San Francisco Historical Replay: 1997-03 to 1999-08
Replay San Francisco's property market across 30 monthly bars from March 1997 to August 1999, a period when prices climbed 36.3% with only a 0.7% drawdown. Step through each historical decision point and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 1997-03 to 1999-08 · Property
Key facts
Peak-to-trough drawdown of 0.7% with a 36.3% run-up.
- Max drawdown
- −0.7%
- Max run-up
- +36.3%
- Largest single-month move
- +2.2%
- 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: 1997-03 to 1999-081997 · Lv.3
- Boston Historical Replay: 1997-03 to 1999-081997 · Lv.3
- New York Historical Replay: 1997-03 to 1999-081997 · Lv.3
- Atlanta Historical Replay: 1997-03 to 1999-081997 · Lv.3
- Phoenix Historical Replay: 1997-03 to 1999-081997 · Lv.3
- San Diego Historical Replay: 1997-03 to 1999-081997 · Lv.3
Event Replay
What happened — and what it teaches
Between March 1997 and August 1999, San Francisco's property market entered one of the most remarkably steady upward stretches in its modern history. Across thirty monthly bars, prices moved from a closing level of 69.78 to 95.14, a cumulative gain of 36.3%. For owners, prospective buyers, and lenders operating in the Bay Area at the time, the central question was whether the city's housing engine still had room to run or whether a long climb had already priced in every reasonable expectation. The setup favored optimism: a tech-led economy was expanding, confidence was rebuilding, and the monthly cadence of the data gave decision-makers a clear rhythm to test their convictions against.
What actually unfolded was almost unnervingly smooth. The maximum drawdown over the entire thirty-month window was just 0.7%, and the largest single-bar move was only 2.2%, meaning there was no month dramatic enough to register as a shock and no pullback deep enough to force a rethink. Two of the six decision points scattered through the replay were flagged as critical, the moments where the historical record shows that the path forward genuinely depended on the choice made. Yet the underlying price action rewarded persistence: a participant who simply stayed engaged with each monthly decision point would have watched the index climb steadily from the low sixties to the mid-nineties without ever confronting a real crisis.
For decision training, the lesson is less about heroics and more about temperament. A 36.3% advance with a 0.7% drawdown can lull a learner into believing that every month will be easy, which is precisely the mindset that breaks when a later era introduces real volatility. The exercise here is to practice holding a process through comfortable bars, logging decisions at the marked points, and noticing when confidence tips from disciplined into complacent. Sound risk habits are built in calm markets as much as in chaotic ones, and this replay is a laboratory for that quieter discipline.