Copper Historical Replay: 2021-09 to 2021-12
Replay 64 daily bars of Chinese copper from 2021-09-08 to 2021-12-07, a stretch marked by a 10.7% drawdown and 4.4% single-day swings. Step through the period bar by bar, tackle 11 decision points, and receive an AI coach review of your reasoning in a simulated educational environment.
64 daily bars · 11 decision points · 2021-09 to 2021-12 · Commodities
Key facts
This window spans 90 days with a peak-to-trough drawdown of 10.7% and a 16.4% run-up.
- Max drawdown
- −10.7%
- Max run-up
- +16.4%
- Duration
- 90 days
- Largest single-day move
- +4.4%
- Bars
- 64 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 Chinese copper market entered a complex phase in autumn 2021, facing significant regulatory pressures that would test traders' ability to navigate policy-driven volatility. During this critical 64-day stretch from September 8 to December 7, market participants encountered an environment where traditional supply-demand analysis intersected with government intervention, creating both challenges and opportunities for those prepared to analyze the situation systematically.
Price action during this period revealed the turbulent nature of commodity markets under regulatory scrutiny. Despite the volatility, copper closed the replay at 4.34, representing a modest 2.6% gain from its 4.23 opening level. However, this headline figure masked significant intra-period instability, with maximum drawdown reaching 10.7% and single-day swings as large as 4.4%. Navigating these sharp fluctuations required traders to manage 11 distinct decision points, four of which proved particularly critical to overall performance.
This replay scenario offers valuable lessons in disciplined trading methodology. Participants learn to process information systematically under uncertainty, manage positions through periods of heightened volatility, and maintain psychological stability when confronted with regulatory surprises. The experience emphasizes that successful navigation of regulated markets demands both analytical rigor and emotional resilience, skills best developed through deliberate practice in simulated environments where real consequences cannot occur.
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