Copper Historical Replay: 2011-02 to 2011-08
Replay a copper market scenario from 2011-02-15 to 2011-08-15 across 126 daily bars, where prices fell 11.0% and drawdowns reached 14.1%. Walk through 22 decision points day by day, respond to market shocks, and receive an AI coach review of your reasoning using simulated capital.
126 daily bars · 22 decision points · 2011-02 to 2011-08 · Commodities
Key facts
This window spans 181 days with a peak-to-trough drawdown of 14.1% and a 14.6% run-up.
- Max drawdown
- −14.1%
- Max run-up
- +14.6%
- Duration
- 181 days
- Largest single-day move
- −3.6%
- Bars
- 126 Daily bars
- Decision points
- 22
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 copper market replay transports participants to a turbulent stretch of the 2010s, spanning 126 daily bars from 2011-02-15 to 2011-08-15. This period unfolded against a backdrop of post-crisis commodity volatility, where industrial demand signals were mixed and macroeconomic uncertainty weighed heavily on base metal sentiment. Trainees enter a market where preserving capital while navigating sharp reversals was the central challenge.
What unfolded over those six months was a sustained decline: copper prices fell from 4.53 to 4.03, an overall move of -11.0%. The journey was anything but smooth, with maximum drawdown reaching 14.1% and the largest single-bar move hitting 3.6%, underscoring the volatile nature of the descent. Across the period, 22 decision points were embedded in the replay, with 8 designated as critical junctions where positioning choices carried heightened consequence.
The scenario serves as a rigorous training ground for three core competencies: process discipline under pressure, proactive risk management when drawdowns deepen, and psychological resilience when the market moves against prevailing positions. Each decision point invites reflection on entry logic, sizing, and exit strategy, while the AI coach feedback loop reinforces habits that separate skilled decision-makers from reactive ones. By engaging with this historically grounded boom-turned-correction episode, trainees build experience that transcends any single market condition.