🗺️ NOFX Roadmap
Strategic plan for NOFX development and universal market expansion.
📋 Overview
NOFX is on a mission to become the Universal AI Trading Operating System for all financial markets. Our proven infrastructure on crypto markets is being extended to stocks, futures, options, forex, and beyond.
Vision: Same architecture. Same agent framework. All markets.
🎯 Short-Term Roadmap
Phase 1: Core Infrastructure Enhancement
1.1 Security Enhancements
Goal: Protect sensitive data and reduce security vulnerabilities
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Credential Management
- Implement AES-256 encryption for API keys in database
- Add encryption for private keys (Hyperliquid, Aster)
- Use hardware security module (HSM) support for production
- Implement key rotation mechanism
- Add audit logging for all credential access
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Application Security
- Input validation and sanitization (prevent SQL injection, XSS)
- Rate limiting for API endpoints
- CORS policy configuration
- JWT token expiration and refresh mechanism
- Implement RBAC (Role-Based Access Control) for multi-user support
- Add IP whitelisting for API access
- Security headers (CSP, HSTS, X-Frame-Options)
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Operational Security
- Secure password hashing (bcrypt with salt)
- 2FA enhancement (backup codes, multiple TOTP devices)
- Session management (auto-logout, concurrent session limits)
- Secrets management (environment variables, vault integration)
- Regular dependency vulnerability scanning
1.2 Enhanced AI Capabilities
Goal: Richer prompts, flexible configuration, support for more AI models
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Prompt System Overhaul
- Template engine for dynamic prompt generation
- Multi-language prompt support (chain-of-thought, few-shot, zero-shot)
- Market condition-based prompt switching (bull, bear, sideways)
- Historical performance feedback integration in prompts
- Prompt versioning and A/B testing framework
- User-customizable prompt templates via web interface
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AI Model Integration
- OpenAI GPT-4/GPT-4 Turbo support
- Anthropic Claude 3 (Opus, Sonnet, Haiku) integration
- Google Gemini Pro support
- Local LLM support (Llama, Mistral via Ollama)
- Multi-model ensemble (voting, weighted average)
- Model performance tracking and auto-selection
- Fallback mechanism when primary model fails
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AI Decision Engine
- Confidence scoring for each decision
- Explanation generation (why this trade?)
- Risk assessment integration in AI reasoning
- Market regime detection (trend, mean-reversion, high volatility)
- Cross-validation with technical indicators
1.3 Exchange Integration Expansion
Goal: Support more CEX and popular perp-DEX, both spot and futures
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Centralized Exchanges (CEX)
- OKX - Futures + Spot trading
- Bybit - Futures + Spot trading
- Bitget - Futures + Spot trading
- Gate.io - Futures + Spot trading
- KuCoin - Futures + Spot trading
- Unified CEX interface for easy addition of new exchanges
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Decentralized Perpetual Exchanges (Perp-DEX)
- Hyperliquid (Ethereum L1) - High-performance orderbook DEX (✅ Supported)
- Aster (Multi-chain) - Binance-compatible API DEX (✅ Supported)
- Lighter (Arbitrum) - Gasless orderbook DEX with off-chain matching
- EdgeX (Multi-chain) - Professional derivatives DEX
- Unified DEX interface for consistent integration
- Enhanced Hyperliquid integration (testnet support, advanced order types)
- Enhanced Aster integration (cross-chain support, wallet management)
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Spot + Futures Support
- Dual-mode trading (spot arbitrage, futures hedging)
- Cross-exchange arbitrage detection
- Unified position tracking across spot and futures
- Auto-conversion between spot and perpetual strategies
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Exchange Infrastructure
- Trading Data Analysis API Integration (In-house developed)
- AI500 integration - In-house AI-powered coin selection model
- OI (Open Interest) Analysis - Real-time open interest tracking and anomaly detection
- NetFlow Analysis - On-chain fund flow analysis for market sentiment
- Market sentiment aggregator - Combine multiple data sources for enhanced AI decision making
- Custom indicator API - Support for proprietary technical indicators
- Automatic precision handling (quantity, price decimals)
- Order type abstraction (market, limit, stop-loss, take-profit)
- Unified error handling and retry logic
- WebSocket support for real-time data
- Rate limit management per exchange
- Trading Data Analysis API Integration (In-house developed)
1.4 Project Structure Refactoring
Goal: Clear hierarchy, high cohesion, low coupling, easy to extend and maintain
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Architecture Redesign
- Implement layered architecture (Presentation → Business Logic → Data Access)
- Apply SOLID principles (especially Liskov Substitution Principle for exchange adapters)
- Extract common interfaces for all exchange implementations
- Separate concerns: trading logic, data fetching, decision making, execution
- Implement dependency injection for better testability
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Code Organization
- Refactor monolithic modules into smaller, focused packages
- Create abstract base classes for traders, exchanges, AI models
- Implement factory pattern for exchange/AI model creation
- Standardize error handling and logging across all modules
- Remove circular dependencies and improve import structure
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Configuration Management
- Centralize all configuration in structured config files
- Implement hot-reload for non-critical configuration changes
- Validate configurations at startup with clear error messages
- Support environment-specific configs (dev/staging/production)
1.5 User Experience Improvements
Goal: Enhanced web interface, better monitoring, and alerting system
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Web Interface Enhancements
- Mobile-responsive design (tablet and phone support)
- Dark/Light theme toggle with user preference saving
- Advanced charting with TradingView widget integration
- Real-time WebSocket updates (replace polling for positions/orders)
- Drag-and-drop dashboard customization
- Multi-language support (EN, CN, RU, UK)
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Configuration Interface
- Visual strategy builder (no-code flow diagram)
- Live configuration preview before saving
- Configuration templates for common strategies
- Bulk trader management (start/stop multiple traders)
- Exchange credential testing (verify before saving)
- AI model testing interface (test prompts before deployment)
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Monitoring & Analytics
- Real-time performance dashboard with key metrics
- Equity curve visualization (per trader, per exchange, overall)
- Drawdown analysis and risk metrics
- Trade history with filtering and search
- P&L breakdown by symbol, time period, strategy
- Comparison view (multiple traders side-by-side)
- Export functionality (CSV, JSON, PDF reports)
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Alert & Notification System
- Multi-channel alerts (Email, Telegram, Discord, Webhook)
- Configurable alert rules (profit threshold, loss limit, error detection)
- Alert priority levels (critical, warning, info)
- Alert history and acknowledgment tracking
- Daily/Weekly performance summary emails
- System health monitoring (API connectivity, database status)
Phase 2: Testing & Stability
2.1 Quality Assurance
- Comprehensive unit test coverage (>80%)
- Integration tests for all exchange adapters
- Load testing (100+ concurrent traders)
- Security audit (API key encryption, SQL injection prevention)
2.2 Documentation
- Complete API reference documentation
- Video tutorials for beginners
- Strategy development guide
- Troubleshooting playbook
2.3 Community Features
- Public strategy marketplace (share/sell strategies)
- Leaderboard with verified performance
- Community forum integration
- Bug bounty program
🚀 Long-Term Roadmap
Phase 3: Universal Market Expansion
Goal: Extend the proven crypto trading infrastructure to all major financial markets.
3.1 Stock Markets
- US Equities (Interactive Brokers, Alpaca Markets)
- Asian Markets (A-shares, Hong Kong, Japan)
- Fundamental analysis integration (earnings, P/E, dividends)
- AI-powered stock screening
3.2 Futures Markets
- Commodity Futures (Energy, Metals, Agriculture)
- Index Futures (S&P 500, NASDAQ, Dow Jones, VIX)
- Rollover management and spread trading
3.3 Options Trading
- Options chain data and Greeks calculation
- Equity, Index, and Crypto options
- Options strategy builder
3.4 Forex Markets
- Major currency pairs and exotic pairs
- Interest rate analysis and carry trade support
Phase 4: Advanced AI & Automation
Goal: Implement cutting-edge AI technologies for autonomous trading.
- Multi-Agent orchestration (specialized agents with dynamic coordination)
- Reinforcement Learning (DQN, PPO, transfer learning)
- Alternative data integration (social sentiment, news, on-chain analytics)
Phase 5: Enterprise & Scaling
Goal: Scale infrastructure for institutional use and high-volume trading.
- Database migration (PostgreSQL/MySQL, Redis, TimescaleDB)
- Microservices architecture with Kubernetes deployment
- Multi-user RBAC and white-label solutions
- Advanced analytics and compliance reporting
📊 Key Metrics & Milestones
Short-Term Targets
- 100+ supported trading pairs across all exchanges
- 10,000+ active trader instances
- 5+ new exchange integrations
- 80%+ test coverage
- 99.9% uptime
Long-Term Targets
- All major asset classes supported (crypto, stocks, futures, options, forex)
- 50,000+ active users
- Enterprise tier launched
- Institutional partnerships established
🤝 Community Involvement
We welcome community contributions to accelerate our roadmap:
- Vote on Features: Join our Telegram community to vote on priority features
- Contribute Code: Check our Contributing Guide
- Bug Bounties: Report issues and earn rewards
- Strategy Sharing: Share your successful strategies
📝 Roadmap Updates
This roadmap is reviewed and updated quarterly based on:
- Community feedback
- Market demands
- Technical feasibility
- Resource availability
Last Updated: 2025-11-01
📚 Related Documentation
- Architecture Documentation - Technical architecture details
- Getting Started - Setup and deployment
- Contributing Guide - How to contribute
- Changelog - Version history