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Top Market Making Mistakes to Avoid in 2026
Market Making
4 min
WRITTEN BY
Georgii
Marketing Lead at EasyMM

Georgii is Marketing Lead at Easy MM with 6+ years of experience in Web3. Throughout his career, he has built marketing strategies for market makers, DeFi protocols, stablecoin projects, and crypto exchanges. He focuses on building marketing systems that help Web3 products scale.

LinkedIn Profile
Quick answer: The most common market-making mistakes are trading without event-risk controls, over-leveraging a single pair, letting inventory drift into a directional bet instead of staying neutral, refreshing quotes too slowly and getting picked off by faster traders, and skipping hard position limits. Most of these trace back to one root cause: treating market making as a set-and-forget strategy instead of an actively monitored, risk-managed operation.

Why These Mistakes Keep Happening

Market making looks passive from the outside — you're just quoting both sides of a book. In practice it's an active risk business, and most losses trace back to the same handful of preventable gaps rather than new or unusual failure modes. The mistakes below show up repeatedly across cycles; what changes is how fast they get punished, since order flow and bot-driven trading have only gotten faster.

The Core Mistakes

  • Ignoring event risk. Quoting tight spreads through major announcements without a news filter or pause mechanism leads to getting run over during volatility spikes.
  • Over-leveraging a single pair. Deploying too much capital into one position risks forced liquidation; sizing and gradual scaling matter more than chasing maximum depth on day one.
  • Letting inventory imbalance turn into a directional bet. If your holdings drift and you don't skew your quotes to correct it, you've quietly stopped market making and started speculating.
  • Slow quote refresh. Stale quotes get picked off by faster, better-informed traders — this is adverse selection, and it's one of the most persistent sources of quiet losses.
  • No backtesting or stress-testing. Bots and algos that haven't been tested against real crash scenarios tend to fail in exactly those scenarios.
  • Concentrating liquidity in low-volume hours or venues. Thin conditions trap positions and widen effective spreads without anyone noticing until it's expensive.
  • Underestimating token-launch volatility. New listings move harder and faster than mature pairs; bootstrapping liquidity too thin invites exactly the chaotic price action a launch needs to avoid.
  • No hard position limits. Without enforced caps, a losing position can grow well past what any risk plan intended.
  • Static spreads. Fixed spread rules that don't adapt to volatility get punished hard when conditions shift quickly.
  • Siloed monitoring. Watching only your own order book, without tracking venue-wide activity and relevant news flow, means finding out about problems after they've already cost money.

2026 Context

Trading volumes and the speed of bot-driven order flow have both increased this cycle, which raises the cost of every mistake on this list. None of them are new — what's changed is how little time there is to notice and correct one before it compounds.

A Practical Prevention Checklist

  • Audit your own trading bots and algos on a regular schedule, not just after something goes wrong.
  • Set explicit depth and spread thresholds per venue, and alert on breaches.
  • Stress-test strategies against real historical crash scenarios, not just smooth market conditions.
  • Diversify across enough pairs and venues that no single point of failure can take down the whole book.
  • Track real risk metrics — drawdown and inventory skew, not just headline P&L.

Where EasyMM Fits

This operational discipline — explicit risk limits, live monitoring, stress-tested strategies — is exactly what we build into managed market making for clients. Market making isn't a strategy you set once; it's a process that needs active risk management every day it's running.

Frequently Asked Questions

What's the single biggest market-making mistake?

Not having a real answer for what happens during a volatility spike — no automated pause or event-risk control, so tight spreads keep quoting straight into a move that punishes them.

Can a good market maker still lose money?

Yes, especially during genuine volatility shocks. The goal of a disciplined process isn't zero losses — it's keeping losses contained and explainable instead of open-ended.

How often should market-making performance be reviewed?

Monitoring should be continuous in practice, with a formal review at least weekly and an immediate one after any major market event affecting your token or venue.

Is manual market making viable in 2026?

Only at very small scale. Given how fast modern order flow moves, most serious operations need automated, actively monitored systems rather than manual quoting.

Want these risk controls built into your token's liquidity from day one? Talk to EasyMM about managed market making.