Position Sizing and the 1 Percent Rule

Why Position Sizing Is the Most Important Skill You Will Learn

New traders spend almost all their time hunting for the perfect entry: the right chart pattern, the cleanest breakout, the indicator that finally works. Position sizing is the quiet decision that actually determines whether you are still trading a year from now. It answers a simple question that comes before every trade, which is how much of my money am I willing to lose if I am wrong. Get that answer right and a string of losses is an inconvenience. Get it wrong and a single bad trade can take a chunk of your capital you may never earn back.

Here is the uncomfortable truth that experienced traders learn the hard way. You can be right more often than you are wrong and still blow up your account if your losers are large and your winners are small. You can also be wrong more often than you are right and grow your account steadily if your size is controlled and your winners are allowed to run. The market does not reward being clever. It rewards staying solvent long enough for your edge to show up.

This guide is about position sizing, the discipline of deciding exactly how many shares, lots, or contracts to buy or sell on each trade so that no single loss can hurt you badly. We will build it from the ground up: the 1 percent rule, the formula that turns the rule into a number, and worked examples in rupees for stocks, index futures, and options on the NSE. This is educational material, not financial advice, but the maths here is the same maths every professional risk desk uses.

A simple analogy helps. Position sizing is the seatbelt and the speed limit of trading combined. The seatbelt does not make you a better driver and it will not win you a race, but it is the reason you walk away from the crashes that are inevitable over a long enough career. Most accounts are not destroyed by bad analysis. They are destroyed by good analysis carried in sizes far too large for the account, so that the one trade that goes wrong, and there is always one, does damage that years of correct calls cannot undo.

By the end you will be able to look at any trade idea, with its entry and its stop loss already chosen, and answer the only question that truly protects you, which is simply how much do I buy.

What Position Sizing Really Means

Position sizing is simply the process of choosing the quantity you trade based on how much you are prepared to lose, not on how confident you feel or how much margin your broker will allow. Confidence is not a measurement. Margin is what the exchange demands as a deposit, not a statement about risk. Your position size should flow from one fixed input that you control completely, which is the rupee amount you are willing to lose if the trade fails.

It helps to be clear about what position sizing is not. It is not the same as your stop loss, although the two work together. The stop loss decides the price at which you exit a losing trade. Position sizing decides how many units you hold when that stop is hit, and therefore how many rupees that exit actually costs. A perfect stop on a position that is far too large still produces a loss that breaks your rule. The stop controls where you get out; the size controls how much it hurts. You need both, and you set the size to match the stop, never the other way around.

Think of it in three steps. First, decide your risk per trade as a small fixed share of your account, for example 1 percent. Second, decide where your stop loss sits, the price at which you admit the idea was wrong and exit, because the distance between your entry and that stop is your risk per share or per unit. Third, divide the rupee amount you are willing to lose by that per unit risk, and the answer is your size. Notice that your opinion about the trade never enters the calculation, and that is exactly the point.

Many beginners do the opposite. They decide they want to buy, say, 200 shares because that feels like a serious position, and only then think about a stop, if they think about one at all. That is sizing by emotion. Disciplined sizing reverses the order: the loss you can absorb comes first, and the quantity is whatever that allows. The market will hand you plenty of uncertainty, so your size is one of the very few things you get to decide with complete precision.

The 1 Percent Rule in Plain Language

The 1 percent rule says that you should never risk more than 1 percent of your trading capital on a single trade. Risk here does not mean the value of the position. It means the amount you would actually lose if your stop loss is hit. On an account of ₹5,00,000, 1 percent is ₹5,000. That ₹5,000 is your maximum loss on the trade, no matter how large the position itself looks on screen.

The rule is powerful because of what it does to a losing streak. If you risk 1 percent per trade, ten losing trades in a row cost you roughly 10 percent of your capital, which is painful but completely survivable. Twenty losses in a row, a genuinely terrible run, still leave you with around 80 percent of your account intact and able to recover. Compare that with a trader risking 10 percent per trade, where five losses in a row roughly halves the account and the climb back is brutal.

Put numbers on the losing streak so it feels real. Start with ₹5,00,000 and risk 1 percent each time. After five straight losses you are at roughly ₹4,75,000, down 5 percent, barely a scratch. After ten you are near ₹4,52,000, down about 9.6 percent, because each loss is taken on a slightly smaller base. Even a brutal fifteen losses in a row leaves you around ₹4,30,000, still holding about 86 percent of your capital and fully able to keep trading. That resilience is the entire reason professionals obsess over keeping the per trade number small.

One percent is a guideline, not a law of physics. Many experienced traders use 0.5 percent while learning a new strategy and may go up to 2 percent on their highest conviction setups once they have data showing their edge is real. Beginners should err on the smaller side. The exact number matters less than the principle, which is to keep the risk on any one trade small enough that being wrong, even several times in a row, never threatens your ability to keep trading.

A useful habit is to express every result in R, where R is your risk on the trade. If 1R is ₹5,000 and a trade makes ₹15,000, that is a 3R win. A trade that loses the full stop is a loss of 1R. Thinking in R instead of rupees keeps your attention on risk and reward as a ratio, which is exactly where it should be.

The Position Sizing Formula and How to Use It

The whole method collapses into one formula. Position size equals account times risk percent, divided by the distance from entry to stop. Written out, size = (account × risk%) / (entry - stop). The numerator is the rupees you are willing to lose. The denominator is how much you lose per share, per point, or per unit if the stop is hit. Divide one by the other and you get the number of units that keeps your loss exactly at your chosen risk.

Walk through the parts. Account is your total trading capital. Risk percent is your chosen fraction, say 1 percent, so the numerator on a ₹5,00,000 account is ₹5,000. Entry minus stop is the per unit risk: if you buy at ₹500 and place your stop at ₹480, the per unit risk is ₹20. Size equals ₹5,000 divided by ₹20, which is 250 shares. Buy 250 shares and your loss at the stop is exactly ₹5,000, your 1 percent.

The formula reveals the single most important relationship in trading: the wider your stop, the smaller your position, and the tighter your stop, the larger your position, for the same fixed risk. Your stop placement and your size are two ends of the same lever. This is why a stop should be placed where the chart says the idea is wrong, not where your wallet wishes it would be. You then let the formula shrink the size to fit. You never widen the risk to fit the size.

This method has a name, fixed fractional position sizing, because you risk a fixed fraction of the current account on every trade. A subtle benefit follows: as your account grows, 1 percent is a larger rupee figure, so your size rises automatically with success, and as the account shrinks during a rough patch, 1 percent is smaller, so your size falls automatically and protects you when you are trading worst. The method leans into winning streaks and leans away from losing ones without you having to decide anything. That gentle, automatic adjustment is one reason it has lasted for decades.

Always round the result down to a whole number of shares or lots, never up. Rounding up pushes your risk slightly above your limit, and over hundreds of trades those small overshoots add up. Rounding down keeps you safely inside the rule. For instruments that trade in fixed lots, like index futures and options, the lot size can force your hand, which we will see shortly.

A Worked Position Sizing Example with Reliance

Suppose your paper trading account is ₹5,00,000 and you follow the 1 percent rule, so your maximum loss per trade is ₹5,000. You like Reliance Industries near ₹1,400 after a pullback and decide that if it closes below ₹1,350 your reason for being long is gone. Your entry is ₹1,400 and your stop is ₹1,350, so the per share risk is ₹50.

Apply the formula. Size equals ₹5,000 divided by ₹50, which is 100 shares. You buy 100 shares of Reliance at ₹1,400. The position is worth ₹1,40,000, which is 28 percent of your capital, yet your actual risk is only ₹5,000. This is the part beginners miss: a position can occupy a large share of your account on screen while the money truly at risk stays tiny, because the stop is close.

Now play it forward both ways. If Reliance falls to ₹1,350 and you exit, you lose 100 shares times ₹50, which is ₹5,000, exactly your 1 percent. If instead it rallies to ₹1,500 and you book it, you gain 100 times ₹100, which is ₹10,000, a 2R win. The trade risked one unit of pain to make two, and your sizing made sure the pain was capped before you ever clicked buy.

Scale the same idea to a smaller account and the discipline still holds. On a ₹1,00,000 account, 1 percent is ₹1,000, so with the same ₹50 stop on Reliance your size becomes ₹1,000 divided by ₹50, which is 20 shares, a position worth ₹28,000. The shares change, the risk as a share of capital does not. This is what makes the rule portable: whether you trade one lakh or one crore, the formula keeps every loss at the same small fraction, and your results depend on your process rather than the size of your wallet.

Wider Stops Mean Smaller Size: An HDFC Bank Example

The same account and the same ₹5,000 risk, but a different stop, tells a different story. You want to buy HDFC Bank at ₹1,950, but the nearest sensible support, the level that would prove you wrong, sits down at ₹1,870. That is a per share risk of ₹80, wider than the Reliance trade.

Size equals ₹5,000 divided by ₹80, which is 62.5, rounded down to 62 shares. You buy 62 shares at ₹1,950, a position worth ₹1,20,900. The wider stop forced a smaller quantity, and that is correct behaviour, not a problem. The trade with more room to be wrong gets less size, so that both trades risk the same ₹5,000. The formula keeps your risk constant even as the chart changes.

This is the discipline that separates consistent traders from gamblers. A gambler buys the same 100 shares regardless of where the stop sits, so a wide stop quietly turns a 1 percent trade into a 2 or 3 percent trade without them noticing. The position sizing formula refuses to let that happen. Every trade, whatever its stop, costs you the same fixed slice of capital when it fails.

Volatility Based Position Sizing with the ATR

Placing a stop at a round number or a recent swing low works, but many traders prefer to let the market's own volatility set the stop distance, and therefore the size. The common tool is the Average True Range, or ATR, which measures how much an instrument typically moves in a period. A stop set a multiple of ATR away from entry adapts automatically: it is wide when the stock is wild and tight when the stock is calm.

Suppose Reliance has a daily ATR of ₹25 and you decide your stop sits 2 ATR below entry, which is ₹50. On your ₹5,00,000 account at 1 percent risk, size equals ₹5,000 divided by ₹50, again 100 shares. If volatility rises and the ATR jumps to ₹40, a 2 ATR stop becomes ₹80, and the formula automatically cuts your size to 62 shares. You did not change your risk. The market changed, and your size responded.

Volatility based sizing is valuable because fixed rupee stops can be too tight in turbulent markets, where normal noise stops you out, and too loose in quiet markets, where you carry more size than the move justifies. By tying the stop to ATR and feeding that into the same formula, your risk stays at 1 percent while your position breathes with the market. It is the same rule, made smarter about conditions.

One caution is worth stating. ATR tells you how much an instrument has been moving, not how much it will move next, so it can lag when conditions change suddenly, for example around results or major news. Treat it as a sensible default for the stop distance, not a guarantee. The discipline that matters is that whatever method sets your stop, a technical level or an ATR multiple, you always feed that exact distance into the formula and let it decide the size. The tool that picks the stop can change. The habit of sizing from the stop never does.

Position Sizing for Futures: Margin Is Not Your Risk

Futures change one thing that trips up almost every beginner: you trade in fixed lots, and the broker only asks for margin, a fraction of the contract value, as a deposit. The margin is not your risk. Your risk is still the distance from your entry to your stop, multiplied by the lot size. Confusing the two is how traders take positions ten times bigger than they realise.

Take NIFTY futures, where the lot size is 65 (the exchange revises lot sizes periodically, so always check the latest NSE circular before sizing). Say NIFTY is at 25,000 and you want to be long with a stop at 24,900, a distance of 100 points. Your risk per lot is 100 points times 65, which is ₹6,500. On a ₹5,00,000 account, that single lot already risks 1.3 percent, above your 1 percent limit. The lot size has made even one contract too big for this stop. You either tighten the stop, choose a smaller product, or skip the trade. What you must not do is take it anyway and pretend the rule still holds.

Suppose instead your stop is only 76 points away. Risk per lot is 76 times 65, which is ₹4,940, just under ₹5,000, so one lot fits the 1 percent rule almost exactly. BANKNIFTY, with a lot size of 30 and a higher price near 55,000, behaves similarly: a 166 point stop gives a risk of 166 times 30, about ₹4,980 per lot, again roughly 1 percent. The lesson is constant. With futures, always compute points to your stop times the lot size, compare it to your rupee risk limit, and let that decide how many lots, where the honest answer is often zero or one.

There is a second trap with futures: margin can be lower for hedged positions, which tempts traders to add more lots simply because the broker now asks for less money. Resist it. A lower margin requirement does not make the trade less risky, it only changes the deposit. Your loss if the stop is hit is still points times lot size times number of lots, exactly as before. Size from that loss, not from the margin the screen happens to show. The margin tells you what you can put on; the 1 percent rule tells you what you should put on, and the second number is almost always the smaller one.

Because one futures lot can dwarf a small account, many Indian retail traders simply cannot size index futures within 1 percent on a modest balance. That is not a failure of the rule. It is the rule doing its job, telling you the instrument is too large for your capital today. A paper trading account is the ideal place to feel this before real money is involved.

Position Sizing for Options: Defining Risk on Premium

Options give you two very different risk profiles, and each needs its own sizing logic. When you buy an option, the most you can lose is the premium you pay, so your risk is capped by definition. When you sell, or write, an option, your premium received is the most you can gain, while your loss can be far larger, so sizing must be far more careful. Index options on the NSE are cash settled, and weekly options now exist only for the NIFTY 50 index, expiring every Tuesday, which makes them popular but fast moving.

For an option buyer, the simplest approach is to treat the total premium as your risk. Buy one lot of a NIFTY 25,000 call at ₹120 with a lot size of 65, and you pay 120 times 65, which is ₹7,800. On a ₹5,00,000 account, that is about 1.56 percent at risk, already above 1 percent for a single lot if you treat the whole premium as the loss. A more active approach is to set a stop on the premium itself, for example exiting if the price falls from ₹120 to ₹50, a risk of ₹70 times 65, which is ₹4,550, comfortably inside your ₹5,000 limit. Be warned that gaps and sharp moves can blow through a premium stop, especially on expiry day, so the full premium is the only loss you can truly guarantee to cap.

For an option seller, premium received is not your risk, because the position can lose multiples of it. Sell that same 25,000 call for ₹120, collecting ₹7,800, and decide your stop is a doubling of the premium to ₹240. Your loss at that point is ₹120 times 65, which is ₹7,800, or about 1.56 percent of your account, again above the limit for one lot. To respect the 1 percent rule you would need a tighter premium stop, a defined risk spread that caps the loss, or simply a larger account. Selling naked options without a sizing plan is one of the fastest ways to turn a long winning streak into a single catastrophic loss.

Spreads make options sizing far more comfortable, because they convert an open ended risk into a known one. In a bull call spread, for example, you buy one call and sell a higher call, and your maximum loss is simply the net premium you paid, fixed and known before you enter. If that net debit is ₹60 per unit on a 65 lot, your worst case is 60 times 65, which is ₹3,900, well within a ₹5,000 limit for one lot. Because the loss is capped by the structure itself, you can size a spread the same way you size a stock: divide your rupee risk by the maximum loss per lot to get the number of lots.

The practical takeaway for options is to always translate the trade into a worst case rupee figure before you place it, and size from that figure, not from the premium that looks small and affordable. Buyers should ask how much they will lose if the option expires worthless. Sellers should ask how much they lose if the trade moves hard against them, and whether a defined risk structure is wiser than an open ended one.

Portfolio Heat: Adding Up Your Total Position Sizing Risk

Sizing each trade at 1 percent protects you trade by trade, but trades do not happen in isolation. If you hold five positions, each risking 1 percent, your total risk, often called portfolio heat, is 5 percent. If all five hit their stops at once, which correlated positions tend to do, you lose 5 percent in a single bad session. Controlling per trade risk without watching total heat is like locking every window but leaving the front door open.

Put it in numbers. Imagine four trades, each sized at 1 percent, so ₹5,000 of risk each and ₹20,000 of heat in total, which looks like a tidy 4 percent. But if three of them are bank stocks that move together, a bad day for banks can stop out all three at once, turning what looked like four independent 1 percent bets into something closer to one 3 percent bet plus one separate bet. The arithmetic of heat only works when the trades are genuinely independent. When they are not, you must either cut the size of each correlated trade or hold fewer of them, so that your real worst case stays inside your comfort level.

A sensible cap for many traders is to keep total open risk under 4 to 6 percent at any time, meaning four to six trades each at 1 percent, or fewer if the trades are correlated. Correlation matters more than the count. Long positions in HDFC Bank, ICICI Bank, and a BANKNIFTY future are really one big bet on banks, not three independent trades. When the sector falls, they fall together, and your true heat is far higher than the simple sum suggests.

The fix is to size by independent bets, not by ticker. If two trades move together, treat their combined risk as close to one position when you count heat. Spread risk across uncorrelated ideas, across different sectors, different directions, or different instruments, so that a single market shock cannot hit every open trade at once. Position sizing at the portfolio level is just the 1 percent rule applied to the whole book instead of one trade.

Scaling In and Scaling Out of Positions

Scaling means building or reducing a position in pieces rather than all at once, and done correctly it works hand in hand with position sizing. Scaling in, sometimes called pyramiding, means adding to a position as it moves in your favour. The disciplined way to do it is to add only after you have moved the stop on your first tranche to breakeven, so that the new risk you add still keeps total risk at or below your 1 percent limit. You never average down into a losing trade hoping it turns, because that is adding risk exactly when the market is telling you that you are wrong.

Here is a clean example. You buy 100 shares of Reliance at ₹1,400 with a stop at ₹1,350, risking ₹5,000. The stock rises to ₹1,450 and holds, so you move your stop up to ₹1,400, your entry, locking in no loss. Now you can add a second tranche, sized so that the risk from ₹1,450 down to the new stop stays within your rule. Your overall risk has not grown beyond 1 percent, but your size has, and you are heavier in a trade that is already proving itself.

Scaling out is the reverse: selling part of the position as it reaches targets to bank profit and reduce risk. You might sell half at a 2R gain and trail a stop on the rest, so the worst case becomes a winning trade while the remainder runs for a larger move. Scaling out trades a little maximum profit for a lot more consistency, which is often the right deal for a developing trader. Both techniques rest on the same foundation: you always know your current risk in rupees, and you adjust quantity, never your discipline, to keep it controlled.

The Drawdown Math That Makes the 1 Percent Rule Worth It

The strongest argument for small position sizing is arithmetic, not opinion. Losses and the gains needed to recover them are not symmetric. A 10 percent loss needs an 11 percent gain to get back to even. A 20 percent loss needs 25 percent. A 33 percent loss needs 50 percent. A 50 percent loss needs a 100 percent gain, a doubling, just to return to where you started. And a 75 percent loss needs a 300 percent gain. The deeper the hole, the steeper the climb, and it climbs faster than most people imagine.

This is why the 1 percent rule is worth the patience it demands. By keeping every loss tiny, you stay in the shallow part of that curve, where recovery is quick and almost automatic. A trader who never lets a drawdown exceed 15 or 20 percent needs only an ordinary winning patch to recover. A trader who lets a single bad stretch reach 50 percent needs an extraordinary, possibly career defining run just to break even, and the pressure of that hole often pushes them into bigger, more desperate bets that dig it deeper.

There is a related idea called risk of ruin, the probability that a string of losses wipes out your account before your edge can play out. Smaller position sizing pushes the risk of ruin towards zero for any sensible strategy, while large sizing can make ruin almost certain even for a strategy that would have been profitable at small size. Survival is not a side benefit of good position sizing. It is the entire goal, because you cannot compound an account that no longer exists.

The same arithmetic explains why compounding rewards consistency over brilliance. Two traders can finish a year with the same average return, yet the one with the smaller, steadier drawdowns ends up with more money, because they never had to climb out of a deep hole that ate their gains. Smooth equity curves compound; jagged ones spend half their time recovering. Position sizing is the single biggest lever you have over the smoothness of that curve, which is why risk managers care about it far more than about any individual trade idea.

Look at the recovery curve and let it sink in: protecting capital on the way down is worth far more than chasing returns on the way up.

Costs and Taxes Change Your Real Risk in India

Your true risk per trade is slightly larger than the price distance to your stop, because trading costs sit on top of every loss. On the NSE you pay brokerage, Securities Transaction Tax (STT), exchange transaction charges, SEBI charges, stamp duty, and 18 percent GST on the brokerage and transaction charges. None of these are huge on a single trade, but they widen your effective loss and nibble at your winners, so a careful trader builds a small buffer into the risk figure rather than sizing right up to the last rupee.

A quick worked figure shows why the buffer matters. Suppose your Reliance trade loses at the stop for ₹5,000 of price risk. Brokerage, STT, exchange and SEBI charges, stamp duty, and 18 percent GST on the brokerage and transaction charges might add a few hundred rupees on the round trip, so your real loss is a little above ₹5,000, not exactly ₹5,000. On a single trade that is trivial, but across hundreds of trades the costs are a steady drag that the headline price stop ignores. Sizing to 0.9 percent instead of a flat 1 percent quietly absorbs that drag and keeps your true risk honest.

Different instruments carry different costs, and that affects sizing too. Intraday equity and futures attract relatively low charges, while options have their own STT treatment and frequent trading multiplies the friction. Equity in India now settles on a T+1 basis, so funds and shares move quickly, but the costs are deducted regardless of whether the trade won or lost. If you trade crypto, remember that profits are taxed at a flat 30 percent with a 1 percent TDS on transactions, a very different regime that changes how much of a winning trade you actually keep.

The practical adjustment is simple. When you compute size, treat your risk limit as slightly conservative, for example sizing to 0.9 percent so that costs bring the real figure close to 1 percent. Over hundreds of trades this small humility keeps you genuinely inside your rule instead of quietly drifting over it. Remember as well that this is educational material to help you understand the mechanics, and it is not financial advice or tax advice, since rates and rules can change.

Common Position Sizing Mistakes to Avoid

Most blow ups trace back to a handful of repeated sizing errors, and they are easy to name once you know them. The good news is that every one of them is a habit, which means every one of them can be unlearned with practice on a paper account before real money is at stake.

Notice the common thread running through this list. Each mistake breaks the link between the loss you can afford and the quantity you take. Good position sizing is nothing more than protecting that link on every single trade, no matter how confident, bored, or frustrated you feel. The rule has to hold most strongly precisely when your emotions are arguing hardest that this trade is different.

• Sizing by margin: buying as many lots as the broker allows instead of as many as your stop permits.
• Forgetting the stop: entering without a defined exit, which makes the risk, and therefore the correct size, impossible to know.
• Widening the stop to keep a big position: moving the stop further away so the trade does not get hit, which silently multiplies your risk.
• Averaging down: adding to a losing trade to lower the average price, turning a small loss into a large one.
• Ignoring correlation: holding several positions that are really one bet, so portfolio heat is far higher than it looks.
• Revenge sizing: doubling up after a loss to win it back fast, which is the single most reliable way to do serious damage.
• Risking a fixed quantity: always trading 100 shares or one lot regardless of stop distance, so risk swings wildly from trade to trade.

Building Your Own Position Sizing Plan

A position sizing plan does not need to be complicated. It needs to be written down before you trade, so that in the heat of a live market you are following a process rather than inventing one. Put yours on a single page and keep it next to your screen. Here is a practical template you can adapt.

The discipline pays off in a way that is hard to feel until you have lived it. With a plan like this, no single trade can hurt you, a losing streak becomes a manageable dip rather than a crisis, and your attention is freed to focus on finding good setups instead of worrying about ruin. The plan turns position sizing from a calculation you sometimes remember into a habit you always follow.

• Decide your account size and your risk per trade, for example 1 percent, and write the rupee figure (₹5,000 on a ₹5,00,000 account) so there is no maths to do under pressure.
• For every trade, mark your entry and your stop first, then compute size with the formula (account × risk%) divided by (entry minus stop).
• Round the result down to whole shares or lots, and if even one lot exceeds your risk, reduce the trade or skip it.
• Cap total portfolio heat, for example at 5 percent, and count correlated trades as one bet.
• Decide your scaling rules in advance: when you add, only after the first tranche risk is removed, and where you book partial profit.
• Keep a journal recording your size, your risk in R, and the outcome, then review weekly to confirm you stayed inside the rules.

Position Sizing Is Practised, Not Memorised

You can read about position sizing in an afternoon, but you only own it after you have applied it across dozens of trades and watched it protect you through a losing run that would otherwise have rattled you. The formula is genuinely simple. The hard part is following it on the trade where you feel certain, on the day you are down and want it all back, on the setup that looks too good to size small. That is where the rule earns its keep.

This is exactly why a paper trading account is so valuable. Practise the full loop with virtual money: define the stop, run the formula, take the honest size, log the result in R, and review. Do it until computing your size is as automatic as checking the price. By the time you trade real capital, position sizing will feel less like a constraint and more like the seatbelt that lets you drive with confidence.

Markets will always be uncertain, and no method makes you right more often than you are. What position sizing gives you is control over the one variable that decides whether uncertainty is survivable, which is how much you lose when you are wrong. Keep that number small, keep it consistent, and let time and your edge do the rest. That, more than any indicator, is what keeps a trader in the game. This article is for education only and is not financial advice.

Frequently asked questions

What is position sizing in trading?

Position sizing is the process of deciding how many shares, lots, or contracts to trade based on how much money you are willing to lose if the trade hits its stop. It links your quantity to your risk rather than to your confidence or your available margin. Done well, it ensures that no single losing trade can seriously damage your account.

What is the 1 percent rule in trading?

The 1 percent rule means risking no more than 1 percent of your trading capital on any single trade. On a ₹5,00,000 account, that caps the loss per trade at ₹5,000. It keeps losing streaks survivable, since even ten losses in a row cost only about 10 percent of your capital.

How do you calculate position size?

Use the formula size = (account × risk%) / (entry - stop). The numerator is the rupees you are willing to lose, and the denominator is your loss per share or unit if the stop is hit. For example, ₹5,000 of risk divided by a ₹50 stop distance gives 100 shares. Always round the answer down to whole shares or lots.

How do I size NIFTY and BANKNIFTY futures with the 1 percent rule?

Multiply your stop distance in points by the lot size to get your risk per lot, then compare it to your rupee limit. With NIFTY's lot of 65, a 76 point stop risks about ₹4,940 per lot, close to 1 percent of a ₹5,00,000 account. Lot sizes are revised by the exchange periodically, so check the latest NSE circular, and remember that often one lot is the most a modest account can take.

How much should a beginner risk per trade?

Beginners should risk a small, fixed fraction, typically 0.5 to 1 percent of capital per trade. Smaller risk means a losing streak cannot threaten your account while you are still learning. The exact number matters less than keeping it consistent and never increasing it to chase losses.

Does the 1 percent rule work for options?

Yes, but you must size from the worst case loss in rupees, not the premium that looks cheap. For buyers, the full premium is the most you can lose, so check that one lot's premium fits your risk limit. For sellers, losses can far exceed the premium received, so use a premium stop or a defined risk spread and size from that maximum loss.

What is portfolio heat?

Portfolio heat is the total risk across all your open positions added together. Holding five trades each risking 1 percent gives 5 percent heat, and correlated trades that move together raise your true risk even higher. Many traders cap total heat around 4 to 6 percent so that a single bad session cannot do serious damage.