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lemora-bot

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Advanced AI-Powered Trading Signals & Wallet Monitoring for Solana

www.lemora.dev

lemora-bot/lemora

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# Technical Architecture ## Overview The Lemora Wallet Tracker utilizes a modular architecture for scalability, maintainability, and performance. The system comprises several components, each responsible for specific functions. --- ## System Components ### 1. **Frontend** - Developed using React and TypeScript - Provides a responsive UI and real-time updates - Directly interacts with the backend for data rendering and user interactions ### 2. **Backend API** - Built with Node.js and Express - Handles requests from the frontend and external clients - Manages authentication, data retrieval, and processing ### 3. **Data Processing Layer** - Comprised of microservices for separate functionalities - Processes real-time data streams and aggregates results --- ## Architectural Diagram ![Architecture Diagram](architecture-diagram.png) --- ## Data Flow ### 1. **User Interactions** - Initiated from the frontend; the backend API handles the authentication and request processing - Responsive UI updates based on real-time data ### 2. **Data Collection** - Distributed microservices collect data from Solana blockchain nodes - Enriched with additional data from third-party APIs ### 3. **Real-Time Processing** - Event-driven architecture utilizes message queues for processing - Real-time analytics and AI models provide insights and alerts ### 4. **Data Storage** - Uses a combination of SQL and NoSQL databases for optimal storage and retrieval - Caches frequently accessed data for improved performance ### 5. **Security** - Implements industry-standard encryption for data in transit and at rest - Regular security audits and vulnerability assessments --- ## Microservices ### **Wallet Monitoring Service** - Continuously monitors specified wallets for activity - Sends notifications based on predefined triggers and conditions ### **Transaction Analysis Service** - Provides deep insights into individual transactions - Leverages AI for risk and strategy analysis --- ## Scaling Strategy - Auto-scaling components based on load and demand - Uses container orchestration for managed deployments --- ## Future Developments - Integration with more data sources for comprehensive insights - Development of additional machine learning models - Expansion into other blockchains and decentralized protocols --- ## Contribute For developers interested in contributing, please refer to our [Contributing Guide](CONTRIBUTING.md). For technical discussions, visit our community forums. --- For further information, contact us at support@lemora-bot.com.