# 3. Core Architecture

#### 3.1 System Overview

DeLLM employs a multi-layered architecture optimized for Web3 operations:

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**3.2.1 Investment Analysis Agent**

* **Tokenomics Evaluation**: Deep analysis of token economics and distribution
* **Contract Risk Assessment**: Smart contract security and functionality analysis
* **Market Position Analysis**: Competitive landscape and market opportunity evaluation
* **Financial Modeling**: Revenue projections and valuation models

**3.2.2 Market Intelligence Agent**

* **Price Action Analysis**: Technical analysis and trend identification
* **Volume and Liquidity Analysis**: Market depth and trading opportunity assessment
* **Sentiment Analysis**: Social media and community sentiment evaluation
* **News and Events Impact**: Real-time news analysis and market impact assessment

**3.2.3 Risk Assessment Agent**

* **Smart Contract Auditing**: Automated security vulnerability detection
* **Liquidity Risk Analysis**: Assessment of token liquidity and exit scenarios
* **Regulatory Risk Evaluation**: Compliance and regulatory impact analysis
* **Market Risk Modeling**: Volatility and correlation analysis

**3.2.4 Wallet Tracking Agent**

* **Alpha Wallet Identification**: Discovery of successful trading patterns
* **Transaction Analysis**: Deep dive into whale and institutional movements
* **Portfolio Tracking**: Real-time portfolio performance monitoring
* **Copy Trading Insights**: Analysis of profitable trading strategies

**3.2.5 Strategy Generation Agent**

* **Portfolio Optimization**: Asset allocation and risk-adjusted returns
* **Trading Strategy Development**: Algorithmic and systematic trading approaches
* **Yield Strategy Analysis**: DeFi yield farming and staking optimization
* **Hedging Strategy Creation**: Risk mitigation and portfolio protection

#### 3.3 Task Coordination Engine

The coordination engine orchestrates multiple agents to complete complex tasks:

* **Task Decomposition**: Breaking complex objectives into manageable subtasks
* **Agent Assignment**: Matching tasks to the most appropriate specialized agents
* **Dependency Management**: Handling interdependent tasks and data flows
* **Quality Control**: Validating agent outputs and ensuring consistency
* **Result Synthesis**: Combining multiple agent outputs into comprehensive reports



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