What Is a Good Sortino Ratio for Trading? (2025 Guide)

A good Sortino ratio for trading is typically 2.0 or higher for prop-firm-funded traders, and 1.5 or higher for retail traders seeking investor attention. The Sortino ratio measures return per unit of downside risk, isolating harmful volatility from total volatility to give a clearer picture of risk-adjusted performance than the Sharpe ratio.

• Sortino ratio above 2.0: excellent for prop firm evaluation and funding
• Sortino ratio 1.5-2.0: solid performance, shows consistent downside control
• Sortino ratio below 1.0: indicates poor risk management or high downside volatility
• Manual calculation requires tracking only negative return deviations (downside risk)
• MyVeridex calculates Sortino automatically from verified broker data in real time

What the Sortino Ratio Measures (and Why It Matters)

The Sortino ratio refines the Sharpe ratio by penalizing only downside volatility—losses—rather than all volatility. This distinction is critical for traders: upside volatility (large winning days) shouldn't count against you the way downside volatility (drawdown days) does.

The formula is straightforward:

Sortino Ratio = (Average Return - Risk-Free Rate) / Downside Deviation

Where downside deviation measures the standard deviation of returns below a target threshold (usually zero or a minimum acceptable return). By focusing exclusively on harmful volatility, the Sortino ratio reveals whether your edge comes with manageable downside risk or chaotic drawdowns.

Prop firms and professional investors increasingly prefer the Sortino ratio over the Sharpe ratio because it aligns better with real trading psychology: traders care about limiting losses, not limiting profits. A strategy with explosive upside and controlled downside will score poorly on Sharpe but excellently on Sortino—exactly the profile most traders want.

Benchmarks: What Defines a Good Sortino Ratio in 2025

The definition of a 'good Sortino ratio' varies by context—retail trading, prop firm evaluation, and institutional standards each have different thresholds.

Prop Firm Standards

Prop firms like FTMO and FundedNext evaluate traders on consistency and drawdown management. While few firms publish explicit Sortino ratio requirements, internal analysis shows that funded traders typically maintain Sortino ratios above 2.0 during evaluation phases. A ratio this high demonstrates that the trader generates at least two units of return for every unit of downside risk—a profile consistent with disciplined risk management and positive expectancy.

Traders with Sortino ratios between 1.5 and 2.0 still pass challenges, but they often require longer track records to prove consistency. Ratios below 1.0 signal erratic performance or poor stop-loss discipline, red flags that lead to quick account breaches.

Retail and Private Investor Expectations

For retail traders seeking private funding or building track records for investors, a Sortino ratio of 1.5 or higher is considered solid. This benchmark reflects the reality that retail traders face higher transaction costs, occasional slippage, and less favorable liquidity conditions than institutional desks.

Investors reviewing track records on platforms like MyVeridex or MyFxBook will compare your Sortino ratio against peers trading similar strategies. Day traders typically show lower Sortino ratios (1.2-1.8) due to frequent trades and tighter stops, while swing traders with wider stops and selective entries can achieve 2.0-3.0 when properly executed.

Institutional and Hedge Fund Benchmarks

Institutional money managers aim for Sortino ratios above 3.0, but they operate with leverage constraints, regulatory oversight, and capital allocation mandates that don't apply to retail traders. These benchmarks aren't directly comparable—chasing institutional-level Sortino ratios as a retail trader often leads to under-trading and missed opportunities.

How to Calculate Your Sortino Ratio (Step-by-Step)

Calculating the Sortino ratio manually requires isolating negative returns from your trade history. Here's the process:

1. Export your trade history: Pull statement data from your broker or connect your account to an analytics platform like MyVeridex.
2. Calculate daily returns: Compute the percentage return for each trading day (or period). For example, if your account grew from $10,000 to $10,150 in one day, the return is 1.5%.
3. Identify negative returns: Filter for days where the return was below your target threshold (typically zero). Positive or flat days are excluded from downside deviation.
4. Compute downside deviation: Calculate the standard deviation of only those negative returns. This is your denominator.
5. Calculate average excess return: Subtract the risk-free rate (usually assumed to be 0% for short-term trading) from your average return. This is your numerator.
6. Divide numerator by denominator: The result is your Sortino ratio.

Most retail traders don't perform this calculation manually—analytics platforms like MyVeridex compute the Sortino ratio automatically from verified broker data, updating it in real time as trades close. The platform connects via investor password (read-only access) to MT4, MT5, cTrader, DXTrade, Match-Trader, and TradeLocker, pulling live trade data and calculating 30+ performance metrics including Sortino ratio, max drawdown, profit factor, and win rate.

Why Sortino Ratio Beats Sharpe Ratio for Active Traders

The Sharpe ratio penalizes both upside and downside volatility equally, which creates perverse incentives for traders. A strategy that occasionally delivers explosive winning weeks will score poorly on Sharpe even if losses are tightly controlled. The Sortino ratio fixes this by isolating downside risk.

Consider two hypothetical traders with identical average monthly returns of 5%:

• Trader A: Returns range from -2% to +8%, with tight clustering and no dramatic swings. Sharpe ratio: 1.8. Sortino ratio: 2.2.
• Trader B: Returns range from -2% to +18%, with occasional big winners but identical downside. Sharpe ratio: 1.4. Sortino ratio: 2.9.

Trader B has superior downside-adjusted performance, but the Sharpe ratio penalizes the large upside moves. The Sortino ratio correctly identifies Trader B as the better risk manager. For prop firms evaluating traders for funded accounts, this distinction matters—firms want traders who can compound capital aggressively while avoiding catastrophic losses.

Common Mistakes That Destroy Your Sortino Ratio

Even skilled traders sabotage their Sortino ratios through avoidable mistakes. Here are the most common pitfalls:

Letting Losers Run

Failure to enforce stop losses inflates downside deviation dramatically. A single -10% day can drag your Sortino ratio below 1.0 even if you have 20 profitable days. Disciplined stop-loss execution is non-negotiable for maintaining a good Sortino ratio.

Revenge Trading After Losses

Emotional trading after a loss leads to oversized positions and reckless entries, compounding downside volatility. The best traders reduce position size or stop trading entirely after hitting daily loss limits. Tools like the position size calculator help maintain consistent risk per trade regardless of emotional state.

Ignoring Trade Correlation

Opening multiple correlated positions simultaneously (e.g., buying EUR/USD and selling USD/CHF) multiplies downside risk without proportional upside. Correlated losses hit simultaneously, spiking downside deviation. Diversifying across uncorrelated pairs or timeframes smooths downside volatility.

Over-Optimizing on Limited Data

Backtests with small sample sizes often produce artificially high Sortino ratios that collapse in live trading. A strategy tested on 50 trades might show a Sortino ratio of 3.5, but the first 100 live trades reveal it's closer to 1.2. Verified, long-duration track records solve this problem—platforms like MyVeridex provide tamper-proof performance data that investors and prop firms trust.

How to Improve Your Sortino Ratio (Actionable Strategies)

Improving your Sortino ratio requires reducing downside volatility without sacrificing upside potential. Here are five proven tactics:

1. Tighten Stop Losses on Low-Conviction Trades

Not all trades deserve equal risk. High-conviction setups (confluence of technical factors, strong trend, favorable fundamentals) can justify wider stops. Low-conviction trades—marginal setups taken out of boredom or FOMO—should have tight stops to minimize downside contribution. Review your trade journal and tag each trade by conviction level; if low-conviction trades show disproportionate losses, cut their stop distance by 30-50%.

2. Scale Out of Winners Strategically

Partial profit-taking locks in gains while allowing the remainder to run. For example, close 50% of a position at 2R (twice your initial risk), move your stop to breakeven, and let the remaining 50% target 4R. This approach smooths returns, reduces the impact of reversals, and stabilizes downside deviation by ensuring even 'losing' trades (those that reverse after hitting 2R) still bank profit.

3. Implement a Daily Loss Limit

Set a hard daily loss threshold (e.g., -2% of account equity) and stop trading when you hit it. This single rule prevents catastrophic drawdown days that crater your Sortino ratio. Track compliance using broker statements or analytics—MyVeridex flags rule violations automatically if you breach custom thresholds.

4. Diversify Across Timeframes or Assets

Trading a single currency pair on a single timeframe exposes you to idiosyncratic volatility. Adding uncorrelated timeframes (e.g., combining 1H and 4H setups) or uncorrelated assets (e.g., adding gold or indices to a pure forex portfolio) reduces downside clustering. Check correlation coefficients—pairs below 0.5 offer genuine diversification benefits.

5. Monitor and Adjust Position Sizing

Fixed-dollar risk per trade (e.g., always risking $100) leads to overleveraging during drawdowns and underleveraging during equity peaks. Use percentage-based position sizing (1-2% risk per trade) so that position sizes scale with account equity. The position size calculator automates this math, ensuring consistent risk across all market conditions.

Using MyVeridex to Track and Verify Your Sortino Ratio

Manual calculation of the Sortino ratio is tedious and error-prone, especially for active traders with dozens of trades per week. MyVeridex automates the entire process:

• Real-time calculation: Sortino ratio updates automatically as trades close, using verified broker data.
• 30+ performance metrics: View Sortino alongside Sharpe ratio, Calmar ratio, profit factor, max drawdown, win rate, and more.
• Multi-platform support: Connects to MT4, MT5, cTrader, DXTrade, Match-Trader, and TradeLocker via read-only investor password.
• Verified track records: Generate tamper-proof performance reports for prop firm applications or investor pitches.
• 498 supported brokers: Works with nearly all retail and prop-firm brokers. Check compatibility on the brokers page.

The 7-day free trial lets you connect your account, review your current Sortino ratio, and identify specific trades or periods dragging down your downside-adjusted performance. For traders serious about prop firm funding or raising capital, verified metrics are non-negotiable—self-reported performance doesn't cut it in 2025.

Sortino Ratio vs. Other Risk Metrics: When to Use Each

The Sortino ratio is powerful but not comprehensive. Here's how it compares to other popular metrics:

Sortino vs. Sharpe Ratio

Sharpe penalizes all volatility; Sortino penalizes only downside. Use Sortino for active trading strategies where upside volatility is desirable. Use Sharpe for passive strategies or buy-and-hold portfolios where any volatility (up or down) increases rebalancing costs or psychological discomfort.

Sortino vs. Calmar Ratio

Calmar ratio divides annualized return by maximum drawdown. It's simpler but less granular—maximum drawdown is a single worst-case figure, while Sortino ratio reflects ongoing downside volatility. Use Calmar for long-term strategy evaluation; use Sortino for month-to-month or week-to-week performance tracking.

Sortino vs. Profit Factor

Profit factor (gross profit / gross loss) measures raw profitability but ignores the distribution of losses. A strategy with profit factor 2.5 could have a terrible Sortino ratio if losses cluster into massive drawdown spikes. Use both metrics together: profit factor confirms edge, Sortino confirms that edge is delivered with manageable downside risk.

Real-World Sortino Ratio Targets by Trading Style

Different trading styles naturally produce different Sortino ratio ranges. Here's what to expect:

Scalping and High-Frequency Day Trading

Typical Sortino ratio: 1.0-1.5. High trade frequency and tight stops lead to frequent small losses, inflating downside deviation. Scalpers compensate with high win rates (60-70%) and favorable risk:reward on winners. A Sortino ratio above 1.5 for pure scalping is exceptional and often signals slippage advantages or superior execution infrastructure.

Swing Trading

Typical Sortino ratio: 1.8-2.5. Swing traders hold positions for days or weeks, allowing trends to develop and reducing the noise of intraday volatility. Wider stops and selective entries produce cleaner downside profiles. Traders who combine technical and fundamental analysis often achieve Sortino ratios above 2.0 by filtering out low-probability setups.

Trend Following

Typical Sortino ratio: 1.5-2.2. Trend followers endure extended drawdown periods during choppy markets, dragging down Sortino. However, explosive winning streaks during strong trends compensate. The key is surviving drawdown periods without violating risk rules—this is where daily loss limits and position sizing discipline become critical.

Algorithmic and EA Trading

Typical Sortino ratio: 1.8-3.0+. Well-designed EAs enforce risk rules perfectly, eliminating emotional trading and revenge trading. The best EAs maintain Sortino ratios above 2.5 by dynamically adjusting position size, filtering trades during high-spread periods, and halting during news events. Before deploying an EA live, verify backtest Sortino ratios with forward-tested data—over-optimized bots collapse in real market conditions.

How Prop Firms Use Sortino Ratio in Trader Evaluation

While prop firms like FTMO don't publish Sortino ratio thresholds explicitly, internal risk management teams use downside-focused metrics to identify traders likely to succeed in funded accounts. A consistently high Sortino ratio signals that a trader can generate returns without exposing the firm to catastrophic drawdown risk.

Firms increasingly request verified track records during advanced evaluation stages or for scaling allocations beyond initial funding. Platforms like MyVeridex provide the tamper-proof performance data firms need to assess Sortino ratio, drawdown patterns, and trade consistency. Traders who proactively build verified track records with strong Sortino ratios (2.0+) gain a competitive advantage in scaling negotiations and allocation increases.

For traders targeting prop firm challenges, focusing on Sortino ratio during the evaluation phase—by enforcing daily loss limits, scaling out of winners, and cutting losers aggressively—improves not only challenge pass rates but also long-term profitability in funded accounts.

Frequently Asked Questions