Position sizingBeginner

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.

Position Sizing FlowCapital₹5,00,000Risk budget₹5,000 (1%)Stop distance × point40 pts × ₹75 = ₹3,000Quantity₹5,000 ÷ ₹3,000 ≈ 1 lot× 1%÷

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

AspectFixed position sizeFixed fractional
What is held constantThe quantity of lots or sharesThe fraction of capital risked per trade
Adapts to stop distanceNo, ignores itYes, quantity falls as the stop widens
Adapts to account sizeNo, constant lot countYes, risk scales with current equity
Effort per tradeNoneOne short calculation
Main weaknessRupee risk varies wildlyNeeds 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?
Fixed position sizing means trading the same constant quantity, such as one lot of Nifty, on every trade regardless of the stop distance, volatility or account size. It is the simplest sizing rule because nothing is recalculated, but it controls the number of lots rather than the amount of money at risk.
Why is fixed position sizing considered weak?
Because it fixes the wrong variable. The actual loss on a trade is quantity times stop distance times point value, so holding quantity constant lets the rupee loss swing with the stop distance. A wide-stop trade at one lot can risk several times more than a tight-stop trade at the same one lot.
When is fixed position sizing acceptable?
It is passable when every trade uses a similar stop distance in a similar-volatility instrument, so a constant quantity approximately fixes risk. It is also fine as a deliberate conservative cap while learning, or when lot indivisibility means a small account can only trade one lot anyway.
How does fixed sizing differ from fixed fractional?
Fixed sizing holds the quantity constant, while fixed fractional holds the fraction of capital risked constant and computes the quantity from the stop. Fixed fractional adapts to both stop distance and account size, whereas fixed sizing ignores both.
Does fixed position sizing compound the account?
Poorly. Because the quantity never changes, a growing account risks a shrinking fraction and compounds slowly, while a shrinking account risks a growing fraction and loses faster. It is pro-cyclical in the wrong direction compared with a fraction-of-equity method.
How do I calculate the risk of a fixed position?
Multiply the fixed quantity by the stop distance in points by the point value. For one Nifty lot of 75 with a 40-point stop, the risk is 75 times 40, or Rs 3,000. Recompute this each trade, because the same lot risks different amounts as the stop changes.
Is fixed sizing safe for beginners?
It can be a safe starting cap if the single fixed size is small relative to capital and the trader still checks what fraction each stop risks. The danger is assuming one lot always means the same risk, which is false whenever the stop distance or volatility varies.
Why does volatility matter for a fixed size?
Because the same one lot moves more in rupees when the instrument is volatile. A fixed size sized for a calm market silently carries much larger real risk on a turbulent day, so the method raises danger exactly when conditions are most dangerous.
Should I keep the same size during a drawdown?
A fixed quantity keeps the same lot count, which becomes a larger fraction of a shrinking account and accelerates the drawdown. Risk-based methods reduce the quantity as equity falls, which lengthens survival, so a constant lot in a drawdown is a known weakness of fixed sizing.
Can fixed sizing be automated easily?
Yes, and that is its main appeal. Since the quantity never changes, there is nothing to compute, so it is trivial to code or follow manually. That convenience is the trade-off for ignoring stop distance, volatility and equity changes.
Does fixed sizing encourage bad stops?
It can. If a fixed lot is only affordable with a tight stop, a trader may set an unrealistically close stop just to fit the size, which raises the chance of being stopped out by noise. Sizing from the correct stop instead avoids this trap.
Is trading one lot always the same risk?
No. One lot risks quantity times stop distance times point value, so a 40-point stop and a 150-point stop on one Nifty lot risk Rs 3,000 and Rs 11,250 respectively. The lot count is constant but the rupee risk is not, which is the central misconception fixed sizing invites.
Why do professionals avoid pure fixed sizing?
Because their goal is a roughly constant rupee risk per trade, which compounds a drawdown predictably, not a constant lot count. Desks generally use risk-based or volatility-based sizing and apply a fixed quantity only as an outer cap or where lot indivisibility forces it.
What should I use instead of fixed sizing?
A fixed fractional or percentage-risk model that computes the quantity from your stop so each loss costs a similar fraction of capital, optionally adjusted for volatility. These methods hold risk steady across trades, which is what fixed sizing fails to do.

Voice search & related questions

Natural-language questions people ask about Fixed Position Size.

What is fixed position sizing?
It means always trading the same amount, like one lot every time, no matter what the trade looks like. It is simple but it ignores how much you could actually lose.
Is trading one lot always the same risk?
No. One lot with a tight stop risks little, but one lot with a wide stop can risk several times more. The lot stays the same, the money at risk does not.
Why do people say fixed sizing is weak?
Because it fixes the number of lots instead of the money you can lose. A risk-based method fixes the loss instead, which is what really matters for survival.
Can beginners use a fixed size?
Yes, as a small conservative cap while you learn, as long as you still check what fraction of your account each stop puts at risk.
Does a fixed size grow my account faster?
Not really. It never grows as your account grows and never shrinks as it falls, so it compounds slowly and can deepen a losing streak.
What should I use instead of a fixed size?
Work out the lots from your stop so every loss costs about the same small slice of capital. That keeps your risk steady from trade to trade.

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.

    Educational content only — not investment advice. Examples use illustrative numbers and simplified models. Risk-management techniques reduce but never remove risk, and trading derivatives involves substantial risk of loss. See our Risk Disclosure and SEBI Disclaimer.