Iron Ore Historical Replay: 2016-09 to 2017-01
Replay the 2016-09 to 2017-01 iron ore boom across 68 daily bars as a close climbed from 413.5 to 571.5. You navigate 12 decision points (4 critical) day by day, then receive AI coach review—all simulated capital, purely educational.
68 daily bars · 12 decision points · 2016-09 to 2017-01 · Commodities
Key facts
This window spans 102 days with a peak-to-trough drawdown of 17.3% and a 59.6% run-up.
- Max drawdown
- −17.3%
- Max run-up
- +59.6%
- Duration
- 102 days
- Largest single-day move
- −7.3%
- Bars
- 68 Daily bars
- Decision points
- 12
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 iron ore market in China entered a significant boom phase from late September 2016 through early January 2017. This 68-daily-bar period unfolded across the broader ferrous commodities sector during the 2010s, capturing a textbook example of momentum-driven price expansion. Participants faced the classic challenge of a sustained uptrend: when to lean into the move, when to protect gains, and how to navigate the inevitable pullbacks that test conviction.
The price journey tells a compelling story of conviction rewarded. Closing prices climbed from 413.5 to 571.5, representing a 38.2% appreciation over approximately three months. The advance was not linear—the market experienced a maximum drawdown of 17.3%, and individual sessions could swing by as much as 7.3%, creating an environment where risk management was as critical as directional positioning. Such volatility demands that traders continuously reassess exposure relative to evolving market conditions.
The replay challenges participants with 12 decision points, of which 4 are critical junctures. This scenario serves as a powerful decision-training vehicle because it forces learners to confront the psychological tension between following a trend and protecting capital. Managing through a 17.3% drawdown while prices ultimately reach 571.5 teaches the importance of process discipline, position sizing, and emotional regulation—skills that transfer far beyond this specific historical episode. All outcomes are simulated; the lessons are real.