Inferensys

Glossary

Maker-Taker Model

A fee structure where exchanges pay a rebate to traders who provide liquidity via resting limit orders and charge a fee to traders who take liquidity with marketable orders.
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EXCHANGE FEE STRUCTURE

What is Maker-Taker Model?

The maker-taker model is an exchange pricing structure that provides a rebate to participants who supply liquidity via resting limit orders (makers) and charges a fee to those who remove liquidity with marketable orders (takers).

The maker-taker model is a transaction fee framework where exchanges pay a rebate to traders who provide liquidity by placing non-marketable limit orders that rest on the order book, while charging an access fee to traders who take liquidity by submitting marketable orders that execute immediately against resting quotes. This economic incentive is designed to tighten bid-ask spreads and attract order flow by rewarding passive volume contribution.

Under this structure, a maker might receive a rebate of $0.0020 per share while the taker pays a fee of $0.0030, generating a net profit for the exchange. The model directly influences order routing decisions, as brokers and smart order routers may prioritize venues with higher rebates, creating potential conflicts with best execution obligations under regulations like Regulation NMS and MiFID II.

LIQUIDITY ECONOMICS

Core Characteristics of the Maker-Taker Model

The maker-taker model is a transaction fee structure that incentivizes liquidity provision by paying rebates to limit order traders while charging access fees to those who remove liquidity with marketable orders.

01

Liquidity Provision Incentive

The model pays a rebate to makers who submit non-marketable resting limit orders that add depth to the order book. This economic incentive encourages traders to quote competitively, tightening the bid-ask spread and reducing transaction costs for all market participants. Exchanges compete on rebate levels to attract order flow from high-frequency market makers and statistical arbitrage firms.

$0.0020-$0.0030
Typical Per-Share Maker Rebate
02

Liquidity Removal Access Fee

Takers who submit marketable orders that execute immediately against resting liquidity are charged an access fee. This fee is typically higher than the maker rebate, generating the exchange's net revenue through the spread capture between the two rates. Takers accept this cost in exchange for immediacy of execution and certainty of fill.

$0.0030
Standard Per-Share Taker Fee
03

Inverted Venue Structure

Some exchanges operate an inverted maker-taker model where makers pay a fee and takers receive a rebate. This structure appeals to agency brokers and smart order routers seeking to capture rebates on aggressive, liquidity-taking orders. Inverted venues often attract retail order flow routed via payment-for-order-flow arrangements.

04

Fee Tiering and Volume Discounts

Exchanges implement tiered pricing schedules based on monthly trading volume. High-volume participants qualify for enhanced rebates or reduced fees, creating a volume discount curve that benefits large market makers and proprietary trading firms. Tiers are calculated using metrics such as:

  • Average daily volume (ADV)
  • Liquidity provision ratio (maker volume / total volume)
  • Order-to-trade ratio compliance
05

Impact on Quote Competition

The maker rebate enables market makers to quote at sub-penny increments while remaining profitable. A market maker can earn the spread plus the rebate, allowing them to tighten quotes beyond what the raw bid-ask spread would support. This dynamic intensifies price competition and narrows the National Best Bid and Offer (NBBO), directly benefiting end investors through improved execution prices.

MAKER-TAKER MODEL

Frequently Asked Questions

Clear, technical answers to the most common questions about the maker-taker fee structure, its mechanics, and its impact on market microstructure.

The maker-taker model is an exchange fee structure that pays a rebate to traders who provide liquidity via resting limit orders (makers) and charges a fee to traders who remove liquidity with marketable orders (takers). The economic logic is straightforward: makers receive a per-share rebate—typically $0.0020 to $0.0030 per share in US equities—while takers pay an access fee of approximately $0.0030 per share. The exchange profits from the spread between the taker fee and the maker rebate. This model was pioneered in the late 1990s by electronic communication networks like Island ECN to attract liquidity away from incumbent exchanges. By subsidizing limit order submission, the model incentivizes tight bid-ask spreads and deep order books, which in turn attract more taker flow seeking immediate execution. The net effect is a liquidity flywheel: more makers tighten spreads, which attracts more takers, which increases volume, which attracts more makers.

EXCHANGE FEE STRUCTURE COMPARISON

Maker-Taker vs. Taker-Maker (Inverted) Fee Models

Comparison of standard maker-taker pricing against the inverted taker-maker model, where liquidity providers pay a fee and liquidity takers receive a rebate.

FeatureMaker-TakerTaker-Maker (Inverted)

Liquidity Provider (Maker) Fee

Rebate: -$0.0020 to -$0.0030 per share

Fee: +$0.0015 to +$0.0030 per share

Liquidity Taker Fee

Fee: +$0.0025 to +$0.0035 per share

Rebate: -$0.0010 to -$0.0025 per share

Primary Incentive

Encourage limit order placement to deepen order book

Attract aggressive marketable order flow to venue

Typical Venue Type

Primary lit exchanges (NYSE, NASDAQ)

Alternative Trading Systems and exchange startups

Impact on Spread

Tightens bid-ask spread via maker competition

May widen spread as makers price in access fee

High-Frequency Trading Effect

Rewards HFT market-making strategies

Rewards HFT liquidity-taking strategies

Regulatory Scrutiny

Moderate; access fee caps under Reg NMS Rule 610

Higher; SEC Pilot Program examined fee/rebate conflicts

Net Cost for Passive Strategy

Negative (earns rebate)

Positive (pays access fee)

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.