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Iron Ore Historical Replay: 2013-11 to 2014-05

CommoditiesFerrousUSBoom2013-11 to 2014-05Difficulty 4/5FreeView charts

Iron ore crashed 21.1% from 931 to 735 between November 2013 and May 2014, testing traders through a brutal 23.5% drawdown. Replay each of the 110 days, face 19 decision points, and receive an AI coach review as you learn from this simulated historical downturn.

110K lines
19Decision points
4Difficulty
DailyGranularity

110 daily bars · 19 decision points · 2013-11 to 2014-05 · Commodities

Key facts

This window spans 168 days with a peak-to-trough drawdown of 23.5% and a 13.3% run-up.

Max drawdown
−23.5%
Max run-up
+13.3%
Duration
168 days
Largest single-day move
−7.5%
Bars
110 Daily bars
Decision points
19

Every figure above is computed programmatically from this replay’s own candle series — no editorial input, no LLM. Methodology: Methodology

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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

In late 2013, iron ore was entering a period of severe pressure as global commodity markets faced headwinds from a strengthening US dollar. From November 22, 2013 through May 9, 2014, traders navigating ferrous markets encountered 110 daily bars of increasingly challenging conditions. The market backdrop featured mounting concerns over Chinese demand growth and currency dynamics that would reshape commodity valuations across the board.

The price trajectory proved brutal: iron ore collapsed from 931 to 735, representing a 21.1% decline that tested even experienced traders. The market's max drawdown reached 23.5%, while the largest single session move hit 7.5%, underscoring the volatility and unpredictability that characterized this downturn. Over approximately five and a half months, participants faced 19 distinct decision points, with 7 deemed critical to performance outcomes.

For traders using this historical period for decision training, the episode offers critical lessons in risk management and psychological resilience. The sharp and sustained nature of the decline demands systematic position sizing, disciplined stop-loss protocols, and emotional equilibrium when confronting extended adverse moves. Analyzing the 19 decision points provides insight into how different responses to identical market conditions yield vastly different results, highlighting the importance of having a clear, pre-defined trading plan when volatility strikes.