Prerequisites: Ballast Management · Episode 6 — The Ballast Run · 18 min read

In Episode 6, Mike ran the ballast hard into biotech options. He knew his position size. He knew his stop. What he did not know was the probability that a string of losses would sink him before the tide turned. The Load Line would have shown him: at 35% win rate and 2:1 reward, his risk of ruin at 2% per trade was 12%. Not negligible. Not safe.

THE MEASUREMENT

Risk of ruin is the probability that a trader loses enough capital to be unable to continue trading. It is not the same as drawdown. Drawdown is what happened. Risk of ruin is what could happen — and the math that predicts it.

The Kelly Criterion tells you the optimal fraction of capital to risk on each trade. Most captains sail at Half Kelly: enough thrust to grow, enough margin to survive the squalls.

THE DERIVATION

Step 1: The Kelly Criterion

Developed by John Kelly at Bell Labs in 1956, the criterion maximizes the expected logarithm of wealth. For a trading system with known win rate and payoff ratio, the optimal bet size is:

Kelly Criterion
f* = (W × b − L) / b = W − (L / b)
Where W = win rate, L = loss rate (1 − W), b = average win / average loss (payoff ratio). f* is the fraction of capital to risk per trade.
1

Why Half Kelly?

Full Kelly is optimal for growth but brutal in drawdown. A 50% Kelly fraction reduces volatility by 50% while retaining 75% of growth. Most professional traders use Quarter to Half Kelly.

Step 2: Risk of Ruin

For a fixed-fraction system with positive edge, the probability of losing a fraction U of capital is:

Risk of Ruin (Simplified)
R = ((1 − W) / (W × b))^(1 / f)
Where f = fraction of capital risked per trade. If edge ≤ 0 (W × b ≤ L), ruin is mathematically certain over time.
2

The Edge Condition

Before calculating ruin, verify edge = (W × b) − L > 0. If not, no position size is safe. The formula becomes undefined because the base exceeds 1, and ruin probability approaches 100% regardless of how small you trade.

Step 3: Maximum Consecutive Losses

Before ruin math matters, know how many consecutive losses your hull can absorb:

Max Consecutive Losses to Drawdown D
N = ln(D) / ln(1 − W)
Where D = drawdown fraction (e.g., 0.50 for 50%). W = win rate. This is the expected number of consecutive losses to reach drawdown D.

WORKED EXAMPLE

Captain Vance runs a $100,000 account with a swing system: 45% win rate, $400 average win, $200 average loss (b = 2.0). He risks 2% per trade.

Given
Account = $100,000 · Win rate = 45% · Avg win = $400 · Avg loss = $200 · Risk per trade = 2% · Payoff ratio b = 2.0
1

Kelly Fraction

f* = 0.45 − (0.55 / 2.0) = 0.45 − 0.275 = 0.175 (17.5%). Half Kelly = 8.75%. Vance's 2% risk is conservative — well below Half Kelly.

2

Risk of Ruin

Edge = (0.45 × 2.0) − 0.55 = 0.35 (positive). Base = 0.55 / (0.45 × 2.0) = 0.611. Exponent = 1 / 0.02 = 50. R = 0.611^50 = 0.0006%. At 2% risk, ruin is effectively zero.

3

At 5% Risk

Same system, but Vance sizes to 5% per trade. Exponent = 1 / 0.05 = 20. R = 0.611^20 = 0.13%. Still low, but 200× higher than at 2%.

4

At 10% Risk

Exponent = 10. R = 0.611^10 = 0.84%. Nearly 1 in 100 captains sink. The load line is breached.

THE INTERACTIVE CHRONOMETER

Enter your system parameters. The Load Line computes Kelly, ruin probability, and the maximum safe draft.

Kelly Fraction
—
of account per trade
Optimal Risk $
—
at selected Kelly mode
Risk of Ruin
—
probability of 50% loss
Expectancy / Trade
—
avg expected profit
Max Cons. Losses
—
to 50% drawdown
Edge
—
system edge ratio

INTERPRETATION

Risk of RuinInterpretationAction
< 0.01%SafeRuin is statistically negligible. The hull is sound.Standard sizing. Monitor for regime decay.
0.01% – 0.5%CautionLow but measurable. One in 200 captains sink.Reduce to Half Kelly or lower. Increase diversification.
0.5% – 5%DangerRuin is a real possibility over a career.Cut risk fraction immediately. Verify edge.
> 5%BreachThe load line is breached. Do not sail.Reduce size or fix the system. Edge may be negative.

From the Logs

In Episode 11 — Driftwood and Diamonds, Hannah bought Exxon at 0.8x book with 8% of her account. She understood value. She did not understand that a 40% win rate with 1.5:1 payoff requires 2% risk to keep ruin below 1%. At 8%, her ruin probability was 4%. She got lucky. The Load Line does not rely on luck.

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