which creates a straight line when plotted. This also holds true for AMMs. The DeFi ecosystem evolves quickly, but three dominant AMM models have emerged: Uniswap, Curve, and Balancer. Constant function market makers are a fundamental innovation for financial markets and have introduced an exciting new area for academic research around automated market making. real estate). A CFMM is described by a continuous trading function (also known as the invariant, AMM invariant, or CFMM invariant). 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. In effect, the function looks like a zoomed-in hyperbola. The pool also takes a small fee ($r = 1 - \text{swap fee}$) from the amount of token 0 we gave. Since AMMs dont automatically adjust their exchange rates, they require an arbitrageur to buy the underpriced assets or sell the overpriced assets until the prices offered by the AMM match the market-wide price of external markets. Stocks, gold, real estate, and most other assets rely on this traditional market structure for trading. how it works. Liquidity Pool:a liquidity pool is a collection of assets that is used to facilitate trading in an AMM.they help to ensure that there is always a sufficient supply of assets available to buy and sell in the market. Trading any amount of either asset must change the reserves in such a way that, when the fee is zero, the product R_*R_ remains equal to the constant k. This is often simplified in the form of x*y=k, where x and y are the reserves of each asset. On a. , buyers and sellers offer up different prices for an asset. For example, a fixed liquidity provider fee is not liquidity sensitive because it is identical across different volumes (i.e. This fee is paid by traders who interact with the liquidity pool. This was pioneered by Unisocks, which created tokens that entitled holders to a physical pair of limited edition socks. of a CFMM as a function of the market prices of the assets in its inventory, is the worst-case market value of its inventory, which under assumptions of perfect competition is equal to the infimum of the dot product of inventory amounts with prices, over all inventory amounts such that the CFMM quotes at market price. Curve and Shell have demonstrated that there exists a design space for constant functions that are tailored for specific types of digital assets. When expanded it provides a list of search options that will switch the search inputs to match the current selection. In Vitalik Buterins original post calling for automated or. Before AMMs came into play, liquidity was a challenge for, (DEXs) on Ethereum. This example is from the Desmos chart made by Dan Robinson, arxiv: 1911.03380 [q-fin.TR] Google Scholar; Jun Aoyagi and Yuki Ito. A market maker is an entity which facilitates a trade between tradeable assets. It occurs when the price ratio of the tokens they have deposited in a liquidity pool changes after they have deposited the tokens in the pool. Theres a pool with some amount of token 0 ($x$) and some amount of token 1 ($y$). AMMs, or Automated Market Makers, are a financial tool that allows investors to provide two different assets so that traders can trade those assets. Automated market makers (AMMs) are a type of decentralized exchange (DEX) that use algorithmic money robots to make it easy for individual traders to buy and sell crypto assets. This incentivises and rewards LPs proportionally to their ownership percentage of the pool. $21. StableSwap is a type of AMM invented by Curve Finance. Chainlink Price Feeds already underpin much of the DeFi economy and play a key role in helping AMMs accurately set asset prices and increase the liquidity available to traders. Every trade starts at the point on the curve that corresponds to the current ratio of Unlike traditional order book-based exchanges, traders trade against a pool of assets rather than a specific counterparty. An early description of a CFMM was published by economist Robin Hanson in "Logarithmic Market Scoring Rules for Modular Combinatorial Information Aggregation" (2002). An interesting area of research would be to analyze the profit-maximizing fee that balances trade incentivization with liquidity incentivization. The pool stays in constant balance, where the total value of ETH in the pool will always equal the total value of BTC in the pool. This mechanism ensures that Pact prices always trend toward the market price. 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. $$-\Delta y = \frac{xy}{x + r\Delta x} - y$$ We derive the replicating portfolio and greeks for a constant product market with bounded liquidity such as Uniswap v3. reserves. Instead of matching buyers and sellers in an orderbook, these liquidity pools act as an automated market maker. The more assets in a pool and the more liquidity the pool has, the easier trading becomes on decentralized exchanges. Curve specializes in creating liquidity pools of similar assets such as stablecoins, and as a result, offers some of the lowest rates and most efficient trades in the industry while solving the problem of limited liquidity. . Jun Aoyagi and Yuki Ito. Instead of relying on the traditional buyers and sellers in a financial market, AMMs keep the DeFi ecosystem liquid 24/7 via liquidity pools. (the token they want to buy). one of the creators of Uniswap. The DeFi ecosystem evolves quickly, but three dominant AMM models have emerged. ETH/BTC). This is how markets work. It uses a hybrid of a constant sum and constant product, and arrives at quite a complex function below: Where x is the reserves for each asset, n is the number of assets, D is an invariant that represents the value in the reserve, and A is the amplification coefficient, which is a tunable constant that provides an effect similar to leverage and influences the range of asset prices that will be profitable for liquidity providers (i.e. As the "virtual . This means its solution is predominantly designed for stablecoins. AMMs provide liquidity to the DEX by constantly buying and selling assets in order to keep prices stable. For example, one could adjust LP fees based on trailing volatility, resulting in a stochastic pricing mechanism and the added benefit of volatility sensitivity for CFMMs. and they also take the trade amount ($\Delta x$ in the former and $\Delta y$ in the latter) into consideration. This payoff structure suggests that liquidity providers should be actively monitoring changes in the liquidity pool and acting on changes quickly to prevent significant losses. V Adding liquidity to a CFMM is simple but comes with some complex financial risks (impermanent loss, short volatility, long volatility/volume correlation, etc.). Assuming zero fees for simplicity, the pool can . Constant Product Market Maker (CPMM) The first type of CFMM to emerge was the constant product market maker (CPMM), which was popularized by the first AMM-based DEX, Bancor. A market maker faces the following demand and supply for widgets. Alternatively, the founders often hack together a python script to offer liquidity with their own assets and simultaneously hedge their risk on other exchanges. Arbitrage trades have been shown to align the prices reported by CFMMs with those of external markets. The constant formula is a unique component of AMMs it determines how the different AMMs function. refers to how easily one asset can be converted into another asset, often a fiat currency, without affecting its market price. It doesnt matter how volatile the price gets, there will eventually be a return to a state of balance that reflects a relatively accurate market price. This loss occurs when the market-wide price of tokens inside an AMM diverges in any direction. Constant Price Market . Even though Uniswap doesnt calculate trade prices, we can still see them on the curve. {\displaystyle V} Since increase in liquidity is equal to increase in shares: Burning: This refers to the process of removing or destroyingan asset from circulation. Pact offers a familiar Constant Product Market Maker (CPMM) capability. 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. Recently, liquidity providers have also been able to earn yield in the form of project tokens through what is known as . Users supply liquidity pools with tokens and the price of the tokens in the pool is determined by a mathematical formula. Liquidity implications of constant product market makers. 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. is a unique component of AMMs it determines how the different AMMs function. Try different reserves, see how output amount changes when $\Delta x$ is small relative to $x$. Constant Function Market Makers This chapter retells the whitepaper of Uniswap V2. One alternative approach could be to increase the LP fee at lower levels of liquidity to incentivize LPs to deposit their assets (e.g. Excessive Trading? This function acts as a constant sum when the portfolio is balanced and shifts towards a constant product as the portfolio becomes more imbalanced. Visually, the prices of tokens in an AMM pool follow a curve determined by the formula. Meanwhile, market makers on order book exchanges can control exactly the price points at which they want to buy and sell tokens. They do this by using a process called "liquidity provision," in which they act as both the buyer and the seller of an asset. Something went wrong while submitting the form. a - Number of Tokens of A the trader has . The price of tokens in the AMM before adding the liquidity = X/Y. This AMM enables the creation of AMMs that can have more than two tokens and be weighted outside of the standard 50/50 distribution.

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