Copper Historical Replay: 2015-11 to 2016-05
Replay 122 trading days across 2015-11 to 2016-05 as copper navigated a 9.6% drawdown and policy-driven volatility. Step through each session, make decisions at 21 key points, and receive an AI coach review of your simulated reasoning.
122 daily bars · 21 decision points · 2015-11 to 2016-05 · Commodities
Key facts
This window spans 177 days with a peak-to-trough drawdown of 9.6% and a 18.0% run-up.
- Max drawdown
- −9.6%
- Max run-up
- +18.0%
- Duration
- 177 days
- Largest single-day move
- +3.4%
- Bars
- 122 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.
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- Copper Historical Replay: 2014-08 to 2015-012014 · Lv.3
- Copper Historical Replay: 2018-02 to 2018-082018 · Lv.2
- Copper Historical Replay: 2018-11 to 2019-052018 · Lv.1
Event Replay
What happened — and what it teaches
In the autumn of 2015, base metals markets faced a pivotal transition as China signaled a decisive shift toward supply-side reform. Copper, a bellwether for industrial demand, found itself at the crossroads of slowing growth and policy intervention. Over the next six months, market participants would confront a complex interplay of macroeconomic headwinds and government-driven restructuring initiatives. This replay captures that tension across 122 trading days, inviting traders to experience the uncertainty that defined the era.
The numbers reveal a market searching for direction: copper closed the period at 2.07, down 1.9% from its 2.11 opening, while experiencing a maximum drawdown of 9.6%. The largest single session moved 3.4%, underscoring the volatility that policy announcements could trigger. Participants who underestimated these swings, or failed to position for policy-driven inflection points, faced significant tracking error against the market.
This scenario trains decision-makers to think probabilistically under structural uncertainty. With 21 decision points embedded across the replay, including 7 critical junctures, traders must practice calibrating conviction versus hedging. The 9.6% drawdown serves as a stark reminder that risk budgets require discipline even in range-bound markets. Psychological resilience—sticking to process when a single session moves 3.4%—separates those who learn from history from those who repeat it.
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