Fixed Position Size
Fixed position size is the simplest sizing rule, in which every trade uses the same fixed quantity of lots, contracts or shares regardless of the trade's stop distance, volatility or the account's current equity.
Quick answer: Fixed position size is the simplest sizing rule, in which every trade uses the same fixed quantity of lots, contracts or shares regardless of the trade's stop distance, volatility or the account's current equity.
In simple words
Fixed position sizing means you always trade the same amount, for example one lot of Nifty every time, no matter what the setup looks like. It is the easiest rule to follow because there is nothing to calculate. The weakness is that it treats every trade as if it carried the same risk, when a wide stop or a volatile day can make one lot far more dangerous than another. It is a reasonable starting point but a blunt instrument.
Purpose
Fixed position sizing exists as the default, lowest-effort way to size trades; understanding it matters mainly to see why more risk-aware methods replace it.
Visual explanation
Fixed Position Size
A single fixed quantity feeding every trade regardless of stop distance or volatility.
Professional explanation
What fixed position sizing actually is
Fixed position sizing commits to a constant trade quantity that does not change from trade to trade: always one lot, always two lots, or always a set number of shares. The size is chosen once, usually from what the account can afford or what feels comfortable, and then repeated. Because nothing is recomputed per trade, it is the least demanding method to operate and the easiest to automate or follow by hand. Its defining feature, constancy, is also the root of its problems, because real trades are not equally risky.
It ignores the risk of the individual trade
The money actually lost on a losing trade is the quantity times the stop distance times the point value, so holding quantity fixed lets the loss vary with the stop distance. A tight ten-point stop and a wide hundred-point stop, both traded at one lot, expose the account to ten times different rupee losses even though the position size is identical. Fixed sizing therefore controls the wrong variable: it fixes the number of lots rather than the amount at risk, which is the number that governs survival. Two trades that look the same on the ticket can carry wildly different threats to capital.
It does not adapt to volatility or account growth
A fixed quantity behaves very differently as conditions change. In a calm market one lot of Bank Nifty risks a modest sum on a normal daily range, but in a volatile regime the same lot can swing several times as much, so a constant size silently raises risk exactly when danger is highest. Fixed sizing also fails to compound: as the account grows, the constant lot becomes a smaller fraction of equity, slowing growth, and as the account shrinks in a drawdown, the same lot becomes a larger fraction, accelerating losses. It is pro-cyclical in the wrong direction.
Where a fixed size is defensible
There are narrow cases where fixed sizing is acceptable. If every trade genuinely uses a similar stop distance in a similar-volatility instrument, then fixing quantity approximately fixes risk, and the method is a passable shortcut. It is also useful as a deliberately conservative cap, one lot maximum, for a beginner learning process before adding complexity, or when exchange lot indivisibility means a small account can only ever trade one lot anyway. In these situations the simplicity is a feature rather than a flaw, provided the trader knows the assumptions being relied on.
Why professionals move beyond it
Serious risk frameworks almost always replace fixed sizing with a risk-based method, because the goal is to hold the rupee risk per trade roughly constant, not the lot count. Fixed fractional and percentage-risk models compute the quantity from the stop distance so that each loss costs a similar fraction of capital, and volatility-based methods further adjust for how much the instrument is moving. Fixed sizing is best understood as the baseline these methods improve upon, the sizing equivalent of a flat rate that ignores the specifics of each case.
Formula
Rupee risk per trade = Fixed quantity × Stop distance × Point value
Fixed quantity = the constant number of lots or shares traded every time; Stop distance = entry price minus stop-loss price in points; Point value = rupees gained or lost per one-point move per lot (for Nifty, lot 75, this is Rs 75 per point). Note the quantity is held fixed, so the rupee risk on the left varies with the stop distance rather than staying constant.
Fixed position size vs fixed fractional sizing
| Aspect | Fixed position size | Fixed fractional |
|---|---|---|
| What is held constant | The quantity of lots or shares | The fraction of capital risked per trade |
| Adapts to stop distance | No, ignores it | Yes, quantity falls as the stop widens |
| Adapts to account size | No, constant lot count | Yes, risk scales with current equity |
| Effort per trade | None | One short calculation |
| Main weakness | Rupee risk varies wildly | Needs a reliable stop to compute size |
Practical example
Illustrative example (Indian market)
A trader with Rs 5,00,000 decides to always trade one lot of Nifty, lot size 75, near 25,000. On Monday the setup has a 40-point stop, so the risk is 40 times 75, Rs 3,000, about 0.6 percent of capital, quite conservative. On Thursday, an event day, the setup needs a 150-point stop, so the same one lot now risks 150 times 75, Rs 11,250, about 2.25 percent, nearly four times as much. The position size on the ticket is identical both days, yet the threat to the account is completely different, which is the core flaw: fixing the lot count does not fix the risk. A risk-based method would have cut Thursday to fewer lots to hold the rupee loss steady.
Because NSE index lots are indivisible, a small account may be forced into a fixed one-lot size simply because it cannot afford or split a second lot. That is a margin constraint, not a chosen sizing philosophy, and the trader should still track what fraction of capital that single lot risks on each stop.
Advantages
- Requires no calculation, so it is trivial to follow and automate
- Removes discretion over size, reducing one source of impulsive decisions
- Acceptable when every trade uses a similar stop in a similar instrument
- Serves as a simple conservative cap while a beginner learns process
Limitations
- Fixes the lot count, not the rupee risk, so losses vary with the stop distance
- Ignores volatility, raising real risk in turbulent regimes at the same size
- Does not compound as equity grows nor de-risk as equity falls
- Can indirectly encourage tight, unsound stops just to keep a lot affordable
- Treats a low-conviction and high-conviction trade as identical in size
Common mistakes
- Assuming one lot means constant risk when the stop distance varies
- Keeping the same size after a large drawdown, so it becomes a bigger fraction
- Never increasing size as the account grows, capping compounding
- Trading a fixed lot in a volatile instrument sized for a calm one
- Choosing the fixed size from margin available rather than risk tolerated
- Widening or removing the stop to make a fixed lot fit a bad entry
Professional usage
Professional desks rarely use a purely fixed size except as a hard cap, for instance a maximum lots-per-trade limit layered on top of a risk-based model. The primary sizing logic almost always targets a constant risk per trade rather than a constant quantity, because the rupee at risk, not the lot count, is what compounds a drawdown. When a fixed quantity does appear, it is usually a constraint imposed by lot indivisibility or a per-instrument position limit, not the method by which size is chosen.
Key takeaways
- Fixed sizing trades the same quantity every time, ignoring stop and volatility
- It fixes the lot count but lets the rupee risk vary with the stop distance
- It neither compounds in growth nor de-risks in a drawdown
- Prefer a risk-based method that holds the loss per trade roughly constant
Frequently asked questions
What is fixed position sizing?
Why is fixed position sizing considered weak?
When is fixed position sizing acceptable?
How does fixed sizing differ from fixed fractional?
Does fixed position sizing compound the account?
How do I calculate the risk of a fixed position?
Is fixed sizing safe for beginners?
Why does volatility matter for a fixed size?
Should I keep the same size during a drawdown?
Can fixed sizing be automated easily?
Does fixed sizing encourage bad stops?
Is trading one lot always the same risk?
Why do professionals avoid pure fixed sizing?
What should I use instead of fixed sizing?
Voice search & related questions
Natural-language questions people ask about Fixed Position Size.
What is fixed position sizing?
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Can beginners use a fixed size?
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What should I use instead of a fixed size?
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.