SEBI's studies of individual traders in equity derivatives have landed repeatedly in the same place: roughly nine in ten lose money, with aggregate losses running into thousands of crores a year.
That statistic gets quoted constantly and examined almost never. "Most people lose" is not useful on its own. Why they lose is useful, because some of the reasons are fixable and some are not.
The costs you pay regardless
Start with the part that has nothing to do with skill.
Every trade costs money before it has any chance of being right: brokerage, exchange fees, STT, stamp duty, GST, and the bid-ask spread. Individually small. Collectively, for an active trader, substantial.
This means F&O is a negative-sum game for participants as a group. The total paid out is less than the total put in, because the difference goes to intermediaries and the exchange.
In a negative-sum game, an average participant loses by definition. You do not need any behavioural explanation to get from there to "most lose" — you need one to explain how anyone wins.
The structural disadvantages
Some things are simply true about a retail trader's position, and no amount of discipline changes them:
Information timing. Institutions see order flow and data you do not. By the time news is public, it is priced.
Execution. Professional infrastructure fills better than a retail app on a home connection.
Capital. A larger account survives a losing streak that ends a small one. This is not fairness; it is arithmetic.
Being clear-eyed about this matters. It rules out competing on speed and news reaction — and rules in the things that remain available: patience, selectivity, position sizing, and the freedom to not trade at all. Institutions frequently must be in the market. You never have to be.
The behavioural mechanisms
This is the part you can change, and where most of the damage happens.
Sizing too large. Covered in its own lesson, and the biggest single cause. A good strategy sized badly loses. A mediocre strategy sized well survives.
Cutting winners, holding losers. Taking a ₹2,000 profit quickly because it feels safe, then holding a ₹2,000 loss because closing it makes it real. Do this consistently and your average win is smaller than your average loss — which means you can be right more than half the time and still lose money.
Revenge trading. Increasing size after a loss to recover it. This is the mechanism that turns a manageable drawdown into a terminal one, and it activates precisely when judgement is worst.
Trading without an edge. Most people never establish that their approach has positive expectancy. They have a set of habits and an assumption. Losses then get attributed to bad luck rather than to the absence of an edge.
No plan for exits. Entries get all the attention. But every trade's outcome is decided at the exit, and a trader without a predetermined exit makes that decision under maximum emotional pressure.
The F&O-specific traps
Derivatives add failure modes that cash equity does not have:
Cheap options that are not cheap. Far out-of-the-money weeklies combine low delta, fast decay and rich implied volatility. They are the most-traded retail contracts and the hardest to win with.
Leverage removing recovery time. In cash you can be wrong for weeks. In F&O you can be wrong for two hours and be finished.
Expiry as a deadline. Being right too late is identical to being wrong.
Selling premium without understanding the tail. Premium selling works most of the time, which is exactly what makes it dangerous. Months of small gains build confidence and size, and then one gap removes all of it.
What the winners do differently
The minority who are profitable are not, in general, better forecasters. The differences are duller than that:
- They trade less, and pay less friction as a result
- They size smaller, and survive losing streaks
- They have a defined edge, and know when conditions suit it
- They cut losses mechanically, before the decision becomes emotional
- They keep records, and so know which of their assumptions are actually true
- They do not trade when conditions are poor
Not one of those requires talent. All of them require doing something unexciting, consistently, when the exciting alternative is right there.
The honest framing
The statistic is not there to discourage you. It is there to set expectations correctly.
You are entering a negative-sum game against better-resourced participants. That is a hard problem, and pretending otherwise is how people lose money they could not afford.
But the reasons people lose are largely specific and identifiable, and a meaningful share of them are within your control. Nobody can hand you an institution's infrastructure. Anyone can stop taking twenty trades a day, size at 1%, and write down why they entered.
Whether that is enough to put you in the profitable minority is genuinely uncertain. Whether it improves your odds is not.
Check yourself
0 of 4 answered1.Why is F&O described as a negative-sum game for participants as a group?
2.A trader wins on 60% of trades but still loses money overall. What is the most likely cause?
3.Which structural disadvantage can a retail trader do nothing about?
4.Why is premium selling described as dangerous precisely because it works most of the time?
What to take away
- F&O is negative-sum for participants; the average one loses by arithmetic.
- Costs scale with frequency. Overtrading is an arithmetic problem, not just a discipline one.
- Some disadvantages are structural — do not compete on speed or news.
- Cutting winners and holding losers loses money at any win rate.
- Cheap weekly options are the hardest structure to win with, and the most popular.
- Winners trade less, size smaller, and keep records.
- The fixable causes are the majority of the damage.