Risk of Ruin Calculator โ€“ Trading Account Survival Probability

Calculate the statistical probability of blowing your trading account based on win rate, risk-reward ratio, and risk per trade. Powered by 100,000 Monte Carlo simulation paths.

Monte Carlo Risk Analysis

Risk of peak-to-valley drawdown
6.515%
Risk of ruin
0.460%
LIVE SIMULATION: 100,000 PATHS
About This Simulation
Monte Carlo Method
๐ŸŽฒ
100,000 random paths

Each path simulates your exact strategy parameters across the number of trades you set โ€” with fully randomised win/loss sequences.

๐Ÿ“‰
Two drawdown measures

Peak-to-valley measures loss from any equity high. Risk of ruin measures loss from your starting balance. Prop firms typically use peak-to-valley.

๐Ÿ”
Updates live as you type

The simulation reruns instantly when you change any input โ€” no button press needed. Results reflect your exact current parameters.

โš ๏ธ
Interpretation guide

Below 5% = acceptable. 5%โ€“20% = caution. Above 20% = reduce position size or improve edge before trading live.

Risk Level Guide
Reading your results
< 5%Very Safe
5โ€“15%Acceptable
15โ€“30%High Risk
> 30%Danger Zone

What Is Risk of Ruin in Trading?

Risk of ruin is the statistical probability that a trader will lose a predefined portion of their account โ€” or wipe it out entirely โ€” within a given number of trades, based on their win rate, risk-reward ratio, and position sizing. It is one of the most important yet underused metrics in professional trading and prop firm risk management.

Even a strategy with a positive expected value can carry a dangerously high ruin probability if position sizing is too aggressive. The classical approximation formula is:

Risk of Ruin โ‰ˆ ((1 โˆ’ Edge) รท (1 + Edge)) ^ (Target Drawdown รท Risk per Trade)

Where Edge = (Win Rate ร— Avg Win) โˆ’ (Loss Rate ร— Avg Loss). This formula gives a useful approximation, but assumes fixed trade outcomes. Real trading has variance โ€” consecutive losses cluster more than random theory predicts.

This is why this calculator runs 100,000 Monte Carlo simulation paths: to model the actual distribution of trade sequences and return a realistic probability, not a theoretical estimate. Every time you change an input, the simulation reruns live.

Risk of Ruin by Position Size โ€” Why 1% Risk Changes Everything

Position size is the single most controllable variable in trading risk management. The table below shows how dramatically ruin probability increases as risk per trade rises โ€” modelled on a 50% win rate, 1:2 risk-reward, over 200 trades with a 20% max drawdown threshold. These figures are representative of Monte Carlo simulation output โ€” use the calculator above for your exact parameters.

Risk per TradeApprox. Ruin ProbabilityAssessmentRecommendation
0.5%~1%Very SafeIdeal for prop firm challenges
1%~4%SafeStandard for professional traders
2%~15%Moderate RiskAcceptable with proven edge
3%~30%High RiskReduce before going live
5%~55%DangerousLikely to fail over 200 trades
10%~85%+Near Certain RuinNot viable for funded accounts

* Approximate values based on Monte Carlo simulation with the parameters noted above. Use the calculator above with your exact win rate and R:R for precise results.

Win Rate vs Risk-Reward โ€” The Minimum Edge Needed to Survive

Win rate alone does not determine ruin probability or profitability โ€” it must be evaluated against your reward-to-risk ratio. A 40% win rate with a 1:2 R:R is more profitable and has lower ruin risk than a 60% win rate with a 1:0.5 R:R. The table below shows the minimum win rate required to break even at each R:R level.

Risk:Reward RatioMin Win Rate to Break EvenWhat It Means
1:150%5 wins, 5 losses = breakeven โ€” no margin for error
1:1.540%4 wins out of 10 = breakeven with small edge
1:233.3%Only 1 in 3 trades needs to win โ€” sustainable edge
1:325%1 win offsets 3 losses โ€” excellent R:R structure
1:420%1 win offsets 4 losses โ€” rare but very powerful
Key insight: Improving your R:R from 1:1 to 1:2 reduces the win rate you need to survive from 50% to 33% โ€” this alone can take a losing strategy and make it profitable without changing your setups at all.

Integrate This Risk of Ruin Calculator into Your Website

This Monte Carlo-powered risk of ruin calculator is available as a free embeddable tool for prop firm review sites, forex education blogs, trading course platforms, and risk management content publishers. It is one of the most technically advanced free trading tools available โ€” running 100,000 simulation paths live in the browser with no server required.

๐Ÿ†

Highest-value prop firm tool

Prop firm traders are the primary audience for risk of ruin calculators. They need to verify their strategy parameters won't breach daily or maximum drawdown limits before going live. Embedding this on prop firm comparison or challenge guide pages delivers exactly what that audience is searching for.

๐Ÿ“Š

Targets advanced trading queries

Searches like 'risk of ruin calculator trading', 'Monte Carlo simulation forex', and 'probability of blowing trading account' attract high-intent, technically sophisticated traders โ€” an audience with strong engagement signals and high affiliate conversion rates.

โš™๏ธ

Live simulation โ€” no server needed

100,000 Monte Carlo paths run entirely in the user's browser using JavaScript. Results update live as inputs change. No API calls, no loading states, no backend โ€” just instant, accurate simulation that works on any website or CMS.

๐ŸŽ“

Completes a risk management toolkit

Pairs naturally with the Position Size Calculator, Drawdown Calculator, and Compound Profit Calculator. Together they form a complete pre-trade risk management workflow โ€” making your site a go-to resource for serious traders who use tools before placing trades.

To request embedding or white-label access for your website, contact the DeepTradeIQ team via the DeepTradeIQ website. Custom default values, simulation parameters, and branding are available for qualified partners.

Frequently Asked Questions

What is risk of ruin in trading?

Risk of ruin is the probability that a trader will lose a set percentage of their account within a defined number of trades, given their win rate, reward-to-risk ratio, and position size. Even profitable strategies with positive expected value can carry high ruin risk if position sizing is too aggressive. The lower your risk per trade and the stronger your edge, the lower your ruin probability.

What is a Monte Carlo simulation in trading?

A Monte Carlo simulation runs thousands of randomised trade sequences using your strategy parameters to estimate the distribution of possible outcomes. Instead of assuming trades happen in a fixed, predictable order, it models the actual randomness of markets โ€” giving you a realistic probability of hitting your drawdown limit across 100,000 different trade sequence scenarios.

How do I reduce my risk of ruin?

The most effective methods are: (1) reduce risk per trade to 1โ€“2% โ€” this single change has the largest impact, (2) improve your reward-to-risk ratio to 1:2 or better, (3) refine your strategy to improve win rate through better entry criteria, and (4) set a hard maximum drawdown limit and stop trading once it is hit for the day or week.

What is the difference between risk of ruin and peak-to-valley drawdown risk?

Risk of ruin measures the probability of your account falling X% below the starting balance. Peak-to-valley drawdown measures the probability of falling X% from any equity high your account reaches โ€” including profits. Peak-to-valley is the stricter measure and is the one most prop firms use to define their maximum drawdown limits.

What ruin probability is acceptable for prop firm trading?

Most professional traders and prop firm risk frameworks consider below 5% ruin probability acceptable over the challenge or evaluation period. At 1% risk per trade with a 1:2 R:R and 50% win rate, ruin probability over 100 trades is typically under 5%. If the calculator shows above 10%, reduce your risk per trade before trading the funded account.