[Future][Feature] Portfolio Management Suite - Multi-asset Coordination #329

Problem

Need comprehensive portfolio-level management for multi-ticker automated trading with correlation analysis, position limits, and rebalancing logic.

Dependencies & Relationships

Priority: P2 - MEDIUM (Q2 2026+)
Consolidates:

• Portfolio-level Statistics: Correlation and Beta Calculations #162 (Portfolio-level Statistics: Correlation and Beta)
• Maximum position limits per sector #238 (Maximum position limits per sector)
• Portfolio heat mapping (correlation analysis) #239 (Portfolio heat mapping - correlation analysis)
• Add rebalancing logic for multi-ticker portfolios #249 (Rebalancing logic for multi-ticker portfolios)
• Portfolio Management and Multi-Asset Support #263 (Portfolio Management and Multi-Asset Support)

Depends on: #304 (Scanner Service - multi-ticker monitoring)
Integrates with: #306 (Position Management), VoterAgent
Enables: Multi-ticker automated trading deployment

Solution: Comprehensive Portfolio Management

Unified portfolio management system for coordinated multi-asset trading with risk controls and optimization.

Core Features

1. Portfolio-Level Statistics (#162)

• Correlation Matrix: Cross-ticker correlation analysis
• Beta Calculations: Portfolio beta vs SPY benchmark
• Portfolio Risk Metrics: Combined volatility, concentration risk
• Diversification Benefit: Quantify diversification effects
• High Water Mark Tracking: Peak portfolio value and drawdown analysis

2. Position Limits and Risk Controls (#238)

• Sector Concentration Limits: Maximum exposure per sector (e.g., max 40% tech)
• Position Size Limits: Maximum % of portfolio per ticker
• Total Exposure Caps: Overall portfolio leverage limits
• Cash Reserve Requirements: Minimum cash buffer for volatility
• Dynamic Limit Adjustment: Limits adapt to market volatility

3. Correlation Analysis and Heat Mapping (#239)

• Tech Stock Focus: AAPL, NVDA, GOOGL, MSFT, META, TSLA, AMZN
• Correlation Heat Maps: Visual correlation matrix across holdings
• Strategy Correlation: How VoterAgent performs across correlated assets
• Risk Concentration Alerts: Warn when portfolio too correlated
• Diversification Score: Measure portfolio diversification quality

4. Portfolio Rebalancing Logic (#249)

• Rebalancing Triggers:
  • Drift from target allocation > threshold (e.g., 5%)
  • Sector concentration exceeds limits
  • Portfolio risk metrics breach thresholds
• Rebalancing Methods:
  • Sell overweight positions to target
  • Buy underweight positions from proceeds
  • Tax-aware rebalancing (minimize short-term gains)
• Rebalancing Schedule: Weekly or threshold-based
• Transaction Cost Consideration: Balance rebalancing benefit vs costs

5. Multi-Asset Coordination (#263)

• Unified Position Tracking: All tickers in single portfolio view
• Aggregate P&L: Total portfolio performance calculation
• Cash Management: Available buying power across all positions
• Coordinated Entry/Exit: Avoid simultaneous large trades
• Portfolio-Level Stops: Circuit breakers for total portfolio drawdown

Implementation Components

PortfolioManager Class

class PortfolioManager:
    def __init__(self, max_positions=10, max_sector_pct=0.40):
        self.max_positions = max_positions
        self.max_sector_pct = max_sector_pct
        self.positions = {}
        
    def calculate_correlation_matrix(self):
        """Compute correlation across all holdings"""
        
    def check_sector_limits(self, symbol, sector, size):
        """Enforce sector concentration limits"""
        
    def calculate_portfolio_beta(self):
        """Portfolio beta vs SPY benchmark"""
        
    def suggest_rebalancing(self):
        """Identify rebalancing opportunities"""
        
    def calculate_diversification_score(self):
        """Quantify portfolio diversification"""

Integration with Current System

VoterAgent Integration:

• VoterAgent generates signals for multiple tickers
• PortfolioManager coordinates which signals to act on
• Position limits prevent over-concentration
• Rebalancing triggers selling winners to fund new opportunities

Scanner Service Integration (#304):

• Scanner identifies opportunities across ticker watchlist
• PortfolioManager determines if portfolio can add position
• Sector limits filter scanner recommendations

Position Manager Integration (#306):

• PositionManager tracks individual positions
• PortfolioManager aggregates across all positions
• Portfolio-level metrics fed back to risk decisions

Use Cases

Use Case 1: Multi-Ticker Tech Portfolio

• Watchlist: AAPL, NVDA, GOOGL, MSFT, META, TSLA, AMZN (7 stocks)
• Limits: Max 3 positions, max 40% per stock
• Strategy: VoterAgent signals across all 7, portfolio chooses best 3
• Rebalancing: Weekly review, sell losers/add winners within limits

Use Case 2: Sector Rotation

• Watchlist: Top stocks in Tech, Healthcare, Finance, Energy sectors
• Limits: Max 30% per sector, 5-7 total positions
• Strategy: Follow VoterAgent signals but maintain sector balance
• Rebalancing: Monthly sector reallocation based on market regime

Use Case 3: Core-Satellite Portfolio

• Core: 60% SPY (passive buy-and-hold)
• Satellite: 40% active trading with VoterAgent (3-5 positions)
• Limits: Satellite positions max 10% each
• Rebalancing: Quarterly core/satellite rebalance

Implementation Plan

Phase 1: Portfolio Statistics (Q2 2026)

• Correlation matrix calculation
• Beta calculation vs SPY
• Portfolio risk metrics (volatility, concentration)
• Basic reporting dashboard

Phase 2: Risk Controls (Q2 2026)

• Sector concentration limits enforcement
• Position size limits
• Cash reserve requirements
• Limit breach alerts

Phase 3: Advanced Features (Q3 2026)

• Correlation heat maps visualization
• Rebalancing recommendation engine
• Tax-aware trading optimization
• Multi-asset coordination logic

Implementation Priority

P2 - MEDIUM - Valuable for scaling beyond single-ticker trading

Timeline

• Q2 2026: After Scanner Service ([Future][Agent] Scanner Service Implementation - Multi-ticker Detection #304) operational
• Q3 2026: Advanced portfolio optimization features
• Dependencies: Multi-ticker Scanner, mature VoterAgent

Technology Requirements

• Python Libraries: pandas, numpy, scipy (for correlation/statistics)
• Visualization: matplotlib/plotly for heat maps
• Integration: Extend existing PositionManager
• Data: Historical returns for all tickers in watchlist

Success Criteria

• Enforce sector concentration limits automatically
• Correlation analysis accurate (validated against known correlations)
• Rebalancing recommendations actionable and cost-effective
• Portfolio beta calculation within 5% of benchmark
• Diversification score meaningful and interpretable

Files to Create

• src/portfolio/portfolio_manager.py - Main portfolio coordination
• src/portfolio/correlation_analyzer.py - Correlation and statistics
• src/portfolio/rebalancing_engine.py - Rebalancing logic
• src/portfolio/sector_limits.py - Sector exposure tracking
• tests/portfolio/test_portfolio_manager.py - Comprehensive tests

Documentation References

• Portfolio management best practices
• Modern Portfolio Theory (MPT) application
• Risk parity and correlation-adjusted sizing

This consolidated issue replaces #162, #238, #239, #249, and #263 with unified portfolio management specification.