Mastering Concentrated Liquidity A Step-by-Step AMM Guide
Introduction
Automated Market Makers (AMMs) have reshaped the way capital flows through decentralized finance. The classic constant‑product model, used by early protocols, offers simplicity but can leave liquidity providers exposed to wide slippage and low fee income. In 2021, a new evolution arrived: concentrated liquidity. By allowing providers to focus their capital within specific price ranges, AMMs now deliver greater capital efficiency, higher yields, and a more dynamic market environment. This guide walks you through the mechanics of concentrated liquidity, explains why it matters, and gives you a concrete, step‑by‑step path to mastering it.
Why Concentrated Liquidity Matters
The fundamental idea behind concentrated liquidity is that liquidity providers (LPs) no longer have to spread their capital across the entire price spectrum. Instead, they can concentrate their funds in a narrow band where they expect the price to trade most often. This approach reduces capital waste and boosts fee rewards, especially for volatile pairs. It also introduces a new dimension of risk: if the market moves outside the chosen range, the LP’s position may become inactive. Understanding this trade‑off is the first step toward success.
AMM V3 – The Backbone of Concentrated Liquidity
Version 3 of many popular AMMs, such as Uniswap V3, introduces three core primitives:
- Customizable price ranges – LPs define a lower and upper price bound for their liquidity.
- Per‑tick fee tiers – Different pools can set varying fee percentages, allowing LPs to choose risk/reward.
- Single‑token deposits – LPs can add liquidity using only one side of the pair, simplifying capital allocation.
These changes turn the AMM into a more flexible instrument, but they also add complexity. The following sections break down each component and show how to deploy them in practice.
Step 1: Choosing the Right Token Pair
Start by selecting a pair that suits your strategy. Look for liquidity pools with:
- High trading volume – A busy pool means more fee income.
- Stable price correlation – Pairs with predictable price movements reduce the risk of being stranded outside your chosen range.
- Appropriate fee tier – Higher fee tiers (e.g., 0.5% or 1%) are ideal for volatile pairs; lower tiers (0.05% or 0.3%) work well for stable pairs.
Example: If you anticipate that ETH will trade between 1200 and 1600 USD, a pair like ETH/USDC with a 0.3% fee tier may be suitable.
Step 2: Understanding the Tick System
Concentrated liquidity is implemented through a tick‑based system. A tick represents a discrete price point; the pool is divided into a series of ticks spaced by a predetermined increment. Your chosen price range is expressed as two tick indices: lowerTick and upperTick.
Key concepts
- Tick spacing – The granularity of price intervals. Common spacings are 1, 10, or 60 ticks.
- Price at tick – Each tick maps to a precise price calculated using the pool’s formulas.
- Active liquidity – Liquidity is only active between lowerTick and upperTick.
When you set your range, you are essentially telling the AMM to allocate your capital only within that price window. All calculations are performed automatically by the protocol, but it is important to understand how tick indices translate into real‑world prices.
Step 3: Calculating Your Ideal Range
Before you lock in a range, simulate how the pool will behave across price movements. Use a spreadsheet or a dedicated AMM simulator to test different lower and upper ticks. Consider:
- Expected volatility – Wider ranges protect against sudden swings but dilute fees.
- Fee reward expectation – Narrower ranges increase fee accrual per unit of capital but risk inactivity.
- Impermanent loss tolerance – Evaluate the potential loss if the price moves significantly outside your range.
A common strategy is to set the range around the current price, extending one standard deviation up and down. This balances exposure and reward.

Step 4: Depositing Liquidity
Once you have chosen your range, you need to add liquidity. The process generally follows these steps:
- Approve the token – Give the AMM contract permission to transfer your tokens.
- Specify parameters – Submit a transaction that includes:
- The token pair.
- The amount of the base token (e.g., ETH).
- The amount of the quote token (e.g., USDC).
- lowerTick and upperTick indices.
- The fee tier.
- Confirm the transaction – Sign and broadcast it to the network.
The AMM will automatically adjust the pool’s state, adding your liquidity only within the specified ticks. You will receive a unique position ID that represents your share.
Step 5: Managing Your Position
After deployment, your position can be monitored and adjusted. Most AMM interfaces provide dashboards that display:
- Current price relative to your range.
- Liquidity active – How much of your capital is currently earning fees.
- Unrealized fees – Fees accumulated but not yet claimed.
- Impermanent loss – A theoretical loss calculation based on current pool composition.
Key management actions
- Rebalancing – Move your range if the price drifts far from your center.
- Adding liquidity – Inject more capital into the same range or adjacent ranges.
- Removing liquidity – Withdraw partially or fully, depending on performance.
Step 6: Claiming Fees and Reinvesting
Fees are credited to your position automatically. You can claim them in two ways:
- Manual claim – Use the interface to pull the accrued fees into your wallet.
- Automatic reinvestment – Some platforms allow auto‑compounding, where claimed fees are automatically redeployed into the same range.
Reinvesting fees increases your overall capital and can lead to compound growth over time. However, it also means that your position stays concentrated, so careful monitoring is essential.
Step 7: Withdrawing Liquidity
When you decide to exit, the withdrawal process mirrors the deposit:
- Request removal – Indicate how much of your position you wish to liquidate.
- Confirm transaction – Sign the removal request.
- Receive assets – The AMM returns the base and quote tokens proportionate to your share.
If your price range is currently inactive (price outside the bounds), the withdrawal will return the initial capital without accrued fees. Plan withdrawals accordingly to maximize returns.
Step 8: Advanced Risk Mitigation
While concentrated liquidity can amplify gains, it also introduces new risks. Here are some advanced techniques to manage them:
- Dynamic range adjustment – Regularly shift your range to stay centered around the prevailing price.
- Multi‑tick layering – Deploy liquidity across multiple overlapping ranges to spread risk.
- Short‑term exposure – Use impermanent loss insurance or hedging strategies if you expect short‑term volatility spikes.
- Diversification across pools – Spread capital across several token pairs and fee tiers.
Step 9: Leveraging External Tools
Several tools can help you navigate concentrated liquidity:
- Analytics dashboards – Provide real‑time data on pool liquidity, fee rates, and performance.
- Simulation platforms – Allow you to test various ranges and see projected outcomes.
- Automated strategy bots – Some bots can monitor market movements and adjust ranges on your behalf.
When selecting tools, verify their security posture and community reputation. Decentralized protocols often provide open‑source libraries for interaction.
Step 10: Best Practices Checklist
| Practice | Reason |
|---|---|
| Start with a modest position | Learn the dynamics before committing large amounts |
| Use a testnet first | Avoid costly mistakes on mainnet |
| Monitor gas fees | High transaction costs can erode profits |
| Keep an eye on protocol updates | Features like new fee tiers or parameter changes can affect strategy |
| Rebalance often | Prevent your position from becoming inactive |
By adhering to these practices, you minimize risk and improve the likelihood of a profitable experience.
Conclusion
Concentrated liquidity transforms the AMM landscape from a static liquidity pool into a dynamic, customizable engine. By focusing capital in selected price ranges, LPs can achieve higher yields and greater capital efficiency. However, this power comes with added responsibility: you must understand ticks, ranges, and the implications of price movement.
The steps outlined above provide a roadmap for deploying, managing, and optimizing concentrated liquidity positions. Whether you are a beginner exploring the concept or a seasoned trader seeking advanced strategies, mastering these mechanics equips you to thrive in the evolving world of automated market makers.
JoshCryptoNomad
CryptoNomad is a pseudonymous researcher traveling across blockchains and protocols. He uncovers the stories behind DeFi innovation, exploring cross-chain ecosystems, emerging DAOs, and the philosophical side of decentralized finance.
Random Posts
Protecting DeFi: Smart Contract Security and Tail Risk Insurance
DeFi's promise of open finance is shadowed by hidden bugs and oracle attacks. Protecting assets demands smart contract security plus tail, risk insurance, creating a resilient, safeguarded ecosystem.
8 months ago
Gas Efficiency and Loop Safety: A Comprehensive Tutorial
Learn how tiny gas costs turn smart contracts into gold or disaster. Master loop optimization and safety to keep every byte and your funds protected.
1 month ago
From Basics to Advanced: DeFi Library and Rollup Comparison
Explore how a DeFi library turns complex protocols into modular tools while rollups scale them, from basic building blocks to advanced solutions, your guide to mastering decentralized finance.
1 month ago
On-Chain Sentiment as a Predictor of DeFi Asset Volatility
Discover how on chain sentiment signals can predict DeFi asset volatility, turning blockchain data into early warnings before price swings.
4 months ago
From On-Chain Data to Liquidation Forecasts DeFi Financial Mathematics and Modeling
Discover how to mine onchain data, clean it, and build liquidation forecasts that spot risk before it hits.
4 months ago
Latest Posts
Foundations Of DeFi Core Primitives And Governance Models
Smart contracts are DeFi’s nervous system: deterministic, immutable, transparent. Governance models let protocols evolve autonomously without central authority.
1 day ago
Deep Dive Into L2 Scaling For DeFi And The Cost Of ZK Rollup Proof Generation
Learn how Layer-2, especially ZK rollups, boosts DeFi with faster, cheaper transactions and uncovering the real cost of generating zk proofs.
1 day ago
Modeling Interest Rates in Decentralized Finance
Discover how DeFi protocols set dynamic interest rates using supply-demand curves, optimize yields, and shield against liquidations, essential insights for developers and liquidity providers.
1 day ago