Prerequisites: Dead Reckoning · Episode 16 — The Doldrums · 18 min read
In Episode 16, the Captain hit the doldrums — six months of flat returns followed by a 28% drawdown. He questioned his system. He questioned himself. The Drawdown Compass would have shown him: given his 52% win rate and 1.2:1 ratio, a 28% drawdown occurs in 23% of Monte Carlo paths. Not common. Not impossible. The compass points to patience, not panic.
THE MEASUREMENT
Drawdown is peak-to-trough decline in equity. But not all drawdowns mean the same thing. A 30% drawdown with a 60% win rate and 2:1 reward ratio is a squall you sail through. The same drawdown with 45% win rate and 1:1 ratio is a leak that sinks ships.
The Drawdown Compass uses Monte Carlo simulation — 1,000 randomized equity curves with your system's parameters — to tell you whether your current drawdown is statistically expected or a signal that your edge has vanished.
THE DERIVATION
Step 1: Probability of N Consecutive Losses
Before simulation, know the theoretical bound. The probability of experiencing N consecutive losses is:
Step 2: Expected Maximum Drawdown
For a system with known edge, the theoretical expected maximum drawdown over T trades is approximated by:
Step 3: Monte Carlo Simulation
The Compass generates 1,000 equity curves. Each curve flips a biased coin (your win rate) and assigns a random outcome from your win/loss distribution. The result is a distribution of maximum drawdowns — not a single number, but a probability landscape.
Generate Trade Sequence
For each of 1,000 simulations, generate T trades. Win with probability W. Wins return a random value from your win distribution. Losses return a random value from your loss distribution.
Compute Equity Curve
Start with account A. After each trade, update equity. Track the running peak. Drawdown at any point = (Peak − Current) / Peak.
Extract Distribution
Record the maximum drawdown from each simulation. Sort all 1,000 max drawdowns. The 50th percentile is the median expected drawdown. The 95th percentile is the worst-case you should plan for.
WORKED EXAMPLE
Captain Vance has a $100,000 account, 50% win rate, $300 average win, $200 average loss, risking 2% per trade. He runs 1,000 simulations over 200 trades:
Single Trade Outcome
At 2% risk, avg win = $2,000 (2% × $100K × 1.5R). Avg loss = $2,000. Expectancy per trade = $0. The system is breakeven. The Compass will show high drawdown probability.
With Positive Edge
Same system but avg win = $400 (2:1 ratio). Expectancy = +$400 per trade. Median max drawdown across 1,000 sims = 14%. 95th percentile = 28%. A 30% drawdown is rare but possible. A 40% drawdown signals the edge may be broken.
THE INTERACTIVE CHRONOMETER
Run your own Monte Carlo. Enter system parameters and simulate 1,000 equity curves.
INTERPRETATION
| Drawdown Level | Interpretation | Action |
|---|---|---|
| Below median | Normal operation. Expected turbulence. | Continue system. Log the data. |
| Median to 75th %ile | Above average but within normal distribution. | Review position sizing. No system changes. |
| 75th to 95th %ile | Stress territory. Uncommon but not impossible. | Reduce size 25-50%. Verify edge has not degraded. |
| Above 95th %ile | Statistically anomalous. The compass is broken or the map has changed. | Halt trading. Revalidate entire system. |
From the Logs
In Episode 12 — The Last Voyage, the Captain abandoned a proven system after a 22% drawdown. He never computed that his system's 95th percentile drawdown was 24%. He quit one simulation away from the bound. The Compass would have told him: stay the course. The leak was in his resolve, not his math.
Related Guides
Ballast Management
Position sizing and cash allocation. The strategic layer beneath the Compass's statistical tests.
The Astrolabe
Expectancy and win rate math. The inputs that feed the Drawdown Compass.
The Load Line
Risk of Ruin. Know the probability of catastrophic loss before you reach drawdown.
Dead Reckoning
Track your fleet's true performance. Journaling and attribution for the data that feeds the Compass.