Metrics

Sharpe Ratio

A risk-adjusted return metric that measures excess return per unit of total volatility.

Formula

Sharpe Ratio = (Mean Daily P&L − Risk-Free Rate) / Std Dev of Daily P&L

More Details

What is the Sharpe Ratio?

The Sharpe Ratio, developed by Nobel laureate William Sharpe in 1966, is arguably the most widely used risk-adjusted performance metric in finance. It answers a simple but critical question: how much return are you getting for the risk you're taking?

A high return means nothing if you had to ride a terrifying roller-coaster of drawdowns to get there. The Sharpe Ratio puts both sides of the equation — return and volatility — into a single number.

Formula

Sharpe Ratio = (Mean Daily P&L − Risk-Free Rate) / Standard Deviation of Daily P&L

Where:
- Mean Daily P&L = your average P&L per trading day
- Risk-Free Rate = the return you could earn with zero risk (e.g., Treasury bills, typically ~0 for daily calculations)
- Std Dev of Daily P&L = how much your daily returns fluctuate

Because the risk-free rate on a daily basis is negligibly small, TradesViz simplifies this to:

Sharpe ≈ Mean Daily P&L / Std Dev of Daily P&L

Interpretation

Sharpe Ratio Meaning
< 0 Losing money on average — you'd be better off in cash
0 – 0.5 Marginal — risk is not being well-compensated
0.5 – 1.0 Acceptable — decent risk-adjusted returns
1.0 – 2.0 Good — strong returns relative to volatility
2.0 – 3.0 Excellent — very efficient edge
> 3.0 Outstanding — but verify sample size and regime

A Practical Example

Trader A makes $500/day on average with $800 daily standard deviation:
- Sharpe = 500 / 800 = 0.63

Trader B makes $200/day on average with $120 daily standard deviation:
- Sharpe = 200 / 120 = 1.67

Trader B earns less in absolute terms but is far more consistent. If both traders sized up proportionally, Trader B's system would scale better and survive black-swan days.

Limitations to Keep in Mind

  1. Assumes symmetric risk: The Sharpe Ratio penalizes upside volatility equally to downside volatility. A huge winning day actually hurts your Sharpe. If your returns are positively skewed, consider the Sortino Ratio instead.
  2. Sensitive to sample size: With fewer than 30 trading days, the standard deviation estimate is unreliable.
  3. Time-period dependent: A strategy can have a great Sharpe in a trending market and a terrible one in a choppy regime.
  4. Doesn't capture tail risk: Two strategies with identical Sharpe ratios can have vastly different worst-case drawdowns.

How TradesViz Calculates It

TradesViz computes your Sharpe Ratio from your actual realized daily P&L — not from hypothetical returns or model outputs. Daily P&L is grouped by calendar date across all closed trades in the selected account and date range.

This means:
- Commissions and fees are included (if entered)
- Partial fills and multi-leg trades are properly aggregated
- Intraday and multi-day holds are both captured at the daily level

How TradesViz Does It Better

  • Per-account and multi-account: Compare Sharpe across separate strategies or brokers
  • Filter-aware: Apply tag, setup, or symbol filters and see the Sharpe for just that subset
  • Paired with Sortino and Calmar: View all three risk-adjusted ratios side by side for a complete picture
  • Rolling analysis: Track how your Sharpe evolves over time to spot strategy decay

Where to find it in TradesViz

Summary > Overall Statistics > Scores/Metrics tab shows the Sharpe Ratio for your account. It is also available as a custom dashboard widget under Misc Stats. Use global date and tag filters to compute the Sharpe for specific time periods or setups.

Example

A trader averaging $300/day with a $250 daily standard deviation has a Sharpe Ratio of 1.2 — indicating good risk-adjusted performance.