San Diego Historical Replay: 2010-03 to 2012-08
Replay 30 monthly bars from March 2010 through August 2012 as a city property market navigated a 9.9% drawdown. Step into 6 decision points, face 2 critical ones, and get an AI coach review after each simulated, educational session.
30 monthly bars · 6 decision points · 2010-03 to 2012-08 · Property
Key facts
Peak-to-trough drawdown of 9.9% with a 6.1% run-up.
- Max drawdown
- −9.9%
- Max run-up
- +6.1%
- 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 replay transports you to San Diego's city property market between March 2010 and August 2012, a period when the urban real estate sector was still absorbing the aftershocks of the financial crisis. Across 30 monthly bars, you will navigate an environment where gains were modest and downside risks persisted. Six decision points are embedded in this historical stretch, with two flagged as critical moments where your choices could meaningfully shift the outcome trajectory.
The market closed the period at 157.84, down from an opening level of 160.22 — a net decline of -1.5%. Yet this headline figure masks more turbulent undercurrents: the scenario sustained a maximum drawdown of 9.9%, and the largest single monthly candle recorded a move of 1.5%. These numbers reveal a market that was not directionless but volatile, capable of swinging meaningfully within any given month while ultimately grinding lower over the two-year span.
This replay is a laboratory for disciplined decision-making under uncertainty. You will practice calibrating position size against a known historical drawdown, resisting the impulse to act on the largest monthly moves alone, and distinguishing between routine inflection points and genuinely critical forks. The AI coach debriefs each session, turning your reactions into lessons about risk management, emotional regulation, and the value of process over outcome — all grounded in the authentic record of San Diego's city property market in the 2010s.
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