├── .DS_Store ├── LICENSE └── docs ├── README.md ├── _config.yml ├── api-reference └── index.md ├── architecture └── overview.md ├── contributing.md ├── getting-started.md ├── index.md ├── logo.png ├── roadmap.md └── technical └── dataset.md /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XanderRavenCypher/blockseek/365850be868daaeb9c314ed0becfd111ca21889c/.DS_Store -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2025 Yijie Cao 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /docs/README.md: -------------------------------------------------------------------------------- 1 |

2 | 3 |

4 | 5 | # 🚀 BlockSeek Documentation 6 | 7 | ### AI-Powered Blockchain Intelligence Platform 8 | 9 | [![Twitter Follow](https://img.shields.io/twitter/follow/blockseekai?style=social)](https://twitter.com/blockseekai) 10 | [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](../LICENSE) 11 | [![Demo](https://img.shields.io/badge/Demo-up%20to%20date-brightgreen.svg)](https://www.blockseek.ai) 12 | [![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/+WyP2nPho-glkMzQ5) 13 | 14 |

15 | 16 | --- 17 | 18 | Welcome to BlockSeek's official documentation. BlockSeek combines state-of-the-art AI with blockchain technology to revolutionize cryptocurrency trading and analysis. 19 | 20 | **Some Features:** 21 | 22 | - 🔗 Born for **On-Chain Trading** 23 | - Deeply trained on on-chain data to significantly enhance every user's trading efficiency 24 | - Real-time market insights and trading signals 25 | - 🔒 **Decentralized** Data Storage 26 | - Store data on the blockchain to ensure data integrity and security 27 | - Immutable and transparent data management 28 | - 🤖 Freely Build Your **Own Agent** 29 | - **No-code Agent** Creation Platform for custom trading strategies 30 | - Enterprise-grade LLM & Agent APIs with extensive documentation 31 | - Seamless integration capabilities 32 | 33 | ## 🎮 Try Our Demo! 34 | 35 | Experience BlockSeek's capabilities firsthand: 36 | 37 | - 🤖 Test our **AI Trading Assistant** in action 38 | - 📊 Explore real-time market data 39 | - 🛠️ Experiment with sample trading strategies (coming soon) 40 | - 📈 View live blockchain data analysis (coming soon) 41 | 42 | 👉 **[Launch Interactive Demo](https://www.blockseek.ai)** 43 | 44 | ## 📚 Documentation 45 | 46 | [Getting Started](./getting-started.md) 47 | 48 | [Architecture](./architecture/overview.md) 49 | 50 | [Technical Docs](./technical/index.md) 51 | 52 | [API Reference](./api-reference/index.md) 53 | 54 | ## 🌟 Core Features 55 | 56 |

57 |

Foundation Layer

58 | 59 | - 🤖 State-of-the-art Large Language Model with domain-specific fine-tuning 60 | - 🔍 Comprehensive distributed blockchain indexing infrastructure 61 | - 📚 Proprietary Web3-specialized knowledge embeddings (RAG) 62 |

63 | 64 |

65 |

Middleware Layer

73 | 74 |

75 |

Application Layer

81 | 82 | ## 📚 Dataset & Training 83 | 84 | BlockSeek's LLM is fine-tuned on comprehensive data from 15+ authoritative sources in the Solana ecosystem: 85 | 86 | | Category | Sources | 87 | |----------|---------| 88 | | Official Docs | Solana Documentation | 89 | | Projects | Jito, Raydium, Jupiter | 90 | | Infrastructure | Helius, QuickNode, ChainStack | 91 | | DeFi & NFTs | Leading protocols and marketplaces | 92 | 93 | ## 🗓️ Release Schedule 94 | 95 | ```mermaid 96 | gantt 97 | title BlockSeek Development Timeline 98 | dateFormat YYYY-MM 99 | section Releases 100 | Foundation Layer :2024-12, 30d 101 | Middleware :2025-01, 30d 102 | Agent System :2025-02, 30d 103 | Advanced Platform :2025-03, 30d 104 | ``` 105 | 106 | ## 🤝 Contributing 107 | 108 | We welcome contributions! See our [Contributing Guidelines](./contributing.md) for: 109 | - Code standards 110 | - Development setup 111 | - Pull request process 112 | - Community guidelines 113 | 114 | ## 📝 License 115 | 116 | This project is licensed under the MIT License - see the [LICENSE](../LICENSE) file for details. 117 | 118 | ## 🌐 Community 119 | 120 |

121 | 122 | [![Twitter](https://img.shields.io/badge/Twitter-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://twitter.com/blockseekai) 123 | [![Telegram](https://img.shields.io/badge/Telegram-2CA5E0?style=for-the-badge&logo=telegram&logoColor=white)](https://t.me/+WyP2nPho-glkMzQ5) 124 | 125 |

126 | 127 | --- 128 | 129 |

130 | 131 | ### Stay Updated! ⭐ 132 | 133 | Star our repository for notifications about releases, features, and updates. 134 | 135 | [Report Bug](https://github.com/XanderRavenCypher/blockseek/issues) · [Request Feature](https://github.com/XanderRavenCypher/blockseek/issues) 136 | 137 |

-------------------------------------------------------------------------------- /docs/_config.yml: -------------------------------------------------------------------------------- 1 | remote_theme: just-the-docs/just-the-docs 2 | 3 | # Site settings 4 | title: BlockSeek Documentation 5 | description: "BlockSeek: AI-Powered Trading Agent | Smart, Secure, and Efficient Trading Solutions" 6 | baseurl: "/blockseek" 7 | url: "" 8 | favicon_ico: "/assets/images/favicon.ico" 9 | logo: "/assets/images/logo.svg" 10 | 11 | # Theme settings 12 | search_enabled: true 13 | search: 14 | heading_level: 3 15 | previews: 3 16 | preview_words_before: 5 17 | preview_words_after: 10 18 | tokenizer_separator: /[\s/]+/ 19 | rel_url: true 20 | button: true 21 | 22 | heading_anchors: true 23 | color_scheme: dark 24 | 25 | # Enable copy buttons on code blocks 26 | enable_copy_code_button: true 27 | 28 | # External navigation links 29 | aux_links: 30 | "BlockSeek on GitHub": 31 | - "https://github.com/smashound/blockseek.ai" 32 | "Join Discord": 33 | - "https://discord.gg/blockseek" 34 | 35 | aux_links_new_tab: true 36 | 37 | # Footer content 38 | footer_content: "Copyright © 2024 BlockSeek. Distributed under the MIT license." 39 | 40 | # Collections for organizing documentation 41 | collections: 42 | docs: 43 | permalink: "/:collection/:path/" 44 | output: true 45 | 46 | just_the_docs: 47 | collections: 48 | docs: 49 | name: Documentation 50 | nav_fold: true 51 | 52 | # Enable callouts 53 | callouts: 54 | warning: 55 | title: Warning 56 | color: red 57 | note: 58 | title: Note 59 | color: blue 60 | tip: 61 | title: Tip 62 | color: green 63 | important: 64 | title: Important 65 | color: yellow 66 | 67 | # Enable mermaid diagrams 68 | mermaid: 69 | version: "9.1.3" 70 | # Configure mermaid theme to match site theme 71 | theme: dark 72 | 73 | # Navigation structure 74 | nav_external_links: 75 | - title: BlockSeek GitHub 76 | url: https://github.com/smashound/blockseek.ai 77 | hide_icon: false 78 | opens_in_new_tab: true 79 | - title: Discord Community 80 | url: https://discord.gg/blockseek 81 | hide_icon: false 82 | opens_in_new_tab: true 83 | 84 | # Back to top link 85 | back_to_top: true 86 | back_to_top_text: "Back to top" 87 | 88 | # Footer "Edit this page on GitHub" link text 89 | gh_edit_link: true 90 | gh_edit_link_text: "Edit this page on GitHub" 91 | gh_edit_repository: "https://github.com/smashound/blockseek.ai" 92 | gh_edit_branch: "main" 93 | gh_edit_source: docs 94 | gh_edit_view_mode: "tree" 95 | 96 | # Additional features 97 | kramdown: 98 | syntax_highlighter_opts: 99 | block: 100 | line_numbers: true 101 | 102 | # Enable tabs 103 | tabs: 104 | sync: true 105 | 106 | # Enable copy code button 107 | enable_copy_code_button: true 108 | 109 | # Enable anchor copy links 110 | heading_anchors: true 111 | 112 | # Enable table of contents 113 | toc: 114 | enabled: true 115 | h_min: 1 116 | h_max: 3 -------------------------------------------------------------------------------- /docs/api-reference/index.md: -------------------------------------------------------------------------------- 1 | # API Reference 2 | 3 | ## 🚧 Coming Soon 4 | 5 | We're currently working on comprehensive API documentation for BlockSeek's enterprise-grade APIs. The documentation will include: 6 | 7 | ### Planned Sections 8 | 9 | - **Authentication & Authorization** 10 | - API key management 11 | - OAuth2 integration 12 | - Rate limiting details 13 | 14 | - **Core Endpoints** 15 | - Trading operations 16 | - Market data access 17 | - Agent management 18 | - Analytics 19 | 20 | - **WebSocket APIs** 21 | - Real-time data streams 22 | - Market updates 23 | - Trading signals 24 | 25 | - **SDKs & Integration** 26 | - Official SDK documentation 27 | - Code examples 28 | - Integration guides 29 | 30 | ### Stay Updated 31 | 32 | In the meantime: 33 | - Star our repository for notifications about documentation updates 34 | - Follow us on [Twitter](https://twitter.com/blockseekai) for announcements 35 | - Join our [Telegram](https://t.me/+WyP2nPho-glkMzQ5) community 36 | 37 | > **Note**: Expected documentation release: Q1 2025 -------------------------------------------------------------------------------- /docs/architecture/overview.md: -------------------------------------------------------------------------------- 1 | # BlockSeek Architecture Overview 2 | 3 | > **Quick Links** 4 | > - [Getting Started Guide](../getting-started.md) 5 | > - [Project Roadmap](../roadmap.md) 6 | > - [How to Contribute](../contributing.md) 7 | 8 | BlockSeek is built on a three-layer architecture that combines advanced AI capabilities with blockchain technology to provide a comprehensive trading and analysis platform. 9 | 10 | ## Table of Contents 11 | - [System Architecture](#system-architecture) 12 | - [Foundation Layer](#foundation-layer) 13 | - [Middleware Layer](#middleware-layer) 14 | - [Application Layer](#application-layer) 15 | - [Technical Details](#technical-details) 16 | 17 | ## System Architecture 18 | 19 | ```mermaid 20 | graph TD 21 | A[Foundation Layer] --> B[Middleware Layer] 22 | B --> C[Application Layer] 23 | 24 | subgraph "Foundation Layer" 25 | A1[LLM Engine] --> A2[Blockchain Indexing] 26 | A2 --> A3[RAG Knowledge Base] 27 | end 28 | 29 | subgraph "Middleware Layer" 30 | B1[Transaction Monitor] --> B2[Trading Engine] 31 | B2 --> B3[Quantitative Models] 32 | B3 --> B4[Sentiment Analysis] 33 | end 34 | 35 | subgraph "Application Layer" 36 | C1[AI Trading Assistant] --> C2[Agent Platform] 37 | C2 --> C3[Enterprise APIs] 38 | end 39 | 40 | style A fill:#f9f9f9,stroke:#333,stroke-width:2px 41 | style B fill:#f9f9f9,stroke:#333,stroke-width:2px 42 | style C fill:#f9f9f9,stroke:#333,stroke-width:2px 43 | ``` 44 | 45 | > 💡 **Note**: The diagram above shows the high-level system architecture. Each component is detailed in the sections below. 46 | 47 | ## Foundation Layer 48 | 49 | The foundation layer serves as the backbone of BlockSeek, providing core infrastructure and AI capabilities: 50 | 51 | ### Large Language Model (LLM) 🤖 52 | - Custom-trained on 15+ authoritative Solana ecosystem sources 53 | - Built on DeepSeek's open-source architecture 54 | - Domain-specific fine-tuning for cryptocurrency markets 55 | - Specialized Web3 knowledge integration 56 | 57 | ### Blockchain Indexing 🔍 58 | - Distributed infrastructure for real-time data processing 59 | - Comprehensive historical data archival 60 | - High-performance query capabilities 61 | - Multi-chain support with Solana focus 62 | 63 | ### RAG Knowledge Base 📚 64 | - Proprietary Web3-specialized embeddings 65 | - Real-time knowledge updates 66 | - Context-aware information retrieval 67 | - Automated knowledge graph maintenance 68 | 69 | ## Middleware Layer 70 | 71 | The middleware layer handles data processing, analysis, and execution: 72 | 73 | ### Transaction Monitoring 📊 74 | - Real-time mempool analysis 75 | - Pattern recognition 76 | - Anomaly detection 77 | - Market impact assessment 78 | 79 | ### Trading Engine 💹 80 | - High-frequency execution capabilities 81 | - Smart order routing 82 | - Risk management systems 83 | - Multi-venue integration 84 | 85 | ### Quantitative Modeling 📈 86 | - Deep learning models 87 | - Statistical arbitrage 88 | - Market prediction 89 | - Risk assessment 90 | 91 | ### Sentiment Analysis 🎯 92 | - Social media monitoring 93 | - News analysis 94 | - Market sentiment indicators 95 | - Trend detection 96 | 97 | ## Application Layer 98 | 99 | The application layer provides user-facing features and integration capabilities: 100 | 101 | ### AI Trading Assistant 🤝 102 | - Natural language interface 103 | - Contextual awareness 104 | - Autonomous decision-making 105 | - Strategy optimization 106 | 107 | ### Agent Creation Platform 🛠️ 108 | - Visual workflow builder 109 | - No-code agent development 110 | - Strategy backtesting 111 | - Performance analytics 112 | 113 | ### Enterprise APIs 🔌 114 | - Comprehensive SDKs 115 | - Real-time data streams 116 | - Secure authentication 117 | - Rate limiting and quotas 118 | 119 | ## Technical Details 120 | 121 | ### Data Flow 122 | 1. The Foundation Layer continuously processes and indexes blockchain data 123 | 2. The Middleware Layer analyzes this data in real-time 124 | 3. The Application Layer presents insights and enables action through various interfaces 125 | 126 | ### Security Considerations 🔒 127 | - End-to-end encryption 128 | - Multi-factor authentication 129 | - Rate limiting 130 | - Regular security audits 131 | - Secure key management 132 | 133 | ### Performance Optimization ⚡ 134 | - Distributed processing 135 | - Caching layers 136 | - Load balancing 137 | - Geographic distribution 138 | - Optimized query patterns 139 | 140 | ### Future Scalability 🚀 141 | The architecture is designed to scale horizontally across all layers: 142 | - Foundation Layer: Additional model deployment and data nodes 143 | - Middleware Layer: Increased processing capacity 144 | - Application Layer: Enhanced feature set and user capacity 145 | 146 | --- 147 | 148 | > **Need Help?** 149 | > - For implementation details, check our [Getting Started Guide](../getting-started.md) 150 | > - To contribute, see our [Contributing Guidelines](../contributing.md) 151 | > - For future plans, view our [Roadmap](../roadmap.md) -------------------------------------------------------------------------------- /docs/contributing.md: -------------------------------------------------------------------------------- 1 | # Contributing to BlockSeek 2 | 3 | Thank you for your interest in contributing to BlockSeek! 🚀 4 | 5 | ## Coming Soon 6 | 7 | We're currently in the development phase and preparing our contribution guidelines. While we're not accepting direct contributions at this moment, we're excited to open up collaboration opportunities in the future. 8 | 9 | ### Stay Connected 10 | 11 | The best ways to prepare for future contributions: 12 | 13 | - ⭐ Star and watch our repository for updates 14 | - Follow us on Twitter [@BlockSeekAI](https://twitter.com/blockseekai) 15 | - Join our Telegram community [@BlockSeekAI](https://t.me/+WyP2nPho-glkMzQ5) 16 | - Keep an eye on our upcoming releases 17 | 18 | We appreciate your enthusiasm and look forward to building the future of AI-powered trading together! -------------------------------------------------------------------------------- /docs/getting-started.md: -------------------------------------------------------------------------------- 1 | # Getting Started with BlockSeek 2 | 3 | Welcome to BlockSeek! We're building a cutting-edge AI-powered trading platform that combines state-of-the-art language models with blockchain technology. While we're preparing for our official launch, we invite you to explore our vision and upcoming features. 4 | 5 | ## 🚀 Quick Overview 6 | 7 | BlockSeek is designed to revolutionize cryptocurrency trading with: 8 | 9 | - **AI-Powered Trading**: Advanced language models fine-tuned on comprehensive blockchain data 10 | - **No-Code Agent Platform**: Create and deploy trading strategies without coding 11 | - **Enterprise-Grade APIs**: Robust infrastructure for institutional traders 12 | - **Real-Time Analytics**: Advanced blockchain data analysis and market insights 13 | 14 | ## 🎮 Try the Demo 15 | 16 | Experience BlockSeek's capabilities firsthand: 17 | 18 | 1. Visit our [Interactive Demo](https://demo.blockseek.ai) 19 | 2. Explore the AI Trading Assistant 20 | 3. Test sample trading strategies 21 | 4. View real-time market analytics 22 | 23 | ## 📚 Explore Our Vision 24 | 25 | Learn more about BlockSeek's architecture and capabilities: 26 | 27 | 1. [Architecture Overview](./architecture/overview.md) 28 | 2. [Technical Documentation](./technical/index.md) 29 | 3. [Development Roadmap](./roadmap.md) 30 | 31 | ## 🗓️ Launch Timeline 32 | 33 | BlockSeek is launching in phases: 34 | 35 | - **December 2024**: Foundation Layer 36 | - **January 2025**: Middleware Integration 37 | - **February 2025**: Autonomous Agent Release 38 | - **March 2025**: Advanced Agent Platform 39 | 40 | ## 🔔 Stay Updated 41 | 42 | The best way to stay updated with BlockSeek's development: 43 | 44 | ⭐ **Star our repository to receive notifications about:** 45 | - Major releases 46 | - New features 47 | - Development updates 48 | - Community announcements 49 | 50 | Follow us on [Twitter](https://twitter.com/blockseekai) for the latest news and updates! 51 | Join our [Telegram community](https://t.me/+WyP2nPho-glkMzQ5) to: 52 | - Connect with other BlockSeek users 53 | - Get real-time development updates 54 | - Share feedback and suggestions 55 | - Participate in community discussions 56 | -------------------------------------------------------------------------------- /docs/index.md: -------------------------------------------------------------------------------- 1 | --- 2 | layout: default 3 | title: Home 4 | nav_order: 1 5 | permalink: / 6 | --- 7 | 8 |

9 |

10 |

11 | 12 | # Welcome to BlockSeek 13 | 14 | BlockSeek combines state-of-the-art AI with blockchain technology to revolutionize cryptocurrency trading and analysis. For comprehensive documentation, please refer to our [README](./README.md). 15 | 16 | ## 🎮 Interactive Demo 17 | 18 | Experience BlockSeek's capabilities firsthand through our interactive demo platform: 19 | 20 |

21 |

22 |

🤖 AI Trading Assistant

23 |

Test our AI-powered trading recommendations and market analysis in real-time.

24 | Try Assistant 25 |

26 |

27 | 28 | > **Note**: The demo environment uses simulated data and paper trading. No real funds are involved. 29 | 30 | ## Quick Navigation 31 | 32 | - [Architecture Overview](./architecture/overview.md) 33 | - [Getting Started](./getting-started.md) 34 | - [Dataset](./technical/dataset.md) 35 | - [Contributing](./contributing.md) 36 | - [Roadmap](./roadmap.md) 37 | 38 | ## Connect With Us 39 | 40 | - [GitHub Repository](https://github.com/smashound/blockseek.ai) 41 | - [Twitter](https://twitter.com/blockseekai) 42 | - [Telegram](https://t.me/blockseekai) 43 | 44 | 85 | -------------------------------------------------------------------------------- /docs/logo.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/XanderRavenCypher/blockseek/365850be868daaeb9c314ed0becfd111ca21889c/docs/logo.png -------------------------------------------------------------------------------- /docs/roadmap.md: -------------------------------------------------------------------------------- 1 | # BlockSeek Development Roadmap 2 | 3 | ## Overview 4 | 5 | BlockSeek's development roadmap outlines our strategic vision for building a comprehensive AI-powered trading and analysis platform. This document details our planned features, milestones, and release schedule. 6 | 7 | ## Timeline 8 | 9 | ```mermaid 10 | gantt 11 | title BlockSeek Development Timeline 12 | dateFormat YYYY-MM-DD 13 | section Foundation Layer 14 | LLM Development :2024-12-01, 30d 15 | Blockchain Indexing :2024-12-15, 30d 16 | RAG Implementation :2024-12-20, 25d 17 | 18 | section Middleware Layer 19 | Transaction Monitoring :2025-01-01, 20d 20 | Trading Engine :2025-01-10, 25d 21 | Quantitative Models :2025-01-15, 20d 22 | 23 | section Application Layer 24 | AI Assistant Beta :2025-02-01, 28d 25 | Agent Platform :2025-02-15, 25d 26 | Enterprise APIs :2025-03-01, 31d 27 | ``` 28 | 29 | ## Phase 1: Foundation Layer (December 2024) 30 | 31 | ### Week 1-2 32 | - Initialize DeepSeek-based LLM architecture 33 | - Begin domain-specific training data preparation 34 | - Set up basic blockchain indexing infrastructure 35 | 36 | ### Week 3-4 37 | - Complete LLM fine-tuning 38 | - Implement comprehensive blockchain data indexing 39 | - Develop initial RAG knowledge base 40 | - Begin integration testing 41 | 42 | **Key Deliverables:** 43 | - ✅ Production-ready LLM 44 | - ✅ Functional blockchain indexing system 45 | - ✅ Basic RAG implementation 46 | - ✅ Initial API endpoints 47 | 48 | ## Phase 2: Middleware Integration (January 2025) 49 | 50 | ### Week 1-2 51 | - Deploy transaction monitoring system 52 | - Implement basic trading execution engine 53 | - Begin quantitative modeling framework development 54 | 55 | ### Week 3-4 56 | - Complete high-frequency trading engine 57 | - Integrate advanced analytics 58 | - Deploy initial developer APIs 59 | - Begin beta testing 60 | 61 | **Key Deliverables:** 62 | - ✅ Real-time transaction monitoring 63 | - ✅ Functional trading engine 64 | - ✅ Basic quantitative models 65 | - ✅ Developer SDK v1.0 66 | 67 | ## Phase 3: Autonomous Agent Release (February 2025) 68 | 69 | ### Week 1-2 70 | - Launch AI Trading Assistant beta 71 | - Implement basic agent architecture 72 | - Begin integration with analytics 73 | 74 | ### Week 3-4 75 | - Complete core agent functionality 76 | - Deploy beta version of agent platform 77 | - Begin user testing 78 | 79 | **Key Deliverables:** 80 | - ✅ AI Trading Assistant beta 81 | - ✅ Basic agent creation tools 82 | - ✅ Integration with analytics 83 | - ✅ Initial user documentation 84 | 85 | ## Phase 4: Advanced Agent Platform (March 2025) 86 | 87 | ### Week 1-2 88 | - Deploy advanced ML models 89 | - Implement statistical arbitrage 90 | - Enhance NLP capabilities 91 | - Launch multi-agent orchestration 92 | 93 | ### Week 3-4 94 | - Complete visual workflow builder 95 | - Deploy automated backtesting 96 | - Launch risk management system 97 | - Release enterprise features 98 | 99 | **Key Deliverables:** 100 | - ✅ Complete agent platform 101 | - ✅ Advanced trading features 102 | - ✅ Enterprise integration 103 | - ✅ Comprehensive documentation 104 | 105 | ## Future Development 106 | 107 | ### Q2 2025 108 | - Advanced market prediction models 109 | - Enhanced automation capabilities 110 | - Additional chain integrations 111 | - Expanded enterprise features 112 | 113 | ### Q3 2025 114 | - Community-driven agent marketplace 115 | - Advanced risk management tools 116 | - Cross-chain optimization 117 | - Enhanced security features 118 | 119 | ### Q4 2025 120 | - AI-driven portfolio management 121 | - Advanced backtesting capabilities 122 | - Institutional-grade features 123 | - Global market expansion 124 | 125 | ## Success Metrics 126 | 127 | ### Technical Metrics 128 | - System uptime: 99.99% 129 | - Transaction processing speed 130 | - Model accuracy rates 131 | - API response times 132 | 133 | ### Business Metrics 134 | - User adoption rate 135 | - Trading volume 136 | - Revenue growth 137 | - Market share 138 | 139 | ## Risk Management 140 | 141 | ### Technical Risks 142 | - Model performance 143 | - System scalability 144 | - Security vulnerabilities 145 | - Integration challenges 146 | 147 | ### Mitigation Strategies 148 | - Comprehensive testing 149 | - Regular security audits 150 | - Scalable architecture 151 | - Redundant systems 152 | 153 | ## Community Engagement 154 | 155 | ### Developer Program 156 | - SDK documentation 157 | - Technical workshops 158 | - Developer support 159 | - Community contributions 160 | 161 | ### User Community 162 | - Feature requests 163 | - Bug reporting 164 | - User feedback 165 | - Community events 166 | 167 | ## Conclusion 168 | 169 | This roadmap represents our commitment to building a comprehensive AI-powered trading platform. We will continuously update this document as we achieve milestones and adjust our plans based on market conditions and user feedback. -------------------------------------------------------------------------------- /docs/technical/dataset.md: -------------------------------------------------------------------------------- 1 | # Dataset and Training Documentation 2 | 3 | ## Dataset Overview 4 | 5 | BlockSeek's Large Language Model is trained on a comprehensive dataset that integrates information from 15+ authoritative sources in the Solana ecosystem. This document details the dataset composition, processing methodology, and training approach. 6 | 7 | ## Data Sources 8 | 9 | ### Core Documentation 10 | 1. **Official Solana Documentation** 11 | - Blockchain architecture 12 | - Consensus mechanisms (PoH, PoS) 13 | - Smart contract development 14 | - RPC interaction guides 15 | - Developer tools documentation 16 | 17 | ### Project-Specific Documentation 18 | 1. **DeFi Protocols** 19 | - Raydium DEX 20 | - Jupiter Aggregator 21 | - Meteora 22 | - PumpPortal 23 | 24 | 2. **Infrastructure Providers** 25 | - Helius 26 | - QuickNode 27 | - ChainStack 28 | - Tatum 29 | - Alchemy 30 | 31 | 3. **Market Data & Analytics** 32 | - DexScreener 33 | - Bitquery 34 | - MagicEden 35 | 36 | ## Data Processing Pipeline 37 | 38 | ```mermaid 39 | graph LR 40 | A[Raw Data Collection] --> B[Data Cleaning] 41 | B --> C[Text Chunking] 42 | C --> D[QA Pair Generation] 43 | D --> E[Training Data Format] 44 | 45 | subgraph "Data Cleaning" 46 | B1[HTML/MD Removal] 47 | B2[Deduplication] 48 | B3[Error Correction] 49 | B4[Standardization] 50 | end 51 | ``` 52 | 53 | ### 1. Data Extraction 54 | - Manual curation to ensure data quality 55 | - Structured data extraction from APIs 56 | - Documentation version tracking 57 | - Source attribution maintenance 58 | 59 | ### 2. Data Cleaning 60 | - **Format Cleaning** 61 | - HTML tag removal 62 | - Markdown formatting standardization 63 | - Special character handling 64 | 65 | - **Content Processing** 66 | - Duplicate content removal 67 | - Spelling and grammar correction 68 | - Terminology standardization 69 | - Inconsistency resolution 70 | 71 | ### 3. Text Chunking 72 | - Chunk size: 1,500 characters 73 | - Overlap: 200 characters 74 | - Context preservation 75 | - Semantic boundary respect 76 | 77 | ### 4. QA Pair Generation 78 | - 10 QA pairs per chunk 79 | - GPT-4 powered generation 80 | - Quality assurance criteria: 81 | - Relevance to chunk content 82 | - Answer accuracy 83 | - Question diversity 84 | - Context completeness 85 | 86 | ## Training Methodology 87 | 88 | ### 1. Pre-training 89 | - Base model: DeepSeek 90 | - Architecture modifications 91 | - Vocabulary expansion 92 | 93 | ### 2. Fine-tuning 94 | - Domain adaptation 95 | - Task-specific training 96 | - Performance metrics 97 | 98 | ### 3. Evaluation 99 | - Accuracy metrics 100 | - Domain-specific benchmarks 101 | - Real-world testing 102 | 103 | ## Data Quality Assurance 104 | 105 | ### Validation Process 106 | 1. Automated checks 107 | - Format validation 108 | - Content consistency 109 | - Reference integrity 110 | 111 | 2. Manual review 112 | - Expert validation 113 | - Content accuracy 114 | - Technical correctness 115 | 116 | ### Quality Metrics 117 | - Source reliability score 118 | - Content freshness 119 | - Technical accuracy 120 | - Completeness score 121 | 122 | ## Dataset Maintenance 123 | 124 | ### Update Frequency 125 | - Core documentation: Weekly 126 | - Market data: Daily 127 | - Project documentation: On release 128 | 129 | ### Version Control 130 | - Dataset versioning 131 | - Change tracking 132 | - Rollback capability 133 | 134 | ## Usage Guidelines 135 | 136 | ### Access Control 137 | - Data access levels 138 | - Usage restrictions 139 | - Attribution requirements 140 | 141 | ### Best Practices 142 | - Data handling 143 | - Integration methods 144 | - Update procedures 145 | 146 | ## Future Improvements 147 | 148 | 1. **Data Sources** 149 | - Additional protocol integration 150 | - New market data sources 151 | - Community contributions 152 | 153 | 2. **Processing Pipeline** 154 | - Enhanced automation 155 | - Improved QA generation 156 | - Real-time updates 157 | 158 | 3. **Training Methods** 159 | - Advanced fine-tuning techniques 160 | - Improved evaluation metrics 161 | - Continuous learning capabilities --------------------------------------------------------------------------------