Copper Historical Replay: 2008-10 to 2009-04
Copper collapsed 35.9% during the 2008 crisis before climbing back 12.5% into 2009. Replay 120 daily bars, weigh 21 decision points, and receive an AI coach review of your policy-era choices in a simulated educational environment.
120 daily bars · 21 decision points · 2008-10 to 2009-04 · Commodities
Key facts
This window spans 175 days with a peak-to-trough drawdown of 35.9% and a 76.8% run-up.
- Max drawdown
- −35.9%
- Max run-up
- +76.8%
- Duration
- 175 days
- Largest single-day move
- +9.0%
- Bars
- 120 Daily bars
- Decision points
- 21
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 final months of 2008 delivered the most severe stress test commodities markets had seen in decades. Copper, a bellwether of global industrial activity, collapsed alongside equity markets as the financial system seized up and demand forecasts deteriorated sharply. This replay places you in the shoes of an investor or trader navigating 120 daily bars from October 31, 2008 through April 24, 2009—a period defined by zero interest rates, emergency quantitative easing, and unprecedented policy uncertainty. Every decision carried weight against a backdrop of collapsing confidence and government intervention on an historic scale.
During this six-month span, copper fell 35.9% at its worst point before staging a 12.5% recovery by late April. The market experienced moves as large as 9.0% in a single session, creating trap doors for hasty positioning. Across the 120-bar dataset, 21 decision points emerged, with 7 deemed critical—moments where policy announcements or economic data could pivot directional outlook overnight. The gap between peak and trough tested risk management frameworks severely, revealing how position sizing and stop discipline interact with regime change.
This scenario sharpens three core competencies. First, it demands disciplined position sizing before volatility spikes, not after. Second, it requires investors to separate macroeconomic narrative from price action—policy optimism and price declines can coexist. Third, it exposes psychological traps like loss aversion and recency bias that cloud judgment when markets swing 9.0% in a day. Engaging with these 21 decision points under simulated conditions builds the reflexive clarity needed when real capital is at stake.