Position size is calculated by dividing the amount you are willing to lose by the distance to your stop. That single sentence contains most of what separates accounts that survive from accounts that do not. Almost every trader has a process for deciding direction. Far fewer have a process for deciding size, and size is the variable that determines whether being wrong is a cost of doing business or the end of the account. This guide covers the risk-per-trade convention, how to derive position size from a stop rather than from available margin, and where the stop itself belongs.
The Problem: Direction Gets All the Attention
The marketing framing is straightforward: higher leverage, bigger returns from the same capital. The arithmetic behind it is real. A 4% move with 5x leverage produces a 20% return on margin, and the same move at 25x produces 100%. Nothing about that is false.
That asymmetry is the problem. Direction is a forecast, and forecasts are wrong regularly even when the process is sound. Size is not a forecast. It is a decision made with complete information, entirely within the trader’s control, and it determines what happens when the forecast fails. Accounts almost never die from a single bad call. They die from a series of ordinary bad calls carried at a size that made the series unsurvivable.
This is the same insight from the other direction as our guide to crypto leverage explained: the multiple selected on a position matters far less than the share of the account committed to it.
The Risk-Per-Trade Convention
What 1% to 2% actually buys you
The widely used convention is to cap the loss on any single trade at 1% of account equity, sometimes stretched to 2% for higher-conviction setups. It is often mistaken for timidity. It is closer to arithmetic about losing streaks, which are a statistical certainty rather than a possibility.
Assume a ₹2,00,000 account and ten consecutive losing trades, which any active trader will eventually experience.
| Risk per trade | Equity left after 10 losses | Drawdown | Gain needed to get back to even |
|---|---|---|---|
|
1% |
₹1,80,900 |
9.6% |
10.6% |
|
2% |
₹1,63,400 |
18.3% |
22.4% |
|
5% |
₹1,19,700 |
40.1% |
67.0% |
|
10% |
₹69,700 |
65.1% |
186.8% |
|
20% |
₹21,500 |
89.3% |
831.3% |
The final column is the one that matters. At 1% risk, a ten-loss streak is an unpleasant month that a 10.6% recovery erases. At 10% risk, the same streak requires nearly tripling what is left. At 20%, recovery is arithmetically out of reach. The rule is not about expecting to lose ten in a row. It is about ensuring that when it happens, it is a setback rather than an ending.
Why the percentage is of equity, not of margin
The risk figure is a percentage of total account equity, not of the margin committed to the position. This is where the calculation most often goes wrong. A trader with ₹2,00,000 who commits ₹20,000 of margin and thinks of risk as a percentage of that ₹20,000 has quietly changed the denominator, and with it the entire protective purpose of the rule.
The right-hand column is the one worth sitting with. At 2x, liquidation requires a decline of the kind that takes months to develop. At up to 25x, it requires a move well within what Bitcoin does on an ordinary day. The multiple has not changed the market’s behaviour at all; it has changed which of the market’s normal behaviours is fatal.
Deriving Size From the Stop, Not From the Margin
The formula
Almost every sizing error comes from starting with the wrong question. The instinctive question is how large a position the available margin permits. The correct question is how large a position keeps the loss at the intended amount if the stop is hit.
Position size = Amount at risk / Stop distance %
On a ₹2,00,000 account risking 1%, the amount at risk is ₹2,000 in every row below. Only the stop distance changes.
| Stop distance | Position size that risks ₹2,000 | Effective leverage on the account | Loss if the stop is hit |
|---|---|---|---|
|
1% |
₹2,00,000 |
1.00x |
₹2,000 |
|
2% |
₹1,00,000 |
0.50x |
₹2,000 |
|
3% |
₹66,667 |
0.33x |
₹2,000 |
|
5% |
₹40,000 |
0.20x |
₹2,000 |
|
8% |
₹25,000 |
0.12x |
₹2,000 |
Two things are worth noticing. First, the final column is identical throughout: that is the point of the method. Second, a tighter stop permits a larger position, and a wider stop demands a smaller one. This runs directly against a common habit, which is to hold size constant and widen the stop when a position moves against you. That converts a planned 1% loss into an unplanned larger one, and it is one of the most reliable ways to damage an account while feeling like you are managing it.
Note also how small these positions are relative to the account. Sizing this way produces effective leverage well below 1x, which means liquidation sits far away and stops doing any work. Traders arriving from index derivatives often find these sizes counterintuitively small, which our guide on crypto trading for equity traders covers in the context of the wider volatility.
Where the Stop Actually Goes
Mark price is the reference that count
Liquidation is calculated on the mark price, not the last traded price. Many platforms let you choose which of the two triggers a stop order, and the choice has consequences: a stop set on last traded price can be triggered by a brief local wick that mark price never confirmed, closing a position that was never genuinely in danger. It is worth knowing which trigger your platform uses by default rather than discovering it during a volatile hour.
A stop has to be an order, not an intention
A crypto perpetual futures market trades continuously, including while you sleep. A mental stop only functions when someone is watching the screen, which in a 24-hour market is a smaller fraction of the position’s life than most traders admit. Resting orders do not require attention.
Holding costs erode the buffer
Fees and funding rate payments are deducted from equity while a position is open, so the distance between the current price and any liquidation level narrows slightly over time even if price has not moved. On short trades this is negligible. On positions held for weeks it is worth accounting for.
Holding costs erode the bufferCorrelated positions are one position
Major crypto assets tend to move together, and the correlation tightens precisely when moves are sharpest. Three long positions in three different assets, each sized to risk 1%, is not three independent 1% risks. In a broad decline it behaves much more like a single position risking 3%. The risk budget belongs to the market direction, not to the number of tickers.
A Full Worked Example
A ₹2,00,000 account, a 1% risk rule, and a trade where the idea is invalidated by a 3% adverse move. Assumes a maintenance margin of 0.5% of position value.
- Amount at risk: 1% of ₹2,00,000, which is ₹2,000
- Stop distance: 3%, set at the level where the trade thesis fails
- Position size: ₹2,000 divided by 0.03, which is ₹66,667 of exposure
- Effective leverage: ₹66,667 against ₹2,00,000 of equity, which is 0.33x
- Loss if the stop is hit: ₹2,000, exactly 1% of the account, as intended
Only now does leverage enter, and only to determine how much margin is tied up holding that ₹66,667.
| Selected leverage | Margin committed | Liquidation distance | Distance from the 3% stop |
|---|---|---|---|
|
2x |
₹33,333 |
49.5% |
Liquidation is far beyond the stop |
|
5x |
₹13,333 |
19.5% |
Comfortable buffer |
|
10x |
₹6,667 |
9.5% |
Workable, buffer is narrower |
All three rows produce the identical trade, with the identical ₹2,000 loss if the stop is hit. The selected multiple changes only how much margin sits in the position rather than staying free in the account. And in all three cases liquidation is between three and sixteen times further away than the stop, so the stop is comfortably what gets hit first.
That is the whole argument in one observation. Size from risk, and liquidation stops being a live concern. Size from available margin, and liquidation becomes the thing that ends the position, because that approach maximises size and pulls the liquidation level towards the entry.
Size Is the Only Variable Fully in Your Control
A trader controls none of the things they spend most of their attention on. Not direction, not volatility, not timing, not whether a level holds. All of that is the market’s to decide, and a good process only improves the odds.
Size is different. It is chosen with full information, before any uncertainty is resolved, and it is honoured precisely. A position sized to lose ₹2,000 loses ₹2,000 when the stop is hit. Nothing else in trading is that reliable, which is why it is worth treating size as the primary decision and direction as the secondary one, rather than the reverse.
For the sequence of margin, liquidation and sizing taught in order rather than as separate topics, NIYAM Academy covers this ground with worked exercises.
Frequently Asked Questions
What is the 1% risk-per-trade rule in crypto trading?
It is the convention of limiting the loss on any single trade to 1% of account equity, sometimes extended to 2%. The reasoning is arithmetic rather than temperamental: at 1% risk, ten consecutive losses reduce the account by about 9.6%, which requires roughly a 10.6% gain to recover. At 10% risk, the same losing streak costs 65% of the account and requires a 186% gain to get back to even.
How do you calculate position size in crypto futures?
Divide the rupee amount you are willing to lose by the distance to your stop, expressed as a percentage. On a ₹2,00,000 account risking 1%, the amount at risk is ₹2,000. With a stop 3% away, the position size is ₹2,000 divided by 0.03, which is ₹66,667 of exposure. The available margin does not enter the calculation.
Should a stop-loss be set on mark price or last traded price?
Liquidation is calculated on mark price, so mark price is the reference that ultimately governs the position. Many platforms let you choose which price triggers a stop order, and a stop set on last traded price can be triggered by a brief local wick that mark price never confirmed. Check which trigger your platform uses by default, because the two behave differently in thin markets.
Does a wider stop mean a bigger or smaller position?
Smaller. Risk is position size multiplied by stop distance, so if the stop is further away, the position must be smaller to keep the loss the same. This is the opposite of how many traders behave, which is to keep position size constant and widen the stop when a trade goes against them.
What leverage should I use if I size positions from risk?
Leverage becomes an output rather than a decision. Once position size is derived from risk and stop distance, the selected multiple only determines how much margin is committed to hold that size. The practical constraint is that liquidation must sit well beyond your stop, so the stop is what gets hit first. On a 3% stop, that means staying well below the level where liquidation and the stop would coincide.
Can you avoid liquidation entirely with proper position sizing?
Liquidation becomes largely irrelevant rather than impossible. A position sized from a 1% risk rule typically runs a fraction of account equity in exposure, which places liquidation many times further away than the stop. Liquidation is mostly a symptom of sizing from available margin, since that approach maximises position size and pulls the liquidation level close to the entry.
Do correlated positions count as separate trades for risk purposes?
Not for practical purposes. Major crypto assets tend to move together, particularly during sharp moves, so three long positions in different assets often behave as one larger long position. Applying a 1% risk rule to each separately can mean carrying 3% of correlated risk on a single market direction.