Inferensys

Glossary

Maker-Taker Fee Model

A pricing structure where exchanges provide a rebate to traders who add liquidity (makers) with limit orders and charge a fee to traders who remove liquidity (takers) with market orders.
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EXCHANGE PRICING STRUCTURE

What is Maker-Taker Fee Model?

The maker-taker fee model is a transaction pricing structure used by electronic exchanges to incentivize liquidity provision by offering rebates to limit order traders (makers) while charging a fee to market order traders (takers) who remove that liquidity.

The maker-taker fee model is an asymmetric pricing structure where exchanges pay a rebate to participants who submit non-marketable resting limit orders that add depth to the limit order book (LOB). Conversely, participants who execute against these resting orders using marketable orders are charged a taker fee, which is typically higher than the maker rebate, generating the exchange's net revenue from the spread between the two.

This model directly shapes market microstructure by artificially tightening the bid-ask spread and encouraging continuous two-sided quoting. For high-frequency market makers, the accumulated rebate constitutes a significant portion of their profit margin, while institutional execution algorithms must factor the taker fee into their transaction cost analysis (TCA) and implementation shortfall calculations.

MAKER-TAKER FEE MODEL

Key Features of the Model

The maker-taker model is a pricing structure that incentivizes liquidity provision by offering rebates to limit order traders while charging fees to market order traders who consume that liquidity.

01

Liquidity Rebates for Makers

A maker adds liquidity to the order book by placing a limit order that is not immediately matched. Exchanges reward this behavior with a rebate, typically ranging from $0.0020 to $0.0030 per share. This creates a positive economic incentive for market participants to quote tight bid-ask spreads, directly reducing the cost of trading for all participants. The rebate is a credit applied to the maker's account upon execution.

$0.0020-$0.0030
Typical Maker Rebate Per Share
02

Access Fees for Takers

A taker removes liquidity by submitting a market order or a marketable limit order that executes immediately against a resting order. Exchanges charge takers an access fee, commonly $0.0030 per share. This fee compensates the exchange for the service of immediate execution and funds the rebate paid to the maker. The taker prioritizes speed and certainty of execution over cost minimization.

$0.0030
Standard Taker Fee Per Share
03

Inverted Venue Structures

An inverted maker-taker model reverses the standard fee schedule. Takers receive a rebate for removing liquidity, while makers pay a fee for posting it. This structure is designed to attract aggressive, informed order flow. Exchanges like NASDAQ BX and BYX have historically operated inverted models to compete for retail order flow that is routed via payment for order flow (PFOF) arrangements.

NASDAQ BX
Example Inverted Exchange
04

Impact on Effective Spread

The maker-taker fee model directly influences the effective spread—the actual cost of a round-trip trade. A market maker's quoted spread must be wide enough to capture the net rebate after costs. For example, with a $0.0030 rebate and a $0.0030 taker fee, a market maker can profitably quote at the touch price with a one-cent spread, earning the rebate on both sides of the trade. This compresses the quoted spread below what would be economically viable without rebates.

$0.01
Minimum Viable Quoted Spread
05

Regulatory Scrutiny and Access Fee Caps

The SEC has closely examined maker-taker pricing due to concerns about conflicts of interest in order routing. Regulation NMS Rule 610 caps access fees at $0.0030 per share for protected quotations. The SEC's proposed Regulation Best Execution and the ongoing debate around a potential ban on maker-taker rebates in the equities market reflect concerns that rebates may distort routing decisions away from true best execution.

$0.0030
SEC Access Fee Cap (Rule 610)
06

Fee Schedule Tiers and Volume Discounts

Exchanges implement complex, multi-tiered fee schedules based on monthly volume thresholds. A high-volume market maker might achieve a top tier, earning a $0.0035 rebate, while a low-volume participant receives only $0.0020. These tiers create a network effect that concentrates liquidity on the largest exchanges. Tiers are often differentiated by security type, order type, and liquidity flag (adding vs. removing).

10+
Typical Fee Tiers Per Exchange
MAKER-TAKER FEE MODEL

Frequently Asked Questions

A maker-taker fee model is an exchange pricing structure that incentivizes liquidity provision by offering rebates to traders who place limit orders (makers) and charging fees to those who execute against them with market orders (takers).

A maker-taker fee model is an exchange pricing structure where makers (traders who add liquidity to the order book via non-marketable limit orders) receive a rebate, while takers (traders who remove liquidity by executing against resting orders) pay a fee. The economic logic reverses the traditional dealer model: instead of paying a commission for the service of immediacy, the provider of immediacy (the taker) compensates the provider of liquidity (the maker). For example, a typical equity exchange might charge takers $0.0030 per share and rebate makers $0.0020 per share, with the exchange retaining the $0.0010 spread as revenue. This structure creates a continuous incentive for participants to post competitive bid and ask quotes, tightening the bid-ask spread and deepening the limit order book.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.