Portfolio Analytics: Institutional-Grade Tracking
Sharpe ratio, max drawdown, expectancy, win rate, P&L attribution, trade journal, paper vs. live comparison, and AI-powered rebalancing suggestions.
Portfolio Analytics: Institutional-Grade Tracking
Same performance metrics institutional traders use. Not just P&L - risk-adjusted returns, drawdown analysis, and statistical edge measurement.
Key Metrics
- Real-Time P&L: Live unrealized + realized, daily/weekly/monthly/all-time views
- Sharpe Ratio: Return per unit of risk (>1.0 good, >2.0 excellent)
- Sortino Ratio: Downside-only volatility adjustment
- Max Drawdown: Worst peak-to-trough decline with duration analysis
- Win Rate & Expectancy: Statistical edge per trade
- Profit Factor: Gross profit / gross loss (>1.5 strong)
- Average R-Multiple: Return as multiple of risk taken
Asset Allocation
By asset, sector (DeFi/L1/L2/Meme), risk tier. Concentration warnings when single asset exceeds 30%.
Trade Journal
Every trade auto-logged: entry/exit prices, timestamps, position size, leverage, SL/TP levels, R-multiple achieved, analysis source, personal notes.
Paper vs. Live Comparison
Identical analytics for both modes. Identify behavioral drift when transitioning to live.
AI Rebalancing
Overexposure warnings, sector rotation suggestions, risk reduction recommendations during volatile regimes, opportunity identification.
Export
CSV export, tax-ready reports, performance snapshots, shareable links.
How It Helps You
Most traders have no idea what their actual edge is. Portfolio Analytics reveals your true Sharpe ratio, expectancy, and drawdown profile - the numbers that determine whether you survive long-term.