Seattle Historical Replay: 2021-12 to 2024-05
Replay Seattle's housing market from December 2021 to May 2024, a span in which prices climbed 10.4% before reversing sharply. Walk through every monthly bar, face six decision points including two critical ones, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2021-12 to 2024-05 · Property
Key facts
Peak-to-trough drawdown of 16.2% with a 15.6% run-up.
- Max drawdown
- −16.2%
- Max run-up
- +15.6%
- Largest single-month move
- +5.6%
- 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
In late 2021, Seattle's housing market stood at a crossroads. The city had experienced years of steady appreciation driven by tech employment and population growth. Between December 2021 and May 2024—a 30-month window spanning the early 2020s—participants face the challenge of navigating a market that first climbed before reversing sharply. With six decision points embedded in the monthly price bars, including two critical junctures, the scenario captures the tension between momentum and macro headwinds.
The data reveals a nuanced journey: prices rose from 358.1 to 395.2, a cumulative gain of 10.4% over the period. However, this headline figure conceals significant turbulence beneath the surface. The maximum drawdown reached 16.2%, while the largest single monthly swing measured 5.6%—a reminder that aggregate returns can mask violent intermediate corrections. Participants who focused solely on the net trajectory would have missed the psychological stress embedded in those monthly bars.
This replay sharpens three essential skills. First, it forces disciplined process over narrative: headlines about a "hot market" can obscure deteriorating internals. Second, it teaches position sizing and drawdown tolerance—the 16.2% peak-to-trough decline tests whether participants can hold through adversity or exit at the worst moment. Third, the two critical decision points require participants to distinguish between signal and noise, making calibrated choices when uncertainty peaks. By replaying these months without the benefit of hindsight, learners build the habits that separate long-term thinkers from reactive traders.
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