Market Maker

How does a market maker actually make money? What are the main revenue sources?

The core profit model is the bid-ask spread — a market maker posts a buy price and a sell price simultaneously, leaving a small gap between the two. When one trader fills against their buy quote and another fills against their sell quote, that gap becomes profit. This mechanism depends on the market maker executing continuously and at high volume — each individual spread is small, but accumulated across an extremely high frequency of trades, the scale can become substantial.

Beyond the spread itself, market makers typically layer multiple revenue streams: exchanges eager to attract market makers often offer maker fee discounts or even rebates (a negative fee, meaning the exchange pays the market maker for adding liquidity); market makers frequently run cross-exchange arbitrage on the side, capturing momentary price gaps between platforms; and larger market makers also offer OTC trading services, charging institutional clients a service fee on top of the negotiated price.

Why are exchanges and new projects willing to pay for market makers — shouldn't the market form its own liquidity naturally?

In theory, a market can develop liquidity organically, but that requires enough independent traders to be interested simultaneously — which almost never happens in the early days of a new exchange or a freshly listed token. Nobody wants to trade in a market with a thin order book where a single random order can send the price swinging wildly. This chicken-and-egg problem is exactly the core value a market maker provides: using professional capital and algorithms to artificially create the appearance of "this is active and stable enough" during the early phase, drawing in genuine traders. Once real trading volume accumulates, the market has a chance to take over the depth the market maker originally propped up.

This isn't faking or deceiving anyone — it's a form of infrastructure procurement, similar to how a newly opened mall recruits a few well-known anchor brands first to draw in the other stores and customers that follow.

What's the concrete difference between a market maker and an ordinary large trader (whale) as it shows up on the order book?

A market maker's quoting pattern is typically continuous, dense, and two-sided — a buy price and a sell price exist simultaneously and are adjusted in near real time as the market moves, staying on the book for extended periods. An ordinary large trader (a whale) typically places a one-off, larger, one-sided order that ends once executed, reflecting a clear directional view (buying signals bullishness, selling signals bearishness), and doesn't persistently remain on the book providing two-sided quotes.

This distinction is useful when reading the order book: persistent, dense, two-sided quoting is more likely a market maker maintaining the market; a sudden, massive one-sided order is more likely a whale entering or exiting a position. The two reflect completely different market signals — the former is infrastructure being in place, the latter is genuine directional trading intent.

How does understanding the market maker role actually help an average trader?

The most direct benefit is being able to read "this market looks active" more carefully. Especially when evaluating a newly listed token or a new exchange, sufficient order book depth only tells you a market maker is present providing service — it doesn't automatically mean a large number of genuine users are trading this asset. These are two different signals that are easy to conflate. It also explains the business logic behind some exchange marketing: when you see an exchange advertising "0% maker fees," this usually isn't a simple discount to you — it's the exchange lowering the cost of attracting market makers in exchange for order book depth, and you're just enjoying the same rate along the way.

A more grounded practical approach is to also observe whether real trading volume is concentrated in a handful of accounts, and whether community discussion volume actually matches on-chart activity, rather than judging whether a project is worth participating in based purely on how thick the book looks.