Earnings Trading Strategy in Indian Markets

What Earnings Trading Actually Means in Indian Markets

Earnings trading is the practice of taking a position around the date a listed company reports its quarterly numbers. In India, every company on the NSE and BSE reports four times a year, and the results, together with management commentary and forward guidance, can trigger a sharp single-session move. The window that matters runs from a few days before the result, when option premiums fatten up, to the open of the next session after the company files results with the exchange. Most large-cap results in India are declared after market hours, so the real reaction shows up as an overnight gap the following morning rather than an intraday move on the result day itself.

The mistake in most generic guides is to treat earnings as a free lottery ticket where you buy three days early, ride a clean 5 to 7 percent pop, and sell. Real earnings moves are driven by surprise relative to expectations. A company can post 20 percent profit growth and still fall hard if the street expected 25 percent or if guidance disappoints. The market is a forward-looking machine, and by the time you read the headline number the price has often already adjusted. Your edge comes from understanding what is priced in, not from the result in isolation.

There is also a structural reason earnings trading is hard for option buyers. Ahead of a known event, market makers raise implied volatility so option prices are expensive. The moment the result is out, that uncertainty disappears and implied volatility collapses, a phenomenon traders call volatility crush. You can be right on direction and still lose money on a long option because the premium you paid was inflated for the event. This single dynamic explains why so many beginners lose on earnings even when they predict the move correctly.

A Real Infosys Earnings Move, Not an Invented One

Generic earnings guides love to say a stock like Infosys reliably moves 5 to 7 percent on results. That number is made up. Look at what actually happened. Infosys reported its Q4 FY24 results on 18 April 2024 after market hours. The headline profit was broadly in line, but the company guided FY25 constant-currency revenue growth to a soft 1 to 3 percent, well below what the street wanted. The next trading session, on 19 April 2024, the stock gapped down and fell roughly 4 percent intraday from its prior close near Rs 1,420, a meaningful move but nowhere near the tidy 7 percent that guides promise, and in the opposite direction a naive buyer might have expected from a large IT name.

Contrast that with Q1 FY25, reported on 18 July 2024, when Infosys raised its full-year revenue guidance and the stock rose only about 1.8 to 2 percent the following day, a muted reaction because a lot of the good news was already priced in after a strong run-up. Two consecutive Infosys results, two very different and fairly modest moves, one down and one up. The lesson is that the size and direction of an earnings gap are genuinely uncertain, and any strategy that assumes a fixed percentage move is built on sand. Always confirm the exact dates, the prior close and the actual gap on the NSE website or your broker terminal before you build a trade around them, because results dates shift and figures are revised.

Worked Example: A Defined-Risk Pre-Earnings Trade on Infosys

Suppose Infosys is trading at Rs 1,600 a few days before a results date and you believe the move will be smaller than the option market is pricing. Infosys options trade in a lot size of 400 shares per contract. Because you do not want to bet on direction and you do not want unlimited risk, you sell a defined-risk position rather than buy a naked option. One clean structure is an iron condor: sell an out-of-the-money call and an out-of-the-money put to collect rich pre-earnings premium, and buy further out-of-the-money options to cap the loss.

Say you sell the 1,660 call and the 1,540 put, and buy the 1,700 call and the 1,500 put as protection. Assume you collect a net credit of about Rs 35 per share after the volatility-inflated premiums. Across one lot of 400 shares, that is a gross credit of Rs 14,000 (35 multiplied by 400). The widest spread is Rs 40 (1,700 minus 1,660), so your maximum loss per share is 40 minus 35, which is Rs 5, or Rs 2,000 per lot before costs. If Infosys gaps the typical 2 to 4 percent we saw in the real examples above and stays between 1,540 and 1,660 by expiry, all four options can expire worthless and you keep most of the Rs 14,000 credit.

Now the part most guides skip: costs and tax. An iron condor is four legs, so you pay brokerage on roughly eight transactions across entry and exit. With a typical discount broker at Rs 20 per executed order, that is about Rs 160 in brokerage. On the sell legs you also pay STT on options at 0.1 percent of premium, plus exchange transaction charges, 18 percent GST on brokerage and exchange charges, SEBI turnover fees and stamp duty on the buy side. On a position this size those frictions can total a few hundred rupees, so a Rs 14,000 theoretical credit might net closer to Rs 13,200 to Rs 13,500 if the trade works. And because this is an F and O trade, the profit is taxed as business income at your slab rate, not at the 20 percent STCG or 12.5 percent LTCG equity rates. Build those costs in before you call a trade worthwhile.

Why Volatility Crush Decides Who Wins

The reason the seller in the example above has an edge is volatility crush. Ahead of results, the implied volatility on Infosys options can run far above its normal level because nobody knows the outcome. That uncertainty is pure premium that you, as a seller, collect. The instant results are out, the unknown becomes known and implied volatility falls back toward normal, often within minutes of the open. The option you sold loses value not just from time decay but from this collapse in implied volatility, which is exactly what a premium seller wants.

For an option buyer, the same crush is the enemy. If you buy a Rs 60 call before Infosys results hoping for a big pop, and the stock moves up a modest 2 percent while implied volatility halves, your call can be worth less than Rs 60 even though you were right on direction. This is the trap that converts a correct call into a losing trade. The only time long options pay off on earnings is when the actual move is much larger than the implied move the market priced, which is genuinely hard to predict consistently.

The Post-Earnings Drift, a More Patient Edge

Instead of guessing the gap, many disciplined traders wait for the result and then trade the post-earnings drift, the well-documented tendency of a stock to keep moving in the direction of a genuine surprise for days or even weeks. The idea is to let the market reveal its verdict first. If a stock gaps up strongly on a real beat and clear guidance raise, and then holds above its opening range, momentum traders ride the continuation. This avoids paying for inflated pre-event premium and removes the binary gamble of guessing the gap direction.

The drift is strongest when the surprise is large and the initial reaction is decisive, and it is weakest or absent when the move is ambiguous or already heavily anticipated. The Infosys Q1 FY25 example, where the stock rose only about 2 percent because the good news was largely priced in, is a case where there was little drift to capture. To trade the drift you wait for the next session to open, mark the opening range, and enter only when price confirms the direction with volume, placing a stop below the day's low for a long. It demands patience and a willingness to skip results where the reaction is muddy.

• Wait for the result and the first session reaction before committing capital.
• Require a genuine surprise, a clear gap, and follow-through volume, not a marginal beat.
• Mark the opening range of the post-result session and enter only on confirmation.
• Place a stop below the session low for longs, or above the session high for shorts.
• Skip the trade entirely when the reaction is small or choppy, as drift is unreliable there.

Reading What Is Priced In Before You Trade

Before any earnings trade, your homework is to estimate the implied move, which is roughly the combined price of the at-the-money call and put for the nearest expiry that covers the event, expressed as a percentage of the spot price. If the at-the-money straddle on Infosys costs about Rs 90 with the stock at Rs 1,600, the market is pricing an implied move of roughly 5.6 percent in either direction by that expiry. If your own analysis says the stock is unlikely to move that much, you lean toward selling premium. If you think it could move far more, only then does buying options make sense.

Layer this against the stock's own history. Pull the last eight quarters of results from the NSE archives and note the actual percentage gap each time, the direction, and whether the move faded or extended over the following days. A stock that has repeatedly delivered gaps smaller than the implied move is a candidate for premium selling. One that regularly explodes past the implied move rewards buyers. This is real, stock-specific edge, unlike a blanket assumption that every name moves 5 to 7 percent. Combine it with simple technical context such as whether the stock is overbought into the event or sitting at a key level.

• Find the exact board-meeting date from NSE corporate announcements.
• Calculate the implied move from the at-the-money straddle of the expiry covering the event.
• Compare that implied move with the stock's actual gaps over the last eight quarters.
• Decide whether you are a net buyer or net seller of premium based on that gap.
• Size the position so a worst-case gap past your strikes is a loss you can absorb.
• Write the trade, the costs and the exit plan in your journal before you place it.

Expiry Mechanics and SEBI Rules You Must Respect

Timing an earnings trade to the right expiry is critical because of how Indian derivatives are structured. Index options like Nifty have weekly expiries, while single-stock options such as Infosys are monthly, expiring on the last Tuesday of the month. If a result falls early in the expiry cycle, a monthly stock option gives the move time to play out but also bleeds more time value. Pick an expiry that comfortably covers the result date, and remember that single-stock F and O contracts are physically settled in India, so an in-the-money option held to expiry can result in actual delivery obligations and a hefty margin requirement on expiry day.

SEBI has also tightened the F and O framework. Margins are collected upfront and peak-margin rules mean you cannot run an undersized account against large notional positions. SEBI has been rationalising weekly index expiries and raising contract sizes, so always confirm the current lot size and expiry day for the instrument you are trading rather than relying on an old number. For a stock like Infosys with a 400-share lot, one straddle controls a notional value well above Rs 6 lakh at Rs 1,600 spot, so a single earnings position is far from small, and over-leverage is the fastest way to turn one bad gap into account-ending damage.

Risk Management Sized for the Gap, Not the Average Day

Ordinary stop-losses do not protect you on earnings because the damage happens overnight in a gap, when the market is closed and no stop can fire at your level. If you are short premium and the stock gaps far past your short strike, your loss is realised at the open, well beyond where you would have wanted to exit. This is why defined-risk structures matter so much for earnings: the long protective options in an iron condor cap your worst case at a number you calculated before the trade, regardless of how violent the gap is.

Size every earnings position by its maximum loss, not by its margin or by hope. A common discipline is to risk no more than 1 to 2 percent of trading capital on any single event, because earnings are binary and even a well-researched trade can be on the wrong side of a surprise. Never average down into a losing earnings gap, never hold a naked short option through results in a small account, and always log the trade in your journal with the implied move, the actual move, the cost drag and the outcome. Over many results, that record is what turns earnings trading from gambling into a measurable, repeatable process.

• Use defined-risk structures so an overnight gap cannot exceed a loss you pre-calculated.
• Risk only 1 to 2 percent of capital per earnings event, since the outcome is binary.
• Never hold a naked short option through results in an undersized account.
• Account for brokerage, STT, GST, stamp duty and slab-rate tax before judging a trade worthwhile.
• Journal the implied move, actual move and net result for every earnings trade you take.

Common Mistakes That Drain Earnings Traders

The most expensive mistake is buying cheap-looking out-of-the-money options the day before results, expecting a windfall. These are cheap precisely because they are unlikely to pay, and after the volatility crush they are usually worthless even on a decent move. The second mistake is assuming a fixed percentage move, the very error this guide corrects, which leads to position sizes that are far too large for the real range of outcomes. The third is ignoring costs and tax, then wondering why a string of small winning trades has not grown the account, when STT, GST, stamp duty and slab-rate tax quietly took the edge.

A fourth, more subtle error is trading earnings on illiquid stocks where the bid-ask spread on options is so wide that you lose several percent just entering and exiting. Stick to liquid F and O names like Infosys, Reliance, TCS, HDFC Bank and the index instruments, where spreads are tight and you can exit fast if the gap goes against you. Finally, many traders confuse activity with edge and trade every single result on the calendar. The disciplined approach is to trade only the handful of events where your read on the implied move versus the likely actual move gives you a genuine, costed advantage.

Sources and Further Reading

For authoritative data and further reading on this topic, refer to NSE India for board-meeting dates, lot sizes and historical prices, Zerodha Varsity for options and tax mechanics, Investopedia for general concepts, and SEBI for the current derivatives framework and margin rules. Always confirm the live results date, lot size, contract specifications and tax rates on the official source before you trade, because these change over time and the figures in this guide are illustrative.

Sources and Further Reading

For authoritative data and further reading on this topic, refer to NSE India, Zerodha Varsity, Investopedia and SEBI (Securities and Exchange Board of India). Always confirm current rules, rates and contract specifications on the official source before you trade.