Risk & Psychology

Everything else on this site is about being right. This page is about surviving the times you aren't, which is the part that determines the outcome.

Position sizing does more work than analysis

Position sizing — how much to put on — is the variable with the largest effect on long-term results and the one that gets the least attention. A trader who is right 60% of the time and sizes badly loses money. A trader who is right 45% of the time and sizes well can make it. The order of importance is sizing first, exits second, entries last, which is precisely the reverse of the order in which most people learn.

The risk-reward ratio is the other half of the same arithmetic: what you stand to lose against what you stand to gain, decided before entry. It is what makes a low win rate survivable, and it is why "I was right most of the time" is not evidence of anything on its own.

Leverage magnifies both. Indian derivatives supply it by default through margin, and it is worth stating plainly: leverage does not improve an edge, it only scales it. Scaling a negative expectancy makes it worse faster, and scaling a positive one increases the chance of hitting a drawdown deep enough to end the account before the edge has time to work.

The drawdown arithmetic nobody likes

A drawdown is the fall from a peak, and recovering from one is not symmetrical with causing it. Down 20% needs 25% to get back. Down 50% needs 100%. Down 80% needs 400%.

That asymmetry is the entire case for risk management, and it is a fact about arithmetic rather than an opinion about trading. It is also why compounding — the thing that makes long-run returns work at all — is so fragile: compounding requires not interrupting the sequence, and a large drawdown interrupts it in a way that subsequent good years struggle to repair.

Diversification and hedging are the two structural defences. Diversification spreads exposure across things that don't move together, which is worth less than it appears in a crisis, when correlations converge toward one. Hedging takes an offsetting position — buying puts against a holding, most commonly — and unlike diversification it works exactly when it is needed, which is why it costs money to maintain.

The behavioural half

FOMO is buying because a move is already happening, which reliably means buying late and near the point of maximum risk. It is the mechanism behind most retail losses in a hot market, and it is worst in exactly the conditions that feel the most obvious.

Averaging down — adding to a losing position to improve the average price — is the one that ends accounts. It converts a small loss into a large one while feeling like a plan, and it is defensible only when the original thesis is intact and the size was planned for from the start. In a leveraged derivative position with an expiry attached, it is almost never defensible.

Circle of competence is the discipline of only taking positions in things you actually understand. It sounds like advice for investors and is more useful for traders, because the instruments that lose money fastest are the ones whose behaviour is unfamiliar — a strategy with a payoff you have not drawn, a stock whose sector you cannot explain, an expiry-day position whose gamma you have not thought about.

None of this is a personality trait. These are all situations where the sensible action is obvious in advance and difficult in the moment, which is why the answer is always the same: decide beforehand, write it down, and remove the decision from the moment it would be made badly.

All 10 terms in Risk & Psychology

Alphabetical, each with a worked example. Every one of these is searchable from the glossary index.

Averaging Down

Buying more of a falling position to lower your average cost. It can work with quality but often just throws good money after bad — 'catching a falling knife'.

e.g. Bought at ₹100, it drops to ₹70, you buy again → average cost ₹85. Great if it recovers, painful if it keeps falling.

Circle of Competence

Investing only in businesses you genuinely understand. Staying inside it is how you avoid unknowable risks — a Warren Buffett principle.

e.g. If you can't explain how a company makes money in a sentence, it's outside your circle of competence — skip it.

Compounding

Earning returns on your past returns, so gains snowball over time. The single most powerful force in long-term investing.

e.g. 12%/yr compounded doubles your money in ~6 years (rule of 72: 72 ÷ 12 = 6).

Diversification

Spreading capital across uncorrelated assets/sectors so one bad bet doesn't sink the portfolio. 'Don't put all your eggs in one basket.'

e.g. Holding banks, IT, pharma and FMCG means a bad quarter for one sector doesn't wreck the whole portfolio.

Drawdown

The peak-to-trough drop in your capital. Max drawdown measures the worst losing stretch — a key gut-check on whether a strategy is survivable.

e.g. Your account falls from ₹10L to ₹7.5L before recovering → a 25% drawdown.

FOMO

Fear Of Missing Out — chasing a stock that's already run up because everyone's talking about it. A classic way retail traders buy tops.

e.g. A stock is up 40% in a week and trending on social media; buying in at the peak out of FOMO often means catching the top.

Hedging

Taking an offsetting position to reduce risk — e.g. buying puts to protect a stock portfolio against a fall. It costs a little to sleep at night.

e.g. Holding a ₹10L equity portfolio, you buy NIFTY puts before the Budget so a market drop is partly offset.

Leverage

Using borrowed money or derivatives to control a larger position than your capital alone allows. It amplifies both gains and losses.

e.g. 5× leverage: a 2% move in the underlying becomes a 10% swing on your capital — up or down.

Position Sizing

Deciding how much capital to put into a trade so a single loss can't damage you. A common rule: risk no more than 1–2% of capital per trade.

e.g. ₹5,00,000 capital, 1% risk = ₹5,000 max loss. With a ₹10 stop, that's 500 shares.

Risk-Reward Ratio

The potential profit of a trade versus its potential loss. A 1:3 risk-reward means risking ₹1 to make ₹3 — favourable setups let you be wrong often and still profit.

e.g. Buy at ₹500, stop ₹490 (risk ₹10), target ₹530 (reward ₹30) → 1:3 risk-reward.

Definitions are written for people learning to read a market screen, not as legal or regulatory definitions, and nothing on this page is investment advice — see the disclaimer. Spotted something wrong or unclear? Tell us.