Seattle Historical Replay: 2017-04 to 2019-09
Replay Seattle's housing market from April 2017 to September 2019, a 30-month span with prices climbing 14.4% and a peak drawdown of 5.9%. Walk through each monthly decision point in simulated conditions and receive an AI coach review of your choices.
30 monthly bars · 6 decision points · 2017-04 to 2019-09 · Property
Key facts
Peak-to-trough drawdown of 5.9% with a 16.4% run-up.
- Max drawdown
- −5.9%
- Max run-up
- +16.4%
- Largest single-month move
- +2.8%
- 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
Seattle's residential market entered a significant phase from April 2017 to September 2019, spanning 30 months in the 2010s. Prices were on a gradual upward trajectory, creating both opportunity and uncertainty for market participants navigating simulated investment decisions in this educational replay.
The market delivered solid gains, with close prices advancing from 222.48 to 254.59, a 14.4% increase over the period. Yet the path was not smooth—the maximum drawdown reached 5.9% and the largest single-bar move hit 2.8%, reminding participants that even trending markets contain volatility. Six decision points punctuated this span, with two classified as critical moments that demanded participants evaluate their positions and strategies under simulated pressure.
This replay offers valuable training for developing investment process and psychology. The scenario tests risk management fundamentals—how participants respond to drawdowns, size positions, and balance conviction against market noise. It reveals how decision fatigue and market sentiment can distort judgment, even in a clearly trending market. For educational purposes, the episode illustrates that disciplined process matters more than predicting short-term moves, preparing participants for real market dynamics without risking actual capital.