Max drawdown is the largest peak-to-trough decline in a paper-trading equity curve. It helps you judge whether a simulated workflow, AI agent, or trading rule stayed inside the loss tolerance written before the test.
In paper trading, max drawdown measures the worst decline from a previous simulated equity high to a later simulated equity low. It is not the same as one losing trade. It is the deepest account-level stress the paper workflow produced during a selected review window.
A paper account can have a high win rate and still carry unacceptable drawdown. For example, an agent may win many small simulated trades, then open several related positions and give back weeks of progress in one session. Max drawdown makes that stress visible because it looks at the path of the equity curve, not only the final result.
This matters for Trading Boy users because a paper-agent workflow should be judged against rules, not just profit and loss. If the rule says a sample should pause after a 10 percent decline and the paper account reaches a 16 percent max drawdown, the review should treat that as a process breach even if the account later recovers. The point is to learn whether the agent respected the written boundary.
Trading Boy does not execute live trades, hold funds, or provide financial advice. Max drawdown in this glossary is an educational paper-trading metric for simulated review, journal discipline, and agent risk control. It should not be read as a promise about future live-market behavior.
The max drawdown formula compares a peak equity value with the lowest later trough. The trough must occur after the peak, because the metric is measuring a decline from an earlier high.
| Item | Meaning | Paper-trading review use |
|---|---|---|
| Peak equity | The highest simulated account value before the decline. | Use the peak as the starting point for the stress measurement. |
| Trough equity | The lowest later simulated account value before recovery or reset. | Use the trough to identify the deepest decline in the sample. |
| Formula | (Peak equity - trough equity) / peak equity * 100 | Convert the decline into a percentage that can be compared with the written limit. |
| Interpretation | A larger percentage means a deeper simulated decline. | Compare it with risk limits, position sizing, frequency, and correlated exposure. |
For a faster calculation, use the maximum drawdown calculator. For context around planned paper risk, pair it with the position size calculator and risk-reward calculator.
Max drawdown gives the paper review a stress metric. It helps separate a workflow that stayed controlled from one that happened to recover after breaking its own limits. In Trading Boy, that makes it useful for risk review, post-trade review, and AI paper trading agent evaluation.
A low paper max drawdown does not prove a rule is safe for live trading. The sample may be too small, market conditions may be calm, and paper fills may miss live frictions. Read it alongside paper-trading limitations and paper trading vs live trading.
Inputs: A paper account rises to a peak value of 10,000, then falls to 8,700 before recovering. The max drawdown is (10,000 - 8,700) / 10,000 * 100, or 13 percent.
Review finding: The account later recovers, but the written sample limit was 10 percent. The review should mark the sample as a drawdown breach. The useful question is not whether the equity curve recovered. The useful question is why the workflow allowed a 13 percent simulated decline.
Likely cause: The journal shows three similar long ideas were active at once. That points to correlated exposure rather than one isolated losing trade. A post-trade note should tag exposure stacking, frequency, and rule fit.
Next action: Preserve the old paper sample, add a rule that blocks related exposure after a threshold, and start a clean sample. Then compare future max drawdown with the old value to see whether the control actually changed behavior.
The best use of max drawdown is simple: write the limit before the sample starts, measure the actual paper decline, and explain any breach without rewriting the rules after the outcome is known.
Start by deciding the review window. A window can be a single agent version, a specific market regime, a calendar week, or a fixed number of simulated trades. Avoid mixing old and new rule versions in the same number, because that can hide whether a risk control helped. If you change an agent prompt, reduce allowed size, or add a skip condition, start a new tagged sample.
Next, compare the drawdown with position sizing and frequency. A deep drawdown may come from one oversized paper trade, but it often comes from several decisions that are individually small and collectively too exposed. That is why drawdown belongs next to the trade entry checklist, the pre-trade checklist template, and the paper trading journal template.
Finally, turn the number into a decision. If the max drawdown is inside the written limit and the sample is large enough, keep collecting evidence. If the max drawdown breaks the limit, change one thing that directly explains the breach. That might be size, maximum open ideas, related-token exposure, stop discipline, or the conditions under which an AI agent is allowed to issue a paper alert.
Trading Boy is built around paper-trading review. It helps organize simulated decisions, alerts, journal evidence, and agent behavior. Trading Boy does not execute live trades, hold funds, or provide financial advice. A drawdown number from a paper account should support better review habits, not replace personal judgment or professional advice.
Use max drawdown with the rest of the Trading Boy paper-trading workflow. The metric becomes more useful when it is tied to written rules, journal entries, calculators, and post-trade review.
Paper trading hub, risk review, pre-trade review, and trading feedback loop keep the drawdown number connected to process.
Post-trade review template, paper trading journal template, and AI trading agent prompt template help record the rule context behind the metric.
AI paper trading agent, crypto paper-trading workflow, and Telegram paper-trading alerts show where drawdown review fits inside simulated trading operations.
Max drawdown is the largest percentage drop from a paper account equity peak to a later trough during the review period. It shows the deepest simulated decline the workflow created before recovery, reset, or rule change.
Use the formula: max drawdown = (peak equity - trough equity) / peak equity * 100. The trough must happen after the peak, because drawdown measures the decline from an earlier high.
No. Risk per trade is the planned loss on one simulated setup. Max drawdown is the largest peak-to-trough decline across the paper account or sample, so it can include multiple trades, correlated exposure, and repeated rule mistakes.
No. Low paper drawdown can come from a small sample, calm market conditions, missing slippage, or loose assumptions. It is review evidence, not proof that a strategy is safe for live capital.