{"id":49639872,"url":"https://github.com/michaeloboyle/ai-trading-system","last_synced_at":"2026-05-05T18:49:46.437Z","repository":{"id":313666003,"uuid":"1052212970","full_name":"michaeloboyle/ai-trading-system","owner":"michaeloboyle","description":null,"archived":false,"fork":false,"pushed_at":"2025-09-10T02:08:54.000Z","size":422,"stargazers_count":1,"open_issues_count":5,"forks_count":1,"subscribers_count":0,"default_branch":"main","last_synced_at":"2026-05-05T18:49:31.311Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/michaeloboyle.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null,"notice":null,"maintainers":null,"copyright":null,"agents":null,"dco":null,"cla":null}},"created_at":"2025-09-07T16:29:18.000Z","updated_at":"2025-09-10T02:08:57.000Z","dependencies_parsed_at":"2025-09-07T18:26:43.528Z","dependency_job_id":"d36e2648-7e09-41df-9c0d-b27ccb4a2afc","html_url":"https://github.com/michaeloboyle/ai-trading-system","commit_stats":null,"previous_names":["michaeloboyle/ai-trading-system"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/michaeloboyle/ai-trading-system","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michaeloboyle%2Fai-trading-system","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michaeloboyle%2Fai-trading-system/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michaeloboyle%2Fai-trading-system/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michaeloboyle%2Fai-trading-system/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/michaeloboyle","download_url":"https://codeload.github.com/michaeloboyle/ai-trading-system/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/michaeloboyle%2Fai-trading-system/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32663438,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-05T11:29:49.557Z","status":"ssl_error","status_checked_at":"2026-05-05T11:29:48.587Z","response_time":54,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2026-05-05T18:49:45.284Z","updated_at":"2026-05-05T18:49:46.428Z","avatar_url":"https://github.com/michaeloboyle.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# AI-Powered Cryptocurrency Trading System\n## Mission: Transform $1000 into 20-50% Monthly Returns\n\n### 🎯 Primary Objective\nBuild a self-learning cryptocurrency trading system using cutting-edge 2025 AI research to achieve consistent profitability while maintaining strict risk management.\n\n### 🖥️ Dashboard Preview\n![AI Trading System Dashboard](dashboard-screenshot.png)\n\n*Professional monitoring interface with Monaco Editor integration, real-time market data, and comprehensive system analytics.*\n\n### 🚀 Quick Start\n```bash\n# 1. Setup environment\ngit clone \u003cthis-repo\u003e\ncd ai-trading-system\ncp .env.example .env\n\n# 2. Install dependencies  \nnpm install\ncargo install wasm-pack\nollama pull llama3.1:8b\n\n# 3. Start development\n./claude-tmux.sh start\ndocker-compose up -d\n\n# 4. Open dashboard\nopen simple-dashboard.html\n```\n\n### 🎛️ Dashboard Features\n- **Real-time Market Data**: Live price feeds from Binance.US with IPv4-optimized connections\n- **Professional Log Viewer**: Monaco Editor with syntax highlighting and search functionality  \n- **Risk Management**: Visual display of position limits, daily caps, and safety controls\n- **System Analytics**: Performance metrics, success rates, and uptime monitoring\n- **Paper Trading Safety**: Comprehensive simulation mode with zero financial risk\n- **Emergency Controls**: One-click stop functionality with complete transparency\n\n### 📋 Key Documentation\n- **[Product Requirements](PRD-AI-Trading-System.md)** - Complete project specification\n- **[Claude Flow Guide](CLAUDE-FLOW-DOCUMENTATION.md)** - For distributed development\n- **[Implementation Guide](IMPLEMENTATION-GUIDE.md)** - Step-by-step development\n- **[Quick Start Guide](QUICK-START-GUIDE.md)** - 7-day profit roadmap\n\n### 🏗️ System Architecture\n```\nAI Decision Layer:    Multi-Agent LLM + xLSTM + Attention Mechanisms\nPerformance Layer:    Rust-WASM (10-100x faster than JavaScript)\nTrading Strategies:   Stablecoin Arbitrage → Momentum → Futures Scalping  \nRisk Management:      $10 max loss/trade, $20 daily limit, $200 reserve\nCapital Growth:       $1000 → $1200 → $1800 → $2700+ (3-month target)\n```\n\n### 🎨 2025 Research Integration\n- **LLM Multi-Agent System** (Jan 2025) - Portfolio management coordination\n- **ReMA Meta-thinking** (May 2025) - Strategic vs tactical decision separation  \n- **xLSTM Networks** (March 2025) - Enhanced pattern recognition\n- **Attention Mechanisms** - Cross-exchange arbitrage detection\n\n### 📊 Success Metrics\n- **Financial**: 20-50% monthly returns, \u003c5% max drawdown\n- **Technical**: \u003c50ms trade decisions, 99.9% uptime\n- **Learning**: Continuous strategy improvement, new pattern discovery\n- **Risk**: 100% compliance with position limits\n\n### 🛡️ Risk Management\n- Maximum $10 loss per trade (1% of $1000 capital)\n- Daily loss limit $20 (2% of capital) with auto-shutdown\n- Emergency reserve $200 (20% untouchable)\n- Position sizing 5-20% of capital per trade\n\n### 📈 Implementation Phases\n1. **Week 1**: Stablecoin arbitrage + risk management (MVP)\n2. **Week 2**: AI integration + multi-agent coordination\n3. **Week 3**: Momentum trading + futures scalping\n4. **Month 2-3**: Advanced learning + scaling preparation\n\n### 🔧 Technology Stack\n- **Core**: Node.js/TypeScript + Rust-WASM\n- **AI**: Local Ollama + Groq API + selective cloud LLM\n- **Data**: PostgreSQL + Redis + WebSocket feeds\n- **Exchanges**: Binance (primary) + Coinbase (secondary)\n- **Monitoring**: Custom dashboard + Grafana + mobile alerts\n\n### 📁 Repository Structure\n```\n├── services/           # Microservices (trading-engine, risk-manager, etc.)\n├── rust-core/         # WASM performance modules\n├── docs/\n│   ├── notes/         # Research notes and analysis\n│   └── archive/       # Historical documentation\n├── sql/               # Database schemas\n├── .vscode/           # VS Code tasks and settings\n└── claude-tmux.sh     # Development session management\n```\n\n### 🎲 Getting Started\n1. **Read** [Quick Start Guide](QUICK-START-GUIDE.md) for 7-day implementation\n2. **Configure** API keys in `.env` file\n3. **Start** with Binance testnet and $100 virtual capital\n4. **Monitor** via web dashboard at `localhost:3000`\n5. **Scale** gradually as system proves profitable\n\n### ⚠️ Important Notes\n- **Educational Purpose**: This system is for learning and personal use\n- **Risk Warning**: Cryptocurrency trading involves significant risk\n- **Paper Trading First**: Always test strategies before risking real money\n- **Compliance**: User responsible for regulatory compliance in their jurisdiction\n\n---\n\n**Mission Success**: When $1000 consistently grows 20-50% monthly while maintaining strict risk controls and demonstrating continuous AI-driven improvement.\n\nFor detailed technical implementation, see [Implementation Guide](IMPLEMENTATION-GUIDE.md).","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichaeloboyle%2Fai-trading-system","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmichaeloboyle%2Fai-trading-system","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmichaeloboyle%2Fai-trading-system/lists"}