{"id":158,"date":"2026-04-27T14:54:15","date_gmt":"2026-04-27T14:54:15","guid":{"rendered":"https:\/\/hetha.io\/blog\/?p=158"},"modified":"2026-04-27T15:04:56","modified_gmt":"2026-04-27T15:04:56","slug":"why-crypto-arbitrage-profit-is-miscalculated","status":"publish","type":"post","link":"https:\/\/hetha.io\/blog\/why-crypto-arbitrage-profit-is-miscalculated\/","title":{"rendered":"Why Crypto Arbitrage Profit Is Miscalculated"},"content":{"rendered":"\n

When evaluating crypto arbitrage profitability, most traders focus on the spread. If a chain shows 0.2%, the question seems simple: is it enough or not.<\/p>\n\n\n\n

In reality, this number often has little to do with what you will actually earn.<\/p>\n\n\n\n

The issue is not execution or latency \u2014 those come later. The main distortion appears earlier, at the stage of how arbitrage profit is calculated. For a detailed breakdown of how fee structures and discounts actually work, see our previous article<\/a>.<\/p>\n\n\n\n

Most systems, including ours, estimate profitability using standard taker fees. This is done intentionally, as it provides a stable and consistent baseline. But in practice, crypto arbitrage trading does not operate under these assumptions.<\/p>\n\n\n\n

The Core Problem: Profit Is Calculated Under Unrealistic Conditions<\/strong><\/h2>\n\n\n\n

The problem is not that fees change. The problem is that profit is calculated using conditions that almost never exist in real execution.<\/p>\n\n\n\n

A typical arbitrage estimate assumes fixed fees, consistent execution type, and identical cost at every step. None of these hold in practice.<\/p>\n\n\n\n

Why Fee Assumptions Break Down<\/strong><\/h2>\n\n\n\n

Even when using limit orders, the outcome is not fixed. A limit order can sit in the order book and execute as a maker, or it can match existing liquidity and behave as a taker. As a result, execution naturally becomes mixed over time.<\/p>\n\n\n\n

This means that trading fees in arbitrage are not constant. They depend on how orders interact with the order book at the moment of execution.<\/p>\n\n\n\n

On top of that, fee levels themselves are dynamic. They depend on trading volume and change in tiers. Moving to a different level can significantly alter the cost structure of a strategy.<\/p>\n\n\n\n

\"Fee<\/figure>\n\n\n\n

Fee levels change non-linearly with trading volume<\/p>\n\n\n\n

At higher volumes, maker fees can approach zero and in some cases even become negative. This does not make arbitrage \u201cfree\u201d, but it changes the overall cost profile of execution.<\/p>\n\n\n\n

Why This Leads to Mispricing of Arbitrage Opportunities<\/strong><\/h2>\n\n\n\n

When profit is calculated using standard taker fees, the result reflects a worst-case scenario.<\/p>\n\n\n\n

In real trading conditions:<\/p>\n\n\n\n

    \n
  • part of execution benefits from lower maker fees<\/li>\n\n\n\n
  • overall fee levels decrease with volume<\/li>\n\n\n\n
  • effective costs differ from initial assumptions<\/li>\n<\/ul>\n\n\n\n

    As a result, the same arbitrage chain can produce a different outcome without any change in the market itself.<\/p>\n\n\n\n

    A setup that appears marginal or unprofitable under standard assumptions may become viable once actual execution conditions are applied.<\/p>\n\n\n\n

    The market has not changed. Execution logic has not changed. Only the cost model has changed.<\/p>\n\n\n\n

    Why Traders Misjudge Arbitrage<\/strong><\/h2>\n\n\n\n

    Many traders treat arbitrage profit as a direct result of price differences, while fees are seen as a secondary factor. In practice, fees are part of the structure that determines whether an opportunity exists at all.<\/p>\n\n\n\n

    Two traders can look at the same 0.2% chain and reach different conclusions:<\/p>\n\n\n\n

      \n
    • one evaluates it using fixed assumptions and ignores it<\/li>\n\n\n\n
    • the other accounts for real execution conditions and trades it<\/li>\n<\/ul>\n\n\n\n

      From the outside, this may look like better execution. In reality, it is simply a different model of costs.<\/p>\n\n\n\n

      How This Is Handled in HETHA<\/strong><\/h2>\n\n\n\n

      In HETHA, displayed profit is always nominal and does not include fee adjustments. This is intentional.<\/p>\n\n\n\n

      Trading fees depend on account-specific factors such as volume, exchange tier, and execution behavior. There is no single model that can represent all users accurately.<\/p>\n\n\n\n

      \"Comparison<\/figure>\n\n\n\n

      Fee structures differ across exchanges at the same volume level<\/p>\n\n\n\n

      Instead, fee behavior is treated as a separate layer that can be configured based on actual conditions. This allows traders to model real execution costs rather than rely on simplified assumptions.<\/p>\n\n\n\n

      If arbitrage is evaluated purely based on nominal spread, the calculation is effectively based on conditions that rarely exist in practice. This approach is safe, but it does not reflect real trading behavior.<\/p>\n\n\n\n

      At scale, this difference becomes critical \u2014 it often determines whether an arbitrage strategy is viable or not.<\/p>\n","protected":false},"excerpt":{"rendered":"

      When evaluating crypto arbitrage profitability, most traders focus on the spread. If a chain shows 0.2%, the question seems simple: […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[1],"tags":[],"class_list":["post-158","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/posts\/158","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/comments?post=158"}],"version-history":[{"count":3,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/posts\/158\/revisions"}],"predecessor-version":[{"id":163,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/posts\/158\/revisions\/163"}],"wp:attachment":[{"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/media?parent=158"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/categories?post=158"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hetha.io\/blog\/wp-json\/wp\/v2\/tags?post=158"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}