Coke Historical Replay: 2024-08 to 2024-11
Replay 74 trading days of coking coal from August to November 2024, navigating a 15.7% drawdown. Step through each session, make your own calls at 13 decision points, then compare your choices against the historical tape with an AI coach review, simulated capital only.
74 daily bars · 13 decision points · 2024-08 to 2024-11 · Commodities
Key facts
This window spans 112 days with a peak-to-trough drawdown of 15.7% and a 27.4% run-up.
- Max drawdown
- −15.7%
- Max run-up
- +27.4%
- Duration
- 112 days
- Largest single-day move
- +9.8%
- Bars
- 74 Daily bars
- Decision points
- 13
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
During the autumn of 2024, coking coal traders faced a challenging four-month stretch across 74 trading sessions from August 6 to November 26. This period represented a critical test of risk management and decision-making under uncertainty, with participants required to navigate significant market stress while maintaining disciplined position management. The Chinese ferrous commodities market was responding to evolving macroeconomic signals and sector-specific dynamics that created an environment where fortunes could shift rapidly.
The closing price retreated from 1992 to 1909.5, a modest decline of -4.1%, yet this headline figure obscures the true volatility experienced during the period. The maximum drawdown reached 15.7%, while the largest single-day move hit 9.8%, creating moments where maintaining composure required unwavering discipline. Across 13 decision points, including 5 deemed critical, traders who failed to respect these violent swings would have found their accounts severely tested. The gap between the small net decline and the substantial intraperiod turbulence tells the real story of this replay.
For decision training, this scenario illuminates how drawdowns of this magnitude can materialize even when the ultimate price change is limited. The experience teaches that process consistency matters more than outcome preservation—a single 9.8% move can devastate an undisciplined approach, while a systematic framework transforms such volatility into manageable exposure. Psychological resilience becomes the decisive factor: those who internalized appropriate position sizing and accepted drawdowns as inherent to trading emerged with their capital intact and their methodology validated. Coking coal's industrial demand sensitivity means geopolitical shifts, policy announcements, and seasonal patterns can trigger sudden sentiment reversals that demand traders remain adaptable rather than rigid in their positioning.