Defining Risk Per Trade & Stop-Losses
Deciding what a single trade is allowed to cost you — before you place it, not while it is running.
- Lesson
- 30
- Intermediate level
- Reading time
- 9 min
- 4 chapters
- Practice
- 3
- quiz questions and 4 FAQs
A kirana shopkeeper does not put the whole month's cash into one bulk order of one item. If that item does not sell, the shop cannot pay the rent. Trading capital needs the same care. The first job is to stay in business; the second is to earn.
Risk per trade is the amount of money you agree to lose if one trade goes wrong. Maximum drawdown is the biggest fall your account has had from a peak to a low. Portfolio heat is the total risk you carry at one time across all open trades. These three ideas decide whether a bad week is an annoyance or the end of your account.
This module explains each idea with small rupee examples marked as illustrations. It also explains what the rules cannot do. A rule about size cannot make a bad plan good, and it cannot promise that a stop will be honoured. Nothing here is advice to trade.
How much of my money should I risk on one trade?
Many traders use a simple convention: risk no more than 1% to 2% of trading capital on one trade. This is a habit used by many desks, not a law, and the right figure depends on your own situation. The point is not the exact number. The point is that each single loss stays small, so that a string of losses does not end your account.
The reason is arithmetic. If you lose 10%, you need to gain 11.1% to get back, because you are climbing from a smaller base. Lose 50% and you need a 100% gain. The deeper the hole, the steeper the climb. So a rule that keeps each loss small also keeps the recovery climb short.
See what a losing streak does. With capital of Rs 5,00,000 and 1% risk, ten losses in a row leave about 90.4% of the money (0.99 multiplied ten times). With 10% risk, only five losses in a row leave about 59% (0.90 multiplied five times). The second trader has lost 41% in five trades. Both are illustrations of arithmetic, not forecasts of how often streaks occur.
Why deep losses are hard to climb out of
Gain needed to get back to the starting balance after a fall. Formula: gain = loss / (1 - loss).
What this does not tell you: This is arithmetic, not a prediction of how often such losses occur. It also does not say that small risk per trade guarantees safety: a sequence of 10 losses at 1% risk leaves about 90.4% of capital (0.99 to the power 10), which is survivable, but 5 losses at 10% risk leaves about 59%.
| Risk per trade | Losses in a row | Capital left (from Rs 5,00,000) | Capital lost |
|---|---|---|---|
| 1% | 10 | about Rs 4,52,200 | about 9.6% |
| 2% | 10 | about Rs 4,08,500 | about 18.3% |
| 5% | 10 | about Rs 2,99,400 | about 40.1% |
| 10% | 5 | about Rs 2,95,200 | about 41.0% |
Illustrative arithmetic: capital x (1 - risk) multiplied by itself for each loss. It assumes each loss is exactly the planned amount.
Warning
What this does not tell you: that 1% is safe. A gap can cause a loss larger than planned, and a plan with no edge loses money slowly even at small size. Small risk buys time; it does not create profit.
How do I turn a rupee risk into a number of lots?
A lot is the fixed pack size of a contract. You cannot buy half a lot. So the sum is: rupee risk you accept, divided by the loss on one lot if your stop is hit. Round down to a whole number.
Illustration with a Bank Nifty option, lot of 30 units (NSE revised it from 35 to 30 in January 2026; confirm the current size). Capital Rs 5,00,000, risk 1% = Rs 5,000. You buy a call at a premium of Rs 300 and decide to exit if it falls to Rs 250, a fall of 50 points. Loss on one lot = 50 x 30 = Rs 1,500. Lots = 5,000 / 1,500 = 3.33, so 3 lots. Cost of 3 lots = 300 x 30 x 3 = Rs 27,000, which must be in the account before the order.
Now the honest limits. If the premium gaps from Rs 300 to Rs 200 overnight, your stop of Rs 250 does not protect you: the loss is 100 x 30 x 3 = Rs 9,000 and not the planned Rs 4,500. Wide bid-ask spreads can also make the real exit price worse than the stop. The formula sets a ceiling on planned size, and a plan can still be surprised.
Lots from a rupee risk
Fill in the loss per lot first. If the answer is below 1, the trade does not fit your risk budget.
Rupee riskCapital x risk %, for example Rs 5,00,000 x 1% = Rs 5,000.Points at riskDistance from entry to your exit, for example 50 premium points.Lot sizeUnits in one contract, set by the exchange and revised from time to time.
Warning
When this goes wrong: moving your stop wider to make one more lot fit. That raises the loss per lot and defeats the rule.
What is maximum drawdown, and what should I do when I am in one?
Maximum drawdown (MDD) is the largest fall from a peak in your account value to the next low, before a new peak. Suppose your account grew to Rs 5,00,000 and then fell to Rs 4,20,000. The drawdown is (5,00,000 - 4,20,000) / 5,00,000 = 16%. It tells you how much pain a method has caused in the past, which return figures do not show.
Some traders write a rule for deep drawdowns, such as cutting risk per trade by half after a 10% fall from the peak and returning to full size after the account recovers part of the fall. The idea is to slow down when the method may not be fitting the market. It is a choice, not a rule of nature.
Every such rule has a price. Trading smaller during a drawdown also slows your recovery, and you may cut size just before conditions improve. The rule protects you from the worst case and gives up some of the best case. Decide your rule in advance, when you are calm, and write it down.
Key points
- Drawdown is measured from a peak to a low: (peak - low) / peak.
- A drawdown rule is decided in advance and written down, not invented in the middle of a bad week.
- Cutting size limits further damage, but also slows recovery.
Warning
What this does not tell you: what maximum drawdown you will face in future. Past drawdowns are a floor for what is possible, not a ceiling.
Are ten trades really ten separate risks?
Portfolio heat is the total risk you have open at the same time. If you risk 1% on each of ten trades, your heat is 10%. But if all ten trades are long on shares that rise and fall with the same market, one fall can hit all ten stops together. Then you do not have ten small risks; you have one large one.
Correlation is the word for how closely two things move together. Trades in different sectors or with opposite views may have lower correlation. In sharp market falls, though, many shares fall together, so real diversification is often less than it looks on a calm day.
A simple habit is to cap total open risk as well as risk per trade. The cap is your choice; 5% is an example number only. Also list which trades depend on the same idea, and count them as one.
Ten trades are not always ten separate risks
Portfolio heat is the total risk you have open at one time. Correlation decides how much of it is really one bet.
What this does not tell you: Correlation is not fixed. In sharp sell-offs, assets that looked unrelated often fall together, so real diversification is usually less than it seems on a calm day. Spreading across many trades lowers the effect of one bad idea, not the effect of a market-wide fall.
Step by step
- 01
List every open position
Write the rupee loss if each stop is hit.
- 02
Group those that share a cause
For example, all long trades that depend on the market rising count as one group.
- 03
Add up risk by group
Compare the total with your cap on open risk.
- 04
Reduce or skip if above the cap
Do not open a new trade in the same group until an old one closes.
Common questions
No. It is a convention many traders use to keep single losses small. The right level depends on your capital, how often you trade and how much loss you can accept. Any fixed percentage still needs a stop that works, and it does not give an edge by itself.
Knowledge Check
Capital is Rs 5,00,000, risk is 1% and the loss per lot at your stop is Rs 1,500. How many lots does the formula allow?
Keep reading
- Module 29Mathematical Position Sizing StrategiesThe number of lots is the output of a calculation, not the result of how confident you feel.
- Module 32Surviving Black Swan EventsThe move the model calls a once-a-century event, which the market seems to deliver every few years.
- Module 34Mastering Emotional ControlFear, greed and revenge trading — the three that cost more money than any bad setup ever did.
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.
