Calculators Risk Management Trading Expectancy Calculator
📊 Risk Management

Trading Expectancy Calculator

Evaluate whether a trading strategy is profitable over the long term using win rate, average profit, and average loss.
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Trading Expectancy Calculator

Find out if your strategy makes money in the long run — even before you place a single real trade.

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₹
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Expectancy per Trade (₹)
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Monthly Expectancy (₹)
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Annual Expectancy (₹)
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Effective R:R
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Profit Factor
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Break-even Win Rate
Expectancy breakdown
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Understanding Trading Expectancy

Expectancy tells you the average amount you make or lose per trade over a large sample. It is the single best measure of whether a strategy has edge.

Expectancy = (Win Rate × Avg Win) − (Loss Rate × Avg Loss)
Profit Factor = (Win Rate × Avg Win) ÷ (Loss Rate × Avg Loss)

A positive expectancy means the strategy makes money long term. Profit Factor above 1.5 is good. Above 2.0 is excellent. Below 1.0 means you are losing money systematically.

Key insight: You can have a 35% win rate and still be profitable if your average win is large enough. This is why position sizing and letting winners run matters more than being right most of the time.

About This Calculator

Trading Expectancy is the single number that tells you whether your trading strategy makes money over the long term. It calculates the average rupee amount you expect to win or lose per trade based on your historical win rate, average winning trade size, and average losing trade size. Positive expectancy means the strategy has mathematical edge. Negative expectancy means it will lose money regardless of how good any individual trade looks. Most retail traders on NSE evaluate their strategy by looking at recent trades — celebrating winning streaks and panicking during losing streaks. This is the wrong approach. A strategy with positive expectancy will have losing periods (drawdowns) even when it is working correctly. Trading expectancy provides the mathematical framework to evaluate a strategy objectively over hundreds of trades. Professional traders and fund managers use expectancy alongside Profit Factor to decide which strategies to run, which to discard, and how to allocate capital across multiple strategies. Before going live with any NSE strategy, calculate its expectancy from at least 50 historical trades in the Momentum IQ backtester.

Formula

Expectancy = (Win Rate × Average Win) − (Loss Rate × Average Loss) Profit Factor = (Win Rate × Average Win) ÷ (Loss Rate × Average Loss) Loss Rate = 1 − Win Rate Monthly Expectancy = Expectancy per Trade × Trades per Month

Worked Example

A swing trader has the following statistics from 100 backtested NSE trades: Win rate: 45% | Average win: ₹3,200 | Average loss: ₹1,100 | Trades per month: 15 Expectancy = (0.45 × 3,200) − (0.55 × 1,100) = 1,440 − 605 = ₹835 per trade Monthly expectancy = ₹835 × 15 = ₹12,525 per month Annual expectancy = ₹12,525 × 12 = ₹1,50,300 per year Profit Factor = (0.45 × 3,200) ÷ (0.55 × 1,100) = 1,440 ÷ 605 = 2.38 — excellent.

Frequently Asked Questions

Any positive expectancy means the strategy makes money. A Profit Factor above 1.5 is good, above 2.0 is excellent. Most retail traders have negative expectancy because they let losses run and cut winners short — doing the exact opposite of what builds positive expectancy.
A minimum of 50 trades, ideally 100+. With fewer trades, results are heavily influenced by luck. The Momentum IQ backtester provides expectancy calculations across thousands of historical NSE data points for reliable statistical significance.
Yes — professional traders often have win rates of 35–45%. What matters is that average wins are significantly larger than average losses. A 35% win rate with average win ₹5,000 and average loss ₹1,000 has expectancy of +₹1,100 per trade — highly profitable.
Profit Factor is the ratio of gross profit to gross loss. A PF of 2.0 means you make ₹2 for every ₹1 you lose. Expectancy is the absolute rupee amount per trade. Both measure the same thing from different angles — use both for a complete picture.

Backtest strategies on real NSE data

Apply your calculated position size to any of 443 pre-built NSE strategies.

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SEBI Compliance Disclaimer

MomentumIQ is an educational platform for strategy research and backtesting. We do not provide investment advice, recommendations, or tips. All backtest results are hypothetical, based on historical data, and for educational purposes only. Past performance is not indicative of future results. Backtested results may not account for brokerage, slippage, taxes, or other real-world costs. Please consult a SEBI-registered investment advisor before making any investment decisions.