Risk of Ruin
A positive edge tells you the game is worth playing; risk of ruin tells you whether you'll still be at the table when it finally pays.
The math of survival — risk of ruin, expectancy and the per-trade edge, R-multiples, the classic risk-of-ruin formula, drawdown depth and duration distributions, sequence-of-returns risk, Monte Carlo ruin curves, and stop-loss position sizing — so a positive-expectancy system survives long enough to pay off.
Compounding only rewards the accounts that are still open. A system with a genuine edge and a beautiful long-run growth rate is worthless to a trader who gets wiped out in month three — because here’s the uncomfortable truth that organizes everything: a positive expectancy does not protect you from ruin. Edge tells you the game is worth playing; risk of ruin tells you whether you’ll still be at the table when the edge finally shows up.
This course climbs the survival ladder in six rungs:
- What ruin actually is — the absorbing barrier (an account too small to keep trading), the classic gambler’s ruin result that even a fair game bankrupts a finite purse, and the paradox that a winning system can still ruin you.
- Expectancy and the edge — the per-trade engine, expectancy = (average win × win rate) − (average loss × loss rate), and the win-rate-vs-payoff-ratio trade-off that lets a system win 35% of the time and still print money.
- R-multiples — the elegant bookkeeping that normalizes every trade to a single unit of risk.
- The classic risk-of-ruin formula — how edge, odds, and the number of units of risk in your bankroll combine into a survival probability that falls exponentially in your capital, with fully worked examples.
- Drawdown distributions — depth, duration, and the dreaded time under water treated not as single numbers but as random variables; the same system run twice gives two very different worst-cases.
- Sequencing risk — without cashflows the order of returns is irrelevant, but add withdrawals and order becomes destiny: a crash in retirement year one ruins you, the same crash in year fifteen barely registers.
- Monte Carlo ruin curves and stops — estimating ruin by brute force, plotting ruin against risk-per-trade, and the stop-loss arithmetic that turns a risk budget into an exact position size.
Master this and you’ll have the survival half of the quant toolkit that Kelly and Monte Carlo only hinted at — sizing positions so a bad month is a flesh wound, not a funeral. A graded final exam closes the loop, because the trader who survives longest, not the one who bets biggest, is the one who gets to compound.
In this topic
- 1 What Risk of Ruin Is Ruin as an absorbing barrier, the gambler's ruin result that a fair game still bankrupts a finite purse, and the central paradox that a positive-expectancy system can still wipe you out. 10 min
- 2 Expectancy & the Edge The per-trade engine: expectancy = avg win × win rate − avg loss × loss rate, R-multiples that normalize every trade to one unit of risk, and the win-rate-versus-payoff-ratio trade-off. 11 min
- 3 The Risk-of-Ruin Formula The classic risk-of-ruin formula: edge, odds, and units of risk; why ruin falls exponentially in the units of capital you hold; and several worked derivations and examples. 12 min
- 4 Drawdown Distributions Drawdown depth and duration as random variables, the distribution of maximum drawdown, time under water, and why the same system run twice gives two very different worst-cases. 11 min
- 5 Sequencing Risk Why the order of returns is irrelevant with no cashflows but becomes destiny once you add withdrawals or contributions — sequence-of-returns risk, the same returns in different paths, and retirement sequence risk. 11 min
- 6 Monte Carlo Ruin Curves & Stops Estimating ruin probability by simulation, plotting ruin curves against risk-per-trade, and the stop-loss arithmetic that turns a risk budget into an exact position size. 12 min
- 7 Risk of Ruin — Final Exam The graded final exam for Risk of Ruin: absorbing barriers and gambler's ruin, expectancy and R-multiples, the risk-of-ruin formula and units of capital, drawdown distributions and time under water, sequence-of-returns risk, and Monte Carlo ruin curves with stop-loss sizing. 16 min
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