Maker/Taker Mix Fee Model: How to Estimate a Trading Bot’s Real Fee Rate
CryptoRebateHub Editorial Team
Estimate a weighted fee rate from the real maker/taker fill mix and connect passive-fill rate to strategy capacity.
Direct answer: If 70% of fills are maker and 30% are taker, the real fee rate should be volume-weighted. A limit order that executes immediately can still be charged as taker.
Why this deserves its own calculation
A bot’s maker share is not a fixed property. It moves with spread, volatility, queue position, cancel speed, and order size. Backtesting with an ideal maker fee systematically overstates net returns.
Core formula and decision framework
Weighted one-way fee = maker notional share × maker fee + taker notional share × taker fee. A round trip should model entry and exit roles separately.
- Weight by executed notional, not merely by order count.
- Post-only can reduce accidental taker fills, but may lower fill rate and increase opportunity cost.
- Stress-test at least normal, taker-heavy, and extreme-taker execution mixes.
Practical workflow
- Measure the last 1,000 fills or another representative sample.
- Calculate maker/taker notional shares and their actual fees.
- Model entry and exit separately, then add slippage.
- Check whether the strategy remains profitable if maker share falls by 10–20 percentage points.
Mistakes that distort the result
- Treating “limit order” as synonymous with maker.
- Weighting by order count while ignoring the fee impact of larger fills.
- Maximizing maker share with orders that rarely execute and miss the trade.
Related tools and guides
- Trading fee comparison tool
- Slippage calculator
- Rebate calculator
- Maker vs taker fee guide
- Break-even basis points for a crypto strategy
FAQ
Is post-only always cheaper?
No. It controls taker fees, but the opportunity cost of missed fills also belongs in the decision.
What maker share should I target?
There is no universal target. Optimize net returns, not the maker percentage itself.
Bottom line
Treat maker/taker as an execution outcome rather than an order label; the fee model will then resemble live trading.
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