# Edgen - Litepaper Market Intelligence for Every Investor
> *"There's always been this position that the little guy has no chance against the big guy in the market. I think they can do the job though, and they can do very well. But they have to do certain things."*

Peter Lynch

Markets used to be divided. Institutions had analysts, models, and expensive terminals. But independent traders only had fragments, usually delayed, unstructured, scattered across sources.

Markets sprint, retail investors crawl, and scrolling more and more tabs can’t keep up.

Today, markets move faster than both groups can process. Institutions drown in data despite expensive tools. Retail traders juggle 30+ tabs and apps, yet still miss the signal. No human can master 21st-century markets. [**Edgen**](https://www.edgen.tech/) **changes this.** ### **What Edgen is** [Edgen](https://www.edgen.tech/) is an AI-powered **decision layer** that unifies stocks and crypto in a single interface. At its center is [**EDGM (Efficient Decision Guidance Model)**](/edgen-litepaper/technical-principles/edgm-the-commander-model)**,** a proprietary model that directs AI agents, connected to the market, and built for analysis or trading tasks. Together, they transform filings, earnings calls, on-chain flows, derivatives, macro news, and narratives into structured, digestible intelligence for all investors. With [Edgen](https://www.edgen.tech/), what once required teams of researchers and enterprise terminals is now available through a single, adaptive interface.
### What This Litepaper Covers The Edgen Litepaper explains the foundation and direction of Edgen. It is written for developers, traders, and advanced users who want to explore deeper than the surface level. It focuses on technical principles and design choices. It focuses on technical principles and design choices: 1. [**Why Edgen exists**](/edgen-litepaper/faq/how-is-edgm-different-from-generic-ai-or-simple-wrappers)**.** The fragmentation of markets and limits of generic AI. 2. [**Edgen's Principles**](/edgen-litepaper/technical-principles). The design philosophy behind EDGM, and how Edgen's agents, workflows, and reinforcement learning interact. 3. [**Inside Edgen**](/edgen-litepaper/inside-edgen)**.** The components available today: Store, Search, Themes, News, Aura. # Why Edgen? Understanding Markets as a Whole Markets no longer move in isolation. Stocks, crypto, derivatives, and macro events influence one another constantly. Yet the data arrives in different forms, from different sources, and at different speeds.

Despite 20 years of financial tech innovation, average investors are still stuck in 30 apps

Edgen brings these flows together in one layer. At its core is [**EDGM** (Efficient Decision Guidance Model)](/edgen-litepaper/technical-principles/edgm-the-commander-model), a commander model that directs specialist agents. Each agent has a defined task: parsing earnings, monitoring on-chain activity, reading derivatives markets, or mapping narrative drivers. The system is reinforced with Contextual and Graph RAG, which allow relationships between market entities to be identified, and linked. This structure makes the model more precise, and less prone to isolated outputs. The result is a [single interface](https://www.edgen.tech/) where cross-asset dynamics are processed together, giving investors a coherent view rather than a set of disconnected pieces.
# Cycles, Themes, and Smart Money
Markets move in recurring patterns. Themes and assets rise, fall, and return in new forms. Some cycles move fast, like meme tokens or high-momentum stocks. Others unfold over years, like commodities or technology adoption. Behind each cycle are flows of capital and risk. Institutions rotate positions. Retail crowds chase trends. Long-horizon funds rebalance. Together these shifts create the effect often called “smart money”: the outsized influence of those who move first and at scale. Edgen is built to be relevant under any market, to detect and explain these cycles. [**EDGM**](/edgen-litepaper/technical-principles/edgm-the-commander-model) directs research agents across fundamentals, technicals, momentum, sector analysis, and knowledge graphs. [These agents parse filings, earnings, derivatives, and on-chain activity in real time.](https://www.edgen.tech/marketplace/crypto/rating) Outputs are logged, compared, and connected back to broader market context. The system not only show movement but also explains why movement may be happening and when a cycle shows signs of turning. With [Edgen](https://www.edgen.tech/), traders access the type of cycle intelligence that was once reserved for institutional research desks. # Signals and Narratives

Sometimes, an asset can see its price move solely for being part of a certain theme.

Markets do not move on numbers alone. [Stories](https://www.edgen.tech/app/crypto/themes), communities, and events can shift value as much as fundamentals. A single post can move sentiment. A policy announcement can redirect capital. An earnings call can reprice an entire sector. Conventional data feeds are limited here. Narrative dynamics are fast, unstructured, and global. They cross languages, platforms, and networks. [Edgen](https://www.edgen.tech/) brings these narratives into the same layer as financial data. **AI agents** monitor macro news, regulatory changes, social channels, and on-chain activity. **Sentiment and narrative models** then classify and connect this information. [**EDGM**](/edgen-litepaper/technical-principles/edgm-the-commander-model) links the results back to assets and sectors, mapping how narratives spread and where they gain traction. This allows traders to see markets as they actually evolve: through the constant interaction of numbers and narratives, each reinforcing the other. # AI and Market Intelligence
No trader can process everything. Markets generate information at a pace and scale beyond human capacity. Generic AI models struggle here. They lack the structure, context, and domain reasoning needed for financial markets. Edgen addresses this with [**EDGM**](/edgen-litepaper/technical-principles/edgm-the-commander-model), a proprietary commander model. It directs a network of specialist agents, each built for a defined task: parsing earnings, tracing on-chain activity, scanning derivatives, or linking news to assets. These agents follow a structured pipeline: query routing, intent classification, tool selection, data retrieval, analysis, and response generation. **Contextual and Graph RAG** refine this process, connecting entities and relationships that generic models miss. Outputs are integrated and delivered as one coherent answer. AI does not replace the trader. It extends them. [Edgen](https://www.edgen.tech/) manages the scale and speed of data. The human brings strategy and judgment. Together they form an edge greater than either alone. # Technical Principles
### **Generic AI fails in markets.** #### Generic LLMs To oversimplify, generic LLMs are like a cook who doesn't understand flavor and simply throws ingredients together, while many of them are rotten. Large models can generate text, but without financial structure they produce wrong outputs, hallucinated numbers, and shallow reasoning. #### LLM Wrappers On the other hand, LLM wrappers are like chefs who know a few fixed recipes. They can prepare a dish that looks correct on paper, but it lacks balance and taste. Wrappers built on static prompts or narrow APIs can handle a few use cases, but they cannot scale across thousands of scenarios. Because markets are dynamic, cross-asset, and narrative-driven.

Typical generic LLM and LLM wrapper architecture

#### **Edgen is built on a different foundation.** It fuses state-of-the-art compute with proven investment frameworks, structured datasets, and reinforcement learning. The result is not another prediction engine, but a **decision layer** built specifically for markets. At the center is [**EDGM (Efficient Decision Guidance Model)**](/edgen-litepaper/technical-principles/edgm-the-commander-model), a commander that directs specialist agents. Each agent is designed for a precise task, such as parsing filings, scanning derivatives, tracing on-chain activity, or linking news to assets. Together they produce coherent, auditable outputs. To oversimplify, [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model) is essentially a chef who understands ingredients, proportions, and technique: able to follow thousands of recipes, invent new ones, and consistently serve meals that are actually good and harmonious. This architecture is built to be: * **Compounding:** sharper over time as feedback and reinforcement learning accumulate. * **Sustainable:** accessible to all investors at the base layer, with advanced modules and research available through subscription and contribution. * **Composable:** open to new agents, tools, and domains as markets evolve. These principles ensure [Edgen](https://www.edgen.tech/) is an intelligence system that grows stronger, broader, and more aligned with its users the more it is used. # EDGM: The Commander Model The **Efficient Decision Guidance Model (EDGM)** is the core of Edgen. It is not one giant model but a structured process that routes every request through layers of reasoning, agents, and tools. It is the operating system abstracting away complexity, allowing human users to make the most out of markets.
### Reasoning Model A dynamic investment framework interprets user queries and assigns them to the right agents. ### Specialized Agents Each agent has a clear role: long-term memory, macro, technical, fundamentals, momentum, sector, or knowledge. These specialists can be expanded without limit. ### Guidance & Knowledge Models The Guidance Model decides which external market tools to call, while the intern knowledge model retrieves and organize relevant research it has stored. Both include filings, earnings, technical indicators, social data, and web search. ### Market Tools & LLMs Tools execute and collect information. State-of-the-art LLMs synthesize results into text, charts, tables, or reports on the Edgen interface. ### Output and Feedback [The system returns a single coherent answer.](mailto:undefined) Every step is logged, and feedback (manual or reinforcement learning) improves future performance. *** This architecture achieves three outcomes: * **Scalability**: more agents and tools can be added without redesigning the system. * **Transparency**: each stage is explicit and reviewable. * **Compounding**: reinforcement learning and memory make the system sharper with use. EDGM turns fragmented processes into one coordinated intelligence pipeline, delivering outputs that are precise, adaptive, and built for markets. # How EDGM Thinks The same structure that routes crypto and stock queries through agents and tools can also be viewed as a layered thought process. [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model) assigns tasks, but goes a step further too: it orchestrates them, shaping raw inputs into a single line of reasoning. [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model) is designed to think the way an organized research desk would, but at machine scale. Instead of one giant model guessing at answers, it acts as a commander that coordinates layers of analysis.
It begins with a **personal engine**. This engine interprets the user’s intent, adapts to their portfolio or query, and decides which type of analysis to activate. It then calls on **specialist agents**. Each agent is narrow by design: fundamentals, technicals, momentum, macro, or sector. Their focus makes outputs precise. Together, they cover the different angles needed to understand a market move. These agents rely on **market tools:** earnings reports, derivatives data, on-chain activity, macro releases. Outputs are collected, cleaned, and cross-checked against Edgen’s knowledge base. **Finally, the commander fuses everything into a single answer.** Instead of fragmented views from separate tools, the output is coherent, connected, and decision-ready. This layered process delivers three things professional traders demand: * **Coherence:** one answer that combines all relevant perspectives. * **Adaptability:** when conditions shift in one domain, agents in that domain adapt without breaking the system. * **Efficiency:** compute is allocated only where needed, making responses fast and cost-effective. The result is a system that thinks more like an experienced team of analysts than a generic AI, but runs continuously and at global scale. As we mentioned, [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model) works like a head chef in a professional kitchen. It doesn’t cook everything itself. It directs specialists (one prepares proteins, another handles sauces, another manages timing) and brings them together into a single dish. The output is coherent and consistent, not a random mix of parts. # Economic Sustainability
Edgen is built to scale without breaking alignment with its users. The architecture and the business model reinforce one another: simple entry for all, advanced intelligence for power users, and an open path for developers to expand the system. * **Accessible Core:** search, dashboards, and standard agents are available to everyone. This ensures the barrier to entry remains low, while building trust in the system’s outputs. * **Advanced Intelligence:** deeper research, specialized reports, and premium agents can be unlocked through subscription. Users who demand more precision and breadth gain it, while the base layer stays open. * **Open Contribution:** developers and traders can soon introduce their own agents in the [Store](https://www.edgen.tech/marketplace/crypto). These may be shared freely or offered as premium modules, extending the system’s reach and rewarding creativity. * **Aligned Growth:** entry remains simple while advanced layers scale. This design keeps Edgen accessible to newcomers, valuable to experts, and sustainable in the long term, without relying on short-term incentives. By combining accessibility, extensibility, and compounding contributions, Edgen builds an intelligence ecosystem that strengthens with use and scales naturally with the markets it serves. # Inside Edgen
Edgen is one system, many lenses. Each feature draws from the same decision model, but presents the market in a form that fits a task. Traders can move from quick checks to deep research without leaving the website. The result is consistency across views: a single model of truth, many ways to access it. What is available today: * [**Search**](/edgen-litepaper/inside-edgen/search): natural language questions answered with structured market intelligence. * [**Themes**](/edgen-litepaper/inside-edgen/themes): tables of assets grouped by sector or narrative, updated like a live index. (previously Radar) * [**News**](/edgen-litepaper/inside-edgen/news): AI-curated events and updates, always tied to market context. * [**Aura**](/edgen-litepaper/store/megabrain-investors-picks#what-it-does-for-you): a reputation layer that measures user insight and credibility across sources. # Search
[Search](mailto:undefined) is Edgen’s question-and-answer interface to the markets. A user can type a natural question (about a stock, a token, or an investment theme) and receive a structured response in seconds. Behind each answer, agents retrieve the relevant layers: filings and earnings, on-chain flows and derivatives, sentiment and curated news. EDGM links them into one narrative. Instead of fragments, the output carries context that traders can act on and engineers can trace. Search operates on two levels: * **Direct Answers**: fast synthesis for frequent queries. A trader asking “What drives ETH this week?” gets a concise view that merges flows, funding, and narratives. Hours of manual checking compressed into one answer. * **Deep Research**: higher resolution analysis. Multiple agents scan filings, social data, and market structure to assemble a full report. The result is an auditable document with sources, tables, and a single actionable score. By joining natural language with structured financial and on-chain intelligence, Search makes the market explorable in any direction. There is no need to switch between terminals or APIs. One query becomes one coherent answer, with the depth adjustable to the task. # Themes
[Themes](https://www.edgen.tech/app/stock/themes) present assets in organized tables, grouped by sector or by narrative. Stocks and tokens sit side by side but keep their own views, so a user can track both equity sectors and crypto narratives in parallel. Each theme surfaces what matters most to that group: price moves, volume shifts, flows, or news that define the story. A technology sector table will highlight leading gainers, laggards, and earnings context. A DeFi narrative view will surface protocol fees, token unlocks, and liquidity changes. The design makes comparison natural. Signals line up row by row, showing how assets inside the same category move together or diverge. A trader can see whether energy stocks rise on oil prices, or whether gaming tokens react to a new launch. [Themes](https://www.edgen.tech/app/stock/themes) also track how narratives evolve. New sectors appear as they gain relevance, while existing ones update continuously. This gives traders an index-like lens on both markets, built on the same decision model that powers Search. By arranging assets this way, Themes turn raw data into a live map of sector and narrative dynamics, making it easier to scan, compare, and decide. # News
[News](https://www.edgen.tech/news/crypto) inside Edgen is filtered for relevance. Instead of endless feeds, the system highlights only the updates that move the most relevant assets and sectors. Every item is tied to market context, so news becomes actionable rather than background noise. Specialist agents scan across multiple domains: corporate filings and earnings calls, protocol updates and governance votes, macro releases, and on-chain flows. [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model) evaluates the material, links it to the right assets or themes, and ranks it by importance. The output is a focused news layer. A filing about Tesla updates the EV theme. An exploit notice is tied directly to the DeFi protocols at risk. A central bank release connects to rate-sensitive equities and tokens. Traders see not only the event but also its mapped impact. This approach keeps the feed compact, but always live. Events are filtered, contextualized, and refreshed as conditions change. Instead of jumping between terminals and channels, users follow one integrated stream that shows how developments shape prices and narratives in real time. # Aura Aura is Edgen’s reputation layer. It measures how accurate and valuable a market call proves to be over time. The score grows when insights align with future outcomes or gain recognition across the community. It is refined both by Edgen’s AI and by peer review, creating a transparent signal of credibility. A public leaderboard highlights accounts and analysts with the strongest records. Although Aura is not a tradable token, it is recognition, and it also feeds back into Edgen itself. By learning from the most reliable signals, the system becomes sharper with use. # Store
The [Edgentic Store](https://www.edgen.tech/marketplace/crypto) (prev. Edgentic Marketplace) is where [Edgen](https://www.edgen.tech/) branches into specialized agents. [Search](https://www.edgen.tech/), [Themes](https://www.edgen.tech/app/stock/themes), and [News](https://www.edgen.tech/news/crypto) form the foundation; the [Store](https://www.edgen.tech/marketplace/crypto) adds extensions that deliver targeted applications for trading and research. Each agent provides a distinct view of the market: fast technical checks, deeper reports, pivot detection, or narrative simulation. Users activate them on demand and combine outputs to fit their workflow. A short-term trader might pull a Technical Signal and Pivot Alert together. A portfolio analyst might chain a 360° Report with Trading Mindshare. Every agent is an instantiated module of [EDGM](/edgen-litepaper/technical-principles/edgm-the-commander-model). When activated, EDGM’s router directs the query to the right sub-agent. Data is drawn from market, on-chain, derivatives, and sentiment APIs, processed, and logged into the Edgen Knowledge Base. Because all agents share the same retrieval and reinforcement backbone, their results can stand alone or stack into richer analysis. The [Store](https://www.edgen.tech/marketplace/crypto) is also designed to grow. Over time, developers and traders will contribute new agents, expanding coverage across domains and strategies. Existing agents will continue to refine as they learn from use. Current agents in the Store: * [**Technical Signals**](/edgen-litepaper/store/technical-signals) * [**Trading Mindshare**](/edgen-litepaper/store/trading-mindshare) * [**Pivot Alerts**](/edgen-litepaper/why-edgen/cycles-themes-and-smart-money) * [**360° Reports**](/edgen-litepaper/store/360-report) # Technical Signals
### **What it does for you** [Technical Signals](https://www.edgen.tech/marketplace/crypto/technical-analysis) gives a clean view of price trends and entry points. Each chart highlights market direction, indicator strength, and sentiment (bullish, bearish, or neutral). Instead of scrolling through terminals or coding TA formulas, traders see an instant readout of RSI, MACD, EMA, and related metrics. Signals are normalized into clear classes so you can compare assets side by side. Whether scanning majors like ETH and BTC or smaller tokens, the module compresses hours of chart work into a few clicks. ### How it works [Technical Signals](https://www.edgen.tech/marketplace/crypto/technical-analysis) is powered by Edgen’s Technical Analysis sub-agent, part of EDGM’s agentic layer. The module retrieves OHLCV data from exchanges via APIs such as CCXT. Indicators are computed with a dedicated TA library, then normalized into sentiment classes (bullish, bearish, neutral). Results are cached in the Knowledge Base for speed and consistency. Reinforcement learning adjusts weights over time by checking how indicators perform against later price action, improving accuracy with continued use. Each output is traceable: data sources, indicator values, and signal classifications are logged. This ensures that traders not only see the call but can also understand the underlying metrics. # Trading Mindshare ### **What it does for you**
[Trading Mindshare](https://www.edgen.tech/marketplace/crypto/mindshare) shows where liquidity is moving. For each token, you see which exchange (Binance, Coinbase, or Upbit) is driving volume, and whether attention is building or fading. A sudden spike on one venue signals where traders are clustering. A drop in share shows when interest rotates away. This view lets you track capital rotation in real time and compare how different venues shape market momentum. ### **How it works** [Trading Mindshare](https://www.edgen.tech/marketplace/crypto/mindshare) combines Edgen’s Flow Monitoring and Derivatives Intelligence sub-agents. Raw volume data is pulled directly from exchanges through connected APIs. The system normalizes values, compares them as a share of total market activity, and detects shifts over time. The pipeline flags when flows cluster on one venue, spread across multiple, or reverse direction. Every output is logged into the Edgen Knowledge Base and fed into the reinforcement loop. Over time, the system learns from repeated patterns (such as exchange-driven anomalies or wash-trade behavior) and sharpens detection. For traders, this means signals become more reliable the more they are used. # Pivot Alerts
### What it does for you [Pivot Alerts](https://www.edgen.tech/marketplace/crypto/pivot-alert) flag local tops and bottoms directly on the chart. Clear “Top” and “Bottom” markers show when a reversal is likely, so you can time entries and exits with more confidence. Instead of reacting late to candles, you see potential turning points as they form. This makes short-term swings easier to trade and longer positions easier to manage. ### How it works [Pivot Alerts](https://www.edgen.tech/marketplace/crypto/pivot-alert) runs on Edgen’s Momentum Analysis sub-agent. It scans price and volume in real time, applying EMA slope changes, volume fractals, and breakout/reversal heuristics. Each signal is assigned a confidence weight, then logged into the Edgen Knowledge Base. Reinforcement learning tracks how each call performs against later price action. Over time, probabilities are adjusted and pivot calls sharpen across cycles. Every alert is reproducible: the underlying data, indicators, and heuristics are visible inside the system. Traders get both the call and the logic behind it, while engineers see how the model evolves. # 360° Report
### What it does for you [360° Reports](https://www.edgen.tech/marketplace/stock/rating) deliver deep analysis on any stock or token, structured into one clear output. Each report produces a single overall rating, supported by sub-scores across fundamentals, tokenomics, and momentum. At a glance, users see: * **Overall 360° Rating**: a composite score for fast comparison across assets. * **Breakdown by dimension**: A–F marks for fundamentals, tokenomics, and momentum. * **Market context**: price change, market cap, and liquidity conditions displayed alongside.
Beyond the table view, each asset has a **full report**. The analysis covers: * **Project fundamentals**: mission, core design, and economic activity. * **Protocol and technology**: key innovations, upgrades, and network performance. * **Team and execution**: leadership, resilience, and track record. * **Investors and alliances**: capital support and institutional adoption. * **Market narrative**: positioning, sentiment, and comparative framing. * **On-chain adoption**: wallets, TVL, DEX activity, stablecoin share. * **Tokenomics**: supply, unlock schedules, staking, and fee burn. * **Valuation scenarios**: bull, base, and bear cases with clear signposts to monitor. Reports are generated by Edgen’s AI agents using Contextual and Graph RAG. This ensures that signals from on-chain activity, fundamentals, and narratives are not isolated but explicitly linked. ### How it works [360° Reports](https://www.edgen.tech/marketplace/stock/rating) are powered by multiple deep research sub-agents: Fundamental, Tokenomics, Momentum, Sentiment, and Knowledge Graph. EDGM triggers them in parallel, then fuses results through Contextual and Graph RAG. Scores are normalized into A–F grades, and a composite 360° rating is created. Every report is cached in the Knowledge Base, with traceable links back to data sources for transparency and auditability. # Megabrain Investors Picks
### What it does for you Megabrain lets you “chat” with AI versions of well-known investors and market personalities. Each persona carries its own style (aggressive, cautious, contrarian, or narrative-driven) and responds in that voice. This makes it both entertaining and instructive, as you can test how different strategies interpret the same market data. The experience includes: * **Character-driven insights**: AI agents modeled on legendary investors and market personalities. * **Conversation starters**: pre-set prompts for fast engagement (e.g., market-moving tweets, sector views, global trade). * **Generated commentary**: real-time responses aggregated from data sources, then expressed in the voice of the persona. * **Feedback layer**: users can upvote, downvote, or share outputs, which reinforces credibility scores.
This feature blends intelligence with narrative simulation. Traders can stress-test their views against the “voice” of an archetype, while the community contributes to a sentiment layer that reveals bias and conviction in unique ways. ### How it works Megabrain is powered by narrative simulation agents. EDGM’s router classifies the query as simulation, retrieves relevant market and news data, and activates the Sentiment/Narrative sub-agent. That data is reformulated into commentary styled to the chosen persona’s bias and tone. The result is a living layer of market dialogue grounded in data, but colored by personality. # Become The Smart Money Each of these components reinforces Edgen’s mission. [Edgen](https://www.edgen.tech/) unifies markets into one intelligence layer. Stocks and crypto sit inside the same system, refreshed in real time and connected through a common model. Updates flow continuously, so perspectives stay current as conditions shift. The model does more than retrieve data. It learns from sources, from user interactions, and from each market cycle. Every query, every analysis, adds weight to its intelligence. Over time, answers sharpen, patterns become clearer, and context grows richer. For traders, this creates a level of speed and perspective once held only by institutions. The edge is not in replacing judgment but in amplifying it. Edgen turns raw feeds into structured insight, delivers comparisons across assets, and surfaces context at the moment of decision. With this foundation, every investor can act with the sharpness of smart money—equipped to see connections early, test ideas faster, and move with confidence. # FAQ Frequently Asked Questions about Edgen AI [What is Edgen?](/edgen-litepaper/faq/what-is-edgen) [How is EDGM different from generic AI or simple wrappers?](/edgen-litepaper/faq/how-is-edgm-different-from-generic-ai-or-simple-wrappers) [What can I use today?](/edgen-litepaper/faq/what-can-i-use-today) [How does Edgen handle themes, narratives, and cross-asset context?](/edgen-litepaper/faq/how-does-edgen-handle-themes-narratives-and-cross-asset-context) [How does Edgen evolve, and can others extend it?](/edgen-litepaper/faq/how-does-edgen-evolve-and-can-others-extend-it) # What is Edgen? Edgen is an AI platform that unifies stocks and crypto in one system. At the center is **EDGM** (Efficient Decision Guidance Model), a commander that routes each query to specialist agents and market tools, then returns one coherent answer.
The model fuses reasoning with structured data and reinforcement learning so users get research, charts, tables, or reports from the same pipeline. # How is EDGM different from generic AI or simple wrappers? Generic models write text, EDGM **guides investment decisions**. It acts as a commander over many narrow agents (fundamentals, macro, momentum, sector) plus a knowledge layer and external tools. This architecture produces one auditable output rather than disconnected pieces. EDGM scales by adding agents without redesign, stays transparent because each stage is explicit, and compounds through feedback and memory # What can I use today? * Start with **Search** for natural-language questions * **Themes** for sector and narrative tables * **News** for curated updates tied to assets * **360° Reports** for a single-asset, institutional-grade view with one final score * and the **Edgentic Store** for agents like Technical Signals and Pivot Alerts. * **Portfolio analysis** learns your watchlists and suggests actions in real time, sharpening with use # How does Edgen handle themes, narratives, and cross-asset context? Themes group equities and tokens by sector or idea and keep each asset class in its own view. You can scan categories like AI or energy and see movement, liquidity, and related developments in one place. The same layer links updates to the assets they affect, so narrative shifts show up where they matter. Edgen is built for **cross-market reach**: specialized AI delivers precise answers across both stocks and crypto in a single, adaptive experience, with broad data coverage and thematic mapping across markets. # How does Edgen evolve, and can others extend it? Outputs are cached and logged, and feedback improves weights over time, making analyses sharper with continued use. The **Edgentic Store** hosts Edgen’s agents today and is designed to open to developers and analysts who can publish new analytics and trading agents. This creates an expanding ecosystem on the same reasoning backbone, with consistent context across tools # Useful Links Website: [https://www.edgen.tech](https://www.edgen.tech/) App: Blog: Twitter: Discord: Telegram: # Edgen - Litepaper白皮書 Edgen.Tech 讓您不再有信息差
*「市場上普遍認為散戶無法與大戶抗衡，但我認為散戶也可以取得非凡的成就，前提是他們必須採取正確的行動。」* *– 彼得‧林奇（Peter Lynch）* **Edgen 藉由 AI 賦能，為所有交易者提供全面、尖端的加密貨幣資訊和社群信號。**Edgen 採用其專有的高效決策引導網絡（Efficient Decision Guidance Model , EDGM），這是一個輕量但功能強大的 AI 編排（Orchestration）系統，專為最大化大型語言模型（LLM）在加密貨幣市場分析和交易執行中的性能而設計，並使用去中心化計算基礎設施（DeGPU）。這種方法動態地結合了鏈上基本指標、加密貨幣特有的社交信號（Pumpamentals），以及數百種其他數據來源，將原始數據轉化爲可操作的智能信息，為用戶提供全面、連貫和極快速的市場視野。 Edgen 為各種類型的交易者提供必要的工具，消除資訊差距，讓您可以掌控局面並成為聰明錢。使用 Edgen，就像擁有一位隨時待命的全職財務分析師。

Edgen如何賦能用戶獲得Alpha

**Edgen 的願景是成為市場分析的終極工具，解決資訊過載和碎片化的問題，為交易者創造公平的競爭環境。**Edgen AI 通過結合 “人類直覺” 與 “人工智能”，使一般投資者能夠獲取 Alpha，打破機構投資者和內部人士對投資信息的壟斷。Edgen AI 堅定地站在一般投資者一邊，挑戰機構投資者利用人脈網絡和資源獲取高勝率的優勢地位，幫助您明確 “買什麼” 和 “怎麼買”。 Edgen 和人工智能並沒有改變獲得 Alpha 的根本原則。投資成功的關鍵在於向 AI 提出正確問題的能力，Edgen 使人人都有機會接觸市場和社交數據，不再依賴昂貴的訂閱服務或內部消息。AI 驅動的高效分析和洞察力使精明的交易者能夠及時發現潛力幣種。 有些交易者對於早期市場的敘述或即將上漲的資產配置有著敏銳的直覺，但往往無法獲得相應的回報。Edgen 將格外青睞這些有遠見的交易者，大幅降低他們為了找到目標而所需的信息壁壘和時間成本。 正如幾十年前互聯網普及了信息一樣，人工智能驅動的分析也將帶來範式轉變。現今，我們很難想像過去沒有網絡時如何通過電話下單進行交易——這簡直不可思議。在不久的將來，人們同樣將無法想像沒有人工智能輔助，是怎麼做交易和決策的。
下文我們將概述： 1. **Edgen 的存在目的** 2. **Edgen 如何實現願景** 3. **Edgen 當前主要產品（及其未來潛力）**
# Why： Edgen要解決什麼痛點 旨在解決加密市場的核心痛點
**Edgen 處於社交媒體、加密貨幣市場和人工智能的交匯點，旨在整合三者的優勢，為交易者提供更明智的決策。** 為什麼要整合這三個領域？ 因為它們形成了一個複雜的系統，就像三體問題一樣，彼此之間以不可預測的方式相互影響。忽略任何一個領域都可能導致市場盲區。Edgen 的核心洞見和解決方案在於認識到交易者需要同時具備這三種視角（基於市場基本面、社群情緒和人工智能的分析能力）。隨著鏈上交易變得越來越普遍，這種綜合能力在加密貨幣交易中不再是可有可無的，而是必不可少的。 \ 為了闡明 Edgen 的願景，我們將深入研究每個領域的機遇和挑戰： **A）加密貨幣的強週期性和瞬息萬變的特性，B）社交媒體信息的碎片化，以及 C）人工智能交易能力的不斷提高。** # 如何成為聰明錢是唯一的週期共識
**加密貨幣市場的唯一不變就是它的變幻莫測。**市場趨勢、熱門話題和週期不停更迭，新的代幣、NFT、賽道和板塊可能瞬間爆紅又迅速消失，這種波動性是加密貨幣市場表象的特性。 然而，在這些永不停歇的浪潮之下，有一個不變的「元市場」——即推動市場參與者的基本動力，在於最大化投資回報率（ROI）的逐利和成為“聰明錢”的追求。雖然市場在演變，敘事不斷更迭，但這個元市場本身依然如故。加密交易員常自嘲是 「 墮落者 」 （Degenerates，簡稱 Degens），但實際上他們是在加密世界的狂野西部中拼搏，追求美好生活的創業者。這些創業者推動了應用，推動了創新，推動了整個產業的進步。然而，諷刺的是，這個群體的絕大部分人，使用的交易和分析工具都還處於非常原始的階段。 **Edgen的宗旨是為這些富有冒險精神的交易者提供跨越週期，跨越敘事的市場優勢。**只要交易者尋求 Alpha，Edgen 就會提供協助。交易者追求最大化投資回報的目標始終如一，只是標的有所不同。 我們的願景是確保在下一個浪潮來臨時 — 無論是區塊鏈革新還是短期迷因幣熱潮 — 任何交易者都能通過 Edgen 乘風破浪，成為穿越週期的聰明錢。正如傳奇交易員彼得 · 林奇所言，我們堅信只要散戶只要採取正確的行動，人人都可以成就非凡。 然而，目前普通交易者與這些市場機會之間仍存在許多障礙。
# 社群資訊碎片化 加密貨幣市場充斥著大量資訊，但**資訊碎片化和資訊過載**是投資者面臨的兩大難題。由於加密貨幣市場全天候運作，有價值的資訊（Alpha）往往隱藏在海量且雜亂無章的數據中，例如不起眼的智能合約互動或轉瞬即逝的推文。儘管所有市場資訊都是公開的，但**有效地彙整這些資訊並提取其中的價值仍然是一個巨大的挑戰。** 此外，傳統金融指標不再適用於迷因幣等由炒作驅動的資產。**社群指標（pumpamentals，炒作面）**如熱度、社群關注度和社交聲量已成為評估此類資產的關鍵因素。真正的信號一直存在於市場中，只是被大量混亂的資訊所掩蓋。
這導致加密市場形成了不對稱的“玩家對玩家”（PvP）戰場。人工智能、機器人、巨鯨、內幕人士、關鍵意見領袖（KOL）等擁有信息或技術優勢的參與者，系統性地利用信息不對稱，將散戶交易者變成他們的退出流動性。散戶交易者無法即時監控、解析和分析不間斷的數據流，身心俱疲，即使在牛市中也感到無能為力。
大多數散戶交易者都是賠錢的，只有極少數人獲利。根據[Coinstats](https://coinstats.app/news/6cdbc4c3ea8ec60574f4a4acad5ddbcc181cd8508223227c0b1444985c317b47_Over-60-of-Pump.fun-Meme-Coins-Traders-Are-Losing-Money)數據顯示，90% 在迷因幣交易平台 Pump.fun 的用戶收益低於 100 美元或遭受損失。這種極端的柏拉圖分佈（Pareto Distribution）導致只有極少數的贏家勝出。散戶交易者並非缺乏交易能力或執行力，而是輸在沒有更好的信息渠道和擇時選擇。這種不公平的情況在贏家中同樣普遍，只有不到 0.003% 的交易者獲得了超過 1 百萬美元的收益。
**Edgen 的首要任務是讓競技重新變得公平，使普通交易者處於更有利的地位** —— 換句話說，就是要改變現有的不公平局面。Edgen 希望在人工智能的幫助下，將無序的市場噪音轉化為有序的即時信號，確保散戶和華爾街量化基金站在同一條起跑線上，讓 「 小蝦米 」 也能像 「 鯨魚 」 一樣消息靈通，像 「 鯊魚 」 一樣敏捷。 Edgen 認識到加密市場存在信息過載的問題，因此利用超越人類能力的人工智能來解決這個核心挑戰。
#### # AI未來的交易能力將遠超人類
**AI 的閱讀、分析、整合資訊能力已經超越人類， 未來甚至可能出現超指數級的成長。**AI 能夠即時處理大量數據、發掘機會，能力遠超個人。AI 帶來的範式轉移，如同從騎馬到開車，徹底改變了事物運作的方式。AI 加密交易不再是少數人的專利，而是每個人都能把握的機會。 乍看之下，加密和人工智慧似乎是兩個截然不同的領域，但實際上它們之間有著密切的聯繫——就像金融和互聯網一直以來都是相互依存的關係。事實上，現代人工智慧的起源可以追溯到第二次世界大戰期間，當時艾倫·圖靈的早期計算機幫助破解了加密信息。如今，歷史正在以一種不同的方式重演：Edgen 的人工智能正在解讀加密市場的複雜性。 區塊鏈與 AI 的融合，能讓我們即時監控整個加密世界，但大多數 AI 加密產品並未解決資訊過載的問題。 **我們真正的解決方案是：運用 AI 從大量資訊中篩選出有價值的情報。** **金融市場瞬息萬變，複雜程度已超出了人類的掌控能力，我們正處於金融史的關鍵時刻。**去中心化金融（DeFi）本應讓金融更易參與，但目前依然複雜，AI 的出現正好可以化繁為簡。 **在當今市場中，交易者若不善用 AI，就有可能被淘汰。**這並非危言聳聽，從其他交易市場可見一斑：現在超過一半的美國股市交易量由算法執行（資料來源：[Investopedia](https://www.investopedia.com/articles/investing/091615/world-high-frequency-algorithmic-trading.asp#:~:text=Algorithmic%20trading%20%20,trading%20as%20of%202023)），在外匯等市場，自動化系統完成的交易量更超過 90%。機器反應更快、處理更多數據，高頻交易演算法可以在毫秒甚至微秒內完成下單，這樣的速度是人類反應所無法企及的。AI 的預測能力也不容小覷：一項研究顯示，某 AI 模型預測財務表現的準確率約為 60%，而人類專家約為 55%（資料來源：[Money](https://money.com/ai-vs-human-financial-analysts/#:~:text=The%20findings%2C%20from%20researchers%20at,and%2057)）。儘管只有幾個百分點的差距，在交易中也是巨大的優勢。 **Edgen 的願景是將 AI 和人類智慧結合，利用 AI 來增強人類交易能力，而非取代人類。**Edgen 相信 AI 與交易員的協同合作能達到最佳效果：AI 提供不間斷的數據處理能力，人類則負責制定策略、提出正確問題並提供見解。結合鏈上數據、社群情緒和 AI 分析，Edgen 能夠提供人人可及的核心市場洞見，協助交易者獲得全面的視野。用史蒂夫・賈伯斯的比喻來說，就是一台「交易思維的自行車」。Edgen 就像是交易思維的自行車，能夠輔助交易者，讓交易者在交易的道路上走得更遠更快。 **Edgen 堅信，這樣的 AI 盟友是加密交易的必然未來，它將協助交易者，釋放人類的交易潛能，讓最普通的投資者也能轉變為聰明錢。** \
# How：Edgen的原則與使命 Edgen 的路線圖
在了解 Edgen 致力解決的核心痛點後，下一個問題自然是 Edgen 將如何實現這一目標。Edgen 是一個長期主義的項目，我們有清晰的核心定位，並擁有務實且可落地的開發路線圖。我們將逐步開發產品，打造一個兼具去中心化、開放性和社區參與的產品，朝著願景邁進。
**我們的使命是為交易者提供清晰、可操作的見解，助其在信息過載和碎片化的金融市場中做出明智的交易決策。**
# Edgen的核心原則 長期可持續的實用主義 加密市場變化迅速——可能是每月、每週，甚至每天都有新的趨勢、資產和敘事湧現。在這個領域，創新從未停歇。項目開發者通常試圖預測未來的變化，問自己：「未來 5 到 10 年內，加密領域會有哪些改變？」 **然而，更關鍵的問題是：「未來 5 到 10 年內，加密領域什麼是不會改變的？」 理解這些不變的核心原則，更能幫助我們打造一個能夠跨越市場週期、始終”有用”的產品。** Edgen 的產品理念，旨在打造不受市場週期影響的核心產品。無論市場牛熊，我們都致力於持續改進 Search、Radar、Insights 和 Aura 等產品，消除行業痛點，為交易者創造價值。我們的目標是打造一個無論在 Defi Summer 或是 NFT 寒冬，都能為交易者提供 Alpha 獲利機會的常青平台。
**建立專屬的護城河**
Edgen 的長期優勢並不能單靠先進的 AI 模型或卓越的交易功能來保證。在當今這個開源和瞬息萬變的環境下，任何功能都可能會被複制。 項目的成功源於多方面的因素，它不僅是在打造一個優秀的產品，還需要具備自分發與裂變的能力。對於AI產品而言，護城河不僅依賴於卓越的產品設計和用戶體驗，還需要具備以下核心特質：網絡效應、裂變能力、降低用戶獲取門檻，以及提供促進用戶留存的激勵機制。這些深層次的優勢難以被輕易複製。 Edgen 的護城河體現在其閉環的 Aura Farming 激勵系統（詳見第 3 節）。該系統通過用戶提供的洞察，不斷訓練並擴展 AI 的能力邊界，利用集體智慧在跨週期中持續增強平台的核心競爭力。 這種由人類洞察驅動、AI 精煉強化的集體智慧，使 Edgen 能夠在快速變化的市場中保持持久優勢，並建立起難以被競爭者複製的獨特壁壘。
為實際體現這些基本原則，Edgen 構建了一個精密的多層次 AI 系統，專為精準性、可擴展性以及加密貨幣原生智慧而設計。
# 可持續發展的收入模式 Edgen 有一個可持續發展的收入模式，在不稀釋用戶價值的基礎上，與用戶和交易者的利益緊密結合 Edgen的收入策略充分利用EDGM（Edgen的專有AI協調模型）的策略能力，明確分為多個層次，收入來源與用戶參與深度和所需服務複雜度緊密對齊：
### 基礎搜索服務 (免費) Edgen標準搜索、雷達、洞見和Co-pilot基礎版是免費的，以確保產品的廣泛採用並促進無障礙進入平台。 ### Edgentic AI應用商店 （免費增值訂閱模式): 用户若需更深入的分析及專業的Edgentic工作流程，可透過高級訂閱解鎖進階功能。高級訂閱者可獲得： * 進階版 * AI Co-pliot （技術分析、量化功能、鏈上狙擊、宏觀分析） * 定製化分析和市場洞察 * 透過MCP工具實現的AI工作流（Workflow）和AI任務編排（Orchestration） ### 交易執行層 (根據交易的按次收費）： Edgen會根據用戶的交易行為透明的進行收費，包含: * 鏈上交易和兌換 * 資產管理和跨鏈收益理財 * 與可執行交易結合的數據面板和深度分析功能 ### 混合數據層（B2B和機構數據合作服務）: Edgen的混合數據層專為企業、意見領袖和機構實體設計，提供定制化市場洞察和全面的鏈上CRM功能。這些高階產品專為企業、意見領袖（KOL）和機構實體設計，將有更多維度的分析、獨家數據和及客製化用戶體驗。 *** Edgen的主要收入模式是提供AI代理服務，通過專業化、高參與度的AI驅動服務捕捉顯著價值，並生成寶貴的情報。 通過這些不同的收入來源，Edgen確保內建的長期可持續增長、用戶對齊和差異化，穩固確立其作為終極加密原生AI超級應用程式的地位。
# Edgen AI 核心 “EDGM” - Efficient Decision Guidance Model Edgen是一個多代理系統，專為加密原生智能和用戶體驗而設計。 **Edgen的核心是高效決策指導網絡** ( **Efficient Decision Guidance Model, EDGM**)，**這是Edgen通過專有AI（Proprietary AI ）架構開發大語言模型（LLM）在市場分析和精準交易執行中的巨大潛力。**EDGM協調數據流、分析工具和專業代理，高效地將用戶查詢從Edgen的界面（網站、應用程序或擴展）直接引導至理想的工具和資訊來源。這樣，Edgen顯著提升了LLM的性能，無需持續重新訓練或微調。換句話說，如果最先進的LLM變得更好，Edgen也會自動變得更好。某種程度上，**Edgen的EDGM對於LLM，就如同Nvidia的CUDA對於GPU的作用**。
EDGM就像一個AI交通指揮官，優化每個查詢的回應。 EDGM作為Edgen的核心模塊，使整個系統能充分發揮LLM的優勢，同時減輕其固有局限性： * 工具過載：EDGM有機的選擇最佳工具或數據來源，從模型上下文協議（MCP）中為每個任務挑選，確保精準高效的行動，避免資訊過載。 * 上下文窗口限制：僅挑選與任務最相關的資訊，而不是盲目將大量數據塞入LLM的有限上下文窗口，保持提示簡潔且聚焦於重點。EDGM挑選僅相關的高信號資訊，確保LLM的上下文保持簡潔，並在最佳性能範圍內。 更重要的是，EDGM的精密協調不僅限於數據收集或分析。其設計已準備好直接整合執行命令，將Edgen轉化為一個全面的交易夥伴，能夠進行實時分析、精準決策指導和即時交易執行。有了EDGM，Edgen不僅提供洞察，還能無縫將洞察直接轉化為市場行動。 EDGM的另一獨特優勢在於其加密原生特性。通過分析細粒度的實時區塊鏈數據（如用戶交易歷史或投資組合構成），EDGM能夠提供專為每個用戶個人檔案量身定制的洞察和推薦。其結果是具備上下文感知、超個人化的智能，將交易體驗提升至前所未有的水平。 具體來說，EDGM由以下獨特但高度互聯的層次組成： ## 認知層（Cognitive Layer） 基礎認知層承載EDGM，並利用先進的語義嵌入方法。它負責協調用戶提示路由，與全面的MCP工具庫、專有加密貨幣和社交數據集，以及Edgen的去中心化GPU算力設施（DeGPU）互動，從而在既有LLM的基礎上增加去中心化的公開數據庫，以增進數據的透明性和響應速度。 ## 代理層（Agentic Layer） 代理層是專業AI代理（Edgen Co-Pilots）的所在地，每個代理都專為特定市場任務設計，例如宏觀經濟分析、實時鏈上追踪或利基生態系統洞察。每個Co-Pilot利用EDGM的協調能力，高效與適當的MCP工具互動，確保在每個分析或執行場景中的精準性。 ## 執行層（Execution Layer） 執行層將EDGM衍生的洞察直接轉化為可操作的市場策略。它支持捆綁執行、自動排程任務、高級投資組合管理、跨鏈收益耕作，以及與去中心化（DEX）和中心化（CEX）交易所的無縫互動。EDGM的架構確保從智能分析到即時市場執行的流暢過渡。 ## 數據層（Data Layers） Edgen的數據層聚合並處理細粒度的用戶特定資訊，如交易行為、歷史交易和社交網絡互動。這些數據提升了EDGM的預測準確性，實現高度定制化的洞察，顯著改善個人交易成果。 *** 有了EDGM作為核心，Edgen不再是單純的“LLM閱讀加密貨幣和社交數據”。它反而是一個全面、輕量級、實時的AI工作流程自動化解決方案，專為交易者設計，所有複雜性都被抽象化，在用戶界面上不可見。EDGM確保Edgen的持久適應性、速度和可擴展性，隨著市場演變快速整合新數據來源和分析工具。 \ 通過充分利用EDGM作為Edgen的策略護城河，Edgen確保了可持續增長、深度用戶對齊，以及一個專為市場分析和直接執行優化的強大、面向未來的AI架構。 # 未來的潛力: AI應用市場 & Edgen應用鏈 我們深信 Edgen 代表著去中心化、無需許可的智能平台的未來，因此我們拒絕傳統封閉式 SaaS 平台模式，堅定朝向去中心化、開放、可組合的未來發展。 為實現這一願景，Edgen 應用鏈和開放的 AI應用市場必不可少。這些要素反映了我們以社區和開放為先的產品路線圖，將分階段實施 — 從最初的“學步”階段，逐步過渡到一個穩健的開放、自主網絡。
**AI應用市場（Edgentic Marketplace）** Edgen 打算建立一個由 AI Agent主導的應用市場，第三方開發者或交易者可以在此基礎上開發，並為社區提供創新的交易解決方案。例如，開發者可以創建一個根據 Edgen 信號自動執行狙擊交易的機器人；也可以開發專注於代幣空投或結合社交和鏈上數據的市場特定指標的 AI 代理。 市場將提供不同版本的 AI Agent，基礎版免費向所有用戶開放，更專業化的代理則需付費，以此支持持續的創新和開發。 Edgen 還計劃提供 SDK，允許第三方將 Edgen 的智能直接整合到他們自己的平台和應用中，進一步擴展 Edgen 的可組合性、開放性和生態影響力。 **Edgen 應用鏈** Edgen 也在探索構建專屬應用鏈，以最低成本、完全透明的方式記錄關鍵活動（例如數據貢獻、聲譽變化和交易策略執行），並為產品提供更多存儲空間、更優性能和 AI 定制開發。 通過應用鏈，Edgen 能夠在鏈上層面實現定制邏輯，例如專屬智能合約和社區鏈上治理，鞏固 Edgen 作為開放協議的地位。其他去中心化應用（dApps）可以無需許可地查詢 AI 資訊、Aura 聲譽分數，或接入雷達信號用於它們自己的界面，這也為未來的去中心化算力整合提供了基礎，強化了 Edgen 開放、可組合的基礎設施願景。 **AI應用市場與應用鏈的結合勾勒出 Edgen 的終極目標**——不僅僅是另一個商業平台，而是加密市場中的公共事業——開放、可擴展且主要由社區治理。我們的路線圖將在的去中心化的願景與務實發展之間取得平衡。最初的中心化結構（以保證早期的速度和質量）將隨著生態系統的成熟而逐步去中心化。 簡而言之，Edgen 的戰略願景是打造一個開放且無需許可的知識社群，逐步實現一個由集體市場智慧驅動的自主網絡。
# What: Edgen的核心產品 隨時隨地，全天候找到Alpha Edgen的生態系統包含多個相互關聯的產品，明確設計以涵蓋交易者市場旅程的每個關鍵階段，並以各自的方式融入AI。這些產品共同確保持續提供Alpha（超額回報），無論市場是看漲、看跌還是橫盤震盪，確保用戶始終保持優勢。 \ 所有Edgen產品——Search、Co-Pilots、Radar、Insights——由EDGM（高效決策指導網絡）統一，確保無縫整合、極速洞察和精準執行。EDGM以各自的方式賦能每個Edgen產品，充分利用進階LLM分析，將複雜數據轉化為即時清晰度和行動。
下文將逐一介紹 Edgen 1.0 版本的產品，包括 Search、Radar、Insights 和 Aura。Edgen 後續的版本將通過社群意見和持續優化，實現顯著的進化。
# Edgen AI 搜索：深度挖掘加密Alpha 對Alpha的深度求索 Edgen Search 是您的智能交易夥伴，能即時回答有關加密資產、人物或市場事件的問題。當您發現一個有趣的新項目卻沒有時間深入研究時，Edgen Search 能在幾秒鐘內為您提供簡明的概覽：總結該項目的鏈上活動、突出 Twitter 上的熱門討論，並展示最新新聞。Edgen Search 就像您的個人分析助理，為您不間斷地閱讀每個區塊鏈瀏覽器、Twitter 討論串和新聞網站。
無論您是想快速掌握最新的熱門敘事（例如“流動質押衍生品”或迷因幣熱潮），還是想深入研究某項資產的基本面，或者只是想了解大家對某個項目的看法，都可以通過Edgen Search的AI查詢引擎，它能讓您掌控全局并保持領先。您可以要求它用簡單易懂的語言（或任何語言）解釋概念、總結某代幣的用途、分析鏈上活動，甚至了解社交情緒的脈動。
Edgen Search由EDGM引導，該模型動態整合所有相關來源——包含鏈上指標、價格和交易量的技術信號、社交媒體討論和情緒等——形成一個集體智慧的答案，觸手可及。我們在每個回應中微妙地融合基本面、技術面和社交數據，讓您獲得360°全景視角。 *例子:* *想像一下，我們的朋友 @ChangpumpWow 短暫離開了Twitter一段時間。他重新登入，看到時間軸上充滿了對「流動質押衍生品」（Liquid Staking Derivatives, LSDs）的熱烈討論。感到不知所措且脫節，他向 Edgen Search 詢問：「給我一個關於流動質押衍生品的精簡摘要，為什麼大家都在瘋狂湧入它們？」*

(Edgen Beta版本)

(Grok版本)

Edgen Search 會立即為他提供三句話的摘要，概述目前正在發生的事情，隨後基於社交媒體快速整合詳細信息，並提供可立即採取行動的方案。@ChangpumpWow 會在瞬間補充認知，可以設置交易策略或加入 Twitter 討論流。Edgen 將耗時數分鐘或數小時的繁瑣研究轉化為幾秒鐘的清晰洞察。
**簡而言之，Edgen Search 通過查詢所有加密貨幣知識的集合，並立即幫您獲得有洞察力的答案。**如果你禮貌地提問，它甚至可以很幽默。有了 Edgen Search，過去需要花數小時點擊數據面板和瀏覽社交媒體的研究過程，現在被壓縮成一個簡單的問答。你不會因為沒熬夜刷 Twitter 而錯過任何資訊，因為 Edgen 已經幫你完成了這些工作。 ### Edgen深度搜索（Deep Search） \ Edgen深度搜索同時激活多個並行AI推理流，直接接入更廣泛且精準的實時數據來源、API和直接鏈上資訊。 * 多重並行推理：與常規Search的單線程思維不同，Edgen深度研究同時協調多個分析視角，確保全面的市場覆蓋和深入分析。 * 鏈上直接解析：Edgen深度研究直接解讀細粒度的鏈上數據，捕捉錢包交易、智能合約互動、流動性流動和精準區塊鏈狀態中的細微信號。 * 超即時數據精準度：它以最高新鮮度和精準度聚合市場數據、社交情緒、鏈上事件和新聞，生成深度和準確性極高的洞察。 Edgen深度搜索代表了AI驅動市場情報的重大飛躍，專為需要最深入洞察和最準確預見的任務而設。深度搜索提供無與倫比的全面性，非常適合您最苛刻、細緻的查詢。但有時，與其追求全面性，您可能需要即時可用的專業知識。這時Edgen Co-Pilots便登場，作為Edgen深度搜索的補充。
# Edgen Co-Pilots：為每項交易任務打造的專業代理
Edgen Co-Pilots是專注於任務的專業AI代理，專為簡化特定的加密貨幣情報和交易任務而設計。利用我們的EDGM和MCP架構，每個Co-Pilot精準協調數據、工具和鏈上信號，提供針對特定用例的清晰、可操作的洞察。
Co-Pilots標誌著朝向充滿活力的Edgentic市場的第一步，在這裡用戶可以無縫發現並激活為各種加密貨幣情境量身定制的AI專業知識。\ 每個Edgen Co-Pilot處理一個獨特的研究或交易利基，目前包括： * 加密新聞與影響 * 尋找迷因幣 * X平台熱門 * 最新融資 * 宏觀經濟解碼器 * 股票分析器 * 鏈上狙擊手 * 技術分析預言者 * 生態系統低語者 * 推文代筆者 * Pre-TGE檢測器 * 甚至還有垃圾話生成器。 Edgen的模組化AI架構和MCP工具框架意味著新專業Co-Pilots的可能性幾乎無限，將持續進化以涵蓋所有可想像的市場情報和執行需求。 # Edgen AI 雷達: 即時獲得Alpha消息
**Edgen Radar 透過一個即時數據面板，整合傳統指標（基本面和技術面）以及加密貨幣特有的社交炒作信號**（如： KOL 的提及、智能錢包的大額買入、Twitter 的關注），讓用戶可以快速掌握市場狀況和社群情緒，洞察當前市場形勢。 **這種一目了然的視圖，將基本面、技術面和社交數據整合在一起，幫助交易者節省了大量時間，免去了手動刷 Twitter 或不斷刷新各種分散數據面板的麻煩。**Radar 能夠即時識別當前引發市場關注的代幣和板塊。Radar甚至比主流追蹤工具更早捕捉到此前默默無聞、突然出現大量智能錢包買入或KOL歸主的代幣，並立即將其標出。這是一個早期機會預警系統：例如，如果某個項目在Twitter上被聰明賬戶熱烈討論，Radar將會突出顯示。通過將基本面、技術面和社交數據整合到一個視圖中，您可以觀察到他人可能錯過的模式和異常點。所有這些都由Edgen的智能檢測管道在幕後支持，持續掃描和關聯信號，實時更新Radar。 *例子：* *試想一下 @MustardMurad——這位人見人愛的「Degen」，在凌晨兩點漫無目的地刷屏尋找暴富機會。正當他昏昏欲睡時，他打開了 Edgen Radar，突然發現一個名為 "$GIGAPUMP" 的代幣飆升至雷達的榜單首位。雷達儀表板顯示出看漲突破形態（交易量激增），並標出正在討論它的KOL。* *Mustard 沒有錯過這個關鍵訊號，立刻買入。等到多數交易者醒來時，$GIGAPUMP 已經翻倍。Mustard 會心一笑——多虧了 Edgen Radar，他正式晉升為「聰明錢」的一員。* ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfD64BCP-dK7PMM23Z4ERhohVz0-KpopiHLeYK0HhYVul9SQoZMxXUyY_dpwo76T8LLY-ewK4ZHSlmRYvVmb11WQlB5_J9huiap89XhLTBtYdnBxGZda3HKfoWnKBep46kvDFKIyQ?key=ZlMPT9CP0h8UjZqBGo6WRsrf) 因此，Radar 成為了加密市場的「心跳監測器」。當前市場是風險偏好（risk-on）還是風險規避（risk-off）？哪些板塊正在獲得趨勢動能？哪些代幣的社群突然從沉寂中活躍？交易員不用再自己拼湊這些資訊，Radar 以乾淨且可排序的格式為你提供這些脈動。 只要盯著 Radar，你就不需要再費力尋找 Alpha——那些鯨魚的動向以及社群情緒的潮流會以實時的方式清晰呈現。
# Edgen AI 洞察: 讓社群成員為您找到Alpha
通常情況下，加密貨幣領域最出色的交易建議往往來自敏銳的分析師，他們能及早發現那些容易被人忽略的蛛絲馬跡。**Edgen洞察（Edgen Insights）旨在利用這種集體智慧， 匯集來自經驗豐富的分析師的見解，為用戶提供及時有效的資訊。**Feed 是由 AI 和社群成員共同管理的信息流，包含來自經過驗證的社區分析師的交易洞察和市場預測。 Edgen洞察 的運作方式如下：分析師直接在 Twitter 上發布交易建議或預測，這些內容也會同步顯示在the social feed 中。舉例來說，分析師可能會發布一條推文，指出“由於事件 Y 即將到來，代幣 X 被低估，預計到年底價格將達到 Z”。這篇推文都會明確標記時間戳，以便準確追蹤分析師的表現。持續做出準確預測的分析師將建立起可驗證的記錄，通過 Aura（下文解釋）進行量化。關注這些分析師的人可以輕鬆獲得這種經過驗證的 Alpha。 普通交易者可以洞察在中關注自己感興趣的分析師，並找到適合自己的Alpha。例如，關注擅長發掘DeFi金礦的分析師A，或者擅長發掘早期迷因幣的分析師B。優秀的分析師因其在挖掘、分享和發現Alpha方面的貢獻，將會獲得Aura獎勵。 Edgen的AI將自動協調（Orchestration）並優先排序這些來自社區的集體洞察，確保用戶在信息出現時看到最相關且可信的呼聲。 **Edgen洞察將頂尖交易者轉變為“AI 賦能的分析師”**。 這些分析師的個人專業知識與 Edgen 的智能工具（Search、Radar）相輔相成，使他們能夠發現用戶快速增長但鮮為人知的項目，或者在代幣價格變動之前察覺到社區情緒的變化。 這些獨家見解僅在Edgen洞察中提供，是您專屬的全天候專業分析師團隊。 *例子:* *想像一下 Chadtoshi Gigamoto，一位加密貨幣交易者，被困在一家著名快餐連鎖店要求苛刻的日常工作中。無法每時每刻關注加密市場的他，極度依賴 Edgen 洞察 來留意有前景的趨勢。一天下午，他收到來自他最喜歡的分析師 Vitamin Bucolic 的警報，這位分析師因在 Edgen 上持續提供準確的 Alpha 建議而聞名。* *Chadtoshi 對 Vitamin 經過Aura驗證的準確性充滿信心，立刻跟隨了這條建議。一個月內，他持有的代幣價格飆升，Chadtoshi 的加密投資組合顯著增長——而他無需犧牲工作時間。多虧了 Edgen Feed，Chadtoshi Gigamoto 輕鬆地利用了人類與 AI 的共同智慧，充分轉化了他獲得的 Alpha 優勢。* ![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXebQKZQgp1L5OqVmv2lRFIJ1krp_6LARngHb_KrplytkaAZVs-T2YCRM_Do4W8BQEnFgW2xzYoAo2R73n9i-f0-u9tJRNbTHRnQFniXPv-OHz_Rnq-oHCybCe0rJGEBhWLyP1iShA?key=ZlMPT9CP0h8UjZqBGo6WRsrf) **總而言之，您可以通過關注洞察來關注擅長挖掘 Alpha 機會的人的預測和內容。**系統將獎勵那些做出成功預測的人，因為他們不僅幫助了其他用戶，還為 AI 訓練提供了貢獻。通過這種正向循環，關注洞察上的優秀分析師就像擁有一個精英交易團隊為您工作一樣——每個人都有自己的專長，例如監控治理代幣所有 DAO 提案的分析師，或者緊跟迷因幣趨勢的專家。如果您擅長發現某些機會，您也可以分享您的見解並贏得 Aura。
# Aura 信譽系統：以更好的訓練和擴散AI Aura是一種訓練AI和分發影響力的信譽系統
Aura 是 Edgen 獨創的激勵機制，旨在獎勵為平台做出貢獻的交易者和分析師。Aura 獎勵用戶參與 Edgen AI 訓練，以及在社群中分享有價值的市場洞察。 Aura 不是一種可交易的代幣，而是量化和表彰用戶在 Edgen 生態系統中貢獻和影響力的一種手段。 **Aura 點數如何運作：** * 當您向 Edgen 提供有價值的內容（AI 訓練）或幫助 Edgen 社群成長（社群分發）時，您將獲得 Aura 點數。這代表您對 Edgen 智慧和影響力的貢獻。 * 擁有大量 Aura 點數的用戶將獲得認可，並有權審核其他人的 Alpha 帖子以獲得更多 Aura 點數，未來還可能獲得更多特權。 * 這種機制創造了一個互惠互利的循環：用戶幫助 Edgen 成長，Edgen 進而變得更加智慧、實用和廣為人知，這反過來又使用戶受益，並吸引更多用戶加入平台。 Aura 激勵機制確保用戶的參與不僅提升了平台的能力，也為他們自己帶來回報，同時推動 Edgen 的持續成長。
**Aura 是 Edgen AI 訓練數據的催化劑，它可將社群分析和市場預測轉化為可用的數據。所有**用戶通過Aura輸入的數據都在系統性地優化Edgen AI（特別是我們的私有模型和知識庫），無需重新訓練核心大語言模型（LLM），使其預測智能更加精準。每一次分發都會將更多注意力（和更多數據）帶入 Edgen AI 的影響範圍，從而創建一個不斷擴展的獨特洞察池和歷史數據庫。隨著時間的推移，Edgen 學到的越多，大家的收益也就越大。這就是我們的裂變飛輪：一個社區與 AI 共同成長的正循環。 Aura捕獲、量化和代幣化我們的交易知識，使無序轉化為價值，同時也形成真正的人工市場智能。我們相信，隨著AI技術的商業化，擁有更大的集體智能，就相當於擁有更大的護城河。 需要注意的是，Aura的分發機制本身部分由AI驅動，部分由社群驅動，確保僅有高質量、經過篩選和驗證的數據能持續增強Edgen的AI，從而創造無與倫比的準確性、社群信任以及大規模的持續集體智能。
**Aura分發框架（Aura Distribution Framework）**
Aura 獎勵池分為兩個部分：30% 的分發池和 70% 的訓練池。當用戶創建符合 Aura 獎勵條件的內容時，內容會經過多層篩選流程以決定 Aura 獎勵的數量。分發池獎勵分享見解的用戶，訓練池則獎勵創作對 Edgen AI 有用內容的用戶。
* 分發池 Distribution Pool (30%)
進入分發池的標準很直觀。要從分發池中獲得獎勵，用戶在 Twitter 上的帖子必須滿足以下條件： * 包含任何加密貨幣（如$BTC, $SOL, $ETH等） * 標記 @EdgenTech 的官方推特 * 通過 AI 相關性查驗，以確保內容確實與加密市場有關，而不是無關或是無效話題 * 在 24 小時內獲得至少 3000 次曝光，獲得了一定曝光度 如果您滿足所有標準，幫助 Edgen 傳播有價值的信息，您將獲得 Aura 獎勵。
要獲得下一輪獎勵池的資格並贏得更多 Aura，推文必須包含 Edgen Radar 前 500 名代幣。接著，內容將通過一系列嚴格的篩選和驗證，以確保只有最高質量的數據用於訓練 Edgen 的 AI。 * 訓練池 Training Pool (60%) 在 Edgen 的訓練池中，獎勵分為多個層級，確保提交的內容經過嚴格評估，從而促進高質量內容的產出。 第一層：AI 評分 （⅓） 提交的內容首先由 Edgen 的 AI 評估，檢查客觀標準（如主題相關性、原創性和內容質量）。 只有達到特定 AI 評分門檻的內容才能進入下一階段，並獲得 Aura 獎勵。 這確保了內容的基本質量和相關性，過濾掉低質量或垃圾內容。
第二層：社區評分 （⅔） Edgen 社區成員將對 AI 評估的內容進行評分。這些成員具有較高的 Aura 值，或者在加密 Twitter 上享有良好聲譽。內容將以匿名形式分發給 Aura 值較高的用戶評分，以確保真正優秀和有價值的內容獲得 Aura。此外，標準化算法可防止任何人操縱投票系統。該算法將通過算法判斷評分者是否真實投票，而不是隨意投票，確保評估過程的公平性。 \
![](https://lh7-rt.googleusercontent.com/docsz/AD_4nXfFAipaucIrPoBpwR5dM-RBcHRoAfNO-n8Fs_y_bX5qJ-H4XNrjKF3NPW6XJsF2qhHGafWyZsNr3s_knpgCPje6-oxQCDLTV-dl06CMWwaALbPVCRdAPWgolPqDQGyF97nM9SHbZw?key=ZlMPT9CP0h8UjZqBGo6WRsrf) * 額外獎勵: 專家審核獎勵 Human Expert Evaluation (10%) 最後，擁有高 Aura 值且在加密 Twitter 上具備影響力的專家用戶將參與內容評分。他們將成為 Edgen AI 的內容質量防火牆和評審員，並因審核和篩選他人創作的內容而獲得剩餘的 Aura 獎勵。這類似於資深分析師大規模審查初級分析師的工作，是一種持續提高標準的方式，還能讓經驗豐富的社區成員參與 AI 訓練。
這種漏斗狀的金字塔模型可確保只有經過驗證的高質量見解才能成為 Edgen AI 的數據源。如此一來，Edgen AI 能夠創造出準確性能被社區信任和可持續的集體智能。 *例子:* *加密分析師 Vitamin Bucolic 發現了一個前景看好的協議，該協議呈現出強勁的鏈上增長、活躍的 GitHub 活動、看漲的技術形態以及 KOL 在 Twitter 上的背書。* *Vitamin 在一篇推文中標記了 Edgen，詳細分析了 Radar 前 500 名市值代幣的其中之一，因其深度和原創性通過了 AI 評分，一夜之間達到 5 萬次曝光。Vitamin 立即從分發池中獲得 Aura 獎勵。社區驗證了他的發現，認可其 Alpha，使他的 Aura 大幅提升，同時該內容豐富了 Edgen 的 AI 模型。Vitamin 的貢獻增強了集體智能，強化了 Edgen 的良性循環。* Aura 點數系統將一般交易者、加密分析師和 AI 智能三方利益結合起來。透過向 Edgen 提供數據和知識，用戶可提升 Aura，Edgen 也將變得更聰明、更受歡迎，為用戶提供更好的市場洞察。社區實際上是在共同創建 AI 的知識庫並擴展其影響範圍，這使得 Edgen 不僅僅是一個產品，而是一個不斷進化欣欣向榮的社區且越來越聰明的“大腦”。每個人發現並分享的 Alpha 不僅惠及自己，還訓練 AI 惠及所有人，這也會鞏固 Edgen 作為加密市場情報中心的地位。 **隨著時間的推移，個人累積的 Aura 將成為獨一無二的歷史記錄，證明哪些人貢獻了哪些見解、哪些人因深刻分析而獲得榮譽。**這種累積的 “業力” 將顯示在用戶個人資料上，未來還將有更多實際用途 —— 例如，高 Aura 用戶可以為去中心化 AI 貢獻計算資源，或者在 Edgen 轉變為 DAO 時獲得治理權。但從根本上說，Aura 是訓練證明和分發證明，獎勵市場知識發現和知識傳播。因此，Edgen 是由您協助訓練，並且可以信任的 AI，因為您見證了它的學習過程。Edgen 的成功即是您的成功。在 Edgen，您就是聰明的資金。 \ \
# 讓您的 Alpha 之旅從此刻啟程 跟我們一起乘風破浪的旅程 **從用戶在 Search 上的第一次查詢，到在 Radar 上發現炙手可熱的新代幣，再到在Insights 上追隨專家建議，甚至未來通過市場打造新工具——Edgen 的每一部分都致力於將信息轉化為知識，將洞察轉化為優勢。** Edgen 是一個包容性平台，歡迎量化交易者和迷因幣交易者等各類用戶，致力於打造一個以數據為導向，兼具專業性和 Degen 氛圍的環境，任何人都可以無門檻地加入。 Edgen 的設計理念是：它作為一個由社群共同創造的市場大腦，是一個能夠持續學習的動態系統，透過每一次的查詢、每一位用戶以及每一筆資料，不斷進化，變得更加智能、更加實用。Edgen 的基礎是永恆不變的投資原則和邏輯激勵，目標是建立一個終極的知識社群，讓社群成員能夠在透明、協作的環境中彼此賦能，持續強化知識。Edgen 不會取代你的判斷能力，而是增強你的能力。 有了 Edgen，“小投資者”終於能與“大玩家”站在同一起跑線上。事實上，隨著一群用戶和 AI 實時共享數據，“笨錢”和“聰明錢”的界限開始模糊——因為 Edgen 讓任何人都能成為聰明錢。 如果 Nike 能讓任何人成為運動員，YouTube 讓任何人成為內容創作者，Shopify 讓任何人成為創業者，Canva 讓任何人成為設計師，Cursor 讓任何人成為開發者…… **那麼，Edgen 就能讓任何人成為聰明的交易者。**
# 官方聯結 Website: Twitter: Discord: Telegram: