Seattle Historical Replay: 2002-08 to 2005-01
Replay Seattle's housing market across 30 monthly bars from 2002-08 to 2005-01, with prices climbing 21.4% from 115.49 to 140.18. Walk through each historical day, navigate 6 decision points, and receive an AI coach review of your choices in this simulated learning environment.
30 monthly bars · 6 decision points · 2002-08 to 2005-01 · Property
Key facts
Peak-to-trough drawdown of 0.3% with a 21.4% run-up.
- Max drawdown
- −0.3%
- Max run-up
- +21.4%
- Largest single-month move
- +1.5%
- 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
The scene recreates Seattle's residential property market across 30 monthly bars from August 2002 to January 2005, capturing a period when national housing speculation was beginning to accelerate. Participants enter a market where the early tremors of what would later be termed the "bubble" era were becoming visible, yet the trajectory remained uncertain. The challenge: navigate six decision points—including two critical junctures—while managing exposure in an environment tagged for elevated volatility characteristics.
The market rose from 115.49 to 140.18, delivering a 21.4% appreciation over the 30-month window. Yet the experience was notably serene: the maximum drawdown measured just 0.3%, and the largest single monthly move reached only 1.5%. This low-volatility profile creates a deceptive calm. For trainees, the absence of dramatic setbacks can breed complacency, masking the need for disciplined risk management even when conditions appear benign.
This replay teaches that apparent market tranquility can be a behavioral trap. The six decision points become testing grounds where learners must articulate their reasoning and confront psychological responses. Engaging with 2000s bubble dynamics—even in their gentler expression here—builds resilience for navigating authentic volatility. The AI coach's role extends beyond evaluating outcomes; it cultivates metacognitive awareness of decision-making patterns and emotional discipline under varying conditions.