Financial Calculators

✅ Trading Tools Discount Alerts

✅ Pro Analyst Trading Research & Tool Testing

✉ No Spam Guarantee ✉

Risk of Ruin Calculator: Estimate Trading Survival Risk

☆ Research You Can Trust ☆ IFTA Certified Technical Analyst ✔ 

Risk of ruin is the probability that a trading system will damage an account so badly that recovery becomes extremely difficult. In simple terms, it asks:

What is the chance that my strategy blows up my account, or comes close enough that I may never recover properly?

Risk of Ruin Calculator

Estimate the probability that your trading system will hit a damaging drawdown or effectively blow up the account based on win rate, reward-risk ratio, and risk per trade.

Survival Risk

Inputs

Your expected long-run win rate based on real trading data or a serious backtest.
Average reward divided by average risk. For example, enter 2 for a 1:2 setup.
The percentage of your account you risk on each trade.
The drawdown level you define as “ruin,” such as 50% account loss.
Used to translate the ruin threshold into a dollar figure.
The number of trades over which you want to estimate the chance of ruin.
Rule of thumb: risk of ruin usually rises fast when win rate is low, reward-risk is weak, or risk per trade is too large. Small position sizing often matters more than traders expect.

Results

Risk of Ruin Gauge
Low Moderate High Extreme
Capital at Risk View
Starting Capital Ruin Threshold
Risk of Ruin 0.00%
System Expectancy 0.00R
Break-Even Win Rate 0.00%
Win Rate Edge 0.00%
Ruin Threshold ($) $0.00
System Signal
Win Rate Used0.00%
Reward-Risk Used1:0.00
Risk Per Trade Used0.00%
Trade Window Used0
Account Size Used

Formula Used

Break-Even Win Rate = 1 ÷ (1 + Reward-Risk Ratio)
Expectancy in R = (Win Rate × Reward-Risk Ratio) − Loss Rate
Loss Rate = 1 − Win Rate
Approximate Risk of Ruin uses expectancy, risk per trade, ruin threshold, and trade count to estimate the probability of hitting the ruin level within the trade window.
This calculator is for educational purposes only. Risk of ruin is always an estimate, not a promise. Real results depend on sample size, changing market conditions, execution quality, slippage, and whether your system assumptions stay true.

This is one of the most important concepts in trading because many traders focus only on making money and forget to consider survival. But survival comes first. A strategy can have a good-looking setup on paper and still be dangerous if the account risk is too large, the win rate is too low, or the trader takes too many losses in a row.

That is why the Risk of Ruin Calculator is useful. It helps you estimate how dangerous a system may be based on your win rate, reward-risk ratio, risk per trade, and how much of the account you consider “ruined.”

How to Use the Risk of Ruin Calculator

This calculator helps you estimate the chance that your system reaches a damaging drawdown level within a set number of trades.

You enter:

  • Your win rate
  • your reward-risk ratio
  • Your risk per trade
  • your ruin threshold
  • your account size
  • Your trade sample window

The calculator then shows several outputs. These are useful only if you understand what they mean.

Risk of Ruin

This is the main output. It estimates the probability that your account reaches your chosen ruin threshold within the trade sample window.

For example, if you define ruin as a 50% drawdown, then the calculator estimates the chance of losing half the account within the number of trades you entered.

A lower number is better. A higher number means the system is putting survival at risk.

System Expectancy

This shows whether the system has a positive or negative edge in R terms.

If expectancy is positive, the strategy has favorable math over time. If the expectancy is negative, the strategy loses money on average, which usually substantially increases the risk of ruin.

Break-Even Win Rate

This tells you the minimum win rate required for the system not to lose money, based on the reward-risk ratio.

If your actual win rate is below this level, the system has a negative edge. If it is above it, the system has a positive edge.

Win Rate Edge

This compares your actual win rate with the break-even win rate.

For example, if your win rate is 45% and your break-even win rate is 33%, then your edge is +12%.

A positive edge is good. A negative edge is dangerous.

Ruin Threshold ($)

This converts your ruin level into a dollar amount.

If your account is $10,000 and your ruin threshold is 50%, then your ruin threshold is $5,000.

This makes the drawdown level feel more real.

How Risk of Ruin Works

Risk of ruin depends on a few key relationships. If you risk too much on each trade, a losing streak can destroy a large part of the account quickly.

If your strategy has a weak expectancy, even normal trading over time can slowly grind the account down. If your reward-risk ratio is strong and your win rate is high enough, the system has more room to survive short-term bad luck.

The main idea is simple:

  • Good edge lowers ruin risk
  • Large position sizing increases ruin risk
  • Small account risk helps survival
  • Large drawdowns are hard to recover from

This is why professional traders care so much about risk per trade. The easiest way to lower the risk of ruin is often not improving entries. It usually reduces account risk.

Risk of Ruin Formula

There is no single perfect formula for every market and every trading system. Risk of ruin is usually estimated from:

  • win rate
  • loss rate
  • reward-risk ratio
  • expectancy
  • risk per trade
  • the drawdown level you define as ruin
  • the number of trades considered

This calculator uses those inputs to estimate the chance of reaching the ruin threshold within the selected trade window.

A simple building block is the break-even win rate:

Break-Even Win Rate = 1 ÷ (1 + Reward-Risk Ratio)

Another key idea is expectancy in R:

Expectancy in R = (Win Rate × Reward-Risk Ratio) − Loss Rate

Where:

Loss Rate = 1 − Win Rate

These numbers help determine whether the system has an edge and how fragile it becomes once position sizing is added.

Example Calculation

Suppose your system has the following values:

  • Win rate = 45%
  • Reward-risk ratio = 1:2
  • Risk per trade = 1%
  • Ruin threshold = 50%
  • Account size = $10,000
  • Trade window = 100 trades

Step 1: Calculate break-even win rate

With a 1:2 reward-risk ratio:

Break-Even Win Rate = 1 ÷ (1 + 2) = 33.33%

That means the system must win more than 33.33% of the time to avoid losing money before costs are taken into account.

Step 2: Compare actual win rate

The system wins 45%, which is above the break-even level.

That gives a positive edge.

Step 3: Understand the ruin threshold

A 50% ruin threshold on a $10,000 account means:

$10,000 × 50% = $5,000

So in this example, “ruin” means losing half the account.

Step 4: Think about the practical meaning

If the system has positive expectancy and only risks 1% per trade, the risk of ruin will usually be much lower than if the same system risks 5% per trade.

That is the big lesson:
The same trading strategy can be safe or dangerous depending on position size.

Why Risk of Ruin Matters for Traders

Risk of ruin matters because many traders fail not because they never had an edge, but because they risked too much before the edge had time to work.

A positive system can still be destroyed by bad sizing.

For example, imagine two traders use the same strategy:

  • Both have the same 45% win rate
  • Both have the same 1:2 reward-risk ratio

But one trader risks 1% per trade, while the other risks 5% per trade.

The first trader can survive a losing streak much more easily. The second trader may quickly hit a huge drawdown, even though the system itself is not terrible.

This is why risk of ruin is such a powerful concept. It connects system quality with money management. It answers a deeper question than “Is this setup profitable?”

It asks:

Can I survive long enough for the edge to actually play out?

How Risk of Ruin Connects to Profitability

A beginner might assume that a profitable system automatically means a safe system.

That is not true.

A system can have positive expectancy and still carry dangerous ruin risk if the trader is too aggressive.

Example 1: Positive System, Low Risk Per Trade

Suppose a trader has:

  • 45% win rate
  • 1:2 reward-risk ratio
  • 1% risk per trade

This setup has a positive edge and relatively controlled account risk. Even if the trader suffers several losses in a row, the account drawdown may remain manageable.

Example 2: Same System, High Risk Per Trade

Now keep the same strategy, but raise the risk per trade to 5%.

The edge has not changed. But the chance of a severe drawdown becomes much higher because each loss now takes a much larger bite out of the account.

This is why profitability and survival are not the same thing.
A good system still needs good sizing.

What Is a Good/Bad Risk of Ruin Result?

A good result is a low risk of ruin. That means the system and sizing leave enough room to survive normal losing streaks.

Often Considered Low

Very low single-digit ruin probabilities are usually much more manageable.

Often Considered Moderate

Once the number rises to more meaningful percentages, traders should pay attention to whether the risk per trade is too aggressive.

Often Considered High

High ruin probabilities mean the trader may be risking too much, using a weak system, or both.

A bad result is not just a “high percentage.” It is a high percentage combined with a system that the trader still plans to trade aggressively.

Common Beginner Mistakes

One common mistake is assuming a positive win rate is enough. It is not. If the reward-risk ratio is poor, the system may still have a weak expectancy.

Another mistake is risking too much per trade. This is one of the fastest ways to turn a decent system into a dangerous one.

Many beginners also underestimate how hard it is to recover from a large drawdown. Losing 50% of the account does not require a 50% gain to recover. It requires a 100% gain. That is why large drawdowns matter so much.

Another mistake is choosing a ruin threshold that is too extreme, like 100%. Most traders are effectively ruined long before their accounts reach zero. A 40% to 60% drawdown is often already catastrophic for confidence, sizing, and recovery ability.

Why Position Size Is So Important

Position sizing is usually the most practical way to reduce the risk of ruin.

If you risk less per trade:

  • losing streaks hurt less
  • drawdowns stay smaller
  • The system has more time to recover
  • The account can survive normal bad periods

This is why many experienced traders focus so heavily on keeping risk small. It is not because they are pessimistic. It is because survival is the foundation of long-term trading success.

FAQ

What is the risk of ruin in trading?

Risk of ruin is the probability that a trading system will hit a drawdown level so severe that recovery becomes very difficult.

Does positive expectancy guarantee low risk of ruin?

No. A positive system can still have high ruin risk if the trader risks too much on each trade.

What is a ruin threshold?

A ruin threshold is the drawdown level you define as unacceptable, such as losing 50% of the account.

Why does risk per trade matter so much?

Because a higher risk per trade makes losing streaks much more damaging, raising the chance of severe drawdowns.

Is zero the only true ruin level?

No. In real trading, many traders are effectively ruined long before the account reaches zero because the drawdown becomes too large to recover practically or psychologically.

How can I reduce the risk of ruin?

Usually, by lowering position size, improving reward-to-risk, improving win rate, or reducing the number of bad low-quality trades you take.

Barry D. Moore CFTe
Barry D. Moore CFTe
With a wealth of experience spanning 25 years in stock investing and trading, Barry D. Moore (CFTe) is an author and Certified Financial Technician (Market Analyst) recognized by the International Federation of Technical Analysts (IFTA). Notably, he has also held executive positions in leading Silicon Valley corporations IBM Corp. and Hewlett Packard Inc.