Fixed Fractional Position Sizing
Fixed fractional position sizing sets each trade so that a loss to the stop costs a constant fraction of current account equity, computing the quantity from that risk budget and the trade's stop distance.
Quick answer: Fixed fractional position sizing sets each trade so that a loss to the stop costs a constant fraction of current account equity, computing the quantity from that risk budget and the trade's stop distance.
In simple words
Fixed fractional sizing flips the fixed method around: instead of fixing the number of lots, you fix the money you are willing to lose, say one percent of your account, and then work out how many lots that allows given your stop. When your stop is wide you take fewer lots; when it is tight you can take more. Because the risk is a fraction of your current balance, the position naturally grows as the account grows and shrinks after losses. It keeps every loss about the same size relative to capital.
Purpose
Fixed fractional sizing exists to hold the rupee risk per trade roughly constant as a share of equity, so that no single loss and no losing streak does disproportionate damage.
Visual explanation
Fixed Fractional Position Sizing
A fixed fraction of equity forms the risk budget, which the stop distance converts into a quantity.
Professional explanation
The core idea: fix the fraction, derive the quantity
Fixed fractional sizing starts from a chosen fraction of capital to risk per trade, often one or two percent, and treats that as the risk budget in rupees. It then derives the position quantity by dividing that budget by the per-unit risk, which is the stop distance times the point value. The result is that a loss to the stop always costs about the same fraction of the account, whatever the instrument or stop width. This inverts fixed sizing: the lot count now varies from trade to trade precisely so that the risk does not.
Why it compounds and de-risks automatically
Because the risk budget is a fraction of current equity, the rupee amount risked rises as the account grows and falls as it shrinks. In a winning phase, positions scale up with the balance, compounding gains geometrically rather than linearly. In a drawdown, each subsequent trade risks a fraction of a smaller balance, so the rupee loss per trade shrinks and the account bleeds more slowly, which lengthens survival. This automatic pro-survival adjustment, larger when strong and smaller when weak, is the central advantage over any fixed-quantity approach.
Choosing the fraction is a survival decision
The fraction is not arbitrary; it trades growth against drawdown and risk of ruin. A larger fraction compounds faster in good runs but produces deeper drawdowns and a higher chance of ruin during the losing streaks probability guarantees. A smaller fraction grows more slowly but survives longer runs of losses. The widely cited one-to-two-percent figure is a heuristic upper bound for a single uncorrelated trade, not a law, and it should be lower when positions are correlated or the edge is uncertain. The right fraction depends on win rate, payoff, correlation and how much drawdown you can tolerate without abandoning the plan.
It depends entirely on a meaningful stop
The method converts a risk budget into a quantity using the stop distance, so it only works if the stop reflects a real invalidation level rather than a number chosen to justify a size. If the stop is set too tight merely to permit more lots, the position is nominally within the risk budget but is far more likely to be hit by ordinary noise, so the realised loss frequency rises even though each loss is capped. Conversely, stops that gap through their level on news make the realised loss larger than the budget assumed. The quality of the sizing is only as good as the quality of the stop.
Fixed fractional versus fixed and percentage-risk
Fixed fractional and the percentage-risk model are essentially the same mechanism: both risk a fixed percentage of equity and size from the stop. In common usage, percentage-risk emphasises the per-trade budget while fixed fractional is the broader term, sometimes including variants that scale by units of capital. Both differ sharply from fixed position sizing, which ignores the stop and the equity level. The practical upgrade from fixed to fixed fractional is the single most impactful sizing change most retail traders can make.
Interaction with correlation and portfolio heat
Risking a fixed fraction per trade controls single-trade risk but not aggregate risk when several positions move together. Five trades each risking one percent look like one percent apiece but can behave like a single five-percent bet if they are highly correlated, for example five bullish index-linked positions. Fixed fractional therefore needs a portfolio-level overlay, a cap on total heat or on correlated exposure, to prevent independent-looking budgets from summing into one large hidden bet. The per-trade fraction is necessary but not sufficient for portfolio safety.
Formula
Quantity = (Capital × Risk%) ÷ (Stop distance × Point value)
Capital = current account equity in rupees; Risk% = fraction of equity risked on the trade (e.g. 0.01 for 1 percent); Stop distance = entry price minus stop-loss price in points; Point value = rupees per one-point move per lot (Nifty lot 75 = Rs 75 per point). The numerator is the rupee risk budget; the denominator is the rupee risk per one lot. Round the quotient down to whole lots.
Fixed position size vs fixed fractional
| Aspect | Fixed position size | Fixed fractional |
|---|---|---|
| Held constant | Quantity of lots | Fraction of equity risked |
| Quantity per trade | Always the same | Derived from the stop distance |
| Compounding | Linear, size never grows | Geometric, size scales with equity |
| Behaviour in a drawdown | Risk fraction rises | Rupee risk falls automatically |
| Key requirement | None | A meaningful, honest stop |
Practical example
Illustrative example (Indian market)
A trader has Rs 5,00,000 and risks a fixed 1 percent, a budget of Rs 5,000 per trade, on Nifty near 25,000 with lot size 75. The setup has a 40-point stop, so the risk per lot is 40 times 75, Rs 3,000. Quantity is Rs 5,000 divided by Rs 3,000, which is 1.67, rounded down to 1 lot. If a different setup has a tighter 25-point stop, risk per lot is 25 times 75, Rs 1,875, so quantity is Rs 5,000 divided by Rs 1,875, about 2.6, rounded to 2 lots. Notice the lot count changed from 1 to 2 precisely so that the rupee risk stayed near Rs 5,000; after a loss that cut equity to Rs 4,95,000, the next budget becomes Rs 4,950, and the size shrinks accordingly.
On a Rs 5,00,000 account the SPAN plus exposure margin for a Nifty lot may be around Rs 1,10,000 to Rs 1,30,000, so margin permits several lots even though a 1 percent risk budget allows only one or two. Fixed fractional sizes off the loss, not the margin, which is exactly why it prevents the margin-driven oversizing that ruins many F&O accounts.
Advantages
- Holds each loss to a constant fraction of capital, keeping drawdowns bounded
- Compounds geometrically as the account grows
- Automatically de-risks after losses, lengthening survival
- Adapts the lot count to each trade's stop distance
- Simple to compute and to automate with one formula
Limitations
- Only as sound as the stop it is computed from; a noise-tight stop raises loss frequency
- Controls single-trade risk but not correlated portfolio risk without an overlay
- Gaps through the stop make the realised loss exceed the budget
- Rounding to whole lots is coarse for small accounts, distorting the intended fraction
- The chosen fraction is a heuristic, not an optimum; too high still risks ruin
Common mistakes
- Setting the stop tight just to justify more lots, inflating the real loss rate
- Risking a fixed fraction per trade while ignoring correlation across positions
- Sizing off notional or margin instead of the stop-based risk budget
- Forgetting to recompute the budget from current, reduced equity after losses
- Treating 1 to 2 percent as safe regardless of edge, payoff or correlation
- Rounding lots up rather than down and quietly exceeding the risk budget
Professional usage
Fixed fractional sizing is the workhorse of professional discretionary and systematic risk control: pick a per-trade risk fraction consistent with the strategy's drawdown profile, derive quantity from the stop, and let positions scale with equity. Desks pair it with a portfolio heat limit so that correlated trades cannot sum into a single oversized bet, and they often set the fraction well below the textbook 2 percent when running many simultaneous or correlated positions. The discipline is to size from the loss, never from the margin the broker happens to allow.
Key takeaways
- Fix the fraction of equity risked, then derive the quantity from the stop
- Quantity = (Capital × Risk%) ÷ (Stop distance × Point value)
- It compounds in gains and de-risks in drawdowns automatically
- It needs an honest stop and a portfolio overlay for correlated trades
Frequently asked questions
What is fixed fractional position sizing?
What is the fixed fractional formula?
How is fixed fractional different from fixed position sizing?
What fraction should I risk per trade?
Why does fixed fractional compound the account?
Does fixed fractional reduce risk during a drawdown?
What happens if my stop is set too tight?
Is fixed fractional the same as the percentage-risk model?
Does fixed fractional protect my whole portfolio?
How do I handle whole-lot rounding?
Should I size off margin or off the stop?
Do I recompute the budget after every trade?
Can gaps break fixed fractional sizing?
Is fixed fractional suitable for beginners?
Voice search & related questions
Natural-language questions people ask about Fixed Fractional Position Sizing.
What is fixed fractional position sizing?
How do I work out the lots?
Why is this better than a fixed size?
How much should I risk per trade?
Should I size from margin or my stop?
Does risking one percent each keep me safe overall?
Sources & references
Last reviewed 12 July 2026. Educational content only — not investment advice. Markets and rules change; verify current conventions with SEBI, NSE/BSE and your broker.