Coking Coal Historical Replay: 2019-08 to 2019-11
Step into a 58-day coking coal replay covering 2019-08-23 to 2019-11-20, where prices slid 4.7% amid 10.4% drawdown swings. You replay the market day-by-day, face 11 decision points, and receive an AI coach review of your choices in this simulated training environment.
58 daily bars · 11 decision points · 2019-08 to 2019-11 · Commodities
Key facts
This window spans 89 days with a peak-to-trough drawdown of 10.4% and a 5.2% run-up.
- Max drawdown
- −10.4%
- Max run-up
- +5.2%
- Duration
- 89 days
- Largest single-day move
- −4.2%
- Bars
- 58 Daily bars
- Decision points
- 11
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 coking coal market entered a tense autumn in late August 2019, as escalating trade tensions between the United States and China cast a long shadow over global commodity flows. For traders focused on ferrous markets, this was a period of heightened uncertainty—not merely about supply and demand fundamentals, but about the broader geopolitical forces reshaping trade routes and pricing dynamics. The 58-day window from August 23 to November 20 represented a crucible where macro headlines could overwhelm traditional market logic, demanding disciplined decision-making under pressure.
Over the course of this replay, coking coal prices retreated from 1328.5 to 1266, a decline of 4.7%. Yet the headline number obscures the turbulence beneath: a maximum drawdown of 10.4% tested portfolios, while the largest single trading day moved 4.2%—enough to unsettle even seasoned practitioners. Navigating this volatility required traders to confront 11 distinct decision points, with 4 deemed critical junctures where positioning and risk management could meaningfully alter outcomes.
This replay distills three enduring lessons for decision training. First, process discipline matters more than directional conviction—a trader caught flat-footed by a 4.2% intraday swing learned that pre-commitment to entry and exit rules is essential. Second, risk calibration cannot assume stationary volatility; a 10.4% drawdown environment demands position sizing that preserves optionality. Third, psychological resilience separates effective replay participants from those who abandon strategy under pressure. The AI coach review ensures these lessons are internalized, transforming historical turbulence into refined decision frameworks for future volatility events.