Iron Ore Historical Replay: 2019-11 to 2020-05
Replay 116 daily bars of iron ore from November 2019 through May 2020, navigating an 18.0% drawdown as the pandemic reshaped markets. Work through 20 decision points (7 critical) day-by-day with simulated capital and receive an AI coach review of each call.
116 daily bars · 20 decision points · 2019-11 to 2020-05 · Commodities
Key facts
This window spans 176 days with a peak-to-trough drawdown of 18.0% and a 17.3% run-up.
- Max drawdown
- −18.0%
- Max run-up
- +17.3%
- Duration
- 176 days
- Largest single-day move
- −14.3%
- Bars
- 116 Daily bars
- Decision points
- 20
Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology
The market advances day by day. You only see candles up to the current day — as if you were really there.
At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.
After settlement you get a six-dimension score and an AI coach review. Your result enters the scenario leaderboard.
Event Replay
What happened — and what it teaches
The replay drops you into the iron ore market on November 20, 2019, with 116 daily bars stretching forward to May 14, 2020. What begins as routine commodity trading soon collides with the unprecedented disruption of a global pandemic. Participants face the challenge of maintaining discipline while markets experience extraordinary stress, with an 18.0% drawdown testing every position and every plan. The stakes are clear: preserve capital while learning to process incomplete information under extreme uncertainty.
The closing price shifted from 632.5 to 647.5, delivering a modest 2.4% gain over the full period. Yet this figure masks the true nature of the journey. The largest single-bar move of 14.3% demonstrates the kind of intraday shock that can shatter poorly constructed positions. Navigating through 20 decision points, of which 7 proved critical, required participants to reassess their thesis repeatedly as the situation evolved. The gap between modest end-state returns and violent intermediate swings creates the essential tension that defines high-stakes commodity trading.
This scenario serves decision training precisely because it strips away the comfort of hindsight. Facing 18.0% drawdowns in real time forces participants to confront the psychological challenge of holding positions through adverse moves. The seven critical decision points become laboratories for testing risk management protocols, position sizing discipline, and emotional control. Each interaction with the AI coach review offers an opportunity to compare your reasoning against the historical record, building the kind of situational awareness that separates disciplined traders from those who merely survive volatility.
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