San Diego Historical Replay: 2018-12 to 2021-05
Replay San Diego property markets across 30 monthly bars, where prices climbed from 251.69 to 341.04 through a pandemic-era volatility surge. Work through six decision points in chronological order, face two critical inflection moments, and receive an AI coach review of every simulated educational choice.
30 monthly bars · 6 decision points · 2018-12 to 2021-05 · Property
Key facts
Peak-to-trough drawdown of 0.4% with a 35.7% run-up.
- Max drawdown
- −0.4%
- Max run-up
- +35.7%
- Largest single-month move
- +3.3%
- 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 residential market entered the replay window at the end of 2018, spanning 30 monthly bars through May 2021 and covering the tail‑end of the 2010s and the early 2020s. The central challenge was navigating a brief but sharp pandemic‑driven shock that tested both risk tolerance and decision‑making discipline, especially as six decision points were placed along the timeline, two of which were flagged as critical inflection moments.
The replay data show an overall upward trajectory: the index rose from 251.69 to 341.04, a 35.5 % gain over the full horizon. Notably, the maximum drawdown recorded was only 0.4 % and the largest single‑month move reached 3.3 %, indicating that despite the pandemic headline, the market experienced a modest dip before rebounding quickly. Participants had to decide at each of the six points whether to hold, adjust, or pivot, with the two critical points demanding clear justification for any stance taken.
This scenario illustrates that even a tiny drawdown can provoke hesitation, and that a disciplined process—rather than reacting to a 3.3 % swing—preserves long‑term conviction. The AI coach review emphasizes risk‑aware planning, emotional control under uncertainty, and the value of predefined decision rules, making the replay a practical case study in systematic market thinking.
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