# Risk Per Trade

> Risk per trade is the share of your account you accept losing on one trade. Learn the 1% and 2% rules, what losing streaks cost, and how to pick a number.

Canonical: https://www.journalx.io/glossary/risk-per-trade

**Risk per trade** is the slice of your account you are willing to lose if a single trade goes wrong, set in advance and expressed as a percentage of current equity. Risking 1% of a $25,000 account means $250 per trade. Risking 5% means $1,250. The number looks small either way, which is exactly why it gets chosen carelessly, and why it ends up being the difference between a career and a story.

Everything downstream depends on it. Your [position sizing](/glossary/position-sizing) formula uses it as an input, your [drawdown](/glossary/drawdown) depth is a function of it, and how you feel while trading is more affected by it than by any indicator you will ever add to a chart.

## How Risk Per Trade Works

Risk per trade is the "how much" half of a two-part decision. The [stop-loss](/glossary/stop-loss) supplies the "where."

> Dollar risk = account equity x risk per trade
>
> Position size = dollar risk ÷ stop distance

On a $25,000 account at 1%, the dollar risk is $250. With a stop $2.50 away, that is 100 shares. Change the stop to $1.25 and it is 200 shares. The dollar risk never moves, which is the point.

Two details separate a rule that works from one that only looks like it works:

- **Use current equity, not your original deposit.** After a 20% drawdown, 1% of a $20,000 account is $200, not the $250 it was. Sizing down automatically during a bad run is most of the protection this rule offers.
- **Count total risk, not just per-trade risk.** Three correlated positions each risking 1% is a 3% trade wearing a disguise. Correlated instruments move together on the day it matters.

## What a Losing Streak Actually Costs

Losing streaks are not rare events. They are the arithmetic of any win rate below 100%. Here is what a run of ten losses in a row does to the same account at four risk levels.

![Four lines showing the share of an account left after ten consecutive losing trades, ending at 90% for 1% risk, 82% for 2%, 60% for 5%, and 35% for 10%](https://assets.journalx.io/marketing/glossary/risk-per-trade/risk-per-trade-losing-streak.avif)

| Risk per trade | After 5 losses | After 10 losses | After 20 losses |
| -------------- | -------------- | --------------- | --------------- |
| 0.5%           | −2.5%          | −4.9%           | −9.5%           |
| 1%             | −4.9%          | −9.6%           | −18.2%          |
| 2%             | −9.6%          | −18.3%          | −33.2%          |
| 5%             | −22.6%         | −40.1%          | −64.2%          |
| 10%            | −41.0%         | −65.1%          | −87.8%          |

The 1% trader ends a ten-loss streak needing an 11% gain to be whole. The 10% trader needs about 186%. Same ten trades, same strategy, entirely different futures.

## How Long Are Streaks, Really?

Traders consistently underestimate this. If you take 200 trades in a year and your outcomes are roughly independent, here is the longest losing run you can expect to hit, from a simulation of 200,000 such years:

| Win rate | Typical longest losing streak in 200 trades | Chance of hitting 8 losses in a row | Chance of hitting 10 |
| -------- | ------------------------------------------- | ----------------------------------- | -------------------- |
| 60%      | 5                                           | 7%                                  | 1%                   |
| 50%      | 7                                           | 32%                                 | 9%                   |
| 40%      | 9                                           | 75%                                 | 38%                  |
| 35%      | 11                                          | 91%                                 | 62%                  |

A trend follower with a 35% [win rate](/glossary/win-rate) and a positive expectancy should plan on an eleven-trade losing run at some point in a normal year. Not as a disaster scenario. As a Tuesday. Your risk per trade has to be a number that survives that without pushing you into changing the plan.

A lower win rate is perfectly fine as long as the winners are large enough, but it comes with longer losing runs. Strategies that win less often generally need smaller risk per trade to produce the same tolerable drawdown, even when their expectancy is identical.

## The Recovery Math

A loss and the gain that undoes it are not the same size, and the gap widens fast.

![The gain needed to recover from drawdowns of 10, 20, 30, 40, 50 and 65 percent, rising from 11 percent to 186 percent, with the dashed line marking a doubling of the account](https://assets.journalx.io/marketing/glossary/risk-per-trade/risk-per-trade-recovery.avif)

| Drawdown | Gain needed to get back to even |
| -------- | ------------------------------- |
| 10%      | +11%                            |
| 20%      | +25%                            |
| 30%      | +43%                            |
| 40%      | +67%                            |
| 50%      | +100%                           |
| 65%      | +186%                           |

Below about 30% the hole is still a hole you can climb out of with normal trading. Past 50%, recovery starts to require performance you have never demonstrated, usually at the exact moment your confidence is lowest. Risk per trade is the dial that decides which of these you can ever fall into.

## Where the 1% and 2% Rules Come From

The 2% rule is most associated with Alexander Elder, who sets it out alongside a 6% monthly limit in *The New Trading for a Living*. No single trade risks more than 2% of account equity, and if closed losses plus the risk on open positions reach 6% for the month, you stop opening new trades until the next one. The two work together. The per-trade cap limits one mistake, the monthly cap limits a bad patch.

The 1% figure is the more conservative convention that grew up around active trading, largely because day traders take far more trades. Ten trades a day at 2% each is a very different exposure from one swing trade a week at 2%.

Neither number is magic, and neither is a recommendation. They are anchors that survived because accounts run at those levels tended to survive too.

## Choosing Your Own Number

Rather than picking a percentage because it sounds sensible, work backwards from a drawdown you know you can sit through.

1. **Decide the drawdown you could take without abandoning the plan.** Be honest. Most people overestimate this until it happens.
2. **Estimate your realistic worst streak** from your win rate, using the table above or your own record.
3. **Solve for the risk that keeps them compatible.** If a 20% drawdown is your line and your worst streak is 9, then 2% risk gets you to roughly 17%, which fits. If your worst streak is 15, 2% takes you past 26%, and it does not.
4. **Adjust for frequency and correlation.** Fifteen trades a week at 2% each is not the same animal as two.

Then leave it alone. A risk level you revise mid-drawdown is not a risk level.

## Risk Per Trade, Position Size, and Max Daily Loss

These three get used as if they mean the same thing.

- **Risk per trade** is the percentage rule. It is a policy.
- **Position size** is the quantity that policy produces on a specific trade, given the stop.
- **Max daily loss** is the circuit breaker across trades, often set at two or three times the per-trade risk, after which you are done for the session.

You need all three. The first controls the size of a mistake, the second implements it, the third stops a bad day from becoming a bad quarter.

## Key Takeaways

- Risk per trade is the percentage of current equity you accept losing on one trade, chosen before you place it.
- Most active traders keep it between 0.5% and 2%, and the exact figure matters less than keeping it constant.
- Ten losses at 1% is a 10% dent. Ten at 10% is a 65% hole that needs a 186% gain to repair.
- Losing streaks are longer than they feel. A 40% win rate should expect nine in a row somewhere in 200 trades.
- Size off current equity so exposure falls automatically during a [drawdown](/glossary/drawdown).

## Common Mistakes

**Treating the percentage as a target rather than a ceiling.** A setup you half-like does not have to get the full 1%.

**Raising risk to recover faster.** Increasing size during a drawdown is the single most reliable way to turn a recoverable one into a terminal one, because it raises exposure exactly when the equity base is smallest.

**Ignoring correlation.** Four tech longs at 1% each is a 4% bet on one theme.

**Counting only closed trades.** Open positions carry risk too. Elder's 6% rule counts both for this reason.

**Setting it once and never testing it.** If your actual worst streak turns out to be twice what you assumed, the number needs revisiting between drawdowns, not during one.

## How JournalX Tracks Risk Per Trade

JournalX records the risk you planned on every trade, so you can see your actual risk-per-trade distribution rather than the one you believe you follow. Because pre-trade planning captures the entry and stop up front, the journal knows what 1R was meant to be and can flag the trades where the realized loss ran past it.

You can build a Gameplan with your risk rule written into it, then review how often you stayed inside it, filter to the trades where you did not and see what those cost, and watch your [equity curve](/glossary/equity-curve) and [maximum drawdown](/glossary/drawdown) respond. Consistency in risk is the habit that makes every other metric in the journal mean something, and it is one of the few things you can measure objectively every single day.