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Jiahao Zhang
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# TradingAgents Platform - Product Requirements Document (PRD)
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## 📋 Executive Summary
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**Product Name:** TradingAgents Platform
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**Version:** 2.0
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**Document Version:** 1.0
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**Last Updated:** January 2025
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**Product Manager:** TBD
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**Engineering Leads:** TBD
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### Vision Statement
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Transform TradingAgents from a CLI-based research tool into a comprehensive, cloud-native trading analysis platform with mobile-first user experience and intelligent automation.
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### Product Goals
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1. **Accessibility**: Make professional-grade trading analysis accessible to retail investors
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2. **Automation**: Provide 24/7 AI-powered market monitoring and alerts
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3. **Integration**: Seamlessly connect with major brokerage platforms
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4. **Intelligence**: Deliver personalized, context-aware trading insights
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5. **Scalability**: Support thousands of concurrent users with sub-second response times
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---
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## 🎯 Target Users & Use Cases
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### Primary Users
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- **Retail Investors**: Individual traders seeking professional-level analysis
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- **Portfolio Managers**: Small fund managers needing comprehensive research tools
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- **Financial Advisors**: Professionals requiring client portfolio insights
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### Key Use Cases
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1. **Daily Portfolio Monitoring**: Automated analysis of existing positions
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2. **New Investment Research**: Multi-agent analysis of potential investments
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3. **Risk Management**: Real-time risk assessment and alerts
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4. **Market Event Response**: Immediate analysis of market-moving events
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5. **Strategy Backtesting**: Historical performance validation of trading strategies
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---
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# 🖥️ SERVER DEVELOPMENT REQUIREMENTS
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## 1. Core Infrastructure & Architecture
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### 1.1 Cloud-Native Agent Infrastructure
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**Priority:** 🔴 Critical
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**Timeline:** Q1-Q2 2025
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**Effort:** 8 weeks
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#### Requirements:
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- **Microservices Architecture**
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- Containerized agent services (Docker + Kubernetes)
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- Service mesh for inter-service communication (Istio)
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- API Gateway for request routing and rate limiting
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- Auto-scaling based on demand (HPA/VPA)
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- **Multi-Cloud Deployment**
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- Primary: AWS (EKS, Lambda, RDS, ElastiCache)
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- Secondary: Azure (AKS, Functions, PostgreSQL)
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- Disaster recovery and failover capabilities
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- Global CDN for static assets
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- **Message Queue System**
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- Apache Kafka for real-time event streaming
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- Redis for task scheduling and session management
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- Celery for distributed task execution
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- Dead letter queues for failed processing
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#### Technical Specifications:
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```python
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class CloudAgentOrchestrator:
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def __init__(self):
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self.agent_registry = AgentRegistry()
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self.task_queue = KafkaProducer()
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self.scheduler = CeleryScheduler()
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async def execute_analysis(self, request: AnalysisRequest) -> AnalysisResult:
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# Orchestrate multi-agent analysis pipeline
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pass
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def schedule_recurring_analysis(self, user_id: str, schedule: str):
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# Schedule automated daily/weekly analysis
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pass
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```
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### 1.2 Enhanced Data Pipeline
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**Priority:** 🔴 Critical
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**Timeline:** Q1 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **Real-time Data Integration**
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- Alpha Vantage, Polygon.io, IEX Cloud APIs
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- WebSocket connections for live market data
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- Data normalization and validation layer
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- Automatic failover between data providers
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- **Time-Series Database**
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- InfluxDB for high-frequency market data
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- PostgreSQL for user data and configurations
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- Redis for caching frequently accessed data
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- Data retention policies and archival
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- **Data Quality Assurance**
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- Automated data validation pipelines
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- Outlier detection and correction
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- Data source reliability scoring
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- Missing data interpolation strategies
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## 2. Portfolio Management System
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### 2.1 User Portfolio Backend
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 10 weeks
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#### Requirements:
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- **Position Management API**
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```python
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class PortfolioAPI:
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@app.post("/portfolio/positions")
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async def add_position(position: UserPosition) -> PositionResponse:
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pass
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@app.get("/portfolio/{user_id}/positions")
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async def get_positions(user_id: str) -> List[UserPosition]:
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pass
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@app.put("/portfolio/positions/{position_id}")
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async def update_position(position_id: str, updates: PositionUpdate):
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pass
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```
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- **Broker Integration Layer**
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- TD Ameritrade API integration
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- Schwab API integration
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- Fidelity API integration
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- E*TRADE API integration
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- Interactive Brokers API integration
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- OAuth 2.0 authentication flow
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- Automatic position synchronization
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- Real-time balance updates
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- **Portfolio Analytics Engine**
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- Real-time P&L calculations
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- Risk metrics (VaR, Beta, Sharpe ratio)
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- Correlation analysis with market indices
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- Sector/geographic diversification scoring
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- Performance attribution analysis
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### 2.2 Trading History & Performance Tracking
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**Priority:** 🟡 High
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**Timeline:** Q2 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **Trade Execution Tracking**
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- Historical trade records with timestamps
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- Entry/exit price tracking
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- Commission and fee calculations
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- Tax lot management (FIFO/LIFO)
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- **Performance Analytics**
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- Time-weighted returns calculation
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- Risk-adjusted performance metrics
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- Benchmark comparison (S&P 500, sector indices)
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- Drawdown analysis and recovery periods
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- Win/loss ratio and average trade metrics
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## 3. Advanced Technical Analysis Engine
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### 3.1 Enhanced Market Analytics
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**Priority:** 🔴 Critical
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**Timeline:** Q1 2025
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**Effort:** 8 weeks
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#### Requirements:
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- **Comprehensive Technical Indicators** (50+ indicators)
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- Momentum: RSI, Williams %R, ROC, CCI, Stochastic
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- Trend: Ichimoku, MACD, ADX, Parabolic SAR
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- Volume: OBV, Money Flow Index, A/D Line
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- Volatility: Bollinger Bands, ATR, Keltner Channels
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- **Multi-Timeframe Analysis**
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- 1min, 5min, 15min, 1hr, 4hr, daily, weekly
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- Timeframe alignment scoring
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- Cross-timeframe signal confirmation
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- Adaptive timeframe selection based on volatility
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- **Pattern Recognition Engine**
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- 50+ candlestick patterns
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- Chart patterns (triangles, flags, channels)
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- Support/resistance level detection
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- Fibonacci retracement analysis
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- Elliott Wave pattern recognition
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### 3.2 Machine Learning Models
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**Priority:** 🟡 High
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**Timeline:** Q3 2025
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**Effort:** 12 weeks
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#### Requirements:
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- **Predictive Models**
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- LSTM networks for price prediction
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- Random Forest for feature importance
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- SVM for market regime classification
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- Ensemble methods for signal combination
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- **Model Training Infrastructure**
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- MLOps pipeline for model deployment
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- A/B testing framework for model comparison
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- Feature store for consistent data access
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- Model versioning and rollback capabilities
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## 4. Celebrity Strategy Agents
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### 4.1 Strategy Implementation
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**Priority:** 🟡 Medium
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**Timeline:** Q3 2025
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**Effort:** 10 weeks
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#### Requirements:
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- **Warren Buffett Value Strategy**
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```python
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class BuffettStrategyAgent:
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def analyze(self, stock_data: StockData) -> StrategyResult:
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intrinsic_value = self.calculate_dcf_value(stock_data)
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quality_score = self.assess_company_quality(stock_data)
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moat_strength = self.evaluate_competitive_advantages(stock_data)
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return StrategyResult(
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recommendation=self.generate_recommendation(),
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confidence=self.calculate_confidence(),
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reasoning=self.explain_analysis()
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)
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```
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- **Cathie Wood Innovation Strategy**
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- Disruptive technology scoring
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- TAM (Total Addressable Market) analysis
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- Patent portfolio evaluation
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- Technology adoption curve positioning
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- **Ray Dalio Risk Parity Strategy**
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- Macroeconomic factor analysis
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- Risk-weighted asset allocation
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- Correlation-based diversification
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- Economic cycle positioning
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## 5. Notification & Alert System
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### 5.1 Intelligent Notification Engine
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 8 weeks
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#### Requirements:
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- **Scheduled Analysis Pipeline**
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- Pre-market analysis (6 AM ET)
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- Midday position updates (12 PM ET)
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- After-hours summary (6 PM ET)
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- Weekend portfolio review (Sunday)
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- **Event-Driven Alerts**
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- Earnings announcement impacts
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- News sentiment analysis
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- Price target breaches
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- Volatility spike detection
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- Sector rotation opportunities
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- **Multi-Channel Delivery**
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- Push notifications via Firebase
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- Email templates with rich formatting
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- SMS alerts for critical events
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- Webhook integrations for third-party services
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### 5.2 Personalization Engine
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**Priority:** 🟡 High
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**Timeline:** Q2 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **User Behavior Analysis**
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- Trading pattern recognition
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- Risk tolerance profiling
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- Sector preference learning
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- Optimal notification timing
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- Communication channel preferences
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- **Adaptive Recommendations**
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- Machine learning-based personalization
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- Historical performance correlation
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- Market condition adaptability
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- Goal-based strategy alignment
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## 6. API & Integration Layer
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### 6.1 RESTful API Design
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**Priority:** 🔴 Critical
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**Timeline:** Q1 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **Core API Endpoints**
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```python
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# Authentication
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POST /auth/login
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POST /auth/register
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POST /auth/refresh
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# Analysis
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POST /analysis/stock/{ticker}
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GET /analysis/{analysis_id}/status
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GET /analysis/{analysis_id}/results
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# Portfolio
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GET /portfolio/{user_id}
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POST /portfolio/positions
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PUT /portfolio/positions/{position_id}
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DELETE /portfolio/positions/{position_id}
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# Notifications
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GET /notifications/{user_id}
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POST /notifications/subscribe
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PUT /notifications/preferences
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```
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- **API Security & Performance**
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- JWT-based authentication
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- Rate limiting (100 requests/minute per user)
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- Request/response caching
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- API versioning strategy
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- Comprehensive error handling
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### 6.2 Webhook & Real-time Updates
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**Priority:** 🟡 Medium
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**Timeline:** Q2 2025
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**Effort:** 4 weeks
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#### Requirements:
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- **WebSocket Connections**
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- Real-time analysis progress updates
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- Live portfolio value streaming
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- Market event notifications
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- Chat support integration
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- **Webhook Integration**
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- Third-party service notifications
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- Trading platform integrations
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- Custom alert routing
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- Retry logic and failure handling
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---
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# 📱 MOBILE DEVELOPMENT REQUIREMENTS
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## 1. Core Mobile Application
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### 1.1 Native iOS/Android Apps
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 16 weeks
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**Platform:** React Native (Cross-platform)
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#### Requirements:
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- **Authentication & Onboarding**
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- Secure login with biometric authentication
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- OAuth integration with brokers
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- User profile setup wizard
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- Risk tolerance questionnaire
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- Portfolio import flow
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- **Main Navigation Structure**
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```
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TabBar Navigation:
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├── Portfolio (Default)
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├── Analysis
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├── Notifications
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├── Watchlist
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└── Profile
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```
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### 1.2 Portfolio Dashboard
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 8 weeks
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#### Requirements:
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- **Real-time Portfolio Overview**
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- Total portfolio value with P&L
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- Daily/weekly/monthly performance charts
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- Top gainers/losers list
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- Sector allocation pie chart
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- Risk exposure metrics
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- **Position Details**
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- Individual position cards with key metrics
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- Drag-to-refresh for real-time updates
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- Swipe actions for quick analysis
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- Position-specific news and alerts
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- Exit strategy recommendations
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- **Interactive Charts**
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- Multi-timeframe price charts
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- Technical indicator overlays
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- Pinch-to-zoom and pan gestures
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- Volume bars and moving averages
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- Candlestick and line chart modes
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### 1.3 One-Tap Analysis Interface
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **Quick Analysis Flow**
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```swift
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struct AnalysisView: View {
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@State private var analysisProgress: Double = 0.0
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@State private var currentAgent: String = ""
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var body: some View {
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VStack {
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ProgressView(value: analysisProgress)
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.progressViewStyle(LinearProgressViewStyle())
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Text("Analyzing with \(currentAgent)...")
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.font(.caption)
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// Real-time agent status updates
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AgentStatusList(agents: analysisAgents)
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}
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}
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}
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```
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- **Results Presentation**
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- Executive summary card
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- Agent-by-agent breakdown
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- Risk assessment visualization
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- Recommendation confidence scoring
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- Actionable next steps
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## 2. Broker Integration
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### 2.1 Account Linking
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**Priority:** 🔴 Critical
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**Timeline:** Q2 2025
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**Effort:** 10 weeks
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#### Requirements:
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- **Supported Brokers**
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- Charles Schwab (OAuth integration)
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- TD Ameritrade (API v2)
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- Fidelity (Web services)
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- E*TRADE (API v1)
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- Interactive Brokers (TWS API)
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- Robinhood (Unofficial API)
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- **Secure Authentication Flow**
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```swift
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class BrokerAuthManager {
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func linkBrokerAccount(broker: BrokerType) async throws -> BrokerAccount {
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// OAuth 2.0 flow with broker
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// Secure credential storage in Keychain
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// Account verification and balance sync
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}
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func syncPortfolioData() async throws -> Portfolio {
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// Fetch positions, balances, and transaction history
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// Update local database with new data
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// Handle API rate limits and errors
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}
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}
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```
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- **Data Synchronization**
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- Automatic daily portfolio sync
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- Real-time balance updates
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- Transaction history import
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- Cost basis calculations
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- Dividend and corporate action tracking
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|
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### 2.2 Position Management
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**Priority:** 🟡 High
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**Timeline:** Q2 2025
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**Effort:** 6 weeks
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#### Requirements:
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- **Manual Position Entry**
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- Quick add position form
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- Barcode scanning for stock lookup
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- Bulk import via CSV/Excel
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- Photo import of brokerage statements
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|
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- **Position Editing & Tracking**
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- Lot-by-lot editing capabilities
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- Tax optimization suggestions
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- Performance tracking by acquisition date
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- Alert setup for price targets
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## 3. Push Notifications & Alerts
|
||||
|
||||
### 3.1 Intelligent Notification System
|
||||
**Priority:** 🔴 Critical
|
||||
**Timeline:** Q2 2025
|
||||
**Effort:** 6 weeks
|
||||
|
||||
#### Requirements:
|
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- **Notification Types**
|
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- **Daily Briefings**: Morning market outlook
|
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- **Position Alerts**: Significant price movements
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- **Risk Warnings**: Portfolio risk threshold breaches
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- **Opportunity Alerts**: New investment suggestions
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- **Market Events**: Earnings, news, economic data
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|
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- **Personalized Delivery**
|
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```swift
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class NotificationManager {
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func schedulePersonalizedNotifications(for user: User) {
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// Morning briefing at user's preferred time
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scheduleMorningBriefing(time: user.preferences.morningTime)
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// Position alerts based on volatility tolerance
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setupPositionAlerts(threshold: user.riskTolerance)
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// Market event notifications for user's holdings
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subscribeToMarketEvents(portfolio: user.portfolio)
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}
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}
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```
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||||
### 3.2 In-App Notification Center
|
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**Priority:** 🟡 Medium
|
||||
**Timeline:** Q2 2025
|
||||
**Effort:** 4 weeks
|
||||
|
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#### Requirements:
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- **Notification History**
|
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- Chronological list of all notifications
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- Category filtering (alerts, briefings, news)
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- Search functionality
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- Read/unread status tracking
|
||||
|
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- **Notification Actions**
|
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- Quick actions from notification
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- Deep linking to relevant screens
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- Snooze and reminder options
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- Sharing capabilities
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|
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## 4. Advanced Mobile Features
|
||||
|
||||
### 4.1 Offline Capabilities
|
||||
**Priority:** 🟡 Medium
|
||||
**Timeline:** Q3 2025
|
||||
**Effort:** 8 weeks
|
||||
|
||||
#### Requirements:
|
||||
- **Data Caching Strategy**
|
||||
- Portfolio data offline access
|
||||
- Recent analysis results caching
|
||||
- News and research content offline
|
||||
- Sync conflict resolution
|
||||
|
||||
- **Offline Analysis Queue**
|
||||
- Queue analysis requests when offline
|
||||
- Automatic sync when connection restored
|
||||
- Progress tracking for queued requests
|
||||
- User notification upon completion
|
||||
|
||||
### 4.2 Widget & Watch Extensions
|
||||
**Priority:** 🟢 Low
|
||||
**Timeline:** Q4 2025
|
||||
**Effort:** 6 weeks
|
||||
|
||||
#### Requirements:
|
||||
- **iOS Home Screen Widgets**
|
||||
- Portfolio performance widget
|
||||
- Top movers widget
|
||||
- Market indices widget
|
||||
- Quick analysis button widget
|
||||
|
||||
- **Apple Watch App**
|
||||
- Portfolio value glance
|
||||
- Price alerts and notifications
|
||||
- Quick position lookup
|
||||
- Voice-activated stock quotes
|
||||
|
||||
### 4.3 Advanced UI/UX Features
|
||||
**Priority:** 🟡 Medium
|
||||
**Timeline:** Q3 2025
|
||||
**Effort:** 8 weeks
|
||||
|
||||
#### Requirements:
|
||||
- **Dark Mode Support**
|
||||
- Automatic theme switching
|
||||
- Custom color schemes
|
||||
- Chart color adaptation
|
||||
- Eye-friendly reading mode
|
||||
|
||||
- **Accessibility Features**
|
||||
- VoiceOver support for all screens
|
||||
- Dynamic type sizing
|
||||
- High contrast mode
|
||||
- Voice navigation capabilities
|
||||
|
||||
- **Gesture Controls**
|
||||
- Swipe gestures for navigation
|
||||
- Long press for context menus
|
||||
- Pinch-to-zoom on charts
|
||||
- Shake to refresh functionality
|
||||
|
||||
---
|
||||
|
||||
# 🚀 DEVELOPMENT ROADMAP
|
||||
|
||||
## Phase 1: Foundation (Q1 2025)
|
||||
**Duration:** 12 weeks
|
||||
**Focus:** Core Infrastructure
|
||||
|
||||
### Server Development:
|
||||
- [ ] Cloud infrastructure setup (AWS/Azure)
|
||||
- [ ] Enhanced technical analysis engine
|
||||
- [ ] Real-time data pipeline
|
||||
- [ ] Core API development
|
||||
- [ ] Security and authentication system
|
||||
|
||||
### Mobile Development:
|
||||
- [ ] React Native project setup
|
||||
- [ ] Basic navigation structure
|
||||
- [ ] Authentication screens
|
||||
- [ ] Portfolio dashboard mockups
|
||||
- [ ] Design system establishment
|
||||
|
||||
## Phase 2: Core Features (Q2 2025)
|
||||
**Duration:** 16 weeks
|
||||
**Focus:** Portfolio Management & Mobile App
|
||||
|
||||
### Server Development:
|
||||
- [ ] Portfolio management system
|
||||
- [ ] Broker API integrations
|
||||
- [ ] Notification engine
|
||||
- [ ] User personalization system
|
||||
- [ ] Performance optimization
|
||||
|
||||
### Mobile Development:
|
||||
- [ ] Complete mobile app development
|
||||
- [ ] Broker account linking
|
||||
- [ ] Real-time portfolio sync
|
||||
- [ ] Push notification system
|
||||
- [ ] One-tap analysis implementation
|
||||
|
||||
## Phase 3: Advanced Features (Q3 2025)
|
||||
**Duration:** 12 weeks
|
||||
**Focus:** AI Enhancement & Strategy Agents
|
||||
|
||||
### Server Development:
|
||||
- [ ] Celebrity strategy agents
|
||||
- [ ] Machine learning models
|
||||
- [ ] Advanced pattern recognition
|
||||
- [ ] Backtesting engine
|
||||
- [ ] Social features foundation
|
||||
|
||||
### Mobile Development:
|
||||
- [ ] Advanced UI/UX features
|
||||
- [ ] Offline capabilities
|
||||
- [ ] Performance optimization
|
||||
- [ ] Beta testing and feedback integration
|
||||
|
||||
## Phase 4: Scale & Polish (Q4 2025)
|
||||
**Duration:** 12 weeks
|
||||
**Focus:** Production Launch
|
||||
|
||||
### Server Development:
|
||||
- [ ] Load testing and optimization
|
||||
- [ ] Additional strategy agents
|
||||
- [ ] Advanced analytics
|
||||
- [ ] Compliance features
|
||||
- [ ] Enterprise integrations
|
||||
|
||||
### Mobile Development:
|
||||
- [ ] Widget and watch extensions
|
||||
- [ ] Advanced accessibility features
|
||||
- [ ] App Store optimization
|
||||
- [ ] Production deployment
|
||||
|
||||
---
|
||||
|
||||
# 📊 SUCCESS METRICS & KPIs
|
||||
|
||||
## User Engagement Metrics
|
||||
- **Daily Active Users (DAU)**: Target 10,000 by Q4 2025
|
||||
- **Monthly Active Users (MAU)**: Target 50,000 by Q4 2025
|
||||
- **Analysis Completion Rate**: Target >85%
|
||||
- **User Retention Rate**: Target >60% (30-day retention)
|
||||
- **Session Duration**: Target >5 minutes average
|
||||
- **Feature Adoption Rate**: Target >70% for core features
|
||||
|
||||
## Technical Performance Metrics
|
||||
- **API Response Time**: <500ms for 95% of requests
|
||||
- **App Launch Time**: <3 seconds on average device
|
||||
- **System Uptime**: 99.9% availability
|
||||
- **Analysis Execution Time**: <2 minutes for standard analysis
|
||||
- **Concurrent User Capacity**: 1,000+ simultaneous users
|
||||
- **Mobile App Crash Rate**: <0.1%
|
||||
|
||||
## Business Metrics
|
||||
- **User Acquisition Cost (CAC)**: Target <$50
|
||||
- **Customer Lifetime Value (LTV)**: Target >$200
|
||||
- **Conversion Rate**: Free to paid conversion >15%
|
||||
- **Net Promoter Score (NPS)**: Target >50
|
||||
- **App Store Rating**: Target >4.5 stars
|
||||
- **Revenue Growth**: Target $1M ARR by Q4 2025
|
||||
|
||||
## Analysis Quality Metrics
|
||||
- **Prediction Accuracy**: Track against actual stock performance
|
||||
- **User Satisfaction Score**: Target >4.0/5.0
|
||||
- **Portfolio Performance Improvement**: Measure user portfolio returns
|
||||
- **Risk-Adjusted Returns**: Sharpe ratio improvement tracking
|
||||
- **Alert Effectiveness**: False positive rate <10%
|
||||
|
||||
---
|
||||
|
||||
# 🛡️ SECURITY & COMPLIANCE
|
||||
|
||||
## Data Security Requirements
|
||||
- **Encryption**: End-to-end encryption for all sensitive data
|
||||
- **API Security**: OAuth 2.0, JWT tokens, rate limiting
|
||||
- **Data Storage**: Encrypted at rest, secure key management
|
||||
- **Network Security**: TLS 1.3, certificate pinning
|
||||
- **Mobile Security**: Biometric authentication, secure keychain storage
|
||||
|
||||
## Regulatory Compliance
|
||||
- **GDPR Compliance**: User data privacy and portability
|
||||
- **CCPA Compliance**: California consumer privacy rights
|
||||
- **SOC 2 Type II**: Security and availability controls
|
||||
- **Financial Regulations**: SEC compliance for investment advice
|
||||
- **Data Retention**: Automated data lifecycle management
|
||||
|
||||
## Risk Management
|
||||
- **Disaster Recovery**: Multi-region backup and failover
|
||||
- **Business Continuity**: 99.9% uptime SLA
|
||||
- **Incident Response**: 24/7 monitoring and alerting
|
||||
- **Penetration Testing**: Quarterly security assessments
|
||||
- **Compliance Audits**: Annual third-party security audits
|
||||
|
||||
---
|
||||
|
||||
This PRD serves as the comprehensive guide for developing TradingAgents into a world-class trading analysis platform. The separation between server and mobile development ensures clear ownership and parallel development streams while maintaining integration points and shared objectives.
|
||||
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Reference in New Issue