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Every automated order is priced as either a maker or a taker. Here is what maker vs taker fees mean, why they differ, and how your order types decide the cost of running automation.
Maker vs taker fees are one of the quietest costs in crypto trading, and one of the easiest to ignore until they add up. Every time an automated order hits a supported exchange, it is priced as either a maker order or a taker order, and the two are charged at different rates. If your strategy fires dozens of orders a day, that gap between maker and taker fees stops being a rounding error and starts shaping the real cost of running your automation.
This guide explains what maker and taker fees mean, why exchanges price them differently, and how the order types your automation sends decide which fee you pay. The aim is the mechanics, not a recommendation, so your automated setup behaves the way you expect.
A crypto exchange matches buyers and sellers through an order book: a live list of resting buy and sell orders at different prices. Whether your order is a maker or a taker depends on what it does to that book.
A maker order adds liquidity. It rests on the order book and waits for someone else to trade against it. A limit order priced away from the current market sits there as a "maker" until it fills. You are making liquidity available for other traders.
A taker order removes liquidity. It matches immediately against an order that is already resting on the book. A market order, or a limit order priced so it fills instantly, is a "taker" because it takes existing liquidity off the book.
Most exchanges charge takers slightly more than makers. The exact numbers vary by venue and by your trading volume tier, but a common pattern is a maker fee at or near zero and a taker fee a fraction of a percent higher. The difference sounds tiny per trade. Across an automated strategy running around the clock, it compounds into a meaningful line item.
The split is an incentive. A deep, liquid order book makes an exchange usable: tight spreads, quick fills, less slippage. Makers supply that depth by leaving resting orders on the book, so exchanges reward them with a lower fee. Takers consume that depth, so they pay a little more for an instant fill.
For a manual trader, this rarely matters. For an automated system sending many orders per hour, the maker-taker structure is one of the clearest levers on your running cost, and it is worth understanding before you scale up how often your strategy trades.
Whether an order is charged as a maker or a taker comes down to the order type your automation sends and how it is priced. This is where the difference between market and limit orders becomes practical rather than academic:
So the fee you pay is not really about maker vs taker as a setting you toggle. It is a consequence of the order type, the limit price, and whether that price crosses the current spread at the moment the order reaches the exchange.
Automation changes the maker-taker question in three ways worth planning for.
Frequency multiplies the cost. A discretionary trader might pay the taker fee a few times a week. A strategy that enters and exits many times a day pays it on every fill. The per-trade difference between maker and taker fees is small, but frequency is exactly what automation adds.
Speed usually favors takers. Many automated strategies exist because timing matters. If your signal needs to execute the moment it fires, a market order (a taker) gets you filled immediately, while a resting maker order might never fill if price moves away. There is a real trade-off here between fee and fill certainty, and latency in automated trading is part of the same picture: the longer it takes an order to reach the exchange, the more the market can move against a resting limit.
Maker strategies need a fill plan. If you want the lower maker fee, your automation has to handle the case where a resting limit order does not fill. That means logic for timeouts, re-pricing, or converting to a taker after a delay. Without it, a maker-only approach can leave you unfilled at exactly the wrong moment.
You do not need to optimize fees to the last decimal. You do need your automation to behave predictably. A few practical habits:
None of this requires changing your strategy logic. It is about making sure the execution layer sends the order type you intended.
Fees are charged by the exchange, on the exchange, against funds that stay in your own exchange account. A relay like SignalToExchange does not touch your balance and does not set your fees. Its job is to take the signal you generate and submit exactly the order type you specified to the exchange, reliably and quickly, so the maker-or-taker outcome is the one you intended rather than a surprise.
That separation matters. You keep custody of your funds, you connect trade-only API keys with no withdrawal access, and the relay simply carries the instruction. If your automation is designed around maker orders, the relay sends limit orders as you defined them. If it needs the certainty of a taker fill, it sends the market order. The fee logic stays yours; the execution stays dependable.
If you want a clear picture of that split, our explainer on signals versus execution covers why the tool that generates your idea and the layer that places the order are two different jobs.
On most crypto exchanges, yes: the maker rate is at or below the taker rate. A few venues run promotions or fee schedules where the gap narrows or the maker fee is zero. Always check the specific exchange's current fee page, since the numbers change and depend on your volume tier.
Effectively yes. A market order is designed to fill immediately by taking liquidity off the book, which is the definition of a taker order. If you want the maker rate, you need a resting limit order that does not cross the spread.
Your strategy decides the order type; the execution layer sends it. If your logic uses limit or post-only orders, those can qualify as maker orders. Just make sure you also handle the case where a resting order does not fill, so a maker-first approach does not leave a signal unexecuted.
Fees and slippage are separate costs, but they interact. Taker (market) orders fill immediately and can incur slippage if the book is thin. Maker (limit) orders avoid crossing the spread but risk not filling. Fee-aware automation weighs both, not just the headline fee.
Maker vs taker fees come down to one thing: whether your order adds liquidity to the book or takes it away. Makers rest and wait; takers fill now. For automated trading, the difference is small per order but real at scale, and the order type your automation sends is what decides it. Understand that relationship, match your order types to your signals, and the fee side of your automation stops being a mystery.
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