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Coking Coal Historical Replay: 2013-11 to 2014-05

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

Replay the 2013-11 to 2014-05 coking coal selloff as prices fell 25.6% over 110 daily bars. You step through authentic market days, navigate 19 decision points, and receive AI coach feedback in a fully simulated environment.

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 29.2% and a 12.7% run-up.

Max drawdown
−29.2%
Max run-up
+12.7%
Duration
168 days
Largest single-day move
−6.1%
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

The coking coal market entered a decisive phase in late 2013 as steel demand indicators shifted across Asia and Europe, creating a complex backdrop for commodity traders navigating one of the sector's sharper corrections. This replay scenario spans 110 trading days from November 2013 to May 2014, placing participants directly into a sustained downtrend where prices fell 25.6% from start to finish, with peak-to-trough decline reaching 29.2%. Participants face 19 decision points, including 7 critical junctures where position sizing and risk management choices carry heightened consequence.

The mechanics of this selloff tested even experienced traders as single-day moves of up to 6.1% created rapid reversals in sentiment and forced quick recalculations of exposure. Navigating this environment required constant reassessment of both technical signals and fundamental developments affecting steel production and coking coal demand. The scenario captures the psychological strain of maintaining discipline through a drawdown exceeding a quarter of portfolio value while distinguishing between temporary overshoots and structural trend changes.

For decision training, this replay sharpens the ability to manage extended drawdowns without abandoning sound risk principles. The compressed timeline forces participants to confront the psychological temptation of averaging down, cutting winners too early, or abandoning pre-defined strategies under pressure. Seven critical decision points serve as focused practice for sizing positions before volatility spikes and maintaining emotional equilibrium when market structure shifts against established theses. The scenario ultimately teaches that surviving prolonged corrections requires both technical flexibility and the psychological resilience to distinguish noise from genuine trend exhaustion.