Concept
Volatility-targeted Sizing
Volatility-targeted Sizing, also known as ATR-based shares/contracts, is a Risk, Sizing & Exits concept. The Library holds 4 implementations, each one a working definition you can pull into Quant.
Top Volatility-targeted Sizing indicators
4 total
What is Volatility-targeted Sizing?
Volatility-targeted sizing sets position size from a volatility estimate rather than a hand-placed stop. The per-trade version divides the risk budget by a multiple of ATR: units equal risk dollars divided by the ATR multiple times the value of one point. The portfolio version scales notional so each position contributes a chosen amount of estimated variance, with the weight commonly computed as target volatility divided by realized volatility. Either way the effect is the same: volatile instruments get fewer units, quiet ones get more, and different markets carry comparable expected movement.
The catch is that the estimates these rules run on look backward. When volatility jumps faster than the lookback updates, through news, gaps, or a regime break, the position sized for yesterday's range takes today's larger one, and the realized loss can exceed the budget. Volatility targeting standardizes an estimate of risk; it does not cap the outcome.
How traders use it
- Per trade: size as risk dollars divided by an ATR multiple and place the stop at that same multiple, so nearly every trade risks about one unit; the math is fixed fractional with volatility as the denominator.
- Per portfolio: scale each sleeve toward a common volatility target so a quiet rates future and a fast crypto pair contribute similar estimated variance, mechanically de-levering when measured volatility rises.
- For cross-market ranking: momentum baskets size positions by volatility so the ranking signal, not the loudest instrument, determines what drives the equity curve.
More Volatility-targeted Sizing implementations
Related concepts · Position sizing
Concept family
Risk, Sizing & Exits
37 concepts mapped · 19 in the Library
Volatility-targeted Sizing FAQ
How do you calculate ATR-based position size?
Pick the dollar risk for the trade, pick the ATR multiple that defines the stop distance, then divide: size equals risk dollars divided by the multiple times ATR times the instrument's per-point value. Example: $300 of risk with a stop at 2 x ATR of $1.50 gives 100 shares. Recompute every trade, because ATR changes constantly.
Does volatility targeting actually reduce risk?
It equalizes estimated risk across positions and through time, which is a budgeting improvement, not a ceiling on losses. Estimates lag reality: a gap or volatility spike hits the position sized for the old regime before any model can shrink it. Treat the target as a way to standardize exposure, and keep separate limits for scenarios the estimate cannot see coming.
Build Volatility-targeted Sizing your way.
Quant writes, tests, and refines it with you — then it runs on LuxAlgo charting or ports to TradingView.


