There is a piece of infrastructure so fundamental to modern financial markets that most participants never think about it — until it's gone. Market making is that infrastructure. It is the continuous act of posting both buy and sell prices for an asset, enabling other participants to execute immediately at a quoted price rather than waiting indefinitely for a natural counterparty.
When market makers disappear — as happened briefly during the March 2020 COVID crash and again during the Terra Luna collapse — the results are catastrophic. Bid-ask spreads blow out to 5%, 10%, even 20%. Orders that should execute in milliseconds take minutes. Liquidations cascade because there is no liquidity to absorb selling pressure. Markets become dysfunctional.
Understanding how market making works gives you a genuine edge as a trader. It explains why certain assets have tighter spreads than others, why large orders move markets, and how to read the order book as a signal of near-term price direction.
The Basic Mechanics of Market Making
A market maker continuously posts limit orders on both sides of the order book — a bid (buy offer) slightly below the current mid-price, and an ask (sell offer) slightly above. The difference between these two prices is the spread. This spread is the market maker's gross revenue per unit of volume — they buy at the bid, sell at the ask, and pocket the difference.
In practice, this is far more complex than it sounds. The market maker is not simply collecting spread income — they are continuously managing a position that oscillates as their orders fill. Every time the market moves against them — when they buy at the bid and the price drops, or sell at the ask and the price rises — they take a loss. This is called adverse selection, and managing it is the central challenge of market making.
Adverse Selection: The Market Maker's Primary Enemy
Informed traders — those who trade because they have a directional view based on better information — are the primary source of adverse selection. When an institutional investor decides to buy a large amount of BTC because they have high conviction in a near-term price increase, they will systematically take the market maker's ask. The market maker sells, the price rises, and the market maker loses money.
Sophisticated market makers use statistical models to distinguish between informed and uninformed flow in real time. Uninformed traders (noise traders) buy and sell randomly, and their flow is profitable for the market maker over time. Informed traders systematically take advantage of the market maker's posted prices. By identifying and reducing exposure to informed flow, market makers protect their profitability.
Why Crypto Market Making Is Uniquely Challenging
- 24/7 operation across hundreds of venues simultaneously — there is no 'market close' to reset positions.
- Extreme volatility regime shifts that can make a tightly calibrated spread model instantly obsolete.
- Fragmented liquidity across dozens of CEXs, DEXs, and OTC desks, requiring sophisticated multi-venue inventory management.
- On-chain latency for DEX venues that makes real-time quote updates challenging compared to CEX co-location.
- Funding rate arbitrage opportunities that create complex cross-venue hedging requirements.
How StockHunt Approaches Market Making
Our market making infrastructure operates across 20+ trading venues simultaneously, managing a single unified inventory position that is hedged across all venues in real time. The core system runs on custom C++ with kernel-bypass networking, achieving sub-50 microsecond quote update latency on centralized venues.
Our quote generation model is a proprietary combination of a traditional Avellaneda-Stoikov stochastic inventory model and a machine learning layer that adapts the spread and quote depth in real time based on detected market regime. In high-volatility regimes, spreads widen automatically to account for increased adverse selection risk. In calm, trending markets, spreads tighten to capture more volume.
“The best market making is invisible. You know it's working when traders get filled instantly at fair prices without ever thinking about how that happened.”
Inventory Management: The Hidden Art
A market maker's real-time inventory position is the most critical variable they manage. If the market maker accumulates a large long position in BTC because there has been heavy selling pressure, they face directional risk — if BTC drops, their inventory loses value. Managing this requires a combination of skewing quotes (posting a slightly better ask than bid to attract buy orders and reduce inventory) and hedging on correlated venues or with derivatives.
At StockHunt, our inventory management engine treats our consolidated position across all venues as a single risk book, optimizing hedges across spot, perpetuals, and options markets in real time. This cross-venue view is something most smaller market makers simply don't have, and it gives us a meaningful efficiency advantage.
What This Means for the Markets You Trade In
For traders, the presence of professional market makers in a market is unambiguously positive. Tight spreads mean lower transaction costs. Deep order books mean large orders can be executed with minimal price impact. Consistent liquidity reduces the risk of being unable to exit a position when you want to.
When evaluating a new trading venue — particularly a DEX — pay close attention to the spread on your target pairs and the depth of the order book or liquidity pool. These metrics directly predict your all-in transaction cost. A protocol with a flashy interface but a 0.5% average spread on major pairs will cost you far more over time than a plain venue with 0.02% spreads.
Liquidity is not free — it is provided by sophisticated entities who are compensated through the spread they earn. Understanding their incentives helps you trade more intelligently and choose your venues more wisely.
