# Position Sizing

> Position sizing decides how much to trade so a loss costs a fixed amount. Learn the formula, worked examples for stocks, futures, forex, and crypto.

Canonical: https://www.journalx.io/glossary/position-sizing

**Position sizing** is the step where you decide how much of something to trade. Not whether to take the trade, and not where to get out, but the quantity: how many shares, contracts, lots, or coins. It is the least glamorous decision in trading and the one with the largest effect on your results, because the same sequence of trades can build an account or empty it depending only on how big each one was.

The useful way to think about it is backwards from the loss. You decide what a losing trade is allowed to cost, you decide where the trade is wrong, and the quantity is whatever number makes those two agree. Size is an output, not a preference.

## How Position Sizing Works

Three numbers go in.

1. **Account equity.** What you are actually trading with right now, not what you deposited.
2. **[Risk per trade](/glossary/risk-per-trade).** The share of that equity you accept losing on a single trade, commonly 0.5% to 2%.
3. **Stop distance.** The gap between your entry and your [stop-loss](/glossary/stop-loss), in price.

The first two multiply into a risk budget in dollars. The third divides it into a quantity.

> Position size = (account equity x risk per trade) ÷ (entry price − stop price)

![A four-step flow where a $25,000 account times 1% risk gives a $250 risk budget, divided by the $2.50 gap between a $50.00 entry and a $47.50 stop, giving 100 shares](https://assets.journalx.io/marketing/glossary/position-sizing/position-sizing-formula.avif)

On a $25,000 account risking 1%, the budget is $250. With an entry at $50.00 and a stop at $47.50, the stop distance is $2.50, so the size is $250 ÷ $2.50 = 100 shares. That is a $5,000 position, 20% of the account, risking 1% of it.

Notice that the position value and the risk are completely different numbers. Traders who size by "I'll put 20% of my account in" have no idea what they are risking. Traders who size by the stop always do.

## The Same Risk, Three Different Sizes

The point that takes longest to sink in is that a wider stop is not more risk. It is fewer shares.

![Three horizontal bars showing 500 shares on a 50 cent stop, 200 shares on a $1.25 stop, and 100 shares on a $2.50 stop, every row risking the same $250](https://assets.journalx.io/marketing/glossary/position-sizing/position-sizing-same-risk.avif)

| Stop distance | Shares | Position value | Risk if stopped |
| ------------- | ------ | -------------- | --------------- |
| $0.50         | 500    | $25,000        | $250            |
| $1.25         | 200    | $10,000        | $250            |
| $2.50         | 100    | $5,000         | $250            |

Every row loses $250. A volatile symbol that needs room gets a smaller position, a tight setup gets a larger one, and your worst day looks the same either way. This is what makes results comparable across instruments, and it is why traders who size this way can talk about their performance in [R-multiples](/glossary/r-multiple) at all.

## Position Sizing by Asset Class

The formula never changes. What changes is what "one unit of price" is worth.

**Stocks and ETFs.** Risk per share is just the price difference. Shares = risk budget ÷ (entry − stop).

**Futures.** Price moves in ticks, and each tick has a fixed dollar value set by the contract. A Micro E-mini S\&P 500 contract is $5 per index point. With a 10-point stop, one contract risks $50, so a $250 budget allows 5 contracts. The full-size E-mini is $50 per point, so the same 10-point stop risks $500 per contract, and a $250 budget does not allow even one. The contract you choose is part of the sizing decision.

**Forex.** Sizing is in lots, and the value of a pip depends on lot size. On a standard lot of EUR/USD, one pip is about $10, a mini lot is about $1, and a micro lot is about $0.10. With a 25-pip stop and a $250 budget, you can risk $10 per pip, which is one standard lot.

**Crypto.** The same as stocks, in fractional units. Entry at $60,000 with a stop at $58,200 puts $1,800 at risk per coin, so a $250 budget buys 0.139 of it. Watch out for leverage on perpetual contracts, where the liquidation price can sit closer than your stop.

**Options.** If you are buying premium and treating the whole premium as the risk, the size is the budget divided by (premium x contract multiplier). A $2.50 premium on a 100-multiplier contract risks $250 per contract, so a $250 budget is exactly one. Defined-risk spreads work the same way, using the maximum loss of the structure.

When the arithmetic gives you 3.7 contracts, take 3. Rounding up quietly raises your risk above the number you set, and it is the one place a sizing rule breaks without you noticing.

## Sizing Methods, and When Each One Shows Up

| Method                  | How size is set                                                               | Where it fits                                                                                                                       |
| ----------------------- | ----------------------------------------------------------------------------- | ----------------------------------------------------------------------------------------------------------------------------------- |
| **Fixed fractional**    | A constant percentage of current equity per trade                             | The default for most discretionary traders, scales up and down with the account on its own                                          |
| **Fixed dollar**        | The same dollar risk on every trade regardless of equity                      | Simple and steady, but does not compound as the account grows and does not shrink after a drawdown                                  |
| **Fixed unit**          | Always the same share or contract count                                       | Common with beginners, means your risk swings wildly with the stop distance                                                         |
| **Volatility-adjusted** | Stop distance set from something like average true range, then sized normally | Keeps risk consistent across instruments that move at very different speeds                                                         |
| **Kelly-style**         | Size derived from measured edge and win rate                                  | Mathematically optimal for growth in theory, brutal in practice, and most traders who use it size at a fraction of what it suggests |

Fixed fractional is where nearly everyone lands, and for a plain reason. It reduces the dollars at risk automatically after a losing streak, exactly when you can least afford the next loss, and it raises them after a winning run.

## Why Sizing Outweighs Entry Timing

An edge is a per-trade average. Your [expectancy](/glossary/expectancy) might be +0.25R, which says nothing about money until size converts R into dollars. Two traders can run the same strategy, take the same trades, and end the year in completely different places because one risked a consistent 1% and the other varied between 0.3% and 6% depending on how sure they felt.

Uneven sizing does something worse than adding variance. It breaks the link between your strategy and your P\&L. When your biggest positions are your most confident ones, and confidence is not a measured edge, a handful of oversized losers can wipe out a hundred correctly sized winners. Your journal will then show a losing account attached to a profitable system, which is a genuinely confusing place to be.

## Key Takeaways

- Position sizing turns a risk decision into a quantity, using the account, the risk per trade, and the stop distance.
- Size is an output. Choose the stop from the chart and the risk from your rules, then let the arithmetic pick the quantity.
- A wider stop means fewer units, not more risk, which is what keeps trades comparable in R.
- Fixed fractional sizing scales with the account and reduces exposure automatically during a drawdown.
- Consistent sizing is what makes a positive expectancy show up as a rising [equity curve](/glossary/equity-curve) instead of noise.

## Common Mistakes

**Sizing first, then placing the stop.** Deciding on 500 shares and then finding a stop that keeps the loss tolerable puts the stop somewhere the chart never suggested. The trade gets taken out by normal noise and the setup gets blamed.

**Using account balance instead of current equity.** After a 15% drawdown, sizing off the original balance means every trade is now risking more than your rule allows, at the worst possible time.

**Ignoring the notional exposure.** A 1% risk with a very tight stop can be a huge position. A gap through the stop on a $25,000 position hurts far more than the $250 you planned, which is worth thinking about before earnings or a weekend.

**Forgetting costs.** Commissions, spread, and slippage all come out of the same trade. On small stops they can be a meaningful slice of your 1R.

**Letting size drift with mood.** Doubling up to recover a loss is not position sizing. It is the fastest known route from a normal drawdown to an abnormal one.

## How JournalX Handles Position Sizing

JournalX captures the entry, stop, and quantity you planned before the trade, so the intended risk is on record rather than reconstructed afterwards. Once the trade closes, it reports the outcome in dollars and in R against that original 1R, which is what makes the numbers across different symbols and account sizes comparable at all.

From there you can slice the data with stackable filters to answer sizing questions directly. Group results by setup to see whether your larger positions actually earn their size, compare planned risk to realized risk to catch the trades where the stop moved, and read it all beside your [expectancy](/glossary/expectancy), [average loss](/glossary/average-loss), and [maximum drawdown](/glossary/drawdown). Sizing discipline is hard to feel and easy to measure, so it belongs in the journal.