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I grew up in a stockbroking family. My father was a broker. I have spent time around markets and market participants since I was a teenager. And I spent years making most of the mistakes that retail traders make, taking concentrated positions in single stocks, selling too early and watching the price continue rising, holding too long in losing positions hoping for recovery. I’ve written about some of these experiences in my post on envy. This post is about what I’ve come to believe is the right framework for most people: invest, don’t trade.
That’s not a comfortable conclusion for someone from my background. Trading is glamorous in a way investing isn’t. The vocabulary is exciting. People who trade well have sharp, confident opinions about markets. There’s a certain prestige attached to it in the circles I grew up around. And none of that changes the math.
What the data actually says
SEBI has published studies on the F&O (futures and options) trading outcomes of retail participants in India. The findings are not ambiguous. In one major study covering multiple years of data, over 90% of individual F&O traders lost money over the period studied. The losses were not small. The average loss for losing traders was significantly larger than the average profit for profitable traders. A small minority of traders, concentrated among those who trade at very high volumes, suggesting professional or institutional participants, captured most of the profits.
This is not a surprise if you understand how financial markets work. For every rupee a buyer makes on a trade, a seller loses it (before costs). In the F&O market specifically, there are always two sides to every transaction. On one side, often, are professional traders, algorithmic systems, market makers, and proprietary desks at large firms, people who have better data, faster execution, deeper research, and lower transaction costs than a retail investor sitting at home with a laptop. Trading against these participants is not a fair fight. Most retail traders lose not because they’re foolish, but because the competition is brutal and the edge required to win consistently is far harder to develop than it appears.
In equity delivery trading (buying stocks to hold), the numbers are better than in F&O, but the evidence on whether retail investors who pick individual stocks outperform the index consistently is also unflattering. Most stock pickers underperform the Nifty 50 over long periods, even when they’re not counting their time cost.
The regret spiral, my personal experience
I have felt this directly. There is a very specific psychological pattern that catches most stock pickers. You buy a stock at ₹100 based on a thesis. It goes to ₹130. You feel smart. Then it drops to ₹110. You feel nervous but hold, your thesis hasn’t changed. It drops to ₹90. Now you’re in loss. You tell yourself it will recover. It goes to ₹70. Now you’re deep in loss and paralyzed, selling locks in the loss, but holding means living with the pain every day. Eventually you either sell at ₹60 in frustration, or it recovers to ₹95 and you sell just to get out, and then it continues to ₹200.
That story, in various forms, played out for me more times than I want to count. The buying decision is often fine. The position management, when to add, when to reduce, when to exit completely, is where most people fail. And it’s not because they’re not trying hard enough. It’s because the emotional experience of watching a position move against you systematically degrades your judgment in ways that are very hard to counteract.
The selling-too-early version is equally painful. You buy a stock at ₹100, it goes to ₹140, you feel clever and sell, banking the 40% gain. Then over the next two years, it goes to ₹400. The regret of watching a stock you once owned continue to multiply is corrosive. You feel like you made the right decision with the information you had, and yet you’re poorer than if you’d done nothing. That feeling leads people to make increasingly speculative decisions trying to replicate the gain they missed.
The case for investing instead
Investing, in the sense I mean it, is buying a diversified portfolio of businesses and holding through market cycles, allowing the underlying growth of those businesses to compound over time. A Nifty 50 ETF is the purest form of this. You own a slice of India’s 50 largest companies. You hold for 15–20 years. You reinvest dividends. You add regularly via SIP.
This approach does not require you to be right about any particular company. It does not require you to time the market. It does not put you in a psychological position where any single stock’s movement causes anxiety. The regret spiral cannot take hold because there is nothing individual to regret, you own the whole basket, some of which will do well and some poorly, and the aggregate result of that basket is India’s economic growth delivered to your portfolio.
The behavioural advantage of index investing is underrated. The studies that show equity index funds outperform most active strategies over long periods are partly about cost and partly about the eliminating of the human decision-making layer that introduces behavioural errors. When you can’t sell individual names because you don’t own individual names, you’re protected from your own worst instincts at market extremes.
The details of how I build the equity part of a long-term portfolio are in Farming Money. The framework is simple, equity (mostly index-based), debt, gold, and simplicity is a feature, not a limitation. The more moving parts in a portfolio, the more opportunities to make behavioural errors.
Is there any room for stock picking?
I don’t want to say never. There are people who have the temperament, the time, the research capabilities, and the emotional discipline to pick stocks successfully over long periods. They exist. They’re just much rarer than the financial media would have you believe, and identifying yourself as one of them requires honest self-assessment rather than a few good years in a bull market.
If you want to try stock picking, I’d suggest treating it as a separate, small account, call it your learning account, with a fixed amount that you’re genuinely comfortable losing entirely. Keep your real wealth, your long-term financial security, in the index fund portfolio. The learning account has a cap; you can’t add to it when it goes down. This separation protects your long-term portfolio from your short-term enthusiasms, and it gives you a way to develop the skill (or discover the lack thereof) without material damage.
F&O trading, futures and options, I would not recommend for retail investors unless they have specific, professional-grade reasons to be there (hedging a large existing equity portfolio, for example). The leverage in F&O amplifies both gains and losses, and the data on retail outcomes is clear. For most people, F&O trading is not a path to wealth, it’s a path to transferring retail capital to professional traders more quickly.
The time cost nobody counts
There’s one more argument against active trading that rarely gets counted: time. Serious stock research takes hours per week. Monitoring positions, reading earnings reports, following sector developments, thinking about when to enter and exit, this is a part-time job at minimum. For most people, that time has an opportunity cost. It’s time that isn’t spent on your actual career or business, which in most cases has a higher expected return than marginal improvements to stock selection.
A Nifty 50 ETF SIP takes ten minutes to set up and perhaps one hour per year to review. The rest of that time is yours. The compounding of that time, in your career, in your relationships, in your own wellbeing, is real, even if it doesn’t show up in your portfolio returns.
Practical takeaway: If you’re currently trading actively, do an honest audit: calculate your total net returns (including all winning and losing trades), subtract the brokerage and taxes paid, and compare it to what a simple Nifty 50 ETF SIP would have returned over the same period with the same capital. Most people who do this exercise find the comparison uncomfortable, and that discomfort is the most useful data point.
This post is for educational purposes only. It is not financial advice. Mohit Mehra is not a SEBI registered investment advisor. Please consult a qualified financial advisor before making investment decisions.