San Francisco Historical Replay: 2008-12 to 2011-05
Replay 30 monthly bars from December 2008 through May 2011 as San Francisco property prices navigated a 9.5% drawdown. You step through each historical month, face 6 decision points including 2 critical ones, and receive an AI coach review of every simulated choice.
30 monthly bars · 6 decision points · 2008-12 to 2011-05 · Property
Key facts
Peak-to-trough drawdown of 9.5% with a 21.7% run-up.
- Max drawdown
- −9.5%
- Max run-up
- +21.7%
- Largest single-month move
- −4.4%
- 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 2008, San Francisco's property market faced the reverberations of a global financial crisis that had erupted months earlier. The city that had experienced years of steady appreciation now confronted profound uncertainty about future values. The period from December 2008 through May 2011 offers a particularly instructive window into navigating extreme uncertainty in real estate markets. During these 30 monthly decision points, including 2 critical junctures, participants confronted the fundamental question: how do you make sound decisions when the path forward is unclear and every month brings new volatility?
Over the full 30-month span, the market showed a modest recovery trajectory, with closing values rising from 130.12 to 134.42—a net gain of 3.3%. However, this seemingly positive outcome concealed substantial turbulence beneath the surface. The maximum drawdown reached 9.5%, meaning investors who entered the period would have seen their positions decline significantly before any meaningful recovery. Individual monthly swings of up to 4.4% created an environment where short-term losses could easily unsettle even experienced participants. The market's path was neither linear nor predictable, rewarding patience while punishing reactive decision-making.
This replay scenario serves as an excellent training ground for developing disciplined investment processes. The key lesson is that maintaining conviction during periods of significant volatility requires robust risk management frameworks and emotional control. Rather than trying to predict market movements, successful navigation depends on having clear criteria for decisions and sticking to them. Psychological resilience emerges as the critical differentiator between investors who capitulate during downturns and those who hold to their methodology. By confronting these historical decision points in simulation, participants can build the habits and mental models that will serve them when future markets present their own challenges.
Featured in the archive