[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"article-5-ways-coinquant-is-built-for-ai-agents-zh":3,"article-related-5-ways-coinquant-is-built-for-ai-agents-zh":32,"series-industry-d1e74fd1-7cc0-448d-b37f-68d2dbd9b689":85},{"id":4,"slug":5,"title":6,"content":7,"summary":8,"source":9,"source_url":10,"author":11,"image_url":12,"cover_image":12,"category":13,"language":14,"translated_content":11,"related_article_id":15,"keywords":16,"key_takeaways":24,"views":28,"created_at":29,"published_at":30,"topic_cluster_id":31},"d1e74fd1-7cc0-448d-b37f-68d2dbd9b689","5-ways-coinquant-is-built-for-ai-agents-zh","5 個 CoinQuant 的 AI 代理設計","\u003Cp data-speakable=\"summary\">CoinQuant 把交易者和 AI 代理放進同一套系統，讓策略能直接建立、回測並執行。\u003C\u002Fp>\u003Cp>這份清單會幫你判斷，CoinQuant 到底是單純的無程式交易工具，還是已經朝代理經濟的基礎設施前進。看完 5 點，你可以更快決定它適不適合拿來做加密策略、代理工作流，或兩者一起用。\u003C\u002Fp>\u003Ctable>\u003Cthead>\u003Ctr>\u003Cth>項目\u003C\u002Fth>\u003Cth>規格 A\u003C\u002Fth>\u003Cth>規格 B\u003C\u002Fth>\u003C\u002Ftr>\u003C\u002Fthead>\u003Ctbody>\u003Ctr>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fcoinquant.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">CoinQuant\u003C\u002Fa>\u003C\u002Ftd>\u003Ctd>使用者規模\u003C\u002Ftd>\u003Ctd>15,000+ users\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI agent market\u003C\u002Ftd>\u003Ctd>結算金額\u003C\u002Ftd>\u003Ctd>$73 million\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>AI agent market\u003C\u002Ftd>\u003Ctd>交易筆數\u003C\u002Ftd>\u003Ctd>176 million transactions\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fwww.coinbase.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Coinbase\u003C\u002Fa> agentic wallets\u003C\u002Ftd>\u003Ctd>交易規模\u003C\u002Ftd>\u003Ctd>50 million+ transactions\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd>\u003Ca href=\"https:\u002F\u002Fwww.circle.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Circle\u003C\u002Fa> Agent Stack\u003C\u002Ftd>\u003Ctd>上線時間\u003C\u002Ftd>\u003Ctd>May 2026\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch2>1. 直接把策略語意變成可交易系統\u003C\u002Fh2>\u003Cp>CoinQuant 的核心不是\u003Ca href=\"\u002Fnews\u002Fgemini-live-connected-apps-android-zh\">讓你\u003C\u002Fa>先學語法，而是讓你先講策略。使用者可以用自然語言描述進出場、部位大小、過濾條件與風控規則，平台再把這些內容轉成可執行的交易設定。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779773149321-6nrx.png\" alt=\"5 個 CoinQuant 的 AI 代理設計\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>這種做法降低了從想法到上線的門檻，也讓非工程背景的人能更快驗證策略。對團隊來說，它也能縮短從需求到 bot 上線的時間。\u003C\u002Fp>\u003Cul>\u003Cli>輸入：口語或文字策略描述\u003C\u002Fli>\u003Cli>輸出：可執行的交易邏輯\u003C\u002Fli>\u003Cli>涵蓋：entries、exits、position sizing、filters、risk rules\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>2. 內建 tick-level 回測\u003C\u002Fh2>\u003Cp>策略能不能活下來，常常不在概念，而在細節。CoinQuant 內建 tick-level backtesting，讓使用者不用自己拼資料管線或測試腳本，就能看策略在更細的市場粒度下會怎麼表現。\u003C\u002Fp>\u003Cp>這對交易者很重要，因為進出場時機和滑點常常決定勝負；對 AI 代理也一樣，先回測再下場，才有機會在參數調整前先排除明顯失誤。\u003C\u002Fp>\u003Cul>\u003Cli>回測粒度：tick-level\u003C\u002Fli>\u003Cli>用途：驗證進出場與風控規則\u003C\u002Fli>\u003Cli>好處：更快迭代，少一層手工設定\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>3. 同時服務人類與自主代理\u003C\u002Fh2>\u003Cp>CoinQuant 並不是只加上 AI 功能，而是把平台往共享架構推進，讓人類交易者和 autonomous agents 都能用同一套策略層。這代表它想處理的不只是介面，而是決策到執行的整條鏈路。\u003C\u002Fp>\n\u003Cfigure class=\"my-6\">\u003Cimg src=\"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779773148851-gwo1.png\" alt=\"5 個 CoinQuant 的 AI 代理設計\" class=\"rounded-xl w-full\" loading=\"lazy\" \u002F>\u003C\u002Ffigure>\n\u003Cp>對代理系統來說，單有錢包或支付層還不夠，還需要能產生策略、測試策略、執行策略的核心引擎。CoinQuant 目前押注的正是這一層。\u003C\u002Fp>\u003Cul>\u003Cli>人類用法：no-code 策略建立\u003C\u002Fli>\u003Cli>代理用法：自動部署、測試、執行\u003C\u002Fli>\u003Cli>架構目標：一套系統，兩種操作主體\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>4. 對準代理經濟的早期需求\u003C\u002Fh2>\u003Cp>CoinQuant 之所以值得注意，是因為它踩在代理經濟的上升期。文中引用的 Keyrock 研究指出，\u003Ca href=\"\u002Ftag\u002Fai-agents\">AI agents\u003C\u002Fa> 在 2026 年 4 月前的 12 個月內，已經結算超過 7,300 萬美元，並完成 1.76 億筆\u003Ca href=\"\u002Ftag\u002F區塊鏈\">區塊鏈\u003C\u002Fa>交易。\u003C\u002Fp>\u003Cp>這些數字的意思很直接：如果代理真的開始成為經濟參與者，工具就不能只處理支付，還要能管理決策邏輯。CoinQuant 的定位剛好落在這個缺口上。\u003C\u002Fp>\u003Ccode>$73 million settled\u003Cbr>176 million blockchain transactions\u003Cbr>1 million+ potential autonomous trading agents\u003C\u002Fcode>\u003Ch2>5. 站在更大的 crypto AI stack 裡\u003C\u002Fh2>\u003Cp>CoinQuant 不是孤立產品，它出現的時點，正好和 agentic wallets、支付卡、微支付基礎設施一起成形。像 Coinbase 的 agentic wallets、Circle 的 \u003Ca href=\"\u002Ftag\u002Fagent\">Agent\u003C\u002Fa> Stack，以及 MoonPay 的 MoonAgents Card，都在補齊代理能花錢、能收款、能結算的能力。\u003C\u002Fp>\u003Cp>CoinQuant 的角色比較窄，但也更\u003Ca href=\"\u002Fnews\u002F5-takeaways-critterz-losing-sora-zh\">關鍵\u003C\u002Fa>：它專注在策略層，負責告訴代理「交易\u003Ca href=\"\u002Fnews\u002Fwhy-llama-cpp-release-notes-matter-more-than-bragging-zh\">什麼\u003C\u002Fa>」以及「怎麼交易」。其他產品處理的是錢，而它處理的是決策。\u003C\u002Fp>\u003Cul>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.coinbase.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Coinbase\u003C\u002Fa>：agentic wallet infrastructure\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.circle.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">Circle\u003C\u002Fa>：wallets、marketplace、nanopayments\u003C\u002Fli>\u003Cli>\u003Ca href=\"https:\u002F\u002Fwww.moonpay.com\u002F\" target=\"_blank\" rel=\"noopener noreferrer\">MoonPay\u003C\u002Fa>：AI-native payment card infrastructure\u003C\u002Fli>\u003C\u002Ful>\u003Ch2>怎麼挑\u003C\u002Fh2>\u003Cp>如果你是想快速驗證交易想法、又不想先寫程式的人，CoinQuant 很適合走 no-code 路線。如果你在做 agent 軟體，最值得看的則是它的策略引擎，因為那是把市場意圖轉成行動的核心層。\u003C\u002Fp>\u003Cp>如果你的重點是追蹤 crypto \u003Ca href=\"\u002Ftag\u002Fai-\">AI 基礎設施\u003C\u002Fa>，那這 5 點可以幫你看出一件事：交易很可能會是自主代理最早落地的場景之一，而 CoinQuant 正在押這條路。\u003C\u002Fp>","5 個設計重點看 CoinQuant 如何讓交易者與 AI 代理一起建策略、回測並執行加密交易。","crypto.news","https:\u002F\u002Fcrypto.news\u002Fcoinquant-trading-launches-ai-agent-architecture\u002F",null,"https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1779773149321-6nrx.png","industry","zh","7e0af651-9a7b-42c1-9a63-a263b2738e63",[17,18,19,20,21,22,23],"CoinQuant","AI agents","crypto trading","no-code strategy","tick-level backtesting","agent economy","crypto AI infrastructure",[25,26,27],"CoinQuant 把自然語言策略轉成可執行交易系統，降低上線門檻。","內建 tick-level 回測，讓策略驗證更快、更接近實盤細節。","它的定位不只服務人類交易者，也在對準自主代理的策略層需求。",4,"2026-05-26T05:25:22.717738+00:00","2026-05-26T05:25:22.703+00:00","caa87b65-9bbc-46fe-bba8-4f4158dd2d8b",{"tags":33,"relatedLang":44,"relatedPosts":48},[34,36,38,40,42],{"name":19,"slug":35},"crypto-trading",{"name":21,"slug":37},"tick-level-backtesting",{"name":17,"slug":39},"coinquant",{"name":20,"slug":41},"no-code-strategy",{"name":18,"slug":43},"ai-agents",{"id":15,"slug":45,"title":46,"language":47},"5-ways-coinquant-is-built-for-ai-agents-en","5 ways CoinQuant is built for AI agents","en",[49,55,61,67,73,79],{"id":50,"slug":51,"title":52,"cover_image":53,"image_url":53,"created_at":54,"category":13},"0d604500-3a70-40ec-a70e-370f972a66ab","korea-nvidia-talks-ai-factory-push-zh","韓國與 Nvidia 對話，重點是 AI 工廠","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781057871797-7uxx.png","2026-06-10T02:17:21.099824+00:00",{"id":56,"slug":57,"title":58,"cover_image":59,"image_url":59,"created_at":60,"category":13},"173b8876-1867-4e0b-948f-27891d6b6364","openai-should-not-rush-its-ipo-just-to-win-the-ai-race-zh","OpenAI 不該為了搶 AI 賽道而急著 IPO","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1781053365610-1hko.png","2026-06-10T01:02:19.886627+00:00",{"id":62,"slug":63,"title":64,"cover_image":65,"image_url":65,"created_at":66,"category":13},"3d7ff80a-4045-4b66-9e21-b6a8eb3b6f6d","openai-europe-privacy-policy-zh","OpenAI 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框架瞄準電力、言論與州權","2026-03-26T07:12:18.695466+00:00",{"id":97,"slug":98,"title":99,"created_at":100},"ea6be18b-c903-4e54-97b7-5f7447a612e0","nvidia-gtc-2026-big-ai-announcements-zh","NVIDIA GTC 2026 重點拆解","2026-03-26T07:14:26.62638+00:00",{"id":102,"slug":103,"title":104,"created_at":105},"4bcec76f-4c36-4daa-909f-54cd702f7c93","claude-users-spreading-out-and-getting-better-zh","Claude 用戶更分散，也更會用","2026-03-26T07:22:52.325888+00:00",{"id":107,"slug":108,"title":109,"created_at":110},"bd903b15-2473-4178-9789-b7557816e535","openclaw-raises-hard-question-for-ai-models-zh","OpenClaw 逼問 AI 模型價值","2026-03-26T07:24:54.707486+00:00",{"id":112,"slug":113,"title":114,"created_at":115},"eeac6b9e-ad9d-4831-8eec-8bba3f9bca6a","gap-google-gemini-checkout-fashion-search-zh","Gap 把結帳搬進 Gemini","2026-03-26T07:28:23.937768+00:00",{"id":117,"slug":118,"title":119,"created_at":120},"0740e53f-605d-4d57-8601-c10beb126f3c","google-pushes-gemini-transition-to-march-2026-zh","Google 把 Gemini 轉換延到 2026 年 3…","2026-03-26T07:30:12.825269+00:00",{"id":122,"slug":123,"title":124,"created_at":125},"e660d801-2421-4529-8fa9-86b82b066990","metas-llama-4-benchmark-scandal-gets-worse-zh","Meta Llama 4 分數風波又擴大","2026-03-26T07:34:21.156421+00:00",{"id":127,"slug":128,"title":129,"created_at":130},"183f9e7c-e143-40bb-a6d5-67ba84a3a8bc","accenture-mistral-ai-sovereign-enterprise-deal-zh","Accenture 攜手 Mistral AI 賣主權 AI","2026-03-26T07:38:14.818906+00:00",{"id":132,"slug":133,"title":134,"created_at":135},"191d9b1b-768a-478c-978c-dd7431a38149","mistral-ai-faces-its-hardest-year-yet-zh","Mistral AI 迎來最硬的一年","2026-03-26T07:40:23.716374+00:00"]