Edgen推出了“ AI Super App”，使機構加密市場情報民主化

Edgen結束了僅邀請階段的階段，在全球範圍內作為第一個將交易見解，社交信號和實時鏈上分析統一的AI超級應用程序啟動

Edgen, the AI-native market intelligence platform designed to restore informational edge in the age of noise, today announced its public launch. Following a closed beta with over a million data points being analyzed daily, Edgen is now accessible to all without any invite codes, waitlist applications, or onboarding gates.

埃德根（Edgen）是旨在恢復噪音時代的信息邊緣的AI-NATIANIT MARKETICENCE平台，今天宣布了其公開發布。在每天分析超過100萬個數據點的封閉測試點之後，所有人現在都可以訪問Edgen，而無需任何邀請代碼，候補名單應用程序或入職門。

The platform, which is backed by Framework Ventures, North Island Ventures, Portal Ventures, Hivemind Capital Partners, and Moonrock Capital, combines real-time social sentiment, on-chain analysis, and modular, specialized AI agents into a single AI-native workflow, giving retail traders and independent analysts the tools and clarity once reserved for hedge funds and quant desks.

該平台以框架風險投資，北島風險投資，門戶投資公司，Hivemind Capital Partners和Moonrock Capital的支持，將實時社交情感，鍊子分析和模塊化的專業AI代理結合到一個單一的AI本地工作流程中，使零售商和獨立分析師保留了一旦保留了用於HEDGE DESS的工具和清晰度。

Dubbed the “AI Super App” for market intelligence, Edgen introduces a new intelligence framework for traders. It’s an always-on, modular, and lightweight system for parsing live markets, detecting signals before they trend, and enabling conviction where once there was chaos.

Edgen被稱為“ AI Super App”，用於市場情報，為交易者推出了一個新的情報框架。這是一個始終在線，模塊化和輕巧的系統，用於解析現場市場，在趨勢之前檢測信號，並在曾經有混亂的地方實現信念。

“We built Edgen to help traders make smarter decisions, faster. It gathers insights from the entire market and from everyone, learns from them, and gives them an edge. Markets move fast. Edgen helps people move faster and smarter. When information is everywhere, what matters most is how quickly you can turn it into conviction. That’s what Edgen unlocks,” said Sean Tao, Cofounder of Edgen.

“我們建立了EDGEN，以幫助交易者做出更明智的決策，更快。它可以從整個市場和每個人那裡獲得見解，向他們學習，並為他們提供學習。市場可以快速移動。Edgen可以幫助人們更快，更聰明。當信息到處都是無處不在，最重要的是，您可以將其變成有多速度。

The Mental Infrastructure for Smart Money

智能金錢的心理基礎設施

Today’s markets are not won by access to data, but by the ability to reduce complexity into clarity, faster than consensus. In a trading environment increasingly shaped by narrative cycles, virality, and social-driven volatility, platforms like Edgen introduce an intelligence operating system, one that fuses structured AI orchestration, speed, and execution with human pattern recognition and intuition.

當今的市場不是通過訪問數據而贏得的，而是通過將復雜性降低到清晰度的能力，比共識更快。在敘事週期，病毒性和社會驅動的波動性越來越塑造的貿易環境中，Edgen等平台引入了智能操作系統，它將與人類模式識別和直覺融合結構的AI編排，速度和執行。

“If Bloomberg Terminal were invented today for a generation raised on Discord, DeFi, and ChatGPT, it would look like Edgen,” Tao added.

陶補充說：“如果今天發明了彭博終端，用於在Discord，Defi和Chatgpt上提出的一代人，它看起來像Edgen。”

Edgen is built on an Efficient Decision Guidance Model (EDGM)—a lightweight, real-time system that intercepts user queries, identifies intent, and routes them through a stack of specialized agents and relevant data sources. Rather than relying on a monolithic and rigid large language model, Edgen dynamically coordinates smaller tools, models, and data sources in parallel, creating answers that are faster, cheaper, and optimized for the crypto-native environment.

EDGEN建立在有效的決策指導模型（EDGM）的基礎上，即輕巧的實時系統，可攔截用戶查詢，識別意圖並通過一堆專用代理和相關數據源將它們路由。 Edgen並不依賴於整體且剛性的大語言模型，而是通過並行地動態協調較小的工具，模型和數據源，從而為加密本地環境創建更快，更便宜且優化的答案。

This routing system is what makes Edgen not just fast, but contextually intelligent. It knows when to pull on-chain data, when to surface X/Twitter sentiment, when to highlight smart money flows, and when to do all three at once.

該路由系統不僅使EDGEN不僅快，而且使上下文智能。它知道何時拉鍊數據，何時表面X/Twitter情緒，何時突出顯示智能貨幣流動以及何時一次進行所有三個。

From Tool to Network: Edgen as Collective Cognition

從工具到網絡：EDGEN作為集體認知

Edgen offers users four core interfaces: real-time Search, momentum Radar, crowd-sourced Insight feeds, and a dynamic crowdsourced intelligence layer known as “Aura.” These modules do not exist in isolation; they are stitched together by EDGM to form a continuous perception loop. Every search query, every published call, and every response reinforces the system. In this way, Edgen behaves not as a platform but as a decentralized learning brain, one trained not by engineers but by the most attuned minds in the market.

Edgen為用戶提供了四個核心接口：實時搜索，動量雷達，眾包見解供稿以及一個動態的眾包智能層被稱為“ Aura”。這些模塊不是孤立存在的。它們被EDGM縫合在一起以形成連續的感知循環。每個搜索查詢，每個已發布的調用以及每個響應都會加強系統。這樣，Edgen的行為不是一個平台，而是作為分散的學習大腦，不是由工程師而是由市場上最可觀的思想訓練。

This architecture includes a Cognitive Layer (query parsing and tool routing with EDGM), an Agentic Layer (modular agents for TA, macro, on-chain, and social signal interpretation), and a planned Execution Layer, which will allow AI-generated insights to translate directly into trade execution or smart contract interaction.

該體系結構包括一個認知層（與EDGM的查詢解析和工具路由），代理層（用於TA，宏，鏈，鍊和社交信號解釋的模塊化代理）以及計劃的執行層，該執行層將允許AI生成的見解直接轉換為貿易執行或智能合同互動。

“Imagine spotting a sudden spike in a microcap token. Edgen Search gives you an instant TLDR of its utility, recent smart wallet buys, and who’s talking about it on Twitter, all in one click,” said Tao.

陶說：“想像一下，在微型紙牌令牌上突然發現了一個尖峰。Edgen搜索使您立即提供了其效用，最近的Smart Wallet Buy以及在Twitter上談論它的人，一鍵單擊。”

Aura: A Crowdsourced Intelligence Layer for the Intelligence Economy

光環：眾包情報層

Edgen’s vision is not to replace human judgment but to amplify it. Every question asked, every insight shared contributes to the platform’s intelligence. The more users engage with the platform, the more refined and valuable it becomes, creating a self-reinforcing loop of market understanding.

Edgen的願景不是要取代人類的判斷，而是要擴大它。每個問題都提出，每個洞察力共享都會有助於平台的智能。用戶參與該平台的越多，它就會變得更加精緻和有價值，從而創造了一種自我增強的市場理解循環。

Unique to Edgen is its incentive mechanism. Named Aura, it’s a non-transferable metric that tracks a user’s contributions, predictive accuracy, and impact within the ecosystem. It operates as a kind of proof-of-intelligence, ranking those who identify signals before the market does.

Edgen獨有的是其激勵機制。這是一個不可轉讓的度量標準，它可以跟踪用戶在生態系統內的貢獻，預測準確性和影響。它是一種智能證明，對那些在市場前識別信號的人進行排名。

“The real arms race in crypto trading isn’t for blockspace. It’s for information asymmetry, attention, synthesis, and decision velocity. Edgen is how we give individuals an institutional lens without replicating institutional baggage,” added Tao.

陶補充說：“加密交易中的真實軍備競賽並不是針對Blockspace的。它是出於信息不對稱，注意力，合成和決策速度。Edgen是我們在不復制機構行李的情況下給個人提供機構鏡頭的方式。”

Aura is primarily earned in two ways: by training the AI with high-quality insight or by distributing that insight and triggering real user engagement. These contributions are scored through a three-tier process involving automated model review, community rating, and expert verification. This system allows Edgen to transform every high-quality market thesis, meme-framed call, or chain-driven analysis into live training data, creating an AI

光環主要以兩種方式賺取：通過培訓AI具有高質量的見解或分發洞察力並觸發真正的用戶參與度。這些貢獻是通過涉及自動模型審查，社區評級和專家驗證的三層過程來評分的。該系統使Edgen可以將每個高質量的市場論文，模因呼叫或鍊式驅動分析轉換為實時培訓數據，創建AI