Canada National (BIS) Historical Replay: 2010-01 to 2017-04
Replay a Canadian property boom spanning 2010-01 to 2017-04, when prices climbed 73.5% across 30 monthly bars. Step through each historical session, face six decision points, and receive AI coach feedback in this simulated educational training.
30 monthly bars · 6 decision points · 2010-01 to 2017-04 · Property
Key facts
Peak-to-trough drawdown of 2.2% with a 73.5% run-up.
- Max drawdown
- −2.2%
- Max run-up
- +73.5%
- Largest single-month move
- +6.7%
- Bars
- 30 Monthly bars
- Decision points
- 6
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
This replay immerses you in the Canadian national property market between January 2010 and April 2017, a period defined by prolonged low interest rates that fueled a sustained price ascent. Across 30 monthly bars, you will navigate six decision points—including two critical moments where directional conviction mattered most. The core tension: whether to hold through modest pullbacks or rotate capital as the multi-year advance matured.
The index climbed from 99.32 to 172.3, delivering a 73.5% cumulative return over the data span. This was not a smooth trajectory; the maximum drawdown reached 2.2%, and the largest single-bar move hit 6.7%, underscoring that even trending markets produce volatility spikes. Participants must reconcile a generally bullish macro backdrop with intraperiod uncertainty—a classic dilemma in extended boom phases where momentum and risk coexist.
For decision training, this scenario emphasizes three dimensions: process discipline (adhering to rules regardless of outcome), risk calibration (sizing positions relative to known maximum drawdown), and psychological resilience (avoiding extrapolation bias when prices extend). The 2010s property boom offers a structured laboratory to practice these skills without real capital at stake, using authentic price action to surface behavioral gaps.