Executive Summary
This document outlines the complete architecture for transforming NIJA from a single-user trading bot into a scalable, secure multi-user platform. The architecture includes three core components:
- Secure API Vault System - Enterprise-grade credential management
- Execution Routing Model - Intelligent trade routing and isolation
- Mobile App UX Flow - Seamless user experience across devices
Design Principles
Security First
- Zero-trust architecture
- Encrypted credential storage
- Per-user authentication and authorization
- Audit logging for all critical operations
- Rate limiting and abuse prevention
Scalability
- Support 1,000+ concurrent users
- Horizontal scaling capability
- Database sharding for performance
- Microservices-ready architecture
Reliability
- 99.9% uptime target
- Graceful degradation
- Circuit breakers and failovers
- Comprehensive monitoring and alerting
User Experience
- Sub-second API response times
- Real-time trade notifications
- Intuitive mobile-first interface
- Minimal latency for trade execution
Current State Analysis
Existing Components (✅ Implemented)
NIJA already has a strong foundation with the following components:
Layer 1: Core Brain (PRIVATE)
- Location:
/core/
- Purpose: Proprietary trading strategy
- Status: ✅ Implemented and locked
- Components:
- Trading strategy logic
- Risk management engine
- Technical indicators (RSI_9, RSI_14)
- Entry/exit decision system
Layer 2: Execution Engine (LIMITED)
- Location:
/execution/
- Status: ✅ Partially implemented
- Components:
- User permissions system (
UserPermissions)
- Permission validator (
PermissionValidator)
- Broker adapter framework
- Basic execution controls
Layer 3: User Interface (PUBLIC)
- Location:
/ui/
- Status: ⚠️ Skeleton only
- Components:
- Dashboard API structure
- Basic user stats retrieval
Authentication & User Management
- Location:
/auth/
- Status: ✅ Core implemented
- Components:
- Encrypted API key manager (
APIKeyManager)
- User account manager (
UserManager)
- Fernet-based encryption
Hard Controls
- Location:
/controls/
- Status: ✅ Implemented
- Components:
- Position size limits (2-10%)
- Daily loss tracking
- Global and per-user kill switches
- Live capital verification
- Error tracking and auto-disable
Configuration Management
- Location:
/config/
- Status: ✅ Implemented
- Components:
- User config loader
- YAML-based user profiles
- Per-broker configurations
Gaps to Address
- API Vault System: Need production-grade secrets management
- Execution Routing: Need intelligent routing and isolation
- Mobile App: Need complete mobile UX design
- Database Layer: Need persistent storage for users, trades, and analytics
- API Gateway: Need rate limiting, authentication, and routing
- Monitoring: Need comprehensive observability
- Deployment: Need multi-tenant deployment strategy
System Architecture Overview
┌─────────────────────────────────────────────────────────────┐
│ Mobile App (React Native) │
│ - iOS & Android native apps │
│ - Real-time WebSocket updates │
│ - Biometric authentication │
└────────────────────┬────────────────────────────────────────┘
│ HTTPS/WSS
▼
┌─────────────────────────────────────────────────────────────┐
│ API Gateway (Kong/Nginx) │
│ - Authentication (JWT) │
│ - Rate limiting (per user/tier) │
│ - Request routing │
│ - SSL termination │
└────────────────────┬────────────────────────────────────────┘
│
┌───────────┴──────────┬─────────────────────┐
▼ ▼ ▼
┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐
│ Dashboard API │ │ Trading API │ │ Admin API │
│ (FastAPI) │ │ (FastAPI) │ │ (FastAPI) │
│ │ │ │ │ │
│ - User stats │ │ - Trade exec │ │ - User mgmt │
│ - Settings │ │ - Positions │ │ - Monitoring │
│ - Analytics │ │ - Orders │ │ - Controls │
└────────┬────────┘ └─────────┬────────┘ └────────┬────────┘
│ │ │
└──────────────────────┼──────────────────────┘
│
┌──────────────────────┴──────────────────────┐
│ │
▼ ▼
┌─────────────────────┐ ┌─────────────────────┐
│ API Vault │ │ Execution Router │
│ (HashiCorp Vault) │ │ (Core Service) │
│ │ │ │
│ - Encrypted keys │ │ - Route trades │
│ - Key rotation │ │ - Isolate users │
│ - Audit logging │ │ - Load balance │
│ - Policy control │ │ - Circuit breaker │
└─────────────────────┘ └──────────┬──────────┘
│
┌───────────────┬──────────────────┼──────────────┐
│ │ │ │
▼ ▼ ▼ ▼
┌──────────────┐ ┌──────────┐ ┌──────────────┐ ┌─────────┐
│ Coinbase │ │ Kraken │ │ Binance │ │ Alpaca │
│ Executor │ │ Executor │ │ Executor │ │ Executor│
└──────────────┘ └──────────┘ └──────────────┘ └─────────┘
┌─────────────────────────────────────────────────────────────┐
│ Data Layer (PostgreSQL) │
│ │
│ - Users & accounts - Audit logs │
│ - Trades & positions - Analytics data │
│ - Permissions & configs - System events │
└─────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────┐
│ Monitoring & Observability │
│ │
│ - Prometheus (metrics) - Grafana (dashboards) │
│ - ELK Stack (logs) - Sentry (error tracking) │
│ - PagerDuty (alerts) - Datadog (APM) │
└─────────────────────────────────────────────────────────────┘
Component Details
1. Mobile App Layer
- Technology: React Native (iOS + Android)
- Features:
- Biometric authentication (Face ID, Touch ID)
- Real-time position tracking
- Push notifications for trades
- Interactive charts and analytics
- Settings management
- Communication: REST API + WebSockets for real-time data
- Offline Mode: View-only cached data
2. API Gateway Layer
- Technology: Kong or Nginx with Lua
- Responsibilities:
- JWT authentication validation
- Rate limiting by user tier
- Request logging and metrics
- SSL/TLS termination
- DDoS protection
- Rate Limits:
- Basic tier: 60 req/min
- Pro tier: 300 req/min
- Enterprise tier: 1000 req/min
3. API Services Layer
- Technology: FastAPI (Python)
- Services:
- Dashboard API: User-facing stats and settings
- Trading API: Trade execution and position management
- Admin API: Platform administration and monitoring
- Features:
- Async/await for performance
- Pydantic validation
- OpenAPI documentation
- Dependency injection
4. API Vault System
- See dedicated section below
5. Execution Router
- See dedicated section below
6. Data Layer
- Technology: PostgreSQL with TimescaleDB extension
- Schema Design:
- User accounts and profiles
- Trading history and positions
- Permissions and configurations
- Audit logs
- Analytics aggregations
- Performance:
- Read replicas for analytics
- Connection pooling
- Indexed queries
- Partitioning for large tables
7. Monitoring Layer
- Metrics: Prometheus + Grafana
- Logs: ELK Stack (Elasticsearch, Logstash, Kibana)
- Errors: Sentry for exception tracking
- APM: Datadog for application performance
- Alerts: PagerDuty for critical incidents
Technology Stack
Backend
- Language: Python 3.11+
- Framework: FastAPI
- Database: PostgreSQL 14+ with TimescaleDB
- Cache: Redis 7+
- Message Queue: RabbitMQ or Kafka
- Secrets: HashiCorp Vault
Frontend (Mobile)
- Framework: React Native 0.72+
- State Management: Redux Toolkit
- Navigation: React Navigation
- Charts: Recharts / Victory Native
- Real-time: Socket.io client
Infrastructure
- Orchestration: Kubernetes (K8s)
- CI/CD: GitHub Actions
- Cloud: AWS / GCP / Railway
- Monitoring: Prometheus, Grafana, ELK
- Load Balancer: Nginx / Kong
Security
- Encryption: AES-256-GCM
- Secrets: HashiCorp Vault
- Auth: JWT with refresh tokens
- API Security: OAuth2 / API keys
- Network: TLS 1.3, VPN for admin access
Deployment Strategy
Development Environment
- Docker Compose for local development
- Mock API vault for testing
- In-memory Redis and PostgreSQL
- Hot reload for rapid iteration
Staging Environment
- Kubernetes cluster (3 nodes)
- Real integrations with test accounts
- Production-like configuration
- Load testing and QA
Production Environment
- Kubernetes cluster (5+ nodes)
- Multi-AZ deployment
- Auto-scaling (HPA)
- Blue-green deployment
- 99.9% uptime SLA
Security Considerations
Data Protection
- At Rest: AES-256 encryption for all sensitive data
- In Transit: TLS 1.3 for all communications
- Secrets: HashiCorp Vault with auto-rotation
- PII: GDPR-compliant data handling
Authentication & Authorization
- Multi-factor: SMS/Email OTP, TOTP (Authenticator apps)
- Session Management: JWT with short expiry (15 min)
- Refresh Tokens: Secure, HTTP-only cookies
- Password Policy: Minimum 12 chars, complexity requirements
- Brute Force: Rate limiting + account lockout
API Security
- Rate Limiting: Per-user and per-IP limits
- Input Validation: Strict schema validation
- SQL Injection: Parameterized queries only
- XSS Protection: Content Security Policy
- CSRF Protection: Token-based validation
Compliance
- SOC 2: Compliance-ready architecture
- GDPR: Data privacy and right to deletion
- PCI DSS: If handling payment data
- Audit Logs: Immutable audit trail
Scalability Plan
Horizontal Scaling
- API Services: Auto-scale based on CPU/memory
- Execution Workers: Scale based on queue depth
- Database: Read replicas for queries
- Cache: Redis cluster for high throughput
Database Optimization
- Partitioning: Time-series data by date
- Indexing: Strategic indexes on query patterns
- Connection Pooling: PgBouncer for connection reuse
- Query Optimization: EXPLAIN ANALYZE for slow queries
Caching Strategy
- Redis: User sessions, permissions, rate limits
- CDN: Static assets for mobile app
- Application Cache: In-memory cache for hot data
- Cache Invalidation: Event-driven updates
Monitoring & Alerting
Key Metrics
- System: CPU, memory, disk, network
- Application: Request rate, latency, error rate
- Business: Trades executed, active users, PnL
- Security: Failed logins, API abuse, anomalies
Alert Thresholds
- Critical: System down, data loss, security breach
- High: High error rate, performance degradation
- Medium: Unusual patterns, approaching limits
- Low: Informational, trends
SLA Targets
- API Availability: 99.9% (8.76 hours/year downtime)
- API Latency: p50 < 100ms, p99 < 500ms
- Trade Execution: 95% within 5 seconds
- Data Accuracy: 100% (zero tolerance)
Disaster Recovery
Backup Strategy
- Database: Daily full backup, hourly incrementals
- Secrets: Vault snapshots to encrypted S3
- Code: Git with protected branches
- Configuration: Infrastructure as Code (Terraform)
Recovery Procedures
- RTO: Recovery Time Objective = 1 hour
- RPO: Recovery Point Objective = 15 minutes
- Runbooks: Documented recovery procedures
- Drills: Quarterly DR testing
Cost Optimization
Infrastructure Costs (Monthly Estimates)
- Kubernetes Cluster: $200-500
- Database (PostgreSQL): $100-300
- Redis Cache: $50-100
- Vault: $100 (self-hosted) or $300 (cloud)
- Monitoring: $100-200
- Total: $550-1,500/month for 100-1000 users
Cost Reduction Strategies
- Auto-scaling to reduce idle capacity
- Spot instances for non-critical workloads
- Reserved instances for predictable load
- Object storage for cold data
- Optimize database queries
Migration Path
Phase 1: Foundation (Weeks 1-2)
- Set up PostgreSQL database
- Deploy HashiCorp Vault
- Implement API gateway
- Create basic FastAPI services
Phase 2: API Development (Weeks 3-4)
- Dashboard API endpoints
- Trading API endpoints
- Admin API endpoints
- User migration scripts
Phase 3: Mobile App (Weeks 5-8)
- React Native app setup
- Authentication flow
- Dashboard screens
- Trading screens
- Settings screens
Phase 4: Integration (Weeks 9-10)
- Connect mobile app to APIs
- Implement WebSocket updates
- End-to-end testing
- Performance optimization
Phase 5: Launch (Weeks 11-12)
- Beta testing with select users
- Fix bugs and issues
- Production deployment
- Gradual rollout
Success Metrics
Technical KPIs
- API uptime: 99.9%
- API latency: p99 < 500ms
- Error rate: < 0.1%
- Trade execution success: > 99%
Business KPIs
- User acquisition: 100 users in month 1
- User retention: > 80% month-over-month
- Daily active users: > 60% of total
- User satisfaction: NPS > 50
Security KPIs
- Zero security breaches
- Zero data leaks
- 100% audit log coverage
- < 1 hour incident response time
Next Steps
- Review this architecture with stakeholders
- Approve technology choices and vendors
- Set up development environment (Week 1)
- Begin implementation following migration path
- Iterate and refine based on feedback
Document Version: 1.0
Last Updated: January 27, 2026
Status: ✅ Comprehensive Design Complete
Next Review: Before Phase 1 implementation