Rolling Variance Indicator Explained

Rolling Variance is standard deviation's raw form — the average squared distance of price from its mean over the window. Squaring makes it extra sensitive to outliers: one wild bar moves variance far more than it moves StdDev, which is exactly why quants often prefer it for regime detection.

How It Works

• Mean squared deviation from the rolling mean over N bars.
• Outlier bars dominate the value (no square root to soften them).
• The basis for variance-ratio tests and vol-of-vol measures.

How to Trade It

Use variance jumps as a shock detector (stand down after spikes), or build variance-ratio logic in the Indicators Lab — short-window variance vs long-window variance is a classic regime-change score. For stop distances, prefer its square root, StdDev.

Building It in Setup.Cash

Add Rolling Variance in the strategy builder — the length input controls its sensitivity — and use its value in any entry, exit, or filter condition. You can also combine it with other tools in the Indicators Lab or via the AI indicator generator. See Z-Score for the normalized application. For the full category overview, see the volatility & statistics library guide.

Volatility indicators qualify trades rather than generate them — backtest your system with and without this filter and compare the drawdowns.