Commodities course · Section 6: Pro: Portfolio, Risk and Your Trading Plan
Risk of Ruin and Drawdowns: The Maths That Keeps Traders Alive
Understand risk of ruin, losing streaks and drawdown recovery with real calculations, and choose a risk per trade that survives bad luck.
Pro6 min read·6:11 video·Lesson 24 of 26·quiz: 4 questions
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Risk of ruin is the probability that a run of losses takes your account down to a level from which you cannot, or will not, keep trading. It depends on your win rate, your average win compared with your average loss and, above all, on how much you risk per trade. Even a strategy with a genuine edge can be ruined by betting too large, because long losing streaks are normal, not rare.
Expectancy: do you have an edge at all?
Measure results in R, the amount you planned to risk on a trade. A trade that loses its full planned risk is -1R; a trade that makes twice the planned risk is +2R.
Expectancy = (win rate x average win) - (loss rate x average loss)
Example
A trend system wins 40% of trades, with an average win of 2R and an average loss of 1R. Expectancy = 0.40 x 2 - 0.60 x 1 = 0.80 - 0.60 = +0.2R per trade. Over 100 trades risking $100 each, that is an expected profit of about $2,000 before the luck of the sequence.
A positive expectancy is necessary but not sufficient. How you size the bets decides whether you survive long enough to collect it.
Losing streaks are normal
With a 40% win rate, each trade has a 60% chance of losing. The probability of 10 losses in a row starting at any one point is 0.6 to the power of 10, about 0.6%, which sounds tiny. But over hundreds of trades there are hundreds of starting points. Calculated exactly, for a 40% win rate:
| Losing streak of at least... | Chance over 100 trades | Chance over 200 trades | Chance over 500 trades |
|---|---|---|---|
| 6 losses | about 87% | about 98% | almost certain |
| 8 losses | about 49% | about 75% | about 97% |
| 10 losses | about 21% | about 38% | about 71% |
| 12 losses | about 8% | about 15% | about 35% |
A trend follower who trades for a few years should expect a streak of 8 or more losses and should not be surprised by 10 or 12.
How streaks damage different risk sizes
Losses compound. After each loss you risk a percentage of a smaller account, but the damage still builds quickly:
| Risk per trade | Account left after 10 straight losses | Drawdown |
|---|---|---|
| 1% | 0.99^10 = 90.4% | -9.6% |
| 2% | 0.98^10 = 81.7% | -18.3% |
| 5% | 0.95^10 = 59.9% | -40.1% |
| 10% | 0.90^10 = 34.9% | -65.1% |
Drawdown arithmetic
The deeper the hole, the harder the climb out:
| Loss | Gain needed to recover |
|---|---|
| 10% | 11.1% |
| 20% | 25.0% |
| 30% | 42.9% |
| 50% | 100% |
| 75% | 300% |
A strategy that earns, say, 10% in a good year needs many good years to repair a 50% loss. Avoiding deep drawdowns matters more than squeezing out extra return.
Risk of ruin, simulated
To see the effect of bet size, we can simulate the example system (40% win rate, +2R wins, -1R losses) many times. In a simulation of 5,000 runs of 500 trades each:
| Risk per trade | Runs with a 50% drawdown from a peak | Runs that fell to half of starting capital |
|---|---|---|
| 0.5% | none | none |
| 1% | none | none |
| 2% | about 2% | almost none |
| 5% | about 84% | about 12% |
| 10% | all of them | about 48% |
The edge is identical in every row; only the bet size changes. At 1% per trade, a 50% drawdown never happened in this simulation. At 5%, most runs suffered one, even though the system makes money on average. Real trading is harsher than this simple model: win rates drift, costs vary, gaps exceed stops and positions in correlated markets lose together.
Kelly sizing and why professionals bet less
The Kelly criterion gives the bet size that maximises long-run growth if you know your edge exactly:
Kelly fraction = W - (1 - W) / R, where W is the win rate and R is the average win divided by the average loss.
Example
W = 0.40 and R = 2. Kelly = 0.40 - 0.60 / 2 = 0.40 - 0.30 = 0.10, or 10% per trade. The simulation above shows what 10% per trade does to drawdowns.
In practice nobody knows their true edge; it is estimated from a backtest that is probably optimistic. Overestimating your edge with Kelly sizing is very costly. Many traders use a quarter or less of the Kelly fraction, and the Turtle rules sized each unit at about 1% of equity per unit of volatility, as described in the trend-following lesson.
Personal ruin comes before mathematical ruin
Most traders do not wait for their account to reach zero. They stop after a drawdown that hurts too much, often at the worst time. Other forms of ruin arrive sooner:
- Margin calls and broker liquidation at the low point.
- Correlated losses: five positions at 1% each in related markets can behave like a single 5% bet, as the diversification lesson explains.
- Gaps and limit moves that make a 1% planned loss into a 3% actual loss.
Define your personal ruin level honestly, for example "I would stop trading after a 30% drawdown", and size so that reaching it is very unlikely.
Setting your limits
A starting framework (adjust after your own testing):
- Risk per trade: 0.25% to 1% of equity.
- Total open risk: 4% to 6% of equity.
- Drawdown circuit breakers: at -10% from the equity peak, halve position risk; at -20%, stop opening new trades and review the system against its backtest.
- Recovery rule: return to normal size only after a set recovery, for example half the drawdown regained.
Risk
These numbers are guidelines, not a guarantee. Any strategy can have a worse streak than its history shows. The purpose of small risk is to make sure that when the bad streak comes, you are still in the game.
Key takeaways
- Risk of ruin is the chance that losses take your account to a level from which you cannot or will not continue.
- With a 40% win rate, a run of 8 losses in a row is more likely than not over 200 trades.
- Losses compound against you: a 50% drawdown needs a 100% gain to recover.
- Expectancy = win rate x average win - loss rate x average loss; a positive edge can still be ruined by oversized bets.
- Full Kelly sizing is far too aggressive in practice because your true edge is uncertain; use a small fraction of it or less.
Quiz: check what you learned
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