San Diego Historical Replay: 2003-07 to 2005-12
Walk through 30 monthly bars of San Diego property history from July 2003 to December 2005, watching values climb 48.0% before a calm 0.7% drawdown. You replay each decision point day by day, then receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2003-07 to 2005-12 · Property
Key facts
Peak-to-trough drawdown of 0.7% with a 49.0% run-up.
- Max drawdown
- −0.7%
- Max run-up
- +49.0%
- Largest single-month move
- +3.7%
- 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.
Related scenarios
- US 10-City Composite Historical Replay: 2003-07 to 2005-122003 · Lv.3
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- Seattle Historical Replay: 2003-07 to 2005-122003 · Lv.3
- New York Historical Replay: 2003-07 to 2005-122003 · Lv.3
- Minneapolis Historical Replay: 2003-07 to 2005-122003 · Lv.3
- Boston Historical Replay: 2003-07 to 2005-122003 · Lv.3
Event Replay
What happened — and what it teaches
The San Diego residential market between July 2003 and December 2005 offers a focused window into the 2000s housing boom. Over 30 monthly data points, participants navigate a market that seemed to offer steady appreciation with minimal downside. The scenario recreates six decision points where market conditions shifted subtly, testing whether trainees could read evolving dynamics before momentum changed. This is not a story of dramatic crashes but of the quiet confidence that builds during extended rallies, and the cognitive traps that accompany prolonged calm.
During this period, San Diego values rose from 167.98 to 248.55, a cumulative gain of 48.0%. Remarkably, the maximum drawdown remained just 0.7%, and the largest single monthly move measured only 3.7%. These statistics capture a market characterized by persistent upward drift with extraordinary stability. Participants experience firsthand how complacency can take root when volatility stays low and prices keep climbing session after session.
The scenario trains three core competencies. First, decision process: trainees must articulate entry and exit logic before seeing outcomes, forcing disciplined reasoning over post-hoc justification. Second, risk calibration: the 0.7% drawdown and 3.7% single-bar moves ask participants to distinguish between normal fluctuation and signals worth acting upon. Third, psychology awareness: the seductive simplicity of a rising market tests emotional regulation when nothing seems to demand urgency. The two critical decision points serve as pressure moments where hasty assumptions reveal gaps in preparation.
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