How to Read a Trading Strategy's Stats: Sharpe, Win Rate, Max Drawdown, Uptime
Strategy listings compress months of trading into a handful of numbers. Read correctly, four of them — Sharpe ratio, win rate, maximum drawdown, and uptime — answer the practical question: what has following this strategy actually been like?
This guide explains each metric, what it hides, and how they work as a set.
Sharpe ratio — return per unit of turbulence
The Sharpe ratio divides a strategy's excess return by the volatility of those returns. In plain terms: how much did it earn per unit of rollercoaster?
- Two strategies with the same total return are not equal if one got there smoothly and the other through violent swings. Sharpe scores the smooth one higher.
- Rough reading scale: below ~1 means returns barely justify the turbulence; 1–2 is solid; above 2 is strong (and worth double-checking the measurement period).
What it hides: Sharpe treats upside and downside volatility the same, and a short measurement window can flatter it. Check the period it covers alongside the number.
Win rate — how often trades close green
Win rate is the percentage of closed trades that were profitable. It is the most intuitive metric and the most commonly misread one.
What it hides: the size of wins versus losses. A strategy winning 40% of trades is profitable if winners are three times the size of losers — many trend-following systems look exactly like this. Conversely, a 90% win rate with rare huge losses can lose money overall. Win rate describes the texture of a strategy (frequent small wins vs. rare large ones), not its quality by itself.
Maximum drawdown — the worst stretch
Max drawdown (Max DD) measures the deepest fall from a performance peak to the following trough, in percent. If a strategy's curve peaked, then declined 14% before recovering, Max DD is −14%.
This is the metric most directly tied to the follower's experience: it is the loss you would have sat through had you joined at the worst moment. It answers "how bad has bad been?" — which matters because abandoning a strategy mid-drawdown is the classic way to turn a temporary decline into a realized loss.
What it hides: the past worst case is not a guaranteed ceiling. Treat Max DD as a floor for expectations, not a limit.
Uptime / live history — how long it has traded for real
Uptime measures how long the strategy has been running live. Its value is evidential: live results include real fees, real slippage, and real market stress — things a backtest simulates imperfectly at best.
A strategy with twelve months of live history has been tested by conditions no one chose. One with two weeks of history hasn't — whatever its backtest says (see What Is Backtesting and Why It Matters). Between two otherwise similar strategies, longer live history means more information.
Reading them together
Each metric covers another's blind spot:
| Question | Metric |
|---|---|
| Was the ride worth it? | Sharpe |
| What's the trade texture — steady small wins or rare big ones? | Win rate (with average win/loss) |
| How bad was the worst stretch? | Max DD |
| How much real-world evidence is there? | Uptime |
A practical reading order: uptime first (is there enough live evidence to trust anything else?), Max DD second (could I sit through that?), then Sharpe and win rate to understand character and quality.
One more principle: statistics should come from live-verified data, costs included — numbers a platform measures from actual account activity, not self-reported claims.
Where to practice
Strategy listings on the ONYX strategy market display exactly this set — Sharpe, win rate, Max DD, and uptime — measured from live trading, per strategy. Reading a few real listings against this guide is the fastest way to make the metrics second nature.
This article is for general information only and is not financial advice. Futures trading carries risk of principal loss and liquidation. Past results do not guarantee future performance.