Liquidity Is Not Demand: Why Changing Your Market Maker Won’t Necessarily Fix Token Volume

Low token volume is a symptom. It is not a diagnosis.

When a token’s trading activity weakens, one of the quickest conclusions in Web3 is that the market maker is underperforming. Sometimes that is correct. Often it is incomplete.

A professional MM can improve spreads, depth, quoting consistency, cross-venue price alignment and execution. What it cannot do is permanently manufacture product demand, repair weak token utility, reverse structural sell pressure or create a community that genuinely wants to hold and trade the asset.

From my experience across project acquisition, market making, liquidity, exchange strategy and token launches, I prefer to separate the problem into layers before deciding what to change.

Start With the Distinction Most Teams Miss

Volume tells you how much changed hands. Liquidity tells you how efficiently a participant can trade. Demand tells you whether enough participants actually want to buy, hold, use or speculate on the asset.

Those three variables interact, but they are not interchangeable. A token can have visible volume and poor executable liquidity. It can have good liquidity but weak organic demand. It can also have genuine demand trapped behind wide spreads and shallow books.

The Five-Layer Diagnosis

1. Market quality

Before looking at a volume screenshot, I want to know what happens when a realistic order hits the book. Is the spread competitive? How much depth exists at 10, 50 or 100 basis points? What is the expected slippage for a $10K, $50K or $100K trade? How quickly does the book recover after volatility?

A token can show an acceptable top-of-book spread while having very little depth a few ticks away. That is why executable depth and slippage are more useful than a single headline number.

2. Venue quality and fragmentation

More listings are not automatically better. Liquidity inventory is finite. When a project spreads the same market-making resources across too many exchanges and pairs, books can become thinner rather than stronger.

The commercial implication is simple: listing on additional venues should improve access, distribution or market quality. If it merely divides the same liquidity across more books, the project may be optimizing for logos rather than execution.

3. Distribution

A market can be technically healthy and still inactive if the right participants are not reaching it. This is where KOLs, trading communities, exchange campaigns, wallets, ecosystem partnerships and regional user acquisition matter.

But distribution should be evaluated beyond impressions and registrations. The useful funnel is closer to: reach → qualified user → KYC → deposit → first trade → retained trading activity. If traffic arrives and does not convert, the bottleneck may sit deeper than awareness.

4. Organic demand

This is the question projects sometimes avoid: why should someone own this token today?

Utility, access, governance, yield, ecosystem participation, product adoption, narrative, speculation and catalysts can all create trading intent. An MM can make that intent easier to express. It cannot permanently substitute for the absence of it.

5. MM execution

Only after separating the layers above do I evaluate whether the market maker itself is failing. The mandate should be measurable: spread targets, depth bands, uptime, inventory constraints, venue coverage, reporting, cross-venue consistency and behavior during stress.

I would be cautious with an MM mandate defined mainly by a promised volume number. Market-quality KPIs create healthier incentives because they measure the trading environment rather than a headline that can be difficult to interpret.

A Practical Diagnostic Matrix

Case Study 1 — BTC vs ETH: Liquidity Can Diverge Even in the Same Market

Case Study 2 — OM: Liquidity Can Disappear Exactly When It Is Needed Most

Case Study 3 — Why Reported Volume Needs Context

The Post-TGE Decision Tree

What This Means Commercially

Viraj's Key Takeaways

1. Low volume is a symptom, not a diagnosis. Investigate before replacing the MM.
2. Measure execution quality. Depth, spread and slippage reveal what volume alone cannot.
3. Liquidity and demand are separate. An MM removes friction; it does not create product-market fit.
4. Venue strategy matters. More listings can fragment finite liquidity.
5. Stress resilience matters. A healthy book should be evaluated when markets are difficult, not only when they are calm.
6. Post-TGE health is cross-functional. Exchange, MM, GTM, tokenomics and distribution teams should operate against one market-health framework.