Quick answer

Market making KPIs measure whether liquidity is actually usable: bid-ask spread and order book depth show how tight and deep the market is, uptime and latency show reliability, traded volume and market share show impact, and PnL against cost shows whether the deal is sustainable. No single metric tells the full story, so define each KPI, its measurement method and its target in writing before the engagement starts.

What Market Making KPIs Are For

Market making means continuously quoting buy and sell orders so others can trade without moving the price too much. A market maker's performance is the quality of that liquidity over time, not a feeling about the chart. KPIs turn that into numbers a project can check, compare week to week and hold a provider to. Crypto market making usually runs on algorithms quoting around the clock, so the KPIs have to cover every hour, not only the hours the team is watching.

The Core Market Making KPIs

Six groups of metrics cover most of what a project needs to know about its market maker.

1. Bid-ask spread and order book depth

The spread is the gap between the highest buy price and the lowest sell price. Depth is how much size rests within a stated band around the mid price. Read them together: a very tight spread with almost nothing behind it is less useful than a slightly wider spread backed by real size.

2. Uptime and latency

Uptime is the share of time the market maker is actually quoting both sides. Latency is how quickly quotes update and orders execute after the market moves. Both should be written into the agreement as numbers rather than accepted as a vague "high uptime" claim.

3. Traded volume and liquidity turnover

Volume shows the activity the market maker supports, and turnover shows how quickly liquidity refreshes. The aim is volume with low slippage, not volume for its own sake. Volume without depth is a warning sign, not a success.

4. Market share and order flow participation

The market maker's share of total volume shows how much of the price discovery it actually supports. Transparent reporting on this lets a project compare real impact with claimed impact.

5. Profit and loss (PnL) and return on investment (ROI)

Check whether the arrangement is sustainable: what you pay for the service against the liquidity benefit you get, and how the inventory you provided has performed. A deal that only works for one side will not last.

6. Responsiveness and adaptability

Good market makers adjust as volatility, order book conditions and token events change. Judge this by how quickly spread and depth recover after a large move, and how promptly reporting reflects what happened.

How to Measure Market Maker Performance

A KPI is only useful if both sides measure it the same way. Agree these definitions before the first report.

Spread. Sample it at fixed intervals across the full day, then report the average and the worst periods, not a single snapshot.

Depth. State the band around mid and the currency, for example size on each side within a set percentage of the mid price. Without the band, a depth number cannot be compared.

Uptime. Define the time window, the timezone and what counts as "quoting": both sides present, at or above an agreed minimum size.

Volume and market share. Report per venue and per pair, and separate the market maker's own fills from total pair volume.

Exchange tests. If an exchange has given you its own liquidity test, measure against that definition first. The questions to ask a venue are listed in CEX listing requirements: questions to ask before listing.

What Is Market Maker Uptime?

Market maker uptime is the percentage of an agreed time window during which the market maker keeps live, two-sided quotes on the book at or above the agreed size. It matters because liquidity that disappears for an hour can fail an exchange's review or leave holders trading into an empty book. Ask for the uptime target, the measurement window and how exchange outages are counted, and get all three in the contract.

Monitoring and Reporting

Work with market makers that offer real-time dashboards or frequent reports covering spread, depth, volume, uptime, latency and PnL. Benchmark against your own baseline and, where possible, against comparable projects. Set explicit thresholds upfront, such as a maximum acceptable spread and a minimum uptime, so evaluation is not a subjective argument later. What a good report contains is covered in what a crypto market making report should show.

KPI Reference

Bid-ask spread. The gap between buy and sell prices. Tighter usually means more liquid, but only with real depth behind it.

Order book depth. The size available within a stated band of the mid price. It matters as much as the spread.

Uptime. The share of time the market maker is actively quoting both sides. Put an explicit target in the contract.

Latency. How fast quotes update and orders execute. Lower is better.

Traded volume. Useful in context, not as a standalone success metric.

Market share. The share of total volume attributable to the market maker.

PnL and ROI. Net result of the arrangement relative to its cost.

Responsiveness. How quickly the market maker adapts when conditions change.

Best Practices for Measuring Market Making Effectiveness

Align KPIs with your project's goals and the exchange tests you face rather than copying a generic template. Use real-time monitoring rather than relying only on periodic manual reports. Review thresholds as market conditions change. Combine the numbers with qualitative checks such as compliance standing, transparency and communication. Treat any external benchmark as a reference point, not a guarantee.

Conclusion

Measuring market making effectiveness starts before the first trade: agree which KPIs matter, how each one is measured and what the targets are, then check them every week against the same definitions. Spread and depth together show whether liquidity is real, uptime shows whether it is there when needed, and cost against benefit shows whether the arrangement is worth keeping. Those KPIs belong in the contract, as covered in the crypto market making agreement and SLA guide.

EasyMM reports spread, depth, uptime, volume and PnL with targets agreed upfront as part of its market making service. If an exchange is already measuring your pair against a warning threshold, see delisting help. Want KPI reporting on your token's liquidity? Talk to EasyMM.

Frequently Asked Questions

What are the most important market making KPIs?

Start with bid-ask spread and order book depth together, then uptime. Those three show whether liquidity is usable and whether it is there when traders need it.

How do you measure market maker performance?

Agree definitions first: how spread is sampled, which band depth is measured in, what counts as uptime. Then compare weekly reports against those definitions and against any test the exchange has set.

What is market maker uptime?

The percentage of an agreed time window during which the market maker keeps live two-sided quotes at the agreed minimum size. Ask for the target, the window and how exchange outages are treated, in writing.

How often should market making KPIs be reported?

Ideally continuously through a live dashboard, with a formal review at least weekly and after any major market event.

Can a market maker have strong KPIs and still not be the right fit?

Yes. Good spread, depth and uptime numbers do not reveal proprietary trading conflicts or unfavorable contract terms. KPIs are necessary but not sufficient.