US National (Case-Shiller, 2000+) Historical Replay: 2000-11 to 2003-04
From November 2000 to April 2003, the U.S. national Case-Shiller index climbed 20.5% to close at 130.49. Replay this bubble-era property market day by day, face six decision points, and receive AI coach feedback using simulated capital.
30 monthly bars · 6 decision points · 2000-11 to 2003-04 · Property
Key facts
- Max run-up
- +20.5%
- Largest single-month move
- +1.3%
- 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
From November 2000, the US housing market entered a new phase of expansion, laying the groundwork for what would later be recognized as the early bubble era. The Case-Shiller national index tracked this critical period month by month, capturing how low interest rates and easy credit began to inflate property values across the country. Six decision points—two flagged as critical—challenge participants to navigate this seemingly relentless upward trajectory while managing real capital exposure in a simulated environment.
Over the 30-month span, the index climbed from 108.29 to 130.49, delivering a 20.5% return. The market exhibited remarkable steadiness: the maximum drawdown registered at 0.0%, and the largest single monthly advance measured just 1.3%. This was not a dramatic parabolic rise but rather a persistent, grinding advance that offered few obvious entry or exit signals. The absence of meaningful pullbacks made momentum-based decisions appear straightforward in hindsight.
This replay teaches the danger of interpreting calm markets as inherently safe. A 0.0% drawdown can foster overconfidence, encouraging traders to concentrate exposure or ignore position sizing discipline. The scenario also reveals how slow, steady appreciation can blind participants to systemic risk accumulating beneath the surface. Six decision points force learners to confront recency bias—the temptation to project recent calm forward indefinitely—while practicing risk management in an environment that offers no obvious threat to punctuate caution.