Ruin is a distribution problem
A single “risk of ruin %” hides how bad drawdowns cluster. Monte Carlo on your trade statistics shows a range of outcomes — including paths worse than your recent experience.
The Final Tape
Risk of ruin is the probability that a trading account hits a loss threshold (often total loss or max drawdown limit) before reaching a target, given your win rate, payoff ratio, and risk per trade. It is a survival question — not a single trade outcome.
Understand survival rates and drawdown tails before you increase size — simulated from your win rate, payoff, and streak structure.
Traders sizing up after a good month who want evidence on tail risk, and risk managers who need distribution-aware answers — not a single ruin probability from a textbook table.
A single “risk of ruin %” hides how bad drawdowns cluster. Monte Carlo on your trade statistics shows a range of outcomes — including paths worse than your recent experience.
Independent-trade assumptions lie. Your journal captures serial correlation in outcomes through empirical win rate and payoff — simulations reflect your actual streak behavior better than naive formulas.
Model adverse win-rate shifts, sizing changes, and horizon extensions in scenario tools. See if your plan survives bad luck — not just average luck.
Drawdown analysis and Kelly modules use the same portfolio scope. Risk of ruin thinking feeds directly into how much you risk per trade.
As you log new completed trades, inputs refresh. Risk views stay tied to present edge — critical after strategy or regime changes.
Suppose 50% win rate, 1:1 payoff, risking 2% per trade. Textbook independent-trade models give a ruin probability; real journals add streaks — Monte Carlo on your tape may show worse 95th-percentile drawdowns than the formula suggests.
A 15% ruin estimate does not mean you lose 15% of trades — it means 15% of simulated paths breach your ruin threshold. For prop and personal accounts, compare that to your max allowable drawdown policy.
Using win rate from the last 20 trades only. Assuming independence when your strategy clusters losses. Sizing up after one green month without re-simulating.
These product modules run on your completed trades, one canonical tape, no spreadsheet re-entry.
Monte Carlo emphasizes distributions: drawdown depth, duration, and path variety — not a single number divorced from your data.
Yes. Create a free account to inspect a fully populated, read-only environment. Every major module is visible — no credit card required. Upgrade when you are ready to journal your own trades.
No. The Final Tape is a performance operating system for review, analytics, and simulation. You log or import completed trades; the platform does not connect to brokers for execution.
Web calculators use inputs you type once. The Final Tape pulls from completed trades and keeps modules aligned on the same statistics.
Yes — adjust risk parameters and scenarios inside Monte Carlo to see how survival and drawdown change before you trade live.
Last updated: 2026-06-01