Copper Historical Replay: 2018-06 to 2018-09
Copper fell from 3.05 to 2.8 across 68 turbulent 2018 trading days. Replay each session in this interactive simulator, navigate 12 decision points including 4 critical junctures, and receive AI coach review of your choices—purely educational with simulated capital.
68 daily bars · 12 decision points · 2018-06 to 2018-09 · Commodities
Key facts
This window spans 97 days with a peak-to-trough drawdown of 16.1% and a 10.9% run-up.
- Max drawdown
- −16.1%
- Max run-up
- +10.9%
- Duration
- 97 days
- Largest single-day move
- −4.5%
- Bars
- 68 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
The summer of 2018 found copper markets navigating treacherous waters. Across 68 daily trading sessions spanning June to September, participants faced a sustained downturn in base metals that tested both analytical resolve and emotional discipline. The market's trajectory from 3.05 to 2.8 over this period represented more than a simple price decline—it was a landscape where trend-following strategies faced headwinds and risk management became paramount.
The numbers tell a story of turbulence: copper closed the period at -8.2% from its opening, while the maximum drawdown of 16.1% revealed the depth of interim pain investors would have endured. Perhaps most instructive was the largest single-bar move of 4.5%, demonstrating how quickly sentiment could shift within a single session. This environment produced 12 distinct decision points, with 4 critical junctures that would have separated prepared participants from reactive ones.
This replay teaches that surviving volatile markets requires as much psychological preparation as analytical skill. Participants learn to navigate uncertainty by making decisions at each checkpoint without knowing the outcome, mirroring real market conditions. The AI coach review afterward transforms hindsight into foresight, helping traders identify whether their process remained disciplined when drawdowns approached 16.1% or when single sessions moved 4.5%. Such practice builds the conviction needed to execute risk management consistently when emotions run high.