> For the complete documentation index, see [llms.txt](https://docs.elemental.fund/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.elemental.fund/strategies/provisioning-in-liquidity-pools.md). # Provisioning in Liquidity Pools ### Overview Liquidity pools form the bedrock of decentralized finance (“DeFi”). They are the mechanism that allows users to swap freely between tokens without relying on traditional order books or centralized intermediaries. In these pools, users known as liquidity providers (“LPs”) deposit pairs of assets into automated market makers (“AMMs”). Each time a swap occurs, a small fee is charged and distributed proportionally to LPs, creating a sustainable and organic source of yield within DeFi. ### The Evolution of Liquidity Provision When AMMs were first introduced, liquidity was deployed uniformly across the full price spectrum. This design was groundbreaking for its time, but highly capital-inefficient, as most liquidity sat unused in price ranges far away from where actual trading occurred. Newer innovations, such as concentrated liquidity, transformed this model. Providers can now allocate their capital within narrower, active price ranges, allowing for greater capital efficiency and higher yield potential. By focusing liquidity where trading happens most frequently, each dollar of capital deployed can generate significantly more in fees. ### Elemental’s Liquidity Pool Strategies At Elemental, we research and build infrastructure for liquidity provision strategies across different market conditions, asset types, and risk profiles. Our goal is not simply to place liquidity into pools and wait. The edge comes from understanding where liquidity should be deployed, how tightly it should be concentrated, when it should be rebalanced, and how the underlying assets are expected to move over time. This is especially important because different pools behave differently. A stablecoin pair, a liquid staking token pair, and an RWA pair may all look similar on the surface, but the mechanics behind their price movement, yield accrual, and liquidity behavior can be very different. ### Highly Concentrated Stable Pools In pools where both assets maintain a tight price relationship, such as stablecoin pairs, liquidity can often be deployed within very narrow price bands. This allows the vault to capture consistent trading fees while minimizing unnecessary exposure to wider price movements. However, precision matters. A narrow range can improve capital efficiency, but it also requires careful monitoring. If the price moves outside the active range, the position stops earning fees until it is rebalanced or the price returns. Elemental’s infrastructure is designed to support this process through active range monitoring, execution optimization, and disciplined rebalancing. ### Drift Strategies With Yield-Bearing Tokens For pools that include yield-bearing assets, liquidity provision becomes more nuanced. These may include liquid staking tokens, yield-bearing stablecoins, or real-world asset (“RWA”) tokens. While each asset type has different mechanics, they share one important feature: their fair value may drift over time. This drift can happen because of staking rewards, embedded yield, income distribution, changes in redemption value, or the performance of the underlying asset. As a result, the optimal liquidity range may not always be centered around the current market price. Instead, the range should reflect where the asset pair is expected to move. For example, if one asset is expected to gradually appreciate relative to the other because it is accruing yield, the liquidity range may need to be positioned slightly ahead of the current price. This allows the vault to keep liquidity active for longer, capture more trading fees, and reduce unnecessary rebalancing. RWA tokens add another layer of complexity because their price behavior may also be influenced by off-chain business performance, redemption mechanics, liquidity depth, market confidence, and the yield profile of the underlying real-world assets. This means RWA liquidity provision cannot rely only on surface-level price stability. It requires a deeper understanding of the asset itself, the mechanics behind its value, and the potential scenarios that could cause the pool to become imbalanced. Elemental’s approach is to study these dynamics before deciding how ranges should be setup. This includes assessing expected price behavior, liquidity conditions, and pool depth, among other things. When executed well, drift-based liquidity provision can combine multiple yield sources, including swap fees, token emissions, embedded asset yield, and potential market-making gains. ### Deep Understanding At Elemental, our advantage lies not in generic automation, but in a deep understanding of the assets that make up each liquidity pool. Every token behaves differently. Two yield-bearing assets may accrue value in completely different ways. One may increase gradually over time, while another may deliver most of its yield through periodic adjustments. An RWA token may trade within a tight range for long periods, then move sharply if market sentiment or underlying business conditions change. These details matter. By understanding how each asset accrues value, how its price is likely to drift, and how liquidity tends to behave around it, Elemental can design more precise deployment and rebalancing logic. This allows our infrastructure to support liquidity strategies that are more targeted, more capital-efficient, and more responsive to market conditions. ### Execution Is the Edge Many participants can provide liquidity. Fewer can do it with precision. The real challenge is not knowing that a pool exists. It is knowing where to place liquidity, how concentrated the position should be, how often it should be adjusted, and whether the yield adequately compensates for the risk. Elemental’s proprietary systems are built to support this execution layer. Through forecasting, monitoring, and optimized rebalancing, our infrastructure aims to keep liquidity active in the most relevant ranges while avoiding unnecessary churn and execution costs. This is where the strategy becomes more than passive LPing. 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