Skip to content

Risk Management·Position Sizing & The Risk-Per-Trade Rule

The 1–2% Rule

8 min read

The Industry Standard That Professionals Live By

The 1-2% rule states: never risk more than 1-2% of your total trading account on any single trade. This is not a suggestion from a textbook — it is the actual risk parameter used by hedge funds, proprietary trading firms, and professional money managers worldwide. It has survived decades of market history because the math behind it is unbreakable.

The rule is elegant in its simplicity: if you never risk more than 2% of your account on a single trade, you can lose 34 trades in a row before losing half your capital. At 1% risk, you can absorb 69 consecutive losses. No legitimate strategy produces that kind of losing streak — which means, mathematically, a properly sized account using a positive-expectancy strategy cannot go to zero.

Concept

Risk of ruin · 100 trades · win rate × risk per trade

RISK OF RUIN · 100 trades risk per trade 99%95%88%70%52%95%80%60%35%18%82%50%30%12%4%55%25%12%4%1%22%6%2%<1%<1% 35% 45% 50% 55% 60% win rate 10% 5% 3% 2% 1% survival zone < 1% ruin 5–25% ruin > 50% ruin
Each cell is the probability of losing 50%+ of an account over 100 trades. Notice how the 1–2% row stays in the survival zone across all reasonable win rates — anything above 3% pulls you toward the danger zone fast.
Note

Where the rule comes from

The 1-2% rule originated in commodity futures trading in the 1980s and was popularized by Van Tharp and later by Alexander Elder in 'Trading for a Living.' It has been validated by decades of backtesting across every market. The precise percentage matters less than the discipline of having a fixed, small maximum risk per trade.

Account Size1% Risk2% RiskStop Distance (50 pips)Max Lot Size (1%)
$1,000$10$2050 pips0.02 lots (micro x2)
$5,000$50$10050 pips0.10 lots (mini)
$10,000$100$20050 pips0.20 lots
$25,000$250$50050 pips0.50 lots
$50,000$500$1,00050 pips1.00 lot (standard)
$100,000$1,000$2,00050 pips2.00 lots
Example

Scaling the rule to small accounts

A common objection: 'I only have $500. Risking 1% means $5 per trade — that's nothing.' This is actually the point. With a $500 account, you should be trading micro lots and treating every trade as practice for when your account is larger. If you cannot be disciplined with $5 risk, you will not be disciplined with $500 risk. The percentage stays the same; the habit is what you are building.

5000$
500$50000$

With a $5,000 account: 1% risk = $50 per trade, 2% risk = $100 per trade. With a 50-pip stop on EUR/USD, your max lot size at 1% = 1.00 mini lots.


Why Not Risk More? The Math Is Against You

Higher risk feels like it means faster gains. But the math of compounding losses makes recovery exponentially harder. A 20% loss requires a 25% gain to recover. A 50% loss requires a 100% gain. The asymmetry destroys traders who ignore it. This is not opinion — it is arithmetic.

Loss %Gain Needed to RecoverAt 5% Monthly Return, Months to Recover
5%5.3%~1 month
10%11.1%~2 months
20%25.0%~5 months
30%42.9%~8 months
40%66.7%~11 months
50%100.0%~15 months
60%150.0%~20 months
75%300.0%~29 months
90%900.0%~50+ months — effectively unrecoverable
Heads up

The LTCM lesson

Long-Term Capital Management was a hedge fund founded by Nobel Prize-winning economists. They used mathematical models to find tiny market inefficiencies — and leveraged massively to extract returns. In 1998, a series of unexpected market events caused their positions to move against them. Their fund lost $4.6 billion and required a $3.6 billion Federal Reserve-organized bailout to prevent systemic financial collapse. Brilliant strategy, catastrophic sizing.

Definition

Kelly Criterion

A mathematical formula for calculating the theoretically optimal position size based on your win rate and average win/loss ratio. Formula: Kelly % = W - [(1-W)/R], where W = win rate and R = win/loss ratio. For a trader with a 55% win rate and 1:1.5 RR, Kelly = 0.55 - (0.45/1.5) = 0.25 = 25%. In practice, traders use 'half-Kelly' (12.5%) or 'quarter-Kelly' (6.25%) because full Kelly is too volatile for most people to tolerate psychologically.

Definition

Fixed Fractional Position Sizing

The method of risking a fixed percentage of your current account balance on every trade. As the account grows, the dollar risk per trade grows proportionally. As the account shrinks, the dollar risk per trade shrinks automatically. This creates a natural mechanism that protects against ruin while allowing geometric growth.


Adjusting Risk Based on Experience and Confidence

The 1-2% range is not one-size-fits-all. Where you fall within that range should depend on your experience level, the quality of the setup, and your current drawdown status.

ScenarioRecommended Risk %Reasoning
New strategy being tested0.25 – 0.50%Prove the edge before sizing up
Experienced trader, A+ setup1.5 – 2.0%High confidence, proven pattern
Standard setup, proven strategy1.0%Bread-and-butter trades
Currently in 10%+ drawdown0.5%Reduce size until drawdown recovers
First month of live trading0.25 – 0.50%Focus on execution, not P&L
Tip

Where to start

If you are newer to trading or testing a new strategy, start at 0.5% risk per trade. Only move to 1-2% once you have documented evidence — from a journal or paper trading — that your strategy has a positive expectancy over at least 50 trades. This is not conservatism; it is professionalism.

1%
0.5%5%

Risking 1% on a $10,000 account = $100 per trade. It would take approximately 69 consecutive losses to lose 50% of your account.

Knowledge check

What is the maximum recommended risk per trade for most professional traders?

Knowledge check

Why do many experienced traders use 'half-Kelly' instead of full Kelly Criterion sizing?