๐Ÿ“Š Portfolio-level dashboard. This is Monte Carlo Survival โ€” it applies to HAL's whole book or universe-wide context, not to a single ticker. If you reached this page from a HAL 9000 memo expecting per-ticker drill-in, use one of the other dashboards (Factor Lens, Risk, Portfolio, News, Sector, Correlation, Attribution, Universe Research, Trade Idea) instead.
๐Ÿ“Š Reports โ€บ Monte Carlo Simulation

๐ŸŽฒ Monte Carlo Simulation

๐Ÿงช Practice Labs ๐Ÿ“š Manual Library ๐Ÿ“‚ Document Library ๐ŸŽฌ Video Library ๐ŸŽ›๏ธ Command โ† Reports Hub ๐ŸŽฏ Portfolio ๐Ÿ›‘ Risk ๐Ÿ” Research ๐Ÿงฎ Factors โช Backtest ๐ŸŒ Regime ๐ŸŽฒ Monte Carlo ๐Ÿ“ˆ Attribution ๐Ÿ›๏ธ Sectors ๐Ÿ“ LP Letter ๐ŸŽ›๏ธ Mission Control ๐Ÿ’ก Trade Idea ๐Ÿ”ด HAL ๐Ÿ“– Manual
๐ŸŽฏ Run a single stock: Simulates the stock's 1-year daily returns.
Pick source & click Run.
CSV upload
๐Ÿ“‚
Drop CSV file here, or click to browse
First numeric column is treated as returns. Header rows auto-skipped. Decimals (e.g., 0.012 = 1.2%) or percent format ("1.2%") both supported.
Paste returns
Decimals (0.012 = 1.2%) or percent format ("1.2%"). Min 5 returns required.

๐Ÿ“ˆ Fan Chart โ€” Percentile Envelope

Each line is a percentile of equity across all simulated paths at each bar. The 5thโ€“95th percentile band shows the 90% confidence envelope of where your account could end up. Median (P50) is the centerline.

๐Ÿ“Š Final Value Distribution

Histogram of where each simulated path ended at the horizon. Tall bars = many paths landed there. Right tail = lucky outcomes; left tail = bad outcomes. The vertical line marks the starting value โ€” paths to the left of it are losses.

๐Ÿ“‰ Max Drawdown Distribution

Histogram of the worst peak-to-trough drop each simulated path experienced. The further left, the worse the path's drawdown. Most retail traders quit during -20% drawdowns โ€” institutional traders survive them.

๐ŸŽฏ Drawdown Threshold Probabilities

"Across all simulated paths, what fraction of them experienced at least an X% drawdown at some point along the way?" These are not "the probability of ending at -X%" โ€” they are the probability of having to live through a -X% drawdown.

๐Ÿ“‹ Input Return Statistics

Statistics of the historical returns used as the resampling pool. Bootstrap MC preserves the full empirical distribution โ€” including fat tails and skew โ€” but assumes returns are i.i.d. (no autocorrelation, no regime persistence).