AUD/USD Historical Replay: 2015-11 to 2016-05
Replay AUD/USD across 132 daily bars from November 2015 to May 2016, when the pair clawed back from a 6.8% drawdown to close up 2.6%. Step through every decision point and let the AI coach review your simulated choices.
132 daily bars · 23 decision points · 2015-11 to 2016-05 · Forex
Key facts
This window spans 182 days with a peak-to-trough drawdown of 6.8% and a 13.7% run-up.
- Max drawdown
- −6.8%
- Max run-up
- +13.7%
- Duration
- 182 days
- Largest single-day move
- −2.1%
- Bars
- 132 Daily bars
- Decision points
- 23
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 Australian dollar faced one of its most volatile periods in recent history during the final months of 2015 and into spring 2016, a time when the January 2016 RMB devaluation shock rippled across global foreign exchange markets. Over 132 daily bars spanning November 2015 to May 2016, AUD/USD presented traders with 23 distinct decision points—8 of which proved critical to performance outcomes. The era tested every participant's ability to process cascading risk sentiment without losing strategic discipline.
The price action told a story of sharp disruption followed by gradual recovery. AUD/USD opened the period at 0.7106 and ultimately closed at 0.7288, delivering a modest 2.6% gain. Between those endpoints lay a 6.8% maximum drawdown that tested conviction and risk management alike. The largest single daily move of 2.1% captured the intensity of the initial shock and the market's subsequent struggle to find equilibrium. Participants who navigated the drawdown successfully positioned themselves to capture the eventual rebound.
This replay scenario distills the crisis trading experience into actionable lessons. The 23 decision points serve as checkpoints for examining how traders process information under pressure, size positions relative to identified risks, and maintain emotional equilibrium when markets move violently against them. The drawdown-recovery dynamic illustrates why disciplined position management matters more than directional conviction. By stepping through each critical moment with AI coaching, traders can test alternative responses, compare outcomes, and build more resilient frameworks for the next volatility event.
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