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TradingAgents Platform - Product Requirements Document (PRD)

📋 Executive Summary

Product Name: TradingAgents Platform
Version: 2.0
Document Version: 1.0
Last Updated: January 2025
Product Manager: TBD
Engineering Leads: TBD

Vision Statement

Transform TradingAgents from a CLI-based research tool into a comprehensive, cloud-native trading analysis platform with mobile-first user experience and intelligent automation.

Product Goals

Accessibility: Make professional-grade trading analysis accessible to retail investors
Automation: Provide 24/7 AI-powered market monitoring and alerts
Integration: Seamlessly connect with major brokerage platforms
Intelligence: Deliver personalized, context-aware trading insights
Scalability: Support thousands of concurrent users with sub-second response times

🎯 Target Users & Use Cases

Primary Users

Retail Investors: Individual traders seeking professional-level analysis
Portfolio Managers: Small fund managers needing comprehensive research tools
Financial Advisors: Professionals requiring client portfolio insights

Key Use Cases

Daily Portfolio Monitoring: Automated analysis of existing positions
New Investment Research: Multi-agent analysis of potential investments
Risk Management: Real-time risk assessment and alerts
Market Event Response: Immediate analysis of market-moving events
Strategy Backtesting: Historical performance validation of trading strategies

🖥️ SERVER DEVELOPMENT REQUIREMENTS

1. Core Infrastructure & Architecture

1.1 Cloud-Native Agent Infrastructure

Priority: 🔴 Critical
Timeline: Q1-Q2 2025
Effort: 8 weeks

Requirements:

Microservices Architecture
- Containerized agent services (Docker + Kubernetes)
- Service mesh for inter-service communication (Istio)
- API Gateway for request routing and rate limiting
- Auto-scaling based on demand (HPA/VPA)
Multi-Cloud Deployment
- Primary: AWS (EKS, Lambda, RDS, ElastiCache)
- Secondary: Azure (AKS, Functions, PostgreSQL)
- Disaster recovery and failover capabilities
- Global CDN for static assets
Message Queue System
- Apache Kafka for real-time event streaming
- Redis for task scheduling and session management
- Celery for distributed task execution
- Dead letter queues for failed processing

Technical Specifications:

class CloudAgentOrchestrator:
    def __init__(self):
        self.agent_registry = AgentRegistry()
        self.task_queue = KafkaProducer()
        self.scheduler = CeleryScheduler()
    
    async def execute_analysis(self, request: AnalysisRequest) -> AnalysisResult:
        # Orchestrate multi-agent analysis pipeline
        pass
    
    def schedule_recurring_analysis(self, user_id: str, schedule: str):
        # Schedule automated daily/weekly analysis
        pass

1.2 Enhanced Data Pipeline

Priority: 🔴 Critical
Timeline: Q1 2025
Effort: 6 weeks

Requirements:

Real-time Data Integration
- Alpha Vantage, Polygon.io, IEX Cloud APIs
- WebSocket connections for live market data
- Data normalization and validation layer
- Automatic failover between data providers
Time-Series Database
- InfluxDB for high-frequency market data
- PostgreSQL for user data and configurations
- Redis for caching frequently accessed data
- Data retention policies and archival
Data Quality Assurance
- Automated data validation pipelines
- Outlier detection and correction
- Data source reliability scoring
- Missing data interpolation strategies

2. Portfolio Management System

2.1 User Portfolio Backend

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 10 weeks

Requirements:

Position Management API

class PortfolioAPI:
    @app.post("/portfolio/positions")
    async def add_position(position: UserPosition) -> PositionResponse:
        pass

    @app.get("/portfolio/{user_id}/positions")
    async def get_positions(user_id: str) -> List[UserPosition]:
        pass

    @app.put("/portfolio/positions/{position_id}")
    async def update_position(position_id: str, updates: PositionUpdate):
        pass

Broker Integration Layer
- TD Ameritrade API integration
- Schwab API integration
- Fidelity API integration
- E*TRADE API integration
- Interactive Brokers API integration
- OAuth 2.0 authentication flow
- Automatic position synchronization
- Real-time balance updates
Portfolio Analytics Engine
- Real-time P&L calculations
- Risk metrics (VaR, Beta, Sharpe ratio)
- Correlation analysis with market indices
- Sector/geographic diversification scoring
- Performance attribution analysis

2.2 Trading History & Performance Tracking

Priority: 🟡 High
Timeline: Q2 2025
Effort: 6 weeks

Requirements:

Trade Execution Tracking
- Historical trade records with timestamps
- Entry/exit price tracking
- Commission and fee calculations
- Tax lot management (FIFO/LIFO)
Performance Analytics
- Time-weighted returns calculation
- Risk-adjusted performance metrics
- Benchmark comparison (S&P 500, sector indices)
- Drawdown analysis and recovery periods
- Win/loss ratio and average trade metrics

3. Advanced Technical Analysis Engine

3.1 Enhanced Market Analytics

Priority: 🔴 Critical
Timeline: Q1 2025
Effort: 8 weeks

Requirements:

Comprehensive Technical Indicators (50+ indicators)
- Momentum: RSI, Williams %R, ROC, CCI, Stochastic
- Trend: Ichimoku, MACD, ADX, Parabolic SAR
- Volume: OBV, Money Flow Index, A/D Line
- Volatility: Bollinger Bands, ATR, Keltner Channels
Multi-Timeframe Analysis
- 1min, 5min, 15min, 1hr, 4hr, daily, weekly
- Timeframe alignment scoring
- Cross-timeframe signal confirmation
- Adaptive timeframe selection based on volatility
Pattern Recognition Engine
- 50+ candlestick patterns
- Chart patterns (triangles, flags, channels)
- Support/resistance level detection
- Fibonacci retracement analysis
- Elliott Wave pattern recognition

3.2 Machine Learning Models

Priority: 🟡 High
Timeline: Q3 2025
Effort: 12 weeks

Requirements:

Predictive Models
- LSTM networks for price prediction
- Random Forest for feature importance
- SVM for market regime classification
- Ensemble methods for signal combination
Model Training Infrastructure
- MLOps pipeline for model deployment
- A/B testing framework for model comparison
- Feature store for consistent data access
- Model versioning and rollback capabilities

4. Celebrity Strategy Agents

4.1 Strategy Implementation

Priority: 🟡 Medium
Timeline: Q3 2025
Effort: 10 weeks

Requirements:

Warren Buffett Value Strategy

class BuffettStrategyAgent:
    def analyze(self, stock_data: StockData) -> StrategyResult:
        intrinsic_value = self.calculate_dcf_value(stock_data)
        quality_score = self.assess_company_quality(stock_data)
        moat_strength = self.evaluate_competitive_advantages(stock_data)
        return StrategyResult(
            recommendation=self.generate_recommendation(),
            confidence=self.calculate_confidence(),
            reasoning=self.explain_analysis()
        )

Cathie Wood Innovation Strategy
- Disruptive technology scoring
- TAM (Total Addressable Market) analysis
- Patent portfolio evaluation
- Technology adoption curve positioning
Ray Dalio Risk Parity Strategy
- Macroeconomic factor analysis
- Risk-weighted asset allocation
- Correlation-based diversification
- Economic cycle positioning

5. Notification & Alert System

5.1 Intelligent Notification Engine

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 8 weeks

Requirements:

Scheduled Analysis Pipeline
- Pre-market analysis (6 AM ET)
- Midday position updates (12 PM ET)
- After-hours summary (6 PM ET)
- Weekend portfolio review (Sunday)
Event-Driven Alerts
- Earnings announcement impacts
- News sentiment analysis
- Price target breaches
- Volatility spike detection
- Sector rotation opportunities
Multi-Channel Delivery
- Push notifications via Firebase
- Email templates with rich formatting
- SMS alerts for critical events
- Webhook integrations for third-party services

5.2 Personalization Engine

Priority: 🟡 High
Timeline: Q2 2025
Effort: 6 weeks

Requirements:

User Behavior Analysis
- Trading pattern recognition
- Risk tolerance profiling
- Sector preference learning
- Optimal notification timing
- Communication channel preferences
Adaptive Recommendations
- Machine learning-based personalization
- Historical performance correlation
- Market condition adaptability
- Goal-based strategy alignment

6. API & Integration Layer

6.1 RESTful API Design

Priority: 🔴 Critical
Timeline: Q1 2025
Effort: 6 weeks

Requirements:

Core API Endpoints

# Authentication
POST /auth/login
POST /auth/register
POST /auth/refresh

# Analysis
POST /analysis/stock/{ticker}
GET /analysis/{analysis_id}/status
GET /analysis/{analysis_id}/results

# Portfolio
GET /portfolio/{user_id}
POST /portfolio/positions
PUT /portfolio/positions/{position_id}
DELETE /portfolio/positions/{position_id}

# Notifications
GET /notifications/{user_id}
POST /notifications/subscribe
PUT /notifications/preferences

API Security & Performance
- JWT-based authentication
- Rate limiting (100 requests/minute per user)
- Request/response caching
- API versioning strategy
- Comprehensive error handling

6.2 Webhook & Real-time Updates

Priority: 🟡 Medium
Timeline: Q2 2025
Effort: 4 weeks

Requirements:

WebSocket Connections
- Real-time analysis progress updates
- Live portfolio value streaming
- Market event notifications
- Chat support integration
Webhook Integration
- Third-party service notifications
- Trading platform integrations
- Custom alert routing
- Retry logic and failure handling

📱 MOBILE DEVELOPMENT REQUIREMENTS

1. Core Mobile Application

1.1 Native iOS/Android Apps

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 16 weeks
Platform: React Native (Cross-platform)

Requirements:

Authentication & Onboarding
- Secure login with biometric authentication
- OAuth integration with brokers
- User profile setup wizard
- Risk tolerance questionnaire
- Portfolio import flow

Main Navigation Structure

TabBar Navigation:
├── Portfolio (Default)
├── Analysis
├── Notifications
├── Watchlist
└── Profile

1.2 Portfolio Dashboard

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 8 weeks

Requirements:

Real-time Portfolio Overview
- Total portfolio value with P&L
- Daily/weekly/monthly performance charts
- Top gainers/losers list
- Sector allocation pie chart
- Risk exposure metrics
Position Details
- Individual position cards with key metrics
- Drag-to-refresh for real-time updates
- Swipe actions for quick analysis
- Position-specific news and alerts
- Exit strategy recommendations
Interactive Charts
- Multi-timeframe price charts
- Technical indicator overlays
- Pinch-to-zoom and pan gestures
- Volume bars and moving averages
- Candlestick and line chart modes

1.3 One-Tap Analysis Interface

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 6 weeks

Requirements:

Quick Analysis Flow

struct AnalysisView: View {
    @State private var analysisProgress: Double = 0.0
    @State private var currentAgent: String = ""

    var body: some View {
        VStack {
            ProgressView(value: analysisProgress)
                .progressViewStyle(LinearProgressViewStyle())

            Text("Analyzing with \(currentAgent)...")
                .font(.caption)

            // Real-time agent status updates
            AgentStatusList(agents: analysisAgents)
        }
    }
}

Results Presentation
- Executive summary card
- Agent-by-agent breakdown
- Risk assessment visualization
- Recommendation confidence scoring
- Actionable next steps

2. Broker Integration

2.1 Account Linking

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 10 weeks

Requirements:

Supported Brokers
- Charles Schwab (OAuth integration)
- TD Ameritrade (API v2)
- Fidelity (Web services)
- E*TRADE (API v1)
- Interactive Brokers (TWS API)
- Robinhood (Unofficial API)

Secure Authentication Flow

class BrokerAuthManager {
    func linkBrokerAccount(broker: BrokerType) async throws -> BrokerAccount {
        // OAuth 2.0 flow with broker
        // Secure credential storage in Keychain
        // Account verification and balance sync
    }

    func syncPortfolioData() async throws -> Portfolio {
        // Fetch positions, balances, and transaction history
        // Update local database with new data
        // Handle API rate limits and errors
    }
}

Data Synchronization
- Automatic daily portfolio sync
- Real-time balance updates
- Transaction history import
- Cost basis calculations
- Dividend and corporate action tracking

2.2 Position Management

Priority: 🟡 High
Timeline: Q2 2025
Effort: 6 weeks

Requirements:

Manual Position Entry
- Quick add position form
- Barcode scanning for stock lookup
- Bulk import via CSV/Excel
- Photo import of brokerage statements
Position Editing & Tracking
- Lot-by-lot editing capabilities
- Tax optimization suggestions
- Performance tracking by acquisition date
- Alert setup for price targets

3. Push Notifications & Alerts

3.1 Intelligent Notification System

Priority: 🔴 Critical
Timeline: Q2 2025
Effort: 6 weeks

Requirements:

Notification Types
- Daily Briefings: Morning market outlook
- Position Alerts: Significant price movements
- Risk Warnings: Portfolio risk threshold breaches
- Opportunity Alerts: New investment suggestions
- Market Events: Earnings, news, economic data

Personalized Delivery

class NotificationManager {
    func schedulePersonalizedNotifications(for user: User) {
        // Morning briefing at user's preferred time
        scheduleMorningBriefing(time: user.preferences.morningTime)

        // Position alerts based on volatility tolerance
        setupPositionAlerts(threshold: user.riskTolerance)

        // Market event notifications for user's holdings
        subscribeToMarketEvents(portfolio: user.portfolio)
    }
}

3.2 In-App Notification Center

Priority: 🟡 Medium
Timeline: Q2 2025
Effort: 4 weeks

Requirements:

Notification History
- Chronological list of all notifications
- Category filtering (alerts, briefings, news)
- Search functionality
- Read/unread status tracking
Notification Actions
- Quick actions from notification
- Deep linking to relevant screens
- Snooze and reminder options
- Sharing capabilities

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

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.

21 KiB Raw Blame History

TradingAgents Platform - Product Requirements Document (PRD)

📋 Executive Summary

Vision Statement

Product Goals

🎯 Target Users & Use Cases

Primary Users

Key Use Cases

🖥️ SERVER DEVELOPMENT REQUIREMENTS

1. Core Infrastructure & Architecture

1.1 Cloud-Native Agent Infrastructure

Requirements:

Technical Specifications:

1.2 Enhanced Data Pipeline

Requirements:

2. Portfolio Management System

2.1 User Portfolio Backend

Requirements:

2.2 Trading History & Performance Tracking

Requirements:

3. Advanced Technical Analysis Engine

3.1 Enhanced Market Analytics

Requirements:

3.2 Machine Learning Models

Requirements:

4. Celebrity Strategy Agents

4.1 Strategy Implementation

Requirements:

5. Notification & Alert System

5.1 Intelligent Notification Engine

Requirements:

5.2 Personalization Engine

Requirements:

6. API & Integration Layer

6.1 RESTful API Design

Requirements:

6.2 Webhook & Real-time Updates

Requirements:

📱 MOBILE DEVELOPMENT REQUIREMENTS

1. Core Mobile Application

1.1 Native iOS/Android Apps

Requirements:

1.2 Portfolio Dashboard

Requirements:

1.3 One-Tap Analysis Interface

Requirements:

2. Broker Integration

2.1 Account Linking

Requirements:

2.2 Position Management

Requirements:

3. Push Notifications & Alerts

3.1 Intelligent Notification System

Requirements:

3.2 In-App Notification Center

Requirements:

4. Advanced Mobile Features

4.1 Offline Capabilities

Requirements:

4.2 Widget & Watch Extensions

Requirements:

4.3 Advanced UI/UX Features

Requirements:

🚀 DEVELOPMENT ROADMAP

Phase 1: Foundation (Q1 2025)

Server Development:

Mobile Development:

Phase 2: Core Features (Q2 2025)

Server Development:

Mobile Development:

Phase 3: Advanced Features (Q3 2025)

Server Development:

Mobile Development:

Phase 4: Scale & Polish (Q4 2025)

Server Development:

Mobile Development:

📊 SUCCESS METRICS & KPIs

User Engagement Metrics

Technical Performance Metrics

Business Metrics

21 KiB

Raw Blame History