adding data-services
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ARCHITECTURE.md
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# 🏗️ Stock Bot Trading System - Architecture Documentation
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## 📋 Table of Contents
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- [System Overview](#system-overview)
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- [Current Architecture](#current-architecture)
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- [Service Breakdown](#service-breakdown)
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- [Data Flow](#data-flow)
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- [Technology Stack](#technology-stack)
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- [Future Architecture](#future-architecture)
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- [Improvement Recommendations](#improvement-recommendations)
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- [Deployment Architecture](#deployment-architecture)
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- [Security Architecture](#security-architecture)
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- [Monitoring & Observability](#monitoring--observability)
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---
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## 🎯 System Overview
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The Stock Bot Trading System is a **microservice-based**, **event-driven** trading platform built for **real-time market analysis**, **strategy execution**, and **risk management**. The system follows a **service-oriented architecture (SOA)** with **clear separation of concerns** and **horizontal scalability**.
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### Core Principles
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- **Microservices Architecture**: Independent, deployable services
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- **Event-Driven Communication**: WebSocket and Redis pub/sub
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- **Real-Time Processing**: Sub-second latency requirements
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- **Scalable Design**: Horizontal scaling capabilities
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- **Fault Tolerance**: Circuit breakers and graceful degradation
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- **Type Safety**: Full TypeScript implementation
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---
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## 🏗️ Current Architecture
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```mermaid
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graph TB
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subgraph "Frontend Layer"
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UI[Angular Trading Dashboard]
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end
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subgraph "API Gateway Layer"
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GW[API Gateway - Future]
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end
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subgraph "Core Services"
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MDG[Market Data Gateway<br/>Port 3001]
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RG[Risk Guardian<br/>Port 3002]
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SO[Strategy Orchestrator<br/>Port 4001]
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end
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subgraph "Data Layer"
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Redis[(Redis Cache)]
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PG[(PostgreSQL)]
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QDB[(QuestDB)]
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Mongo[(MongoDB)]
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end
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subgraph "External APIs"
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Alpha[Alpha Vantage]
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IEX[IEX Cloud]
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Yahoo[Yahoo Finance]
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end
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UI -->|WebSocket/HTTP| MDG
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UI -->|WebSocket/HTTP| RG
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UI -->|WebSocket/HTTP| SO
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MDG --> Redis
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MDG --> QDB
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MDG -->|Fetch Data| Alpha
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MDG -->|Fetch Data| IEX
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MDG -->|Fetch Data| Yahoo
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RG --> Redis
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RG --> PG
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SO --> Redis
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SO --> PG
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SO --> Mongo
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```
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---
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## 🔧 Service Breakdown
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### **1. Interface Services**
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#### **Trading Dashboard** (`apps/interface-services/trading-dashboard`)
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- **Framework**: Angular 20 + Angular Material + Tailwind CSS
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- **Port**: 4200 (development)
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- **Purpose**: Real-time trading interface and strategy management
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- **Key Features**:
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- Real-time market data visualization
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- Strategy creation and backtesting UI
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- Risk management dashboard
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- Portfolio monitoring
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- WebSocket integration for live updates
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**Current Structure:**
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```
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trading-dashboard/
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├── src/
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│ ├── app/
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│ │ ├── components/ # Reusable UI components
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│ │ │ ├── sidebar/ # Navigation sidebar
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│ │ │ └── notifications/ # Alert system
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│ │ ├── pages/ # Route-based pages
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│ │ │ ├── dashboard/ # Main trading dashboard
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│ │ │ ├── market-data/ # Market data visualization
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│ │ │ ├── portfolio/ # Portfolio management
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│ │ │ ├── strategies/ # Strategy management
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│ │ │ └── risk-management/ # Risk controls
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│ │ ├── services/ # Angular services
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│ │ │ ├── api.service.ts # HTTP API communication
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│ │ │ ├── websocket.service.ts # WebSocket management
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│ │ │ └── strategy.service.ts # Strategy operations
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│ │ └── shared/ # Shared utilities
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│ └── styles.css # Global styles
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```
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### **2. Core Services**
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#### **Market Data Gateway** (`apps/core-services/market-data-gateway`)
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- **Framework**: Hono + Bun
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- **Port**: 3001
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- **Purpose**: Market data aggregation and real-time distribution
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- **Database**: QuestDB (time-series), Redis (caching)
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**Responsibilities:**
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- Aggregate data from multiple market data providers
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- Real-time WebSocket streaming to clients
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- Historical data storage and retrieval
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- Rate limiting and API management
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- Data normalization and validation
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**API Endpoints:**
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```
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GET /health # Health check
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GET /api/market-data/:symbol # Get latest market data
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GET /api/historical/:symbol # Get historical data
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WS /ws # WebSocket for real-time data
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```
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#### **Risk Guardian** (`apps/core-services/risk-guardian`)
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- **Framework**: Hono + Bun
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- **Port**: 3002
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- **Purpose**: Real-time risk monitoring and controls
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- **Database**: PostgreSQL (persistent), Redis (real-time)
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**Responsibilities:**
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- Position size monitoring
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- Daily loss tracking
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- Portfolio risk assessment
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- Volatility monitoring
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- Real-time risk alerts
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- Risk threshold management
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**API Endpoints:**
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```
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GET /health # Health check
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GET /api/risk/thresholds # Get risk thresholds
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PUT /api/risk/thresholds # Update risk thresholds
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POST /api/risk/evaluate # Evaluate position risk
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GET /api/risk/history # Risk evaluation history
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WS /ws # WebSocket for risk alerts
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```
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#### **Strategy Orchestrator** (`apps/intelligence-services/strategy-orchestrator`)
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- **Framework**: Hono + Bun
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- **Port**: 4001
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- **Purpose**: Strategy lifecycle management and execution
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- **Database**: MongoDB (strategies), PostgreSQL (trades), Redis (signals)
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**Responsibilities:**
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- Strategy creation and management
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- Backtesting engine (vectorized & event-based)
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- Real-time strategy execution
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- Signal generation and broadcasting
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- Performance analytics
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- Strategy optimization
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**Current Structure:**
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```
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strategy-orchestrator/
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├── src/
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│ ├── core/
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│ │ ├── backtesting/
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│ │ │ ├── BacktestEngine.ts # Main backtesting engine
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│ │ │ ├── BacktestService.ts # Backtesting service layer
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│ │ │ ├── MarketDataFeed.ts # Historical data provider
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│ │ │ └── PerformanceAnalytics.ts # Performance metrics
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│ │ ├── execution/
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│ │ │ └── StrategyExecutionService.ts # Real-time execution
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│ │ ├── strategies/
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│ │ │ ├── Strategy.ts # Base strategy interface
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│ │ │ ├── StrategyRegistry.ts # Strategy management
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│ │ │ ├── BaseStrategy.ts # Abstract base class
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│ │ │ ├── VectorizedStrategy.ts # Vectorized base class
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│ │ │ ├── MovingAverageCrossover.ts # MA strategy
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│ │ │ └── MeanReversionStrategy.ts # Mean reversion
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│ │ └── indicators/
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│ │ └── TechnicalIndicators.ts # Technical analysis
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│ ├── controllers/
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│ │ └── StrategyController.ts # API endpoints
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│ └── index.ts # Main entry point
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```
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**API Endpoints:**
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```
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GET /health # Health check
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GET /api/strategies # List strategies
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POST /api/strategies # Create strategy
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PUT /api/strategies/:id # Update strategy
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POST /api/strategies/:id/:action # Start/stop/pause strategy
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GET /api/strategies/:id/signals # Get strategy signals
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POST /api/strategies/:id/backtest # Run backtest
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GET /api/strategies/:id/performance # Get performance metrics
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WS /ws # WebSocket for strategy updates
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```
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### **3. Shared Packages**
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#### **Shared Types** (`packages/shared-types`)
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```typescript
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export interface MarketData {
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symbol: string;
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price: number;
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volume: number;
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timestamp: Date;
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bid: number;
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ask: number;
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}
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export interface Strategy {
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id: string;
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name: string;
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symbols: string[];
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parameters: Record<string, any>;
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status: 'ACTIVE' | 'PAUSED' | 'STOPPED';
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}
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export interface BacktestResult {
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totalReturn: number;
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sharpeRatio: number;
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maxDrawdown: number;
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winRate: number;
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totalTrades: number;
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}
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```
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#### **Configuration** (`packages/config`)
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```typescript
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export const config = {
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redis: {
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host: process.env.REDIS_HOST || 'localhost',
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port: parseInt(process.env.REDIS_PORT || '6379')
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},
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database: {
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postgres: process.env.POSTGRES_URL,
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questdb: process.env.QUESTDB_URL,
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mongodb: process.env.MONGODB_URL
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},
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marketData: {
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alphaVantageKey: process.env.ALPHA_VANTAGE_KEY,
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iexKey: process.env.IEX_KEY
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}
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};
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```
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---
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## 🔄 Data Flow
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### **Real-Time Market Data Flow**
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```mermaid
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sequenceDiagram
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participant EXT as External APIs
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participant MDG as Market Data Gateway
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participant Redis as Redis Cache
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participant QDB as QuestDB
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participant UI as Trading Dashboard
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EXT->>MDG: Market data feed
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MDG->>Redis: Cache latest prices
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MDG->>QDB: Store historical data
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MDG->>UI: WebSocket broadcast
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UI->>UI: Update charts/tables
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```
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### **Strategy Execution Flow**
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```mermaid
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sequenceDiagram
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participant UI as Trading Dashboard
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participant SO as Strategy Orchestrator
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participant MDG as Market Data Gateway
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participant RG as Risk Guardian
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participant Redis as Redis
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UI->>SO: Start strategy
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SO->>MDG: Subscribe to market data
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MDG->>SO: Real-time price updates
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SO->>SO: Generate trading signals
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SO->>RG: Risk evaluation
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RG->>SO: Risk approval/rejection
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SO->>Redis: Store signals
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SO->>UI: WebSocket signal broadcast
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```
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---
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## 💻 Technology Stack
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### **Backend**
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- **Runtime**: Bun (ultra-fast JavaScript runtime)
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- **Web Framework**: Hono (lightweight, fast web framework)
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- **Language**: TypeScript (type safety)
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- **Build Tool**: Turbo (monorepo management)
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### **Frontend**
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- **Framework**: Angular 20 (latest stable)
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- **UI Library**: Angular Material + Tailwind CSS
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- **State Management**: Angular Signals (reactive programming)
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- **WebSocket**: Native WebSocket API
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### **Databases**
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- **Time-Series**: QuestDB (market data storage)
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- **Relational**: PostgreSQL (structured data)
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- **Document**: MongoDB (strategy configurations)
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- **Cache/Pub-Sub**: Redis (real-time data)
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### **Infrastructure**
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- **Containerization**: Docker + Docker Compose
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- **Process Management**: PM2 (production)
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- **Monitoring**: Built-in health checks
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- **Development**: Hot reload, TypeScript compilation
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---
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## 🚀 Future Architecture
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### **Phase 1: Enhanced Microservices (Q2 2025)**
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```mermaid
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graph TB
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subgraph "API Gateway Layer"
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GW[Kong/Envoy API Gateway]
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LB[Load Balancer]
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end
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subgraph "Authentication"
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AUTH[Auth Service<br/>JWT + OAuth]
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end
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subgraph "Core Services"
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MDG[Market Data Gateway]
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RG[Risk Guardian]
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SO[Strategy Orchestrator]
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OE[Order Execution Engine]
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NS[Notification Service]
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end
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subgraph "Analytics Services"
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BA[Backtest Analytics]
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PA[Performance Analytics]
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ML[ML Prediction Service]
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end
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subgraph "Message Queue"
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NATS[NATS/Apache Kafka]
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end
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```
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### **Phase 2: Machine Learning Integration (Q3 2025)**
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- **ML Pipeline**: Python-based ML services
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- **Feature Engineering**: Real-time feature computation
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- **Model Training**: Automated model retraining
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- **Prediction API**: Real-time predictions
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### **Phase 3: Multi-Asset Support (Q4 2025)**
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- **Crypto Trading**: Binance, Coinbase integration
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- **Forex Trading**: OANDA, FXCM integration
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- **Options Trading**: Interactive Brokers integration
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- **Futures Trading**: CME, ICE integration
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---
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## 📈 Improvement Recommendations
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### **1. High Priority Improvements**
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#### **API Gateway Implementation**
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```typescript
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// Implement Kong or Envoy for:
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- Rate limiting per service
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- Authentication/authorization
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- Request/response transformation
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- Circuit breaker patterns
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- Load balancing
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```
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#### **Enhanced Error Handling**
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```typescript
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// Implement structured error handling:
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interface ServiceError {
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code: string;
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message: string;
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service: string;
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timestamp: Date;
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correlationId: string;
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}
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```
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#### **Comprehensive Logging**
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```typescript
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// Implement structured logging:
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interface LogEntry {
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level: 'debug' | 'info' | 'warn' | 'error';
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service: string;
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message: string;
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metadata: Record<string, any>;
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timestamp: Date;
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correlationId: string;
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}
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```
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### **2. Medium Priority Improvements**
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#### **Database Optimization**
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```sql
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-- QuestDB optimizations for market data:
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CREATE TABLE market_data (
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symbol SYMBOL,
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timestamp TIMESTAMP,
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price DOUBLE,
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volume DOUBLE,
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bid DOUBLE,
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ask DOUBLE
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) timestamp(timestamp) PARTITION BY DAY;
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-- Add indexes for fast queries:
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CREATE INDEX idx_symbol_timestamp ON market_data (symbol, timestamp);
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```
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#### **Caching Strategy**
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```typescript
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// Implement multi-layer caching:
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interface CacheStrategy {
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L1: Map<string, any>; // In-memory cache
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L2: Redis; // Distributed cache
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L3: Database; // Persistent storage
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}
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```
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#### **WebSocket Optimization**
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```typescript
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// Implement WebSocket connection pooling:
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interface WSConnectionPool {
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connections: Map<string, WebSocket[]>;
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balancer: RoundRobinBalancer;
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heartbeat: HeartbeatManager;
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}
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```
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### **3. Low Priority Improvements**
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#### **Code Quality**
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- Implement comprehensive unit tests (>90% coverage)
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- Add integration tests for all services
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- Implement E2E tests for critical user flows
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- Add performance benchmarks
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#### **Documentation**
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- API documentation with OpenAPI/Swagger
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- Developer onboarding guide
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- Deployment runbooks
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- Architecture decision records (ADRs)
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---
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## 🏗️ Deployment Architecture
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### **Development Environment**
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```yaml
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# docker-compose.dev.yml
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version: '3.8'
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services:
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# Databases
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postgres:
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image: postgres:15
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ports: ["5432:5432"]
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redis:
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image: redis:7-alpine
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ports: ["6379:6379"]
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questdb:
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image: questdb/questdb:latest
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ports: ["9000:9000", "8812:8812"]
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mongodb:
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image: mongo:6
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ports: ["27017:27017"]
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# Services
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market-data-gateway:
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build: ./apps/core-services/market-data-gateway
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ports: ["3001:3001"]
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depends_on: [redis, questdb]
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risk-guardian:
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build: ./apps/core-services/risk-guardian
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ports: ["3002:3002"]
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depends_on: [postgres, redis]
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strategy-orchestrator:
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build: ./apps/intelligence-services/strategy-orchestrator
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ports: ["4001:4001"]
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depends_on: [mongodb, postgres, redis]
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trading-dashboard:
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build: ./apps/interface-services/trading-dashboard
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ports: ["4200:4200"]
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```
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### **Production Environment**
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```yaml
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# kubernetes deployment example
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apiVersion: apps/v1
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kind: Deployment
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metadata:
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name: market-data-gateway
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spec:
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replicas: 3
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selector:
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matchLabels:
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app: market-data-gateway
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template:
|
||||
metadata:
|
||||
labels:
|
||||
app: market-data-gateway
|
||||
spec:
|
||||
containers:
|
||||
- name: market-data-gateway
|
||||
image: stockbot/market-data-gateway:latest
|
||||
ports:
|
||||
- containerPort: 3001
|
||||
resources:
|
||||
requests:
|
||||
memory: "256Mi"
|
||||
cpu: "250m"
|
||||
limits:
|
||||
memory: "512Mi"
|
||||
cpu: "500m"
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 🔒 Security Architecture
|
||||
|
||||
### **Authentication & Authorization**
|
||||
```typescript
|
||||
// JWT-based authentication
|
||||
interface AuthToken {
|
||||
userId: string;
|
||||
roles: string[];
|
||||
permissions: string[];
|
||||
expiresAt: Date;
|
||||
}
|
||||
|
||||
// Role-based access control
|
||||
enum UserRole {
|
||||
TRADER = 'TRADER',
|
||||
ADMIN = 'ADMIN',
|
||||
VIEWER = 'VIEWER'
|
||||
}
|
||||
|
||||
enum Permission {
|
||||
READ_MARKET_DATA = 'READ_MARKET_DATA',
|
||||
EXECUTE_TRADES = 'EXECUTE_TRADES',
|
||||
MANAGE_STRATEGIES = 'MANAGE_STRATEGIES',
|
||||
CONFIGURE_RISK = 'CONFIGURE_RISK'
|
||||
}
|
||||
```
|
||||
|
||||
### **API Security**
|
||||
```typescript
|
||||
// Rate limiting configuration
|
||||
interface RateLimit {
|
||||
windowMs: number; // 15 minutes
|
||||
maxRequests: number; // 100 requests per window
|
||||
skipIf: (req: Request) => boolean;
|
||||
}
|
||||
|
||||
// Input validation
|
||||
interface ApiValidation {
|
||||
schema: JSONSchema;
|
||||
sanitization: SanitizationRules;
|
||||
authentication: AuthenticationMiddleware;
|
||||
}
|
||||
```
|
||||
|
||||
### **Data Security**
|
||||
- **Encryption at Rest**: AES-256 for sensitive data
|
||||
- **Encryption in Transit**: TLS 1.3 for all communications
|
||||
- **Secrets Management**: Kubernetes secrets or HashiCorp Vault
|
||||
- **Network Security**: VPC, security groups, firewalls
|
||||
|
||||
---
|
||||
|
||||
## 📊 Monitoring & Observability
|
||||
|
||||
### **Metrics Collection**
|
||||
```typescript
|
||||
interface ServiceMetrics {
|
||||
// Performance metrics
|
||||
requestLatency: Histogram;
|
||||
requestRate: Counter;
|
||||
errorRate: Counter;
|
||||
|
||||
// Business metrics
|
||||
tradesExecuted: Counter;
|
||||
strategiesActive: Gauge;
|
||||
portfolioValue: Gauge;
|
||||
|
||||
// System metrics
|
||||
memoryUsage: Gauge;
|
||||
cpuUsage: Gauge;
|
||||
dbConnections: Gauge;
|
||||
}
|
||||
```
|
||||
|
||||
### **Health Checks**
|
||||
```typescript
|
||||
interface HealthCheck {
|
||||
service: string;
|
||||
status: 'healthy' | 'degraded' | 'unhealthy';
|
||||
checks: {
|
||||
database: boolean;
|
||||
redis: boolean;
|
||||
externalApis: boolean;
|
||||
webSocket: boolean;
|
||||
};
|
||||
uptime: number;
|
||||
version: string;
|
||||
}
|
||||
```
|
||||
|
||||
### **Alerting Rules**
|
||||
```yaml
|
||||
# Prometheus alerting rules
|
||||
groups:
|
||||
- name: stockbot
|
||||
rules:
|
||||
- alert: HighErrorRate
|
||||
expr: rate(http_requests_total{status=~"5.."}[5m]) > 0.1
|
||||
for: 2m
|
||||
|
||||
- alert: HighLatency
|
||||
expr: http_request_duration_seconds{quantile="0.95"} > 1
|
||||
for: 2m
|
||||
|
||||
- alert: ServiceDown
|
||||
expr: up{job="stockbot"} == 0
|
||||
for: 30s
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 📋 Migration Plan
|
||||
|
||||
### **Phase 1: Current → Enhanced (1-2 months)**
|
||||
1. **Week 1-2**: Implement API Gateway and authentication
|
||||
2. **Week 3-4**: Add comprehensive logging and monitoring
|
||||
3. **Week 5-6**: Enhance error handling and resilience
|
||||
4. **Week 7-8**: Performance optimization and testing
|
||||
|
||||
### **Phase 2: Enhanced → ML-Ready (2-3 months)**
|
||||
1. **Month 1**: Implement ML pipeline infrastructure
|
||||
2. **Month 2**: Develop feature engineering services
|
||||
3. **Month 3**: Integrate ML predictions into strategies
|
||||
|
||||
### **Phase 3: ML-Ready → Multi-Asset (3-4 months)**
|
||||
1. **Month 1**: Abstract market data interfaces
|
||||
2. **Month 2**: Implement crypto trading support
|
||||
3. **Month 3**: Add forex and options trading
|
||||
4. **Month 4**: Performance optimization and testing
|
||||
|
||||
---
|
||||
|
||||
## 🎯 Success Metrics
|
||||
|
||||
### **Technical KPIs**
|
||||
- **Latency**: < 100ms for market data updates
|
||||
- **Throughput**: > 10,000 requests/second
|
||||
- **Availability**: 99.9% uptime
|
||||
- **Error Rate**: < 0.1% of requests
|
||||
|
||||
### **Business KPIs**
|
||||
- **Strategy Performance**: Sharpe ratio > 1.5
|
||||
- **Risk Management**: Max drawdown < 5%
|
||||
- **Execution Quality**: Slippage < 0.01%
|
||||
- **System Adoption**: > 90% user satisfaction
|
||||
|
||||
---
|
||||
|
||||
This architecture document serves as a living blueprint for the Stock Bot Trading System, providing clear guidance for current development and future scaling decisions.
|
||||
Loading…
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Reference in a new issue