Exchanges, brokers and liquidity · Lesson 2 of 5
Liquidity, market making and market integrity
8 min read
Liquidity is what lets a fund, a treasury or a customer turn a position into cash at a fair price. In digital asset markets much of it is supplied by a small number of market makers working under private contracts, and the same thin, fragmented markets that need them are also easy to manipulate. Knowing how liquidity is bought, measured and faked is basic due diligence for anyone who trades, lists or values tokens.
What a market maker does
A market maker quotes buy and sell prices at the same time and earns the difference, the spread, while managing the inventory it builds up. In crypto, a market maker typically quotes the same token on many exchanges at once, hedges with perpetual swaps where they exist, and moves inventory between venues to keep prices aligned.
For a large asset such as bitcoin, competition among many market makers keeps spreads tight without anyone paying for it. For a newly launched token, no firm will commit capital to quoting an unknown asset for free, so the issuer (the project or its foundation) hires one. Exchanges also often require a committed market maker before they list a token.
Market maker agreements
Two contract models dominate.
Retainer model. The issuer pays a monthly fee and usually supplies both tokens and stablecoins as inventory. The market maker operates the inventory under agreed performance targets and returns it at the end. The issuer keeps the economic exposure, which keeps incentives fairly simple.
Loan and call option model. The issuer lends tokens to the market maker, often with no fee, and grants it call options: the right to buy those tokens at fixed prices, called strikes, at the end of the term. At expiry the market maker either returns the tokens or exercises the options and pays the strike price.
A worked example: an issuer lends 2,000,000 tokens, 1% of total supply, for 12 months, with call options at strikes of 0.50, 0.75 and 1.00 dollars on one third each. If the token trades at 1.20 at expiry, the market maker exercises all three, pays 1.5 million dollars and keeps tokens worth 2.4 million. If the token trades at 0.30, it simply returns the tokens. The market maker gains from volatility and from any rise in price, and nothing stops it from selling borrowed tokens early to hedge, which adds selling pressure exactly when a new token is most fragile.
| Term | What to check |
|---|---|
| Loan size and tenor | Share of circulating supply; whether it is disclosed in the token's supply schedule |
| Option strikes | How far above the launch price; who benefits from volatility |
| Performance targets | Quoting uptime (for example 90% of the time), maximum spread (for example 2%), minimum depth on each side |
| Venues | Which exchanges are covered, and whether any belong to affiliates |
| Reporting | Daily or weekly reports of quotes, trades and inventory, ideally checkable against exchange data |
| Prohibited conduct | An explicit ban on wash trading and on trading on the issuer's non-public information |
| Termination | Return of tokens, unwinding of options, and what happens if either party fails |
Undisclosed market maker loans distort the picture investors see: tokens counted as "locked" or held by the treasury may in fact be in a trader's hands. The supply metrics affected are explained in the lesson The digital asset market at a glance.
Measuring liquidity quality
Reported trading volume is the least reliable liquidity figure, because it is the easiest to fake. Professionals rely on order book measures instead:
- Spread, in basis points (one basis point is 0.01%): a bid of 99.90 and an ask of 100.10 is a 20 basis point spread.
- Depth: the value of orders resting within a band around the mid-price, commonly ±1% or ±2%. A token with 50,000 dollars of depth within 2% cannot absorb a 500,000 dollar sale without a large price move.
- Slippage for a given size: the average price an order of, say, 100,000 dollars would get against the visible book, compared with the mid-price.
- Resilience: how quickly depth comes back after a large trade.
- Volume-to-depth ratio: very high daily volume against thin depth is a classic sign that the volume is not real.
Order book mechanics behind these measures are covered in the lesson Trading venues, order books and price discovery.
Wash trading and fake volume
Wash trading means trading with yourself, or with a colluding party, so that volume appears without any change in ownership. Issuers and exchanges do it to climb data-site rankings, to meet exchange listing criteria and to attract real traders. An academic study, "Crypto Wash Trading" by Lin William Cong, Xi Li, Ke Tang and Yang Yang (Management Science, 2023), estimated that wash trading averaged more than 70% of reported volume on the unregulated exchanges in its sample. Warning signs include trade sizes that repeat suspiciously, volume that does not move the price, and trades that cluster at the exact same timestamps across accounts.
The best-known enforcement case is Operation Token Mirrors, unsealed in October 2024 by the US Attorney's Office for the District of Massachusetts with the FBI and the SEC. The FBI created its own token, NexFundAI, and recorded firms that presented themselves as market makers offering to wash-trade it. Eighteen individuals and companies were charged, including four firms marketed as market makers. The founder of one of them, Gotbit, pleaded guilty and was sentenced in June 2025, and the firm agreed to forfeit about 23 million dollars in crypto.
Spoofing, layering and pump-and-dump
Spoofing is placing large orders with no intention of letting them execute, to create a false impression of supply or demand, and cancelling them before they trade. Layering is a variant: several orders at different price levels on one side of the book while the manipulator trades on the other side. Surveillance looks for high order-to-trade ratios, orders cancelled within milliseconds of the price approaching them, and accounts that profit consistently from the moves those orders cause.
A pump-and-dump combines buying a thinly traded token, promoting it through social media, paid influencers or chat groups, and selling into the buying that follows. In crypto, the promoters often hold large allocations from the token launch, so the "dump" can be a pre-planned exit.
Front running and insider listing trades
Front running is trading ahead of a known pending order: a broker or market maker who sees a large client buy order coming buys first and sells to the client at a higher price. Insider trading in crypto most often involves listing announcements, because tokens tend to jump when a major exchange announces a listing.
In the first US criminal insider trading case involving crypto, a former Coinbase product manager, Ishan Wahi, passed confidential information about upcoming listings to his brother and a friend, who traded ahead of the announcements between June 2021 and April 2022. He pleaded guilty to wire fraud conspiracy and was sentenced in May 2023 to two years in prison.
Controls a venue or broker should be able to show:
| Risk | Control |
|---|---|
| Listing leaks | Need-to-know lists for listing decisions, staff trading bans before announcements, monitoring of on-chain wallets linked to staff |
| Front running | Information barriers between client order flow and proprietary trading; pre-clearance of staff trades |
| Wash trading by clients or market makers | Detection of self-matching, linked-account analysis, self-trade prevention in the matching engine |
| Spoofing and layering | Order-to-trade ratio alerts, cancel-pattern analytics, review of accounts profiting from cancelled orders |
Market abuse rules: the common baseline
The international baseline is IOSCO's Policy Recommendations for Crypto and Digital Asset Markets (16 November 2023). Three of its 18 recommendations deal with market integrity: regulators should take enforcement action against fraud and market abuse in crypto-asset markets, including manipulation and insider dealing (Recommendation 8), require crypto-asset service providers to run market surveillance (Recommendation 9), and require firms to manage material non-public information, such as upcoming listings (Recommendation 10). IOSCO also calls for cross-border cooperation, because the same token trades on venues in many countries.
Jurisdictions implement this in two ways. Some write a dedicated crypto market abuse regime modeled on securities law; the EU's MiCA regulation, for example, defines inside information, prohibits insider dealing and manipulation, and requires anyone professionally arranging or executing crypto transactions to detect and report suspicious orders and transactions. Others rely on general fraud, securities or commodities law, which is how the Token Mirrors and Coinbase cases above were brought. Either way, a firm is expected to show the surveillance and controls in the table above, and to report suspicious activity to its authority.
Exam focus: why issuers hire market makers and the two main contract models (retainer versus loan and call option); how call option strikes shape a market maker's incentives and why undisclosed loans distort supply data; spread, depth within ±1% or ±2%, slippage for a given size and the volume-to-depth ratio as better measures than reported volume; definitions and warning signs of wash trading, spoofing, layering and pump-and-dump; Operation Token Mirrors (October 2024, FBI token NexFundAI); front running and insider listing trades (Coinbase case, sentenced May 2023); IOSCO's 2023 recommendations on market abuse, surveillance and non-public information, and the duty to detect and report suspicious orders and transactions.
Practice questions
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