How to Track Your Intraday Win Rate and Expectancy

Are you making money from intraday-strategy-beginners-first-month">day trading, or just staying busy? Most intraday traders in India have no idea whether their strategy actually works because they never measure it. If you do not know what volatility">day trading in India really costs you per trade, you are gambling — not trading.

Tracking your win rate and expectancy gives you hard numbers. No feelings. No guesses. Just math that tells you whether to keep going, adjust, or stop entirely.

Step 1: Record Every Single Trade

You cannot measure what you do not record. This is where most traders fail before they even start. They remember the big wins and forget the small losses. Memory lies. A spreadsheet does not.

What to Log for Each Trade

• Date and time of entry and exit
• Instrument — stock name, index, or futures contract
• Direction — long or short
• Entry price and exit price
• Quantity traded
• revenue/gross-profit-mcx-and-commodity-trading/trading-mcx-base-metals-limited-capital-risk-tips">margin">Gross profit or loss before charges
• Brokerage, STT, GST, and other charges
• Net profit or loss after all charges

Use a simple spreadsheet. Google Sheets works fine. Some brokers in India provide trade logs you can download as CSV files. But always verify the numbers yourself. Broker reports sometimes exclude certain charges or show gross numbers instead of net.

If you are not willing to log every trade, you are not serious about making money from day trading. Full stop.

How Many Trades Before the Numbers Mean Anything?

You need at least 50 trades to get a rough picture. Below that, randomness dominates. A hundred trades gives you a decent sample. Two hundred is where patterns become reliable. Do not make strategy changes based on 10 or 15 trades. That is noise, not signal.

Step 2: Calculate Your Win Rate

Your win rate is the simplest metric in trading. It tells you what percentage of your trades are profitable.

Win Rate = (Number of Winning Trades / Total Trades) x 100

If you took 80 trades last month and 44 were profitable, your win rate is 55 percent. That sounds decent. But here is the thing — win rate alone is almost useless.

Why a High Win Rate Can Still Lose Money

A trader with a 70 percent win rate can go broke. How? If their average win is 500 rupees but their average loss is 2,000 rupees, the math is brutal. Out of 100 trades, they win 70 times (earning 35,000 rupees) and lose 30 times (losing 60,000 rupees). Net result: minus 25,000 rupees despite winning most trades.

This is why you need the second metric — expectancy.

Step 3: Calculate Your Expectancy

Expectancy tells you how much you can expect to make (or lose) on every trade on average. This is the number that actually matters.

Expectancy = (Win Rate x Average Win) - (Loss Rate x Average Loss)

Here is a real example. Say your data shows:

• Win rate: 55 percent (loss rate is 45 percent)
• Average winning trade: 1,200 rupees
• Average losing trade: 800 rupees

Expectancy = (0.55 x 1,200) - (0.45 x 800) = 660 - 360 = 300 rupees per trade

A positive expectancy means your strategy makes money over time. A negative expectancy means it loses money no matter how many trades you take. The size of the number tells you how much edge you actually have.

FAQ: What Is a Good Expectancy for Day Trading?

Any positive number means your strategy has an edge. For intraday traders in India, an expectancy above 200 rupees per trade (after all charges including STT, brokerage, and GST) is solid. Professional traders aim for an expectancy that is at least 0.5 times their average risk per trade.

FAQ: Should I Focus on Win Rate or Expectancy?

Expectancy matters more. You can have a low win rate and still be very profitable if your winners are much larger than your losers. Trend-following strategies often win only 35-40 percent of the time but remain profitable because their average win is 3-4 times their average loss.

Step 4: Track the Numbers That Feed Your Edge

Once you have win rate and expectancy, dig deeper. These secondary metrics show you where to improve.

• Average risk-reward ratio: Divide your average win by your average loss. Anything above 1.5 is decent. Below 1.0 means your losers are bigger than your winners — a dangerous pattern.
• Largest winning trade: If one massive win is propping up your entire monthly profit, your edge is fragile. Remove your best trade and recalculate. Still positive? Good.
• Largest losing trade: This tells you about discipline. If your biggest loss is 5 times your average loss, you have a ma-buy-or-wait">stop-loss problem.
• Profit factor: Total gross profit divided by total gross loss. Above 1.5 is good. Above 2.0 is excellent. Below 1.0 means you are losing money.
• Consecutive losses: The maximum streak of back-to-back losses. This affects your psychology and position sizing. If your strategy can produce 8 losses in a row, your capital must survive that streak.

A Real-World Example

Consider a trader named Priya who trades nifty-and-sensex/use-nifty-index-derivatives-hedging-stock-portfolio">Nifty futures intraday. After logging 120 trades over three months, her numbers look like this:

• Wins: 54 out of 120 (win rate: 45 percent)
• Average win: 2,800 rupees
• Average loss: 1,400 rupees
• Expectancy: (0.45 x 2,800) - (0.55 x 1,400) = 1,260 - 770 = 490 rupees per trade
• Profit factor: 1.64

Priya loses more often than she wins. A 45 percent win rate feels bad day to day. But her average winner is twice her average loser. Her expectancy is strongly positive. Over 120 trades, she made roughly 58,800 rupees net. Her strategy works — the data proves it.

Without tracking, Priya might have quit after a string of 6 losses. The numbers gave her the confidence to keep going.

Common Mistakes to Avoid

• Ignoring charges. Indian day trading charges — STT, brokerage, exchange fees, GST, and SEBI etfs-and-index-funds/etf-brokerage-stt-calculation">turnover fees — add up fast. Always calculate expectancy on net numbers, not gross.
• Cherry-picking data. Include every trade. The breakeven ones, the embarrassing ones, the ones you closed early out of panic. Selective data gives you false confidence.
• Changing strategies mid-sample. If you switch setups after 30 trades, you now have two incomplete datasets instead of one useful one. Commit to at least 50 trades before evaluating.
• Confusing a hot streak with an edge. Even random coin flips produce streaks. Your strategy has a real edge only if expectancy stays positive over 100 or more trades.

Track your trades. Calculate the numbers. Let the math tell you the truth your ego will not. That is how real traders operate.