# Dashboard User Guide The Quantum Hybrid Portfolio Dashboard is a React application for portfolio optimization, backtesting, risk analysis, and scenario testing. ## Data Modes - **LIVE (API)** — Real market data from the backend. Select tickers, dates, and run optimization. - **SIM (Simulation)** — Synthetic market data from regime parameters. Ideal for experimentation. ## Tabs ### Holdings - **Portfolio Holdings** — Optimized weights and sector allocation - **Sector Breakdown** — Pie chart by GICS sector - **Trade Blotter** — Dollar amounts and share counts for execution - **Benchmark Weight Comparison** — QSW vs Equal Weight, Min Variance, Risk Parity, HRP ### Performance - **Backtest Panel** — Run historical backtest with tickers and dates - **Drawdown Chart** — Drawdown from peak - **Cumulative Performance** — Equity curve (backtest or simulated) - **Strategy Comparison** — QSW vs benchmarks (bar chart and table) ### Risk - **Correlation Heatmap** — Pairwise correlation between assets - **Efficient Frontier** — Risk-return frontier with current portfolio - **Value at Risk** — Daily VaR and CVaR at 95% confidence - **Sector Exposure** — Radar chart (portfolio vs equal-weight) - **Stress Test Scenarios** — Impact under 2008 GFC, COVID Crash, 2022 Rate Shock, Flash Crash ### Analysis - **What-If Weight Adjuster** — Sliders to tweak weights; see impact on metrics - **Regime Comparison** — Optimize under bull, bear, normal, volatile regimes ### Sensitivity - **Omega Sensitivity** — Sharpe vs omega - **Max Weight / Evolution Time Sensitivity** — How constraints affect Sharpe - **Correlation Matrix** — Holdings correlation - **Omega Impact Breakdown** — Return, vol, positions at each omega **API mode:** "Run API Sensitivity Sweep" — Batch optimize across omega and max-weight. ### Scenarios - **Index & ETF Scenario Tester** — Define scenarios, run batch backtests, compare - **Load** — Apply a scenario to the main dashboard ## Left Panel Controls - **Quantum Parameters:** Omega, Evolution Time - **Market Regime:** Normal, Bull, Bear, Volatile - **Evolution Method:** Continuous, Discrete, Decoherent, Adiabatic, Variational - **Objective:** Max Sharpe, Min Variance, Risk Parity, HRP, Target Return - **Constraints:** Max Weight, Max Turnover, Universe Size - **Tickers & Dates:** Search/autocomplete, date range - **Simulation:** Random seed, reset, portfolio status ## Metric Cards Sharpe Ratio, Expected Return, Volatility, Active Positions, Daily VaR. Toggle Optimization vs Backtest when backtest is available. ## Informational Bubbles Hover over info icons next to labels, sections, and cards for short explanations. ## Header Actions - **Theme toggle** — Dark/light - **Export** — Download JSON (parameters, holdings, risk, backtest) - **DataSource badge** — SIM or LIVE --- *Last updated: 2026-02*