Sharpe ratio — risk-adjusted returns
Anna porównuje 2 strategie. Strategy A: 50% rocznie, 30% volatility. Strategy B: 30% rocznie, 10% volatility. Który lepszy? Sharpe A = 1.53, Sharpe B = 2.60. Strategy B lepszy mimo niższego return — risk-adjusted. Tu pokazujemy mechanikę.
Czym jest Sharpe ratio
Sharpe ratio = metric stworzony przez William Sharpe (Nobel Prize 1990). Mierzy risk-adjusted returns.
Formula:
Sharpe = (Return - Risk-free rate) / Standard deviation of returns
- Return: annualized %
- Risk-free rate: ~4% (US 10Y yield 2026)
- Standard deviation: monthly returns volatility, annualized
Highest Sharpe = best risk-adjusted strategy. Standardowy institutional metric.
Benchmarks
Real examples
Strategy A vs B example
Volatility kluczowa, nie absolute return. Sharpe rewards consistency.
Calculation methods
- Manual Excel: list monthly returns 12+ mies., calculate average i StDev, apply formula
- myfxbook: free, automatic, online. Connect MT5 account
- NinjaTrader Strategy Analyzer: built-in reporting
- TradeStation: pro tool, comprehensive metrics
Sample size matters: minimum 12 months data dla meaningful Sharpe. 24+ months ideal. Hedge funds use 36+ months track records.
Limitations
3 known limitations:
- Assumes normal distribution: returns often fat-tailed (extreme moves). Sharpe underestimates tail risk. Black swan events not captured.
- Penalizes upside volatility: 50% gain month treated same as 5% gain. Sortino ratio = better alternative (only penalizes downside).
- Risk-free rate dependency: 2020 Fed 0% vs 2024 Fed 5% — different baselines.
„Sharpe ratio = institutional standard. Top retail target > 1.5. Reports Sharpe + Sortino + Calmar dla complete picture. Single metric never tells full story."
Best practice
Multi-metric assessment standard:
- Sharpe ratio: overall risk-adjusted
- Sortino ratio: downside-focused
- Calmar ratio: return / max drawdown
- Profit factor: gross profit / gross loss
- Recovery factor: net profit / max drawdown
Combined view = comprehensive strategy assessment. Top retail review monthly.
Wnioski
Sharpe ratio = (return - rf rate) / volatility. Standard institutional metric. Benchmarks: top retail target > 1.5, hedge funds > 2.0, Renaissance 2.5+.
Anna case: Strategy A 50% return ale 30% vol = Sharpe 1.53. Strategy B 30% return + 10% vol = Sharpe 2.60. B lepszy mimo lower return.
Volatility kluczowa, nie absolute return. Reduce volatility (smaller positions, better risk mgmt) = improve Sharpe. Improve returns (better strategy) = improve Sharpe.
Limitations: normal distribution assumption, penalizes upside vol, risk-free rate dependency. Best practice: Sharpe + Sortino + Calmar combined.
Free tools: myfxbook (auto), Excel manual. 12+ months data minimum. Beginnerzy often Sharpe < 0.5 — improve volatility lub returns.
Powiązane: equity curve analiza, max drawdown, expectancy formula.
Źródła i bibliografia
-
William Sharpe Nobel Prize 1990 · creator en.wikipedia.org ↗
-
CFA Institute Sharpe ratio guide · institutional standard www.cfainstitute.org ↗
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myfxbook Auto Sharpe calculation · free tool www.myfxbook.com ↗
Najczęstsze pytania
Co to Sharpe ratio?
Sharpe ratio = metric stworzony przez William Sharpe (Nobel Prize 1990). Formula: (Return - Risk-free rate) / Standard deviation of returns. Mierzy risk-adjusted returns — ile profit per unit volatility. Standardowy institutional metric: hedge funds, mutual funds, ETFs reported. Highest Sharpe = best risk-adjusted strategy. Beats raw return: 50% return z 50% volatility = Sharpe 1.0. 30% return z 10% volatility = Sharpe 3.0 (lepsze, mniej risk). Strategy preference: minimize drawdowns, maximize consistent returns. Sharpe > 1.5 = top retail, > 2.0 = excellent, Renaissance Medallion 2.5+ all-time top.
Benchmarks?
Standard interpretation: < 0.5: bad, sub-par returns. 0.5-1.0: weak, average. 1.0-1.5: acceptable, decent. 1.5-2.0: good, top retail target. 2.0-2.5: excellent, hedge fund top tier. > 2.5: outstanding, very rare. Examples: S&P 500 long-term ~0.5-0.7. Average hedge fund ~0.8-1.0. Top hedge funds 1.5-2.0. Bridgewater Pure Alpha 0.7-1.0. Renaissance Medallion 2.5+ (extraordinary). Top retail traderzy (5+ yrs profitable) typically 1.5-2.5. Beginnerzy often Sharpe < 0.5 lub negative. Improve volatility (smaller positions) lub returns (better strategy) — both move Sharpe up.
Jak calculate?
Method 1 (manual Excel): (1) Lista monthly returns ostatnie 12 mies. (2) Average return. (3) Standard deviation returns. (4) Sharpe = (Avg - 0.04/12) / StDev × √12 (annualized). Risk-free rate ~4% annually 2026. Method 2 (auto myfxbook): connect MT5 account read-only, automatic Sharpe display. Free, easy. Method 3 (NinjaTrader): built-in Strategy Analyzer reports Sharpe. Sample size matters: minimum 12 months data dla meaningful Sharpe. Less = unreliable. 24+ months ideal. Pro hedge funds use 36+ months track records dla Sharpe assessment.
Limitations?
3 limitations: (1) Assumes normal distribution: returns często fat-tailed (extreme moves), Sharpe underestimates tail risk. Black swan events not captured. (2) Penalizes upside volatility: 50% gain w month i 5% gain treated equally w volatility calc. Sharpe nie distinguishes good vs bad volatility. Sortino ratio = better alternative (only penalizes downside volatility). (3) Risk-free rate dependency: 2020 Fed 0% = different baseline niż 2024 Fed 5%. Same strategy = different Sharpe across rate cycles. Best practice: report Sharpe + Sortino + Calmar (return/max DD) dla complete picture. Single metric never tells full story. Multi-metric assessment standard.