San Diego Historical Replay: 2021-02 to 2023-07
Replay 30 monthly bars of San Diego's property cycle from February 2021 to July 2023, capturing an 11.4% peak-to-trough drawdown after a 33.9% run. You will step through each historical period, face 6 decision points including 2 critical ones, and receive an AI coach review of every call you make, simulated capital only.
30 monthly bars · 6 decision points · 2021-02 to 2023-07 · Property
Key facts
Peak-to-trough drawdown of 11.4% with a 37.6% run-up.
- Max drawdown
- −11.4%
- Max run-up
- +37.6%
- Largest single-month move
- +4.5%
- 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
San Diego's property market from February 2021 to July 2023 offers a concentrated case study of how rising rates reshape urban real estate. The 2020s cycle in America's eighth-largest city unfolded against a backdrop of extraordinary monetary stimulus followed by the most aggressive Fed tightening in a generation. With supply chronically constrained and demand powered by migration and remote work, San Diego's market had already run hard before the replay begins, setting up a high-stakes test of timing and conviction as the cycle matured. Participants enter the scenario knowing only what was visible month by month, not the arc that would follow.
The 30 monthly bars recorded a 33.9% gain from 311.01 to 416.58, yet this aggregate conceals a volatile path. An 11.4% peak-to-trough drawdown interrupted the advance, and the largest single monthly swing reached 4.5%, underscoring that even a net-positive cycle punishes those who fail to manage exposure dynamically. The replay forces learners to sit through both the momentum phase and the correction, making six decisions—including two critical crossroads—where holding, adjusting, or repositioning each carries materially different risk outcomes.
The scenario distills the central challenge of cyclical property investing: separating persistent structural demand from rate-sensitive sentiment. 11.4% drawdowns feel modest in equities terms, yet they can trigger emotional selling in illiquid markets where exit costs are real. By replaying this period with simulated capital and AI coach review, learners build the habit of reviewing positions against process rather than outcome, cultivating the discipline needed to act on incomplete data without panic or overconfidence.
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