CEX vs DEX Market Making: Strategies, Costs & Risks Compared
CEX market making uses order books with retainers from $10K-$50K/month, while DEX market making relies on AMM liquidity pools with 5-30% APY yields. This guide compares both approaches with cost breakdowns, risk frameworks, and strategies for token projects in 2026.
CEX vs DEX market making represents one of the most consequential decisions a token project faces: whether to provide liquidity through traditional order books on centralized exchanges or through automated market maker (AMM) pools on decentralized exchanges. In 2026, CEX market making involves professional firms managing order books with retainers of $10,000-$50,000+ per month plus $200,000-$2,000,000 in token inventory, while DEX market making requires providing capital to smart contract liquidity pools with costs driven primarily by impermanent loss (2-10% on volatile pairs) rather than retainer fees. The landscape has shifted dramatically: DEXs now capture 15-20% of all crypto trading volume (up from negligible share in 2022), aggregate slippage costs reached $2.7 billion in 2024, and intent-based DEXs like UniswapX and CoW Swap are creating a hybrid model that combines CEX-style execution quality with DEX transparency. This guide provides a comprehensive comparison to help you choose and implement the right strategy.
For projects seeking professional liquidity partners, explore .
CEX vs DEX Market Making: Strategies, Costs & Risks Compared
CEX market making uses order books with retainers from $10K-$50K/month, while DEX market making relies on AMM liquidity pools with 5-30% APY yields. This guide compares both approaches with cost breakdowns, risk frameworks, and strategies for token projects in 2026.
CEX vs DEX market making represents one of the most consequential decisions a token project faces: whether to provide liquidity through traditional order books on centralized exchanges or through automated market maker (AMM) pools on decentralized exchanges. In 2026, CEX market making involves professional firms managing order books with retainers of $10,000-$50,000+ per month plus $200,000-$2,000,000 in token inventory, while DEX market making requires providing capital to smart contract liquidity pools with costs driven primarily by impermanent loss (2-10% on volatile pairs) rather than retainer fees. The landscape has shifted dramatically: DEXs now capture 15-20% of all crypto trading volume (up from negligible share in 2022), aggregate slippage costs reached $2.7 billion in 2024, and intent-based DEXs like UniswapX and CoW Swap are creating a hybrid model that combines CEX-style execution quality with DEX transparency. This guide provides a comprehensive comparison to help you choose and implement the right strategy.
For projects seeking professional liquidity partners, explore .
Before comparing CEX and DEX approaches, it is essential to understand how each mechanism works at a technical level.
How CEX Market Making Works
Centralized exchange market making operates on the traditional order book model. A market maker simultaneously places buy orders (bids) and sell orders (asks) on an exchange, profiting from the spread between them.
The mechanics:
β’The market maker deposits inventory (both the token and a quote currency like USDT) on the exchange.
β’Algorithms continuously place and adjust limit orders across multiple price levels, creating depth in the order book.
β’When a trader executes a market order, it fills against the market maker's limit orders.
β’The market maker earns the bid-ask spread while managing inventory risk.
Key concepts:
β’Spread: The difference between the best bid and best ask. Professional market makers maintain spreads of 0.1-0.5% for liquid pairs, widening to 1-3% for less liquid tokens.
β’Market depth: The total value of orders at various price levels. Greater depth means larger trades can execute without significant price impact.
β’Order refresh rate: How quickly the market maker adjusts orders in response to price movements. Professional firms operate in milliseconds.
β’Inventory management: Balancing holdings between the token and quote currency to maintain market-making capacity while managing directional risk.
Who provides CEX market making:
Firm
Daily Volume
Venues
Notable Features
Wintermute
~$15 billion
65+
Largest by volume, OTC desk, Node platform
GSR
Not disclosed publicly
50+
Founded 2013, SEC-regulated broker-dealer (Equilibrium)
DWF Labs
$1-5 billion
40+
Investment arm + market making
Cumberland (DRW)
Not disclosed publicly
Major venues
Subsidiary of DRW trading
Galaxy Digital
$1-5 billion
Major venues
Investment bank + trading
Amber Group
$1-3 billion
30+
Asia-focused, institutional
Keyrock
$500M-$2B
80+
European-based, algorithmic focus
How DEX Market Making Works
Decentralized exchange market making operates through Automated Market Makers, smart contracts that hold pairs of tokens in liquidity pools and algorithmically determine prices.
The AMM mechanics (constant product formula):
The foundational AMM model uses the formula: x * y = k
Where x and y are the quantities of two tokens in the pool, and k is a constant. When a trader swaps token A for token B, they add A to the pool and remove B, causing the price to shift according to the constant product formula.
Example: A pool holds 100 ETH and 200,000 USDC (k = 20,000,000). A trader wants to buy 1 ETH. They must add enough USDC to maintain k:
β’After trade: 99 ETH and ~202,020 USDC
β’The trader paid ~2,020 USDC for 1 ETH (price: $2,020)
β’If mid-market price was $2,000, slippage was ~1%
Concentrated liquidity (Uniswap v3 and successors):
Instead of providing liquidity across the entire price curve (0 to infinity), concentrated liquidity allows providers to allocate capital within specific price ranges. This innovation delivers up to 4,000x better capital efficiency at targeted price points.
Example: Instead of providing $100,000 across the full ETH/USDC range, a provider concentrates $100,000 between $1,800 and $2,200. Within that range, their position provides the same depth as $400,000+ in a full-range position. But if ETH moves outside that range, their position stops earning fees and is entirely in one token.
Other AMM models:
AMM Type
Protocol Examples
Best For
Trade-Off
Constant Product (x*y=k)
Uniswap v2, SushiSwap
General purpose
High slippage on large trades
Concentrated Liquidity
Uniswap v3/v4, PancakeSwap v3
Capital efficiency
Requires active management
StableSwap (Curve)
Curve Finance
Stablecoin pairs
Limited to correlated assets
Weighted Pools
Balancer
Custom token ratios
Complex to optimize
Concentrated + Hooks
Uniswap v4
Custom logic pools
New, limited tooling
Head-to-Head Comparison
Cost Comparison
Cost Category
CEX Market Making
DEX Market Making
Setup cost
$50,000-$200,000 (legal, integration)
$1,000-$10,000 (contract deployment, initial gas)
Monthly retainer
$10,000-$50,000+
None (self-managed) or $3,000-$10,000 (managed)
Token inventory
$200,000-$2,000,000 (loaned to MM)
Capital deployed in pools ($50,000-$500,000+)
Exchange listing fee
$50,000-$5,000,000+ (varies by tier)
Near-zero (permissionless listing)
Trading fees
Maker rebates to 0.1% per trade
0.01-1% per trade (varies by pool fee tier)
Gas costs
None (off-chain matching)
$1-$50 per transaction (varies by chain/L2)
Impermanent loss
N/A
2-10% quarterly on volatile pairs
Opportunity cost
Token locked with MM
Capital locked in pools
Typical Year 1 Total
$400,000-$3,000,000+
$60,000-$600,000
Performance Comparison
Metric
CEX Market Making
DEX Market Making
Spread quality
0.1-0.5% (tight)
0.3-2% (varies by pool depth)
Market depth
High (professional management)
Moderate (dependent on pool size)
Slippage on $100K trade
$100-$500
$500-$5,000+ (dependent on TVL)
Execution speed
Milliseconds
1-15 seconds (block confirmation)
24/7 availability
Yes (with redundancy)
Yes (smart contract, always on)
Price discovery quality
Excellent (deep order books)
Good (improves with concentrated liquidity)
Transparency
Low (off-chain, opaque)
High (on-chain, auditable)
MEV protection
Exchange-dependent
Vulnerable (unless using intent-based DEXs)
Cross-venue arbitrage
MM handles across venues
Community arbitrageurs align prices
Risk Comparison
Risk
CEX Market Making
DEX Market Making
Counterparty risk
High (exchange insolvency: FTX)
Low (smart contract, self-custody)
Smart contract risk
Low
Moderate (exploit potential)
Regulatory risk
Moderate (exchange compliance)
Low (permissionless)
Market manipulation risk
Moderate (wash trading possible)
Low (on-chain transparency)
Inventory risk
Managed by professional MM
Borne directly by LP (impermanent loss)
Operational risk
MM downtime, algorithm failures
Smart contract bugs, oracle failures
Token dump risk
MM may dump loaned tokens
No third-party token control
Censorship risk
Exchange can freeze funds/delist
Censorship-resistant
Deep Dive: Impermanent Loss
Impermanent loss (IL) is the defining risk of DEX market making. Understanding it quantitatively is essential for any token project evaluating DEX liquidity provision.
How Impermanent Loss Works
When you deposit token A and token B in a liquidity pool, the AMM maintains a constant ratio. As the price of A changes relative to B, the pool rebalances, selling the appreciating token and accumulating the depreciating one. The result: your position is worth less than if you had simply held both tokens.
Impermanent Loss at Different Price Changes
Price Change of Token A
Impermanent Loss
+/- 10%
0.11%
+/- 25%
0.6%
+/- 50%
2.0%
+/- 75%
3.8%
+/- 100% (2x)
5.7%
+/- 200% (3x)
13.4%
+/- 400% (5x)
25.5%
When IL is Manageable
β’Stablecoin pairs: USDC/USDT pools on Curve experience near-zero IL because prices rarely diverge
β’Correlated pairs: ETH/stETH or wBTC/BTC pools have minimal IL
β’High-fee pools: If trading fees earned exceed IL, the position remains profitable
β’Short time horizons: IL is less likely to be significant over short periods with range-bound prices
When IL is Dangerous
β’New token launches: Token prices are extremely volatile, making IL unpredictable
β’One-sided price movements: Sustained rallies or crashes maximize IL
β’Low-volume pools: Insufficient trading fees to offset IL
β’Concentrated positions: Narrower ranges increase fee income but also increase IL magnitude when price exits the range
Strategies to Mitigate IL
β’Pair with stablecoins: TOKEN/USDC pools experience IL only from your token's price movement
β’Use narrow ranges strategically: Concentrate liquidity around expected trading ranges, but actively manage positions
β’Implement range rebalancing: Adjust concentrated positions as price moves, similar to delta hedging
β’Choose high-fee tiers: Select pool fee tiers that compensate for expected volatility (0.3% or 1% for volatile pairs)
β’Hedge with options or perps: Sophisticated LPs hedge their directional exposure using derivatives
CEX Market Making: Engagement Models
Model 1: Retainer + Token Loan
The most common model. The project pays a monthly retainer and provides a token loan (inventory) that the market maker uses for trading.
Typical terms:
β’Monthly retainer: $10,000-$50,000
β’Token loan: 1-3% of total supply (or $200K-$2M equivalent)
β’Duration: 6-24 months
β’Call options: Market makers often receive options to purchase tokens at a discount (controversial but common)
β’Performance targets: Spread, uptime, and depth requirements
Pros: Professional management, consistent quality, accountability Cons: High cost, potential conflicts of interest, token dump risk
Model 2: Performance-Based
The market maker earns primarily from trading profits rather than fixed retainers.
Typical terms:
β’Low or no monthly retainer ($0-$10,000)
β’Profit-sharing: 30-50% of trading profits
β’Larger token inventory requirement
β’Fewer guaranteed performance metrics
Pros: Lower fixed cost, alignment on volume Cons: Less control over behavior, may prioritize profitable trades over market stability
Model 3: Agency Trading
The project provides capital and the market maker executes strategies as an agent, not a principal.
Typical terms:
β’Management fee: 1-3% of capital annually
β’Performance fee: 10-20% of profits
β’Project retains custody of assets
β’Transparent reporting requirements
Pros: Greater transparency, project controls capital Cons: Higher capital requirement, more project involvement needed
Deploy liquidity across the entire price range on a Uniswap v2-style pool or full-range v3 position.
Best for: Projects that want simple, set-and-forget liquidity Capital efficiency: Low (1x) Management needs: Minimal Risk: Moderate IL, lower fee earnings per capital deployed
Strategy 2: Concentrated Range LP
Deploy concentrated liquidity within a specific price range on Uniswap v3/v4.
Best for: Projects with predictable price ranges or active management capability Capital efficiency: High (up to 4,000x within range) Management needs: High (requires regular rebalancing) Risk: Higher IL if price exits range, but much higher fee earnings within range
Implementation tips:
β’Start with a range that covers +/- 30% of current price
β’Narrow the range as you gain confidence in price behavior
β’Set alerts for price approaching range boundaries
β’Rebalance when price reaches 80% of range boundary
Strategy 3: Multi-Pool Strategy
Deploy liquidity across multiple DEXs and chains to maximize accessibility and fee earnings.
Example allocation for a mid-cap token:
β’40% on Uniswap v3 (Ethereum mainnet) β primary venue
β’25% on Uniswap v3 (Arbitrum or Base) β L2 access
β’20% on PancakeSwap v3 (BNB Chain) β BNB ecosystem access
β’15% on Raydium (Solana) β Solana ecosystem access
Strategy 4: Protocol-Owned Liquidity (POL)
Instead of relying on external liquidity providers, the protocol itself owns and manages its liquidity positions.
Advantages:
β’No dependency on mercenary capital that leaves when incentives end
β’Full control over liquidity depth and distribution
β’Eliminates the need for expensive liquidity mining programs
β’Revenue from trading fees flows directly to the protocol treasury
Implementation: Protocols like OlympusDAO pioneered POL through bonding mechanisms. Modern implementations use treasury management smart contracts to maintain and rebalance liquidity positions automatically.
Strategy 5: Intent-Based DEX Integration
A newer approach leveraging intent-based DEXs like CoW Swap, 1inch Fusion, and UniswapX.
How it works:
β’Traders express their intent ("I want to sell X tokens for at least Y price")
β’Professional solvers compete to fill the order at the best price
β’Solvers route across multiple liquidity sources, including AMM pools, order books, and private inventory
β’The trader receives the best execution, and MEV is minimized
Impact on market making:
β’Creates a hybrid model where professional market makers compete on DEX rails
β’Reduces the impact of MEV bots that extract value from AMM traders
β’Improves execution quality for large trades
β’Projects can work with solvers to ensure their token liquidity is well-served
β’Due diligence on market makers: Verify track record, check references from other projects, and review their compliance standards
β’Contractual protections: Include performance minimums (spread, uptime, depth), trading restrictions (no dumping, no wash trading), and termination clauses
β’Inventory controls: Define maximum token allocation, vesting on any options granted, and reporting requirements
β’Exchange diversification: Avoid concentrating all CEX liquidity on a single exchange (counterparty risk, as demonstrated by FTX's $8 billion collapse)
β’Monitoring: Use independent tools to verify market maker performance against contractual obligations
For DEX Market Making
β’Smart contract audits: Only deploy liquidity on audited protocols. Verify audit recency and scope with security partners
β’Impermanent loss budgeting: Model worst-case IL scenarios before deploying capital
β’Position monitoring: Set up automated alerts for price range exits, large withdrawals, and unusual pool activity
β’Insurance: Consider DeFi insurance protocols like Nexus Mutual for large positions
β’Gradual deployment: Start with small positions and scale as you understand pool dynamics
The Convergence: Where CEX and DEX Market Making Are Heading
The distinction between CEX and DEX market making is blurring in 2026:
Intent-based DEXs bring professional market making to decentralized infrastructure. Solvers on CoW Swap and UniswapX operate like CEX market makers but execute on-chain.
Hybrid exchanges combine order book and AMM functionality. Platforms like dYdX v4 (its own Cosmos chain with an order book) and Sei (built-in matching engine) merge the best of both worlds.
On-chain order books on high-throughput L2s and alternative L1s offer CEX-like execution with DEX-like transparency and self-custody.
Cross-venue aggregation allows market makers to operate seamlessly across CEX and DEX venues, providing unified liquidity that routes traders to the best execution regardless of venue.
The CEX vs DEX market making decision is not binary. The most successful token projects in 2026 use a staged approach: starting with DEX liquidity for permissionless price discovery, scaling to CEX listings with professional market makers as demand grows, and ultimately maintaining a multi-venue strategy that serves all user segments.
The key is matching your approach to your project's stage, budget, and audience. Early-stage projects with limited budgets should focus on DEX liquidity and concentrate their capital efficiently. Growth-stage projects should begin engaging professional market makers for CEX listings. Established tokens need comprehensive multi-venue strategies with professional management across both CEX and DEX venues.
Whatever approach you choose, remember that market making is not a one-time setup but an ongoing operation that requires monitoring, adjustment, and evolution as your token and market conditions change.
Before comparing CEX and DEX approaches, it is essential to understand how each mechanism works at a technical level.
How CEX Market Making Works
Centralized exchange market making operates on the traditional order book model. A market maker simultaneously places buy orders (bids) and sell orders (asks) on an exchange, profiting from the spread between them.
The mechanics:
β’The market maker deposits inventory (both the token and a quote currency like USDT) on the exchange.
β’Algorithms continuously place and adjust limit orders across multiple price levels, creating depth in the order book.
β’When a trader executes a market order, it fills against the market maker's limit orders.
β’The market maker earns the bid-ask spread while managing inventory risk.
Key concepts:
β’Spread: The difference between the best bid and best ask. Professional market makers maintain spreads of 0.1-0.5% for liquid pairs, widening to 1-3% for less liquid tokens.
β’Market depth: The total value of orders at various price levels. Greater depth means larger trades can execute without significant price impact.
β’Order refresh rate: How quickly the market maker adjusts orders in response to price movements. Professional firms operate in milliseconds.
β’Inventory management: Balancing holdings between the token and quote currency to maintain market-making capacity while managing directional risk.
Who provides CEX market making:
Firm
Daily Volume
Venues
Notable Features
Wintermute
~$15 billion
65+
Largest by volume, OTC desk, Node platform
GSR
Not disclosed publicly
50+
Founded 2013, SEC-regulated broker-dealer (Equilibrium)
DWF Labs
$1-5 billion
40+
Investment arm + market making
Cumberland (DRW)
Not disclosed publicly
Major venues
Subsidiary of DRW trading
Galaxy Digital
$1-5 billion
Major venues
Investment bank + trading
Amber Group
$1-3 billion
30+
Asia-focused, institutional
Keyrock
$500M-$2B
80+
European-based, algorithmic focus
How DEX Market Making Works
Decentralized exchange market making operates through Automated Market Makers, smart contracts that hold pairs of tokens in liquidity pools and algorithmically determine prices.
The AMM mechanics (constant product formula):
The foundational AMM model uses the formula: x * y = k
Where x and y are the quantities of two tokens in the pool, and k is a constant. When a trader swaps token A for token B, they add A to the pool and remove B, causing the price to shift according to the constant product formula.
Example: A pool holds 100 ETH and 200,000 USDC (k = 20,000,000). A trader wants to buy 1 ETH. They must add enough USDC to maintain k:
β’After trade: 99 ETH and ~202,020 USDC
β’The trader paid ~2,020 USDC for 1 ETH (price: $2,020)
β’If mid-market price was $2,000, slippage was ~1%
Concentrated liquidity (Uniswap v3 and successors):
Instead of providing liquidity across the entire price curve (0 to infinity), concentrated liquidity allows providers to allocate capital within specific price ranges. This innovation delivers up to 4,000x better capital efficiency at targeted price points.
Example: Instead of providing $100,000 across the full ETH/USDC range, a provider concentrates $100,000 between $1,800 and $2,200. Within that range, their position provides the same depth as $400,000+ in a full-range position. But if ETH moves outside that range, their position stops earning fees and is entirely in one token.
Other AMM models:
AMM Type
Protocol Examples
Best For
Trade-Off
Constant Product (x*y=k)
Uniswap v2, SushiSwap
General purpose
High slippage on large trades
Concentrated Liquidity
Uniswap v3/v4, PancakeSwap v3
Capital efficiency
Requires active management
StableSwap (Curve)
Curve Finance
Stablecoin pairs
Limited to correlated assets
Weighted Pools
Balancer
Custom token ratios
Complex to optimize
Concentrated + Hooks
Uniswap v4
Custom logic pools
New, limited tooling
Head-to-Head Comparison
Cost Comparison
Cost Category
CEX Market Making
DEX Market Making
Setup cost
$50,000-$200,000 (legal, integration)
$1,000-$10,000 (contract deployment, initial gas)
Monthly retainer
$10,000-$50,000+
None (self-managed) or $3,000-$10,000 (managed)
Token inventory
$200,000-$2,000,000 (loaned to MM)
Capital deployed in pools ($50,000-$500,000+)
Exchange listing fee
$50,000-$5,000,000+ (varies by tier)
Near-zero (permissionless listing)
Trading fees
Maker rebates to 0.1% per trade
0.01-1% per trade (varies by pool fee tier)
Gas costs
None (off-chain matching)
$1-$50 per transaction (varies by chain/L2)
Impermanent loss
N/A
2-10% quarterly on volatile pairs
Opportunity cost
Token locked with MM
Capital locked in pools
Typical Year 1 Total
$400,000-$3,000,000+
$60,000-$600,000
Performance Comparison
Metric
CEX Market Making
DEX Market Making
Spread quality
0.1-0.5% (tight)
0.3-2% (varies by pool depth)
Market depth
High (professional management)
Moderate (dependent on pool size)
Slippage on $100K trade
$100-$500
$500-$5,000+ (dependent on TVL)
Execution speed
Milliseconds
1-15 seconds (block confirmation)
24/7 availability
Yes (with redundancy)
Yes (smart contract, always on)
Price discovery quality
Excellent (deep order books)
Good (improves with concentrated liquidity)
Transparency
Low (off-chain, opaque)
High (on-chain, auditable)
MEV protection
Exchange-dependent
Vulnerable (unless using intent-based DEXs)
Cross-venue arbitrage
MM handles across venues
Community arbitrageurs align prices
Risk Comparison
Risk
CEX Market Making
DEX Market Making
Counterparty risk
High (exchange insolvency: FTX)
Low (smart contract, self-custody)
Smart contract risk
Low
Moderate (exploit potential)
Regulatory risk
Moderate (exchange compliance)
Low (permissionless)
Market manipulation risk
Moderate (wash trading possible)
Low (on-chain transparency)
Inventory risk
Managed by professional MM
Borne directly by LP (impermanent loss)
Operational risk
MM downtime, algorithm failures
Smart contract bugs, oracle failures
Token dump risk
MM may dump loaned tokens
No third-party token control
Censorship risk
Exchange can freeze funds/delist
Censorship-resistant
Deep Dive: Impermanent Loss
Impermanent loss (IL) is the defining risk of DEX market making. Understanding it quantitatively is essential for any token project evaluating DEX liquidity provision.
How Impermanent Loss Works
When you deposit token A and token B in a liquidity pool, the AMM maintains a constant ratio. As the price of A changes relative to B, the pool rebalances, selling the appreciating token and accumulating the depreciating one. The result: your position is worth less than if you had simply held both tokens.
Impermanent Loss at Different Price Changes
Price Change of Token A
Impermanent Loss
+/- 10%
0.11%
+/- 25%
0.6%
+/- 50%
2.0%
+/- 75%
3.8%
+/- 100% (2x)
5.7%
+/- 200% (3x)
13.4%
+/- 400% (5x)
25.5%
When IL is Manageable
β’Stablecoin pairs: USDC/USDT pools on Curve experience near-zero IL because prices rarely diverge
β’Correlated pairs: ETH/stETH or wBTC/BTC pools have minimal IL
β’High-fee pools: If trading fees earned exceed IL, the position remains profitable
β’Short time horizons: IL is less likely to be significant over short periods with range-bound prices
When IL is Dangerous
β’New token launches: Token prices are extremely volatile, making IL unpredictable
β’One-sided price movements: Sustained rallies or crashes maximize IL
β’Low-volume pools: Insufficient trading fees to offset IL
β’Concentrated positions: Narrower ranges increase fee income but also increase IL magnitude when price exits the range
Strategies to Mitigate IL
β’Pair with stablecoins: TOKEN/USDC pools experience IL only from your token's price movement
β’Use narrow ranges strategically: Concentrate liquidity around expected trading ranges, but actively manage positions
β’Implement range rebalancing: Adjust concentrated positions as price moves, similar to delta hedging
β’Choose high-fee tiers: Select pool fee tiers that compensate for expected volatility (0.3% or 1% for volatile pairs)
β’Hedge with options or perps: Sophisticated LPs hedge their directional exposure using derivatives
CEX Market Making: Engagement Models
Model 1: Retainer + Token Loan
The most common model. The project pays a monthly retainer and provides a token loan (inventory) that the market maker uses for trading.
Typical terms:
β’Monthly retainer: $10,000-$50,000
β’Token loan: 1-3% of total supply (or $200K-$2M equivalent)
β’Duration: 6-24 months
β’Call options: Market makers often receive options to purchase tokens at a discount (controversial but common)
β’Performance targets: Spread, uptime, and depth requirements
Pros: Professional management, consistent quality, accountability Cons: High cost, potential conflicts of interest, token dump risk
Model 2: Performance-Based
The market maker earns primarily from trading profits rather than fixed retainers.
Typical terms:
β’Low or no monthly retainer ($0-$10,000)
β’Profit-sharing: 30-50% of trading profits
β’Larger token inventory requirement
β’Fewer guaranteed performance metrics
Pros: Lower fixed cost, alignment on volume Cons: Less control over behavior, may prioritize profitable trades over market stability
Model 3: Agency Trading
The project provides capital and the market maker executes strategies as an agent, not a principal.
Typical terms:
β’Management fee: 1-3% of capital annually
β’Performance fee: 10-20% of profits
β’Project retains custody of assets
β’Transparent reporting requirements
Pros: Greater transparency, project controls capital Cons: Higher capital requirement, more project involvement needed
Deploy liquidity across the entire price range on a Uniswap v2-style pool or full-range v3 position.
Best for: Projects that want simple, set-and-forget liquidity Capital efficiency: Low (1x) Management needs: Minimal Risk: Moderate IL, lower fee earnings per capital deployed
Strategy 2: Concentrated Range LP
Deploy concentrated liquidity within a specific price range on Uniswap v3/v4.
Best for: Projects with predictable price ranges or active management capability Capital efficiency: High (up to 4,000x within range) Management needs: High (requires regular rebalancing) Risk: Higher IL if price exits range, but much higher fee earnings within range
Implementation tips:
β’Start with a range that covers +/- 30% of current price
β’Narrow the range as you gain confidence in price behavior
β’Set alerts for price approaching range boundaries
β’Rebalance when price reaches 80% of range boundary
Strategy 3: Multi-Pool Strategy
Deploy liquidity across multiple DEXs and chains to maximize accessibility and fee earnings.
Example allocation for a mid-cap token:
β’40% on Uniswap v3 (Ethereum mainnet) β primary venue
β’25% on Uniswap v3 (Arbitrum or Base) β L2 access
β’20% on PancakeSwap v3 (BNB Chain) β BNB ecosystem access
β’15% on Raydium (Solana) β Solana ecosystem access
Strategy 4: Protocol-Owned Liquidity (POL)
Instead of relying on external liquidity providers, the protocol itself owns and manages its liquidity positions.
Advantages:
β’No dependency on mercenary capital that leaves when incentives end
β’Full control over liquidity depth and distribution
β’Eliminates the need for expensive liquidity mining programs
β’Revenue from trading fees flows directly to the protocol treasury
Implementation: Protocols like OlympusDAO pioneered POL through bonding mechanisms. Modern implementations use treasury management smart contracts to maintain and rebalance liquidity positions automatically.
Strategy 5: Intent-Based DEX Integration
A newer approach leveraging intent-based DEXs like CoW Swap, 1inch Fusion, and UniswapX.
How it works:
β’Traders express their intent ("I want to sell X tokens for at least Y price")
β’Professional solvers compete to fill the order at the best price
β’Solvers route across multiple liquidity sources, including AMM pools, order books, and private inventory
β’The trader receives the best execution, and MEV is minimized
Impact on market making:
β’Creates a hybrid model where professional market makers compete on DEX rails
β’Reduces the impact of MEV bots that extract value from AMM traders
β’Improves execution quality for large trades
β’Projects can work with solvers to ensure their token liquidity is well-served
β’Due diligence on market makers: Verify track record, check references from other projects, and review their compliance standards
β’Contractual protections: Include performance minimums (spread, uptime, depth), trading restrictions (no dumping, no wash trading), and termination clauses
β’Inventory controls: Define maximum token allocation, vesting on any options granted, and reporting requirements
β’Exchange diversification: Avoid concentrating all CEX liquidity on a single exchange (counterparty risk, as demonstrated by FTX's $8 billion collapse)
β’Monitoring: Use independent tools to verify market maker performance against contractual obligations
For DEX Market Making
β’Smart contract audits: Only deploy liquidity on audited protocols. Verify audit recency and scope with security partners
β’Impermanent loss budgeting: Model worst-case IL scenarios before deploying capital
β’Position monitoring: Set up automated alerts for price range exits, large withdrawals, and unusual pool activity
β’Insurance: Consider DeFi insurance protocols like Nexus Mutual for large positions
β’Gradual deployment: Start with small positions and scale as you understand pool dynamics
The Convergence: Where CEX and DEX Market Making Are Heading
The distinction between CEX and DEX market making is blurring in 2026:
Intent-based DEXs bring professional market making to decentralized infrastructure. Solvers on CoW Swap and UniswapX operate like CEX market makers but execute on-chain.
Hybrid exchanges combine order book and AMM functionality. Platforms like dYdX v4 (its own Cosmos chain with an order book) and Sei (built-in matching engine) merge the best of both worlds.
On-chain order books on high-throughput L2s and alternative L1s offer CEX-like execution with DEX-like transparency and self-custody.
Cross-venue aggregation allows market makers to operate seamlessly across CEX and DEX venues, providing unified liquidity that routes traders to the best execution regardless of venue.
The CEX vs DEX market making decision is not binary. The most successful token projects in 2026 use a staged approach: starting with DEX liquidity for permissionless price discovery, scaling to CEX listings with professional market makers as demand grows, and ultimately maintaining a multi-venue strategy that serves all user segments.
The key is matching your approach to your project's stage, budget, and audience. Early-stage projects with limited budgets should focus on DEX liquidity and concentrate their capital efficiently. Growth-stage projects should begin engaging professional market makers for CEX listings. Established tokens need comprehensive multi-venue strategies with professional management across both CEX and DEX venues.
Whatever approach you choose, remember that market making is not a one-time setup but an ongoing operation that requires monitoring, adjustment, and evolution as your token and market conditions change.