📱6. Key Features and Capabilities
6.1 Investment Analysis
6.1.1 Automated Tokenomics Extraction
DeLLM automatically analyzes and extracts key tokenomics information:
Token Distribution: Allocation across different stakeholders
Vesting Schedules: Lock-up periods and release timelines
Utility Analysis: Token use cases and economic flows
Inflation/Deflation Mechanics: Supply dynamics and monetary policy
Governance Rights: Voting power and decision-making mechanisms
6.1.2 Contract Risk Assessment
Comprehensive smart contract analysis:
Security Vulnerabilities: Automated detection of common exploits
Code Quality Assessment: Analysis of development best practices
Audit History: Review of third-party security audits
Upgradeability Analysis: Risks associated with contract upgrades
Centralization Risks: Analysis of administrative controls
6.1.3 Market Data Integration
Real-time market analysis and reporting:
Price Action Analysis: Technical indicators and trend analysis
Volume and Liquidity: Market depth and trading feasibility
Historical Performance: Long-term price and volume trends
Correlation Analysis: Relationship with other assets and markets
Market Cap and Valuation: Fair value assessment and metrics
6.2 Project Insights
6.2.1 Multi-Source Information Integration
Comprehensive project analysis from multiple sources:
Technical Documentation: Whitepaper and technical specification analysis
Team Background: Founder and team experience evaluation
Partnership Analysis: Strategic relationships and collaborations
Community Assessment: Social media presence and engagement
Competitive Positioning: Market position and differentiation
6.2.2 Investor Briefing Generation
Automated creation of professional investment briefings:
Executive Summary: Key investment thesis and recommendations
Risk-Reward Analysis: Comprehensive risk assessment and potential returns
Financial Projections: Revenue models and growth projections
Market Opportunity: Total addressable market and growth potential
Investment Recommendations: Clear buy/hold/sell recommendations with rationale
6.3 Strategy Generation
6.3.1 Trading Strategy Development
AI-generated trading strategies based on market analysis:
Technical Analysis Strategies: Chart pattern and indicator-based approaches
Fundamental Analysis Strategies: Value-based investment approaches
Arbitrage Opportunities: Cross-exchange and cross-chain arbitrage
Market Making Strategies: Liquidity provision and spread capture
Risk Management Plans: Stop-loss, position sizing, and portfolio protection
6.3.2 Portfolio Optimization
Advanced portfolio management capabilities:
Asset Allocation: Optimal distribution across different assets
Risk-Adjusted Returns: Sharpe ratio optimization and risk budgeting
Correlation Analysis: Diversification benefits and risk reduction
Rebalancing Strategies: Automated portfolio maintenance
Tax Optimization: Strategies to minimize tax impact
6.4 Wallet Tracking
6.4.1 Alpha Wallet Identification
Systematic identification of successful traders:
Performance Metrics: Risk-adjusted returns and consistency analysis
Trading Pattern Analysis: Identification of successful strategies
Timing Analysis: Entry and exit timing evaluation
Portfolio Composition: Asset selection and allocation analysis
Success Rate Tracking: Win rate and profit factor analysis
6.4.2 On-Chain Analysis
Deep blockchain analysis for investment insights:
Whale Movement Tracking: Large holder behavior and market impact
Institutional Flow Analysis: Corporate and fund investment patterns
Network Activity Monitoring: Development and usage metrics
Liquidity Flow Analysis: Capital movement between protocols
Market Manipulation Detection: Unusual trading pattern identification
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