Win Rate
The percentage of trades that close at a profit — a key performance metric that only tells the full story when read alongside average trade size and expectancy.
Definition
Win rate (also called hit rate or accuracy) is the proportion of completed trades that result in a net profit, expressed as a percentage. It is calculated by dividing the number of winning trades by the total number of closed trades and multiplying by 100. Win rate is one of the most cited statistics in trading journals and strategy reports, but it is frequently misunderstood: a high win rate does not guarantee profitability. To assess whether a strategy genuinely makes money, win rate must be combined with expectancy — which factors in how much is won and lost per trade. See also risk-reward ratio for the complementary size dimension.
Why it matters
In Indian F&O markets, different strategy archetypes naturally produce very different win rates. Short premium strategies — selling Nifty straddles or strangles around weekly expiries — can achieve win rates of 70–80% because most expiries end with time decay eroding the premium to the writer's benefit. However, those same strategies carry the risk of large losses on event-driven moves (RBI policy surprises, global risk-off), meaning the few losing trades can be several times larger than the many winners. A trader focused only on win rate may feel falsely confident right up until an outsized loss wipes out months of steady gains.
Conversely, trend-following strategies on futures — riding a breakout in Bank Nifty, for example — may win only 35–45% of the time, yet still be highly profitable because the winning trades are allowed to run far longer than the losing trades. Understanding your strategy's natural win rate helps you calibrate psychological expectations: a low-win-rate approach will feel uncomfortable for long stretches even when performing exactly as designed, and abandoning it prematurely is one of the most common trader errors.
Formula
Win Rate = (Number of Winning Trades ÷ Total Closed Trades) × 100. For example, if a strategy records 60 winning trades out of 100 total closed trades, the win rate is 60%. The complementary statistic — loss rate — is simply 100% minus the win rate, or 40% in this case. To determine whether the strategy is profitable, multiply the win rate by the average winner size and subtract the product of the loss rate and the average loser size; this yields the per-trade expectancy. A positive expectancy confirms the strategy has an edge regardless of whether the win rate itself is high or low.
Example
Suppose a trader runs an intraday momentum strategy on Nifty futures over one month and records 80 closed trades: 44 winners and 36 losers, giving a win rate of 55%. The average winning trade returns Rs 1,200 and the average losing trade costs Rs 900. Expectancy per trade = (0.55 × Rs 1,200) − (0.45 × Rs 900) = Rs 660 − Rs 405 = Rs 255. The strategy is profitable despite a win rate only slightly above 50%, because the average winner meaningfully exceeds the average loser. Had the trader seen only the 55% win rate figure, they might have dismissed the strategy as marginal — demonstrating why win rate should never be evaluated in isolation.
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