Why Token Projects Lose Money with the Wrong Market Maker
Most token projects think about market making wrong. They treat it as a liquidity checkbox — something you do so the exchange will list you, or so your token doesn't look dead. They hire a market maker, hand over a loan of their tokens, and move on.
Six months later, the market maker has dumped half the loan into the market, the spread is 8%, volume is fake, and the project has paid $20,000/month for a service that made their token worse.
This happens constantly. Here's why, and how to avoid it.
The Loan Structure Problem
The standard market making arrangement for token projects is a token loan. The market maker borrows your tokens, uses them to quote both sides of the market, and returns them at the end of the contract. They charge a monthly fee on top.
The problem is the incentive structure this creates. A market maker with a token loan has two ways to profit:
- Legitimate: Capture spread on round-trip trades
- Illegitimate: Sell the borrowed tokens when price is high, buy back cheaper later, pocket the difference
Option 2 is called loan dumping. It's technically legal in most jurisdictions, it's very common, and it will destroy your token's price.
The tell: you hired a market maker, your volume went up, but your price went down faster than the market overall. Your "liquidity" is actually structured exit liquidity for the market maker.
What to look for in the contract:
- Is the loan size proportional to actual liquidity needs? (A $10M market cap token does not need a $500K token loan)
- Can the market maker trade with the loan against any counterparty, or only to quote the order book?
- What happens to the loan tokens if the market maker's internal inventory gets short?
- Is there a mark-to-market reconciliation? (If not, they can hold a loss position silently)
Fake Volume — The Wash Trading Trap
Many market makers offer "volume guarantees." $1M/day, $5M/day, whatever number you need to hit exchange tier requirements. This volume is often wash traded — the market maker buys and sells with themselves, creating the appearance of activity with no actual external participants.
Wash trading is:
- Against the rules of most exchanges (though poorly enforced)
- Detectable by sophisticated on-chain analysis
- Useless for actual price discovery or token health
More importantly: it trains you to optimize for the wrong metric. Volume from wash trading tells you nothing about actual interest in your token. When the market maker leaves and the wash trading stops, your "volume" collapses, and you've paid months of fees for a metric that doesn't matter.
The real metric you want: Organic volume — trades initiated by external market participants, not by the market maker's own bots trading against themselves. This is harder to measure but far more meaningful.
How to check: Look at the trade history on-chain (for DEX pairs) or ask for a breakdown of counterparty categories. A healthy market has many different addresses/counterparties. A wash-traded market has 2-5 addresses trading in circular patterns.
Spread — The Invisible Tax on Your Community
Wide spreads hurt everyone who trades your token. When someone buys $1,000 of your token at a 3% spread, they immediately have $970 in value — they've paid $30 just to enter a position. When they sell, they lose another $30. A round-trip costs $60, or 6% of their position.
This is a tax on your community every time they trade. It discourages participation, increases perceived risk, and signals to sophisticated traders that the token is illiquid and risky.
Market makers who are not managing their inventory well will widen spreads as a defensive measure. When they're holding too much of your token, they widen the ask (to sell more aggressively) and widen the bid (to stop accumulating). The result is worse prices for your community while the market maker manages their own exposure.
What good spreads look like for your market cap:
| Market Cap | Target Spread |
|---|---|
| <$1M | 0.5 - 1.0% |
| $1M - $10M | 0.2 - 0.5% |
| $10M - $100M | 0.1 - 0.3% |
| >$100M | 0.05 - 0.15% |
If your market maker is running spreads 3-5x wider than these benchmarks, either their strategy is broken or they're prioritizing their own inventory management over your token's health.
Red Flag Checklist
Before signing a market making contract, ask these questions. If you get evasive answers, walk away.
On the loan:
- What is the maximum token loan size and why?
- Can I audit your on-chain positions in real-time?
- What are the conditions under which you can sell the loaned tokens?
- How is the loan reconciled at contract end?
On volume:
- How do you define "volume" in your guarantee?
- What percentage of that volume is organic vs. self-generated?
- Can I see historical trade data broken down by counterparty type?
On spreads:
- What spread are you targeting for my token?
- How does that change under high volatility?
- What triggers you to widen spreads without notice?
On reporting:
- Do I get real-time access to my own order book data?
- What does the monthly report include?
- Can I independently verify your P&L reporting?
On exit:
- What happens to the loan if I terminate early?
- How long is the notice period to exit the contract?
- Is there a token price floor below which you can exit without penalty?
What Good Market Making Looks Like
A good market maker for a token project does three things well:
1. Maintains tight spreads consistently Not just when volume is high or market conditions are easy. Tight spreads in normal conditions, with transparent, pre-agreed widening rules during extreme volatility.
2. Keeps inventory neutral They don't accumulate large directional positions in your token. Their job is to capture spread, not to speculate. You should be able to verify this on-chain.
3. Reports honestly Real volume (organic, verifiable), real spreads (time-weighted average, not cherry-picked snapshots), real P&L. If you can't independently verify what they're telling you, that's a problem.
The Self-Custody Option
For projects under $10M market cap, it's worth considering running your own market making operation. The barrier to entry is lower than you think.
OpenMM's grid strategy can be deployed with a fraction of the capital a third-party market maker would require. You keep custody of your tokens, you see exactly what's happening in real time, and you don't pay $10-30K/month in fees.
The trade-offs: you need someone technical to configure and monitor it, you don't get the depth that a professional market maker brings, and you're responsible for your own risk management.
For very small projects, the cost-benefit often favors self-custody. A $5M market cap project paying $15K/month for market making is paying 3.6% of its market cap per year just for liquidity — that's a significant drag.
Tools we've built for this:
- OpenMM Core SDK — open-source market making engine, multiple strategies, multi-exchange: github.com/QBT-Labs/openmm
- OpenMM MCP Server — control your market making via AI agents: mcp.openmm.io
Both are MIT licensed. No monthly fees. You run your own infrastructure.
Summary
The wrong market maker costs you in three ways: token price suppression from loan dumping, wasted fees on fake volume, and a tax on your community from wide spreads.
Protect yourself by:
- Reading the contract carefully — especially the loan and exit terms
- Demanding on-chain verifiability of their positions and volume
- Comparing spreads against market cap benchmarks for your size
- Considering self-custody for smaller projects
Market making is not magic. It's a well-understood process that, done correctly, improves your token's trading environment and, done poorly, extracts value from your community and treasury.
Know what you're paying for.
Related Reading
- Crypto Market Making Pricing Guide: What It Really Costs in 2026 — Detailed breakdown of retainer models, token loans, and benchmarks
- What Token Projects Should Know Before Engaging a Market Maker — Due diligence framework for evaluating MM proposals
- Market Making Services — Professional liquidity provision by QBT Labs
Questions? Reach out at [email protected] or find us on X @QBTLabs.
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