Risk of RuinRoR

Risk of ruin is the probability that losses shrink an account to a point where you can no longer trade your plan; it rises quickly with larger risk per trade.

A strategy can have a genuine edge and still destroy an account. If the bets are too large, an ordinary run of bad luck can take the account below the point where trading can continue — and there is no coming back from zero. Risk of ruin is the probability of that happening. It depends on three things: the edge, the size of each bet, and how far down counts as “ruined”. This entry explains the idea, shows how quickly it grows with bet size, and gives the practical rules that keep it low.

Category
Risk Management
Reading time
5 min
Also called
Probability of ruin, Gambler's ruin, Ruin probability
Updated

Risk of ruin in plain words

Imagine flipping a slightly favourable coin. If you bet 1% of your money each time, you would need an absurd losing streak to go broke.1 If you bet 25% each time, four or five bad flips in a row can end the game — even though the coin favours you.

“Ruin” does not have to mean zero. Many traders define it as a drawdown they could not recover from emotionally or financially, such as −50%. See Drawdown.

How to keep risk of ruin low, step by step

  1. Define ruin

    Pick the drawdown at which you would stop trading the plan — for example −30% or −50%.

  2. Know your edge

    Win rate and average win and loss, from enough trades. See Expectancy.

  3. Choose risk per trade

    The single biggest lever. Smaller fractions shrink risk of ruin dramatically. See Risk per Trade.

  4. Count streaks

    Estimate how many losses in a row your ruin level allows; compare with how often such streaks happen.2

  5. Simulate

    Reshuffling your historical trades many times (Monte Carlo) shows the range of possible drawdowns. See Backtesting.

  6. Cut size in drawdowns

    Risking a fixed percentage of the current account automatically shrinks bets as the account falls.

Worked examples

Example 1 — Losses to a −50% drawdown

Streaks

How many consecutive losses take an account down 50%, risking a fixed share of the current balance each time?

Example 1 — Losses to a −50% drawdown — calculation
1% per trade≈ 69 losses in a row
2% per trade≈ 35 losses in a row
5% per trade≈ 14 losses in a row
10% per trade≈ 7 losses in a row

Seven losses in a row is common for many strategies; sixty-nine is practically impossible with any real edge. Bet size decides which world you live in.

Example 2 — How often streaks happen

Probability

A strategy wins 40% of trades. What is the chance that a given run of 8 trades contains no winner?

Example 2 — How often streaks happen — calculation
0.6⁸≈ 1.7%
Over 500 tradesAn 8-loss streak is very likely to occur at some point

Rare-looking streaks become near-certain over hundreds of trades. Size for the streaks you will meet, not the ones you hope to avoid.

Example 3 — The same edge, two sizes

Over-betting

Two traders use the same system with positive expectancy. One risks 1%, the other 8%. Both hit a 10-trade losing streak in month three.

Example 3 — The same edge, two sizes — calculation
1% trader≈ −9.6%, keeps trading
8% trader≈ −56.6%, past the ruin level

Same edge, same luck — different outcome. Over-betting turns a winning system into a losing account.

Figure 1

The same losing streak at different risk levels

Account value through 15 losses in a rowStarting from 100, fifteen consecutive losses leave about 86 at 1% risk per trade, about 74 at 2%, and about 46 at 5%. The higher the risk per trade, the deeper the same losing streak cuts.1008060401% per trade: 862% per trade: 745% per trade: 46startafter 15 losses
Fifteen losses in a row leave about 86% of the account at 1% risk, 74% at 2%, and 46% at 5%.

What drives risk of ruin

AspectLowers risk of ruinRaises risk of ruin
Bet sizeSmall fixed fractionLarge or increasing bets
EdgePositive, well-tested expectancyZero or negative expectancy
Win rateHigher, with steady payoffsLow, with rare large wins (at large size)
BehaviourCutting size in drawdownsRaising size to recover losses

Why traders think about ruin

  • Choosing risk per trade

    Sizing so that realistic losing streaks are survivable.

  • Evaluating leverage

    Leverage raises effective bet size and with it the risk of ruin. See Leverage.

  • Prop-firm rules

    Maximum drawdown limits are a hard “ruin” level; sizing must respect them.

  • Long-term survival

    Staying in the game is a precondition for any edge to pay off.

Advantages and disadvantages

Advantages

  • Puts the focus on survival, not just returns.
  • Gives a clear reason to keep bet size small.
  • Can be estimated from journal or backtest data.

Disadvantages

  • Formulas assume a stable edge, which markets rarely provide.
  • Gaps and slippage can make losses larger than planned.
  • Depends on the chosen definition of ruin.
  • Estimates are sensitive to small changes in win rate.

Going deeper

Read as far as you need. Each level builds on the one before it.

Negative expectancy guarantees ruin eventually

Beginner

If the average trade loses money, no sizing method avoids eventual ruin; small bets only make it slower.

Losses in a row to a given drawdown

Intermediate

With fixed-fraction risk r, the number of consecutive losses to a drawdown D is ln(1 − D) ÷ ln(1 − r). At r = 2% and D = 50%, that is about 34.3 — so 35 losses take you past −50%.

Monte Carlo estimates

Advanced

Rather than closed-form formulas, many traders resample their real trade results thousands of times, in random order and at a chosen risk per trade, and count how often the account hits the ruin level. It captures the shape of real wins and losses better than simple formulas.

Common mistakes

  1. Believing an edge makes you safe

    Over-betting can ruin a positive-expectancy strategy.

  2. Increasing size after losses

    The fastest route to ruin. See Loss Chasing.

  3. Ignoring correlated positions

    Several positions in one theme act like one large bet. See Risk Stacking.

  4. Using too few trades to estimate the edge

    An overestimated edge leads to oversized bets.

Check your understanding

Test yourself before moving on. Each answer comes with an explanation.

Q1At 5% risk per trade, roughly how many losses in a row cut the account by half?
Q2Which change reduces risk of ruin the most for a given strategy?

Key points to remember

  1. Risk of ruin is the chance of falling to a drawdown you cannot recover from.
  2. It depends on edge, bet size and your definition of ruin.
  3. Bet size is the biggest lever: small fixed fractions keep it tiny.
  4. Long losing streaks are almost certain over many trades.
  5. Negative expectancy leads to ruin regardless of sizing.

Frequently asked questions

What is an acceptable risk of ruin?

As close to zero as possible. Most professional guidance keeps risk per trade small enough that ruin would require an extraordinarily unlikely losing streak.

Is risk of ruin the same as maximum drawdown?

No. Maximum drawdown is what happened; risk of ruin is the probability of reaching a chosen drawdown in the future.

Can I calculate risk of ruin exactly?

Only under simplified assumptions. Monte Carlo simulation of your own results gives a more realistic estimate.

Further learning

Sources

This article is written in our own words. The sources below support the specific facts, rules and figures marked with a number in the text. Links open the original publisher’s page.

  1. CME Group. The 2% Rule (opens in a new tab) Checked .
  2. CME Group. Controlling Risk (opens in a new tab) Checked .

Educational content, not financial advice. Examples use hypothetical prices and simplified costs; actual fees, margin rules and regulations vary by broker, market and country. We are not affiliated with any publisher linked above. Last reviewed . Report an error or request a source credit.