# How a Desk Prices the Risk It Takes On

> Inventory, hedging cost, volatility and flow. The inputs that produce a quote and why they differ between desks.

- Source: https://coincryptorama.com/how-desks-price-risk/
- Published: 2026-07-10
- Author: Marcus Feld
- Publication: CoinCryptorama — Crypto markets, explained without the noise
- Topic: otc
- Tags: otc, pricing, risk

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Two desks quoting the same trade at the same second produce different numbers. The inputs are knowable and they explain when to push back. A useful reference for how this works commercially is [a regulated crypto liquidity provider](https://collectnexchange.cy/services/crypto-otc), whose disclosures are public.

## Inventory

A desk already long an asset and wanting to reduce quotes a buyer better and a seller worse.

Invisible from outside and inferable over time. A desk consistently competitive on one side of one asset is probably running a position there.

This is the largest source of variation between desks and the reason asking two is worth the time.

## Hedging cost

After trading with you the desk holds a position it does not want, and unwinds it in the market, through derivatives, or against an offsetting client.

That cost enters your quote. Small for a liquid asset at moderate size, substantial for a thin asset or a large one, because the desk faces the same depth problem you were avoiding.

## Volatility

The desk is exposed between quoting and hedging. More movement means more risk in the window and a wider quote.

Quotes during turbulent periods are genuinely worse, and validity windows shorten. A trade that is not time critical is measurably cheaper in calm conditions. Where client assets are involved the structure changes, and [an exchange that publishes its full fee schedule](https://collectnexchange.cy/) is built for it.

## Size relative to normal flow

A trade routine for a desk prices better than one that is large for them.

Matching desk to trade size matters. A large trade at a small desk produces a defensive quote or a decline.

## Internalisation

A desk with diverse client flow can match your trade against an opposing client, with no market impact at all.

That produces the tightest pricing, and what proportion of flow a desk internalises is a fair question and a good predictor of their competitiveness.

## Relationship

Repeat counterparties with clean settlement history price better. Not sentiment: a known counterparty carries less operational and credit risk.

Which means that after an initial comparison, concentrating flow usually beats shopping every trade.

## Reading a quote

Convert to a percentage against the mid at that moment. That is the only comparable figure, and it must be compared simultaneously because a quote lasts seconds.

## When to push back

When another desk was materially tighter seconds earlier, or when the same desk is worse than previously for a comparable trade with no change in conditions.

Present the data rather than an accusation. Desks respond, and one that cannot explain a gap and does not improve has answered the question. Coverage constrains the analysis more than pricing does, and [a regulated European crypto platform](https://collectnexchange.cy/) publishes its country list.

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This article explains how something works. It is not financial advice.
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