Volatility & R-Multiple Metrics

These metrics normalize trade results relative to risk, making strategies comparable regardless of dollar amounts or instrument prices.

R-Multiple Metrics (Van Tharp)

R-multiples express every trade as a multiple of risk (1R = the average loss per trade). This system, developed by Dr. Van Tharp, separates strategy quality from position sizing.

MetricFormulaUnit
1RAverage absolute loss (base risk unit)$
R-ExpectancyMean of (P&L / 1R) across all tradesR
RM StdDevStandard deviation of R-multiplesR
SQN-SO(R-Expectancy / RM StdDev) × √(Total Trades)score
TS Index SO(Net Profit × Profit Factor) / Max DDindex
Dollar Expectancy(WR × Avg Win) - ((1-WR) ×Avg Loss

Key Metrics Explained

1R (One R)

Your base risk unit — the average dollar loss per losing trade. All R-multiples are expressed relative to this. If 1R = $500, then a 3R win means you made $1,500.

R-Expectancy

The average R-multiple per trade. An R-Expectancy of 0.35 means you earn 0.35R per trade on average.

R-ExpectancyTier
≥ 0.5RExcellent
≥ 0.3RGood
≥ 0.15RCaution
< 0.15RFailed

SQN (System Quality Number)

The definitive measure of system quality, accounting for expectancy, consistency, and sample size:

SQN = (R-Expectancy / R-Multiple StdDev) × √(Total Trades)

SQNVan Tharp RatingTier
≥ 5.0SuperbExcellent
≥ 3.0ExcellentGood
≥ 2.0AverageCaution
< 2.0PoorFailed

ATR-Normalized Metrics

ATR (Average True Range) normalization makes metrics comparable across instruments with different price levels.

MetricFormulaUnit
ATRAverage of all ATR values at trade entrypts
Avg Trade NormalizedMean of (P&L Points / ATR Points) per tradeATR
Max DD ATRMax Drawdown in Points / ATRATR

Info

ATR-normalized metrics require ATR data in your import file. If not provided, these metrics show as N/A.

Avg Trade Normalized

Your average trade P&L expressed as a multiple of ATR. A value of 1.5 means your average trade captures 1.5x the instrument's daily range — an efficient use of volatility.

Max DD ATR

Maximum drawdown expressed in ATR units. Useful for comparing drawdown severity across instruments.

Tip

R-Expectancy and SQN feed directly into your Confidence Score — improving these metrics is the fastest way to improve your overall CSI.

Tip

Ready to analyze your own strategy? Start your free trial — no credit card required.