Copper Historical Replay: 2018-08 to 2018-11
Replay copper from August 22 to November 23, 2018 across 66 daily bars as emerging-market stress pushed prices through a 6.3% drawdown. You will walk through each session, face 12 decision points, and receive an AI coach review of your simulated choices.
66 daily bars · 12 decision points · 2018-08 to 2018-11 · Commodities
Key facts
This window spans 93 days with a peak-to-trough drawdown of 6.3% and a 10.1% run-up.
- Max drawdown
- −6.3%
- Max run-up
- +10.1%
- Duration
- 93 days
- Largest single-day move
- +4.4%
- Bars
- 66 Daily bars
- Decision points
- 12
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
Copper is a bellwether for global industrial activity, and in the autumn of 2018 emerging-market stress became the dominant narrative shaping commodity flows. This replay covers 66 daily bars from August 22 to November 23, 2018, a period when contagion fears tested confidence across hard-asset markets. The stakes were clear: understanding how systemic shocks in developing economies translate into price action for industrial metals.
The numbers tell a story of turbulence contained. Copper opened the window at 2.67 and closed at 2.77, a modest 3.7% advance over roughly three months. That headline gain obscures the ride beneath: a maximum drawdown of 6.3% and a largest single-bar move of 4.4% punctured the range repeatedly. For traders navigating these bars, the path was anything but smooth.
The scenario offers 12 decision points—four flagged as critical—designed to surface how process, risk management, and psychology intersect under pressure. Trainees learn to separate signal from noise, maintain discipline through drawdowns, and resist recency bias when volatility spikes. Mastery here is not about predicting the next crisis but about building the habits that keep decision quality intact when uncertainty peaks.