Mastering 0-DTE & Zero-to-Hero Execution
The trade everyone has heard a story about, and the arithmetic that nobody puts in the story.
- Lesson
- 26
- Advanced level
- Reading time
- 10 min
- 3 chapters
- Practice
- 5
- quiz questions and 6 FAQs
A lottery ticket costs little, and once in a long while it pays a great deal. Most tickets pay nothing. A “zero-to-hero” option trade is the same kind of bet: you buy a far out-of-the-money option for a few rupees on expiry day, hoping the index moves so much that it becomes worth many times more. The stories of such wins travel far. The many losses do not.
Traders also use the term 0-DTE, meaning “zero days to expiry”: an option that expires today. On such a day options are very sensitive to small moves in the index. This module does not tell you how to “master” anything. It shows the arithmetic honestly: what you pay, what you need for a gain, what a run of small losses adds up to, and what it takes to recover from a loss. Then you can judge for yourself.
All numbers are round illustrations with a NIFTY lot of 65 units. This is education, not a recommendation to trade.
What is the arithmetic of a cheap, far out-of-the-money option?
Some plain words. A strike is the fixed price in the option. A call option gains when the index rises above its strike. “Out of the money” means the strike is above the index today, so the option has no value if used now, only the chance that it will. A premium is the price you pay for that chance. It is like a token advance on a flat: if the deal does not go through, the advance is gone.
Illustration. NIFTY is at 24,500. You buy a 24,700 call, far above the index, for ₹10 per unit. One lot of 65 costs 10 × 65 = ₹650. That is the most you can lose. For the option to give back even your ₹650, NIFTY must close above 24,700 + 10 = 24,710 at expiry, a rise of 210 points on the day.
What if it works? Suppose NIFTY closes at 24,800. The call is worth 24,800 − 24,700 = 100 points. That is ₹100 per unit, ten times the ₹10 paid. In rupees, 100 × 65 = ₹6,500 received against ₹650 paid, a gain of ₹5,850. That is the picture that makes these trades attractive.
What if it does not? If NIFTY closes at or below 24,700, the option expires worthless and the ₹650 is lost in full. That is a loss of 100% of what you put in. Now add up a series. Ten such trades that all fail cost 10 × 650 = ₹6,500. A single win of ₹5,850 would not even repay that. The arithmetic asks a plain question: how often must the win come to cover the losses, and can anyone know that in advance? No one can.
The arithmetic behind "zero to hero" trades
Illustration: a far out-of-the-money NIFTY call bought for ₹10 per unit, lot of 65.
Key points
- The most you can lose on a bought option is the premium, but it is a 100% loss and it can happen again and again.
- A cheap price is not cheap risk. The index must move a long way just to get your money back.
- A large gain is possible and rare. No one can tell you when it will come.
| NIFTY at expiry | Value of the 24,700 call | Result per lot of 65 (cost ₹650) |
|---|---|---|
| 24,500 | ₹0 | −₹650 (whole premium) |
| 24,700 | ₹0 | −₹650 (whole premium) |
| 24,710 | ₹10 | ₹0 (breakeven) |
| 24,750 | ₹50 | +₹2,600 |
| 24,800 | ₹100 | +₹5,850 |
Illustration. Check: at 24,750, value is 50 × 65 = 3,250, minus cost 650 = ₹2,600. At 24,800, 100 × 65 = 6,500 − 650 = ₹5,850.
Does an event or catalyst make it more likely to work?
Implied volatility (IV) is the amount of movement already priced into an option. Before a known event, such as a policy announcement or results, IV is often higher, in the same way that umbrellas cost more just before the monsoon. So the market has already charged you for the possible surprise. You gain only if the actual move is larger than the movement priced in.
After the event, IV usually falls sharply, an effect often called an IV crush. A far out-of-the-money option can lose value quickly, even when the index moved in your favour, if the move was smaller than the option needed. This is one reason such trades lose so often around events.
The takeaway: a catalyst raises both the chance of a large move and the price of the option. It does not tilt the arithmetic in your favour by itself. Anyone who says an event “makes it a good setup” is describing a hope, not a calculation.
What a catalyst can do
When it helps
A surprise can move the index far, so a far option can payWhen it goes wrong
A calm outcome leaves the option worthlessThe price before the event
When it helps
If the surprise is bigger than expected, the buyer gainsWhen it goes wrong
The option already costs more, since the market expects movement (IV is high)After the event
When it helps
A large move can outweigh the fall in IVWhen it goes wrong
IV usually falls sharply, and the option loses value even if the index moves a little in your favourTiming
When it helps
The move comes before expiryWhen it goes wrong
The move comes after the option has expired
| Feature | When it helps | When it goes wrong |
|---|---|---|
| What a catalyst can do | A surprise can move the index far, so a far option can pay | A calm outcome leaves the option worthless |
| The price before the event | If the surprise is bigger than expected, the buyer gains | The option already costs more, since the market expects movement (IV is high) |
| After the event | A large move can outweigh the fall in IV | IV usually falls sharply, and the option loses value even if the index moves a little in your favour |
| Timing | The move comes before expiry | The move comes after the option has expired |
When it helps compared with When it goes wrong. Rules are revised from time to time.
Warning
Stories of tiny options turning into large gains are selected. You rarely see the accounts of the many small losses that came before or after.
What do repeated small losses do to your capital?
Recovery is harder than the loss. If you lose half your capital, you need a 100% gain, not 50%, to get back. This is why sizing matters more than picking the exact trade. A run of losses in cheap options is common, so the size of each trade decides whether you can stay in the game.
SEBI has published studies on individual traders in equity F&O, and they have repeatedly found that most of them lose money after costs. The FY26 study was reported to have found that about 88% lost money, but this must be checked against the SEBI publication itself. Needs verification. Whatever the exact figure, the pattern across the studies is consistent, and it is a fair reason for caution.
What this does not tell you: it does not prove that every trader loses, or that you will. It shows that the odds are hard, that costs matter and that the stories of huge gains are not the typical result. If you still choose to trade, decide your limits first and treat every rupee as capital you can afford to lose.
Step by step
- 01
Decide the total you can afford to lose
Write down a number in rupees for the whole month. If it is lost, your life and your other savings must not change.
- 02
Divide it into small parts
A single trade should be a small fraction of that number, so a run of losses does not end your account.
- 03
Count costs
Brokerage, exchange charges, taxes and the bid-ask spread apply to every trade, winning or losing. On small premiums they are a large share.
- 04
Keep a record
Note every trade and its result, including costs. After many trades your own record is the only honest evidence of whether the approach works for you.
- 05
Know when to stop
Set a stop point in advance, such as a monthly loss limit, and follow it when it comes.
| Loss on capital | Gain needed to get back to where you started | Why |
|---|---|---|
| 10% | 11.1% | 100 falls to 90; 10 is 11.1% of 90 |
| 25% | 33.3% | 100 falls to 75; 25 is 33.3% of 75 |
| 50% | 100% | 100 falls to 50; 50 is 100% of 50 |
| 80% | 400% | 100 falls to 20; 80 is 400% of 20 |
This is plain arithmetic. It holds for any trade, not only options.
Warning
Do not borrow money or use money you need for household expenses to trade options.
Warning
Increasing size after a loss to “win it back” is the pattern that ends most accounts.
Warning
Nothing in this module is advice. It explains arithmetic and risk so you can make your own informed decision.
Common questions
It means buying a cheap, far out-of-the-money option on expiry day, hoping a large move makes it worth many times the price paid. Most such options expire worthless.
Knowledge Check
You buy a 24,700 call at ₹10; lot is 65. What is the breakeven at expiry?
Keep reading
- Module 25Anatomy of Expiry Day TradingWhat changes hour by hour in the final session, when gamma and theta both go vertical.
- Module 30Defining Risk Per Trade & Stop-LossesDeciding what a single trade is allowed to cost you — before you place it, not while it is running.
- Module 33The Professional Trading MindsetJudging your trading by the process, in a market that only ever shows you the outcome.
Written By
Rohit Singh
Mr. Chartist
With 14+ years of experience in Indian financial markets, Rohit Singh (Mr. Chartist) is a SEBI Registered Research Analyst, Amazon #1 bestselling author, and the founder of Investology — a premium trading ecosystem trusted by a 1.5 Lakh+ strong community across India.
