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Minimum account size for trading (how to work out what you need)
Most discussions of how much money you need answer the wrong question. They ask what the minimum deposit is, when the real question is what the smallest account is on which your strategy can be executed the way you tested it. Those are different numbers, and the second one is usually much larger.
By the EasyQuant Research Team·Published 2026-09-26·We publish the tests our own strategies fail. Nothing here is a return promise.
- Minimum lot size creates a step function: below a threshold you cannot size small enough
- The same losing streak is a 3% drawdown on one account and a 30% drawdown on a tenth of it
- Fixed costs are a larger share of a small account, so the required edge is higher
- Work backwards from the strategy's smallest sensible position, not from a deposit minimum
The short answer
Three constraints set a floor on account size, and the binding one is usually the first. The broker's minimum trade size means there is a smallest position you can take; if correct sizing for your risk rule would be smaller than that, you cannot follow your own rule and the strategy is not really available to you at that size.
The second is drawdown in percentage terms. A fixed currency loss is a different percentage of every account size, and a small account converts ordinary losing streaks into account-threatening events.
The third is fixed costs. Spread, commission and swap are charged per trade, so on a small account they consume a larger share of the expected profit, and the edge the strategy needs in order to be worth running is higher than on a large one.
One: the minimum lot is a step, not a slider
Position size is not continuous. The smallest increment is typically 0.01 lots, and below that there is nothing. That means the relationship between account size and risk is a staircase, and between the steps you cannot be precise.
Suppose correct sizing for your risk rule on a given instrument works out to 0.004 lots. You cannot trade that. Your options are 0.01 lots — two and a half times the risk you intended — or not taking the trade. Every position you take is therefore larger than your rule says, which is the same as having no rule.
The way to find the threshold is to work backwards. Decide the smallest position you would ever want to hold, convert it into the risk that position represents on the instrument, and ask what account size makes that risk equal your intended risk per trade. If the answer is larger than your account, this strategy is not available to you yet at the size you tested.
Rounding also moves the other way when the instrument's contract size is large. On gold, one lot is 100 ounces, so 0.01 lots is one ounce — a meaningful exposure per step. On instruments with smaller contracts the staircase is finer, which is one practical reason a strategy that is unworkable on one instrument is workable on another.
Two: drawdown percentage depends on the denominator
A losing streak is a fixed amount of money, and its severity depends entirely on the account it happens to. A sequence of losses totalling 300 currency units is a 30% drawdown on a 1,000 account, a 10% drawdown on 3,000, a 3% drawdown on 10,000 and a 1% drawdown on 30,000.
This is why copying a strategy's percentage settings from one account size to another does not transfer. If the strategy was developed on a 10,000 account and you run it on 1,000 with the same lot sizes, you have not run the same strategy. You have run the same rules at ten times the risk, and the drawdown percent you experience is not the drawdown the developer reported.
We see this in our own published figures. On a simulated 1,000 account using the smallest step of 0.01 lots per 1,000, the maximum drawdowns across our published simulations range from about 3.8% up to 95.2%, with a median around 24%. The same strategies traded at a larger account size with proportionally larger positions would show a different profile, because the staircase is different and the fixed costs bite differently.
The practical consequence: always ask what account size the reported drawdown was measured on, and what lot size. A drawdown percentage without those two facts is not interpretable.
Three: fixed costs have a floor, so small accounts need more edge
Spread, commission and swap are charged per trade and do not scale down with your account. A strategy making 200 trades a year pays the same cost per trade whether the account is 1,000 or 100,000.
On a large account that cost is a small fraction of the profit. On a small account it can exceed it. A strategy whose gross edge is thin and whose trade frequency is high can be profitable at scale and unprofitable at the minimum lot, and the difference is not the strategy but the ratio of fixed cost to position size.
This gives a second way to compute a minimum account size: take the average cost per trade in currency terms at the smallest position you can take, multiply by the number of trades per year, and compare that annual cost to the strategy's expected annual profit at that same position size. If the cost is a large share of the gross profit, the strategy is not viable at that size regardless of how good the backtest looked.
It is also the reason very small accounts gravitate toward high trade frequency: the fixed cost per trade feels smaller when the position has to be at the minimum anyway. That instinct makes the problem worse, not better, because it multiplies the number of times the fixed cost is paid.
Working out your own threshold
Start from the strategy, not the deposit. Take its intended risk per trade as a percentage of the account, and its stop distance in points on the instrument you intend to trade.
Convert to a position size: risk per trade in currency, divided by the value of the stop distance in currency per lot. That gives the size your rule requires.
Compare that with the minimum trade size. If the required size is below the minimum, multiply up until it reaches the minimum and see what risk that represents — that is the risk you will actually be taking, and it is the number to decide on. Then compute the account size at which the required size equals the minimum: that is your floor.
Finally, check the floor against the drawdown. Take the strategy's longest historical losing streak in currency at that position size and divide it by the account size. If the result is a drawdown you would not tolerate in practice, the account is still too small, whatever the position-size arithmetic said.
What a small account is genuinely not able to do
It cannot run a strategy whose correct position size is below the minimum lot. That is arithmetic, not gatekeeping.
It cannot diversify across many instruments, because each position has a minimum size and the minimums add up. A portfolio of ten strategies each needing the minimum position can require ten times the account of one strategy needing the same size.
It cannot absorb the fixed cost of high trade frequency without a larger edge than a big account needs for the same strategy.
None of this means small accounts cannot trade. It means the set of strategies available to a small account is smaller, and the ones excluded are excluded for structural reasons rather than because the trader is doing something wrong.
What this does not say
It does not produce a universal minimum deposit. The number depends on the instrument's contract size, the broker's minimum lot, the strategy's stop distance and the risk per trade you choose. Anyone quoting a single figure for all situations has skipped the arithmetic.
It does not mean a larger account makes a strategy profitable. Size removes structural constraints; it does not create an edge. A strategy with no edge loses money at every account size, more slowly on a larger one.
And it does not mean you should wait until you have more money before learning. Paper trading and small live positions at the minimum size are how you find out whether the rules behave as expected — provided you are honest that what you are testing at that size is not the same risk profile you intend to run later.
Current platform facts
Read live from the strategy library when this page was generated. These are the same counts published on our transparency page, and they change as strategies are added and rejected.
| Strategies in the audited library | 3672 |
|---|---|
| Flagged by the audit | 2011 |
| Flag rate | 54.8% |
| Checks still pending | 1651 |
| Passed the DSR overfitting check | 1 |
| Passed the significance check | 504 |
| DSR threshold used | 0.90 |
FAQ
- What is the minimum account size to trade a strategy?
- There is no universal figure. It is set by the smallest position your broker allows, the instrument's contract size, the strategy's stop distance and your chosen risk per trade. Compute the position size your risk rule requires, and find the account size at which that equals the minimum lot.
- Why can't I just use the smallest lot size?
- Because the smallest lot may represent more risk than your rule allows. If correct sizing is 0.004 lots and the minimum is 0.01, every trade is two and a half times the intended risk — which means you are not trading the strategy you tested.
- Does a small account have an advantage anywhere?
- It can trade strategies with small minimum positions more easily on instruments with small contract sizes, and it can take more distinct positions if the minimums are small. The structural disadvantages are in fixed costs and in the coarse granularity of position size.
- Do fixed costs really matter that much?
- They matter as a ratio. Spread and commission are charged per trade regardless of account size, so on a small account holding the minimum position they consume a much larger share of the expected profit, and the required edge is correspondingly higher.
More guides
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- Honest backtesting, not pretty curves
- Gold strategy research that stays honest
- Overfitting detection: catch it before you deploy
- System Forge: design, then prove
- Walk-forward analysis: the only backtest that fights overfitting
- MT5 export without custody
- Glass box, not black box AI signals
Not investment advice. Historical results do not guarantee future performance. EasyQuant is a research factory — you execute on accounts you control.