AUD/CHF Historical Replay: 2015-11 to 2016-05
Replay 132 daily bars of AUD/CHF from 2015-11 to 2016-05, navigating a peak drawdown of 8.5% during the CNY-linked volatility. Walk through 23 decision points day-by-day in simulated capital and receive an AI coach review of your reasoning.
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 8.5% and a 10.3% run-up.
- Max drawdown
- −8.5%
- Max run-up
- +10.3%
- Duration
- 182 days
- Largest single-day move
- −2.3%
- 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 and Swiss franc rarely share the headlines, yet in the autumn of 2015 a subtle pressure was building in cross-currency markets. China's authorities were navigating a delicate transition for the yuan, and contagion fears rippled through commodity-linked and safe-haven pairs alike. AUD/CHF sat at the crossroads of these forces, making it an ideal training ground for traders wanting to understand how G10 forex behaves when an emerging-market shock reverberates through liquidity channels. The period from mid-November 2015 through mid-May 2016 promised exactly that kind of stress test.
Over 132 daily bars the pair moved from 0.716 to 0.7126, a net decline of just -0.5%, yet that tranquil headline number concealed a turbulent journey. The maximum drawdown reached 8.5% as sentiment swung between risk-on and risk-off, while the largest single day gapped 2.3% on a surprise CNY fix. Participants faced 23 decision points across the replay, eight of which the platform flagged as critical moments where positioning or exits could define cumulative outcomes. Volatility was the dominant feature, not direction.
This replay is less about predicting the next move and more about sharpening the decision process under uncertainty. Trainees must contend with the psychological trap of small net losses masking large intermediate pain—exactly what 8.5% drawdowns do to discipline. The eight critical nodes force explicit choices on sizing, stop discipline, and conviction, while the 2.3% single-bar episodes test whether participants have a rule-based framework or are reacting in the moment. AI coach review turns each replay into a structured debrief on risk management and emotional regulation, the twin pillars of professional trading practice.
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