{"id":14371,"date":"2026-10-12T09:18:47","date_gmt":"2026-10-12T09:18:47","guid":{"rendered":"https:\/\/cryptonews.uk.com\/?p=14371"},"modified":"2026-10-12T09:18:47","modified_gmt":"2026-10-12T09:18:47","slug":"solana-sandwich-bots-took-29-7-m-before-costs","status":"publish","type":"post","link":"https:\/\/cryptonews.uk.com\/?p=14371","title":{"rendered":"Solana sandwich bots took $29.7 M before costs"},"content":{"rendered":"<p><\/p>\n<div data-cs-editorial-figure-scope=\"\" data-cs-editorial-quote-scope=\"\" data-cs-image-viewer-scope=\"\" data-single-article-content=\"\">\n<p>Sandwich bots extracted about $29.7 million before costs from Solana trades over an 11-month period, according to blockchain data provider Bitquery. It found 96% of detected attacks on memecoin platform Pump.fun&#8217;s launch curve and its PumpSwap exchange.<\/p>\n<p>The investigation, covering successful swaps, counted 6,850,144 attacks by 2,545 bot wallets affecting 2,154,994 distinct wallets between October 30, 2025, and October 7, 2026. Those addresses do not represent a count of individual people: other bots&#8217; trades accounted for 39% of the estimated gross take.<\/p>\n<p>A sandwich places a bot&#8217;s purchase and sale around another trader&#8217;s swap. The first purchase raises the pool price; the intervening buyer receives fewer tokens, and the bot sells into the higher price. The cost reaches the trader through execution, even when the swap completes successfully.<\/p>\n<div class=\"cs-article-embed\">\n<p> <span class=\"cs-article-embed__related-reading\">Related Reading<\/span><\/p>\n<h3 class=\"cs-article-embed__title\">A tiny cluster of Solana bots unlocked a 3x trading advantage by routing through one proprietary protocol<\/h3>\n<\/p>\n<p> <span class=\"cs-article-embed__arrow\" aria-hidden=\"true\"> <i class=\"fa-light fa-arrow-up-right\"\/> <\/span> <\/div>\n<h2>Wide slippage marked greater exposure<\/h2>\n<p>Among trades sent by swap router Jupiter through Pump.fun&#8217;s launch curve or PumpSwap, trades allowing 20%\u201350% slippage were sandwiched 14 times as often as those allowing under 3%, Bitquery found.<\/p>\n<p>Slippage tolerance sets how far execution can depart from a quote. Jupiter&#8217;s documentation describes a minimum acceptable output after applying that tolerance. A price move beyond the limit can cause a swap to fail; a wider limit permits a worse fill. That creates a tradeoff between completing a volatile trade and limiting the price concession accepted along the way.<\/p>\n<p>The observed attack rates did not rise uniformly with every wider setting. Trades below 0.5% tolerance were hit more often than those at 1%\u20133%, while the 50%-or-more band was hit less often than the 20%\u201350% band.<\/p>\n<aside id=\"cs-inline-newsletter-1\" class=\"cs-inline-newsletter cs-newsletter-brand\" data-newsletter-edition=\"catalyst\" data-inline-newsletter=\"\" data-newsletter-placement=\"article-midpoint\" aria-labelledby=\"cs-inline-newsletter-1-title\" aria-describedby=\"cs-inline-newsletter-1-copy\">\n<div class=\"cs-inline-newsletter__inner\">\n<div class=\"cs-inline-newsletter__content\">\n<div class=\"cs-inline-newsletter__editorial\">\n<p class=\"cs-inline-newsletter__eyebrow\">The Catalyst<\/p>\n<p class=\"cs-newsletter-frequency\">Daily Newsletter<\/p>\n<h2 id=\"cs-inline-newsletter-1-title\" class=\"cs-inline-newsletter__title\">Know what\u2019s moving crypto.<\/h2>\n<p id=\"cs-inline-newsletter-1-copy\" class=\"cs-inline-newsletter__copy\">Start with the stories that matter. Get the context behind the headlines and a clear view of what to watch next.<\/p>\n<\/div>\n<div class=\"cs-inline-newsletter__art\" aria-hidden=\"true\"> <img loading=\"lazy\" src=\"https:\/\/cryptoslate.com\/wp-content\/themes\/cryptoslate-2020\/images\/catalyst-newsletter-scrapbook-v3.webp\" alt=\"\" width=\"640\" height=\"640\" loading=\"lazy\" decoding=\"async\"\/><img loading=\"lazy\" class=\"lazyload\" src=\"https:\/\/cryptoslate.com\/wp-content\/themes\/cryptoslate-2020\/images\/catalyst-newsletter-scrapbook-v3.webp\" alt=\"\" width=\"640\" height=\"640\" loading=\"lazy\" decoding=\"async\"\/><\/div>\n<\/div>\n<\/div>\n<\/aside>\n<p><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"aligncenter shoggoth-infographic shoggoth-infographic-portrait wp-image-571252\" src=\"https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7.png\" alt=\"Bitquery observed sandwich victim rates per 10,000 Jupiter swaps through Pump.fun or PumpSwap, October 30, 2025\u2013October 7, 2026: exact quote 36; under 0.5% slippage 27; 0.5%\u20131% 17; 1%\u20133% 8; 3%\u201310% 44; 10%\u201320% 87; 20%\u201350% 148; 50% or more 33. Observational comparison; lower tolerance does not guarantee protection.\" width=\"720\" height=\"900\" srcset=\"https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7.png 1122w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-240x300.png 240w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-819x1024.png 819w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-768x960.png 768w\" sizes=\"auto, (max-width: 720px) 100vw, 720px\"\/><img loading=\"lazy\" loading=\"lazy\" decoding=\"async\" class=\"lazyload aligncenter shoggoth-infographic shoggoth-infographic-portrait wp-image-571252\" src=\"https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7.png\" alt=\"Bitquery observed sandwich victim rates per 10,000 Jupiter swaps through Pump.fun or PumpSwap, October 30, 2025\u2013October 7, 2026: exact quote 36; under 0.5% slippage 27; 0.5%\u20131% 17; 1%\u20133% 8; 3%\u201310% 44; 10%\u201320% 87; 20%\u201350% 148; 50% or more 33. Observational comparison; lower tolerance does not guarantee protection.\" width=\"720\" height=\"900\" srcset=\"https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7.png 1122w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-240x300.png 240w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-819x1024.png 819w, https:\/\/cryptoslate.com\/wp-content\/uploads\/2026\/10\/exec-d29e5daf-b5c1-4400-ad18-914abdd705c7-768x960.png 768w\" data-sizes=\"(max-width: 720px) 100vw, 720px\"\/><\/p>\n<p>The slippage comparison is observational and covers Jupiter routes through Pump.fun&#8217;s launch curve or PumpSwap. Jupiter carried only a small share of all victim trades in the investigation.<\/p>\n<div class=\"cs-article-embed\">\n<p> <span class=\"cs-article-embed__related-reading\">Related Reading<\/span><\/p>\n<h3 class=\"cs-article-embed__title\">Solana\u2019s 300ms speed boost to outrun trading bots might come with a hidden cost<\/h3>\n<\/p>\n<p> <span class=\"cs-article-embed__arrow\" aria-hidden=\"true\"> <i class=\"fa-light fa-arrow-up-right\"\/> <\/span> <\/div>\n<p>The $29.7 million estimate values SOL at the minute of each attack and does not measure net profit. In Bitquery&#8217;s separate 63-attack fee sample, bots retained 68% of aggregate gross proceeds, and 18 attacks lost money after costs. That sample does not establish net earnings for the full period. The report also identifies inconsistent Pump.fun sale-fee recording that affects its gross estimate by about 3%.<\/p>\n<p>Bitquery used repeated trading patterns to identify bots, excluded round trips beginning in a token&#8217;s first 10 slots, and reports gaps in exchange and block coverage. Chain records cannot prove a bot saw an order beforehand, and some qualifying wallets may be fast traders.<\/p>\n<div class=\"cs-article-embed\">\n<p> <span class=\"cs-article-embed__related-reading\">Related Reading<\/span><\/p>\n<h3 class=\"cs-article-embed__title\">Solana DEX volume spike hides circular trades, and automated bots are blamed<\/h3>\n<\/p>\n<p> <span class=\"cs-article-embed__arrow\" aria-hidden=\"true\"> <i class=\"fa-light fa-arrow-up-right\"\/> <\/span> <\/div>\n<p>Slippage limits address the price a trader will accept. A separate research preprint submitted September 23, 2026 examined protected order flow, meaning transactions intended to be shielded from front-running, across six blockchains. Its authors found sandwich patterns extending across trades and blocks and concluded these protections can offer weaker guarantees than users expect.<\/p>\n<\/div>\n<p>Featured,Research,Trading,memecoins,Pump.fun,PumpSwap,Solanamemecoins,Pump.fun,PumpSwap,Solana#Solana #sandwich #bots #costs1791796727<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sandwich bots extracted about $29.7 million before costs from Solana trades over an 11-month period, according to blockchain data provider Bitquery. It found 96% of detected attacks on memecoin platform Pump.fun&#8217;s launch curve and its PumpSwap exchange. The investigation, covering successful swaps, counted 6,850,144 attacks by 2,545 bot wallets affecting 2,154,994 distinct wallets between October<\/p>\n","protected":false},"author":1,"featured_media":14372,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[8],"tags":[1739,1848,802,5949,7125,6335,152],"class_list":["post-14371","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ethereum","tag-bots","tag-costs","tag-memecoins","tag-pump-fun","tag-pumpswap","tag-sandwich","tag-solana"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.6 (Yoast SEO v26.6) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Solana sandwich bots took $29.7 M before costs - Crypto News: Latest Cryptocurrency News and Analysis<\/title>\n<meta name=\"description\" content=\"Solana sandwich bots extracted $29.7 million before costs, Bitquery estimates. 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