CAD/JPY Historical Replay: 2018-09 to 2018-12
Replay 66 daily bars of CAD/JPY from September to December 2018, navigating a 5.4% drawdown and a sharp 1.9% single-day move. Make decisions across 12 interactive checkpoints, including 4 critical moments, and receive AI coach feedback in this simulated training environment.
66 daily bars · 12 decision points · 2018-09 to 2018-12 · Forex
Key facts
This window spans 92 days with a peak-to-trough drawdown of 5.4% and a 5.9% run-up.
- Max drawdown
- −5.4%
- Max run-up
- +5.9%
- Duration
- 92 days
- Largest single-day move
- +1.9%
- Bars
- 66 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 replay transports traders to the CAD/JPY cross in the autumn of 2018, a period when G10 foreign exchange markets experienced notable turbulence amid shifting interest rate expectations and oil price volatility that weighed on the Canadian dollar. Over 66 daily bars spanning September 6 to December 7, 2018, participants navigate this historically significant period where the currency pair's modest 0.2% net close-to-close return masked considerable underlying volatility and investor uncertainty.
The data reveals the challenge: while the pair ultimately finished at 84.123 against an opening of 83.992, traders faced a maximum drawdown of 5.4% and a largest single-day move of 1.9% that tested risk management disciplines. Across 12 interactive decision points, including 4 critical moments embedded in the historical timeline, participants must decide how to position and adjust as the market oscillated through periods of acute stress.
This scenario sharpens decision-making skills by confronting participants with the psychological reality of trading: the gap between modest long-term outcomes and turbulent short-term price action. Navigating the 5.4% drawdown requires disciplined position sizing, while reacting to the 1.9% single-day moves tests emotional control and adherence to pre-defined plans. The AI coach feedback mechanism allows traders to reflect on their choices and refine their process for future volatility events in the 2010s decade.
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