San Diego Historical Replay: 2016-06 to 2018-11
Replay San Diego's 2016–2018 housing market across 30 monthly bars as a city property boom shows a 12.1% close-to-close rise with just a 2.0% drawdown. Step through each historical decision point, face 2 critical choices, and receive an AI coach review in this simulated training scenario.
30 monthly bars · 6 decision points · 2016-06 to 2018-11 · Property
Key facts
Peak-to-trough drawdown of 2.0% with a 14.4% run-up.
- Max drawdown
- −2.0%
- Max run-up
- +14.4%
- Largest single-month move
- +1.1%
- 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 scenario places you in San Diego's residential property market from June 2016 through November 2018. This was a period of steady economic recovery in Southern California, where employment growth, demographic shifts, and limited housing supply were creating sustained demand pressures. As a decision-maker navigating this city-level boom, you faced the challenge of positioning capital in a market that appeared stable but contained hidden volatility beneath the surface. Six historical decision points punctuate the replay, with two marked as critical junctures where your choices could significantly alter outcomes.
Across 30 monthly data points, San Diego's housing market delivered a 12.1% appreciation from 225.97 to 253.36. The trajectory was remarkably smooth, with a maximum drawdown of just 2.0%, suggesting limited downside stress throughout the period. The largest single monthly move of 1.1% indicates a market characterized by measured, incremental shifts rather than dramatic swings. This wasn't a dramatic surge but rather a controlled, grinding advance that rewarded patience and disciplined position management.
For decision training, this replay highlights how stable-looking markets still require active engagement. The narrow 2.0% drawdown challenges participants to identify when apparent calm represents genuine low risk versus when it masks accumulating vulnerabilities. The 1.1% largest move teaches restraint—resisting the urge to overtrade in an environment where patience outperforms activity. Psychologically, the steady grind tests whether you can maintain conviction without the validation of large daily swings, reinforcing that disciplined process in uneventful periods builds the muscle needed when markets eventually become volatile.