EUR/AUD Historical Replay: 2015-06 to 2015-12
Replay EUR/AUD from June to December 2015 across 116 daily bars and watch the pair climb 4.2% from 1.4472 to 1.5077. Step through 20 decision points, face critical policy-driven forks, and receive an AI coach review after each simulated trading day.
116 daily bars · 20 decision points · 2015-06 to 2015-12 · Forex
Key facts
This window spans 162 days with a peak-to-trough drawdown of 10.7% and a 12.5% run-up.
- Max drawdown
- −10.7%
- Max run-up
- +12.5%
- Duration
- 162 days
- Largest single-day move
- +3.0%
- Bars
- 116 Daily bars
- Decision points
- 20
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 EUR/AUD cross sits at the intersection of two very different monetary universes. In mid-2015 the European Central Bank was deep into its quantitative easing program while the Reserve Bank of Australia was navigating a commodity price downturn that pressured its terms of trade. Over 116 daily bars from June 30 to December 9, 2015, this G10 pair became a living laboratory for policy-driven volatility, with 20 decision points—7 of them marked as critical forks—requiring traders to read shifting central bank signals under uncertainty.
The replay captures a net climb of 4.2% as EUR/AUD rose from 1.4472 to 1.5077. That headline figure conceals a far rougher journey: the pair endured a maximum drawdown of 10.7% at various stages, and a single trading day saw a 3.0% intraday swing that would have tested any position's stop discipline. The period coincided with China's August 2015 exchange rate reform, an event that rippled through commodity-linked currencies and added an external policy shock to the pair's dynamics.
For decision training this scenario excels at exposing three recurring pitfalls. First, confirmation bias: once long EUR/AUD was established, the 10.7% drawdown could tempt traders to ignore early policy divergence signals. Second, position sizing under fat tails: the 3.0% single-bar move shows that volatility clusters in policy windows demand smaller bets than historical averages suggest. Third, the discipline of post-trade review: facing an AI coach after each simulated day forces structured reflection on whether the decision process, not just the outcome, was sound.