New York Historical Replay: 2000-01 to 2002-06
Replay the early New York property bubble of 2000-01, when city prices climbed from an index of 100 toward 132.2 over thirty months. You walk each monthly bar, face six decision points, and receive an AI coach review on simulated capital only.
30 monthly bars · 6 decision points · 2000-01 to 2002-06 · Property
Key facts
- Max run-up
- +32.2%
- Largest single-month move
- +1.9%
- 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.
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- Atlanta Historical Replay: 2000-11 to 2003-042000 · Lv.2
- San Diego Historical Replay: 2000-11 to 2003-042000 · Lv.3
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Event Replay
What happened — and what it teaches
The early 2000s marked a pivotal chapter in New York property history. Between January 2000 and June 2002, city housing prices began an ascent that would reshape market psychology across the country. This thirty-month window captures the opening act of a bubble that many observers failed to recognize in real time. Participants in this replay face the challenge of navigating an era when prices moved with apparent steadiness, masking the vulnerabilities that would later emerge.
The replayed market advanced from an index of 100 to 132.2, delivering a nominal gain of 32.2% over thirty monthly bars. Notably, the maximum drawdown remained 0.0%, and the largest single monthly move registered just 1.9%. With six decision points embedded in the timeline—including two marked as critical—this scenario rewards disciplined analysis over reactive excitement. The low volatility profile creates a deceptive calm that tests whether a participant can distinguish between sustainable momentum and unsustainable excess.
This replay teaches that apparent stability can conceal evolving systemic risk. The absence of significant drawdowns and the modest single-bar movements invite complacency, yet the aggregate 32.2% appreciation in property values over two and a half years falls within bubble territory. Decision training here centers on recognizing when benign-looking price action reflects genuine value creation versus herd behavior. Participants learn to question consensus narratives, maintain position discipline, and resist the psychological pull of "this time is different." The two critical decision points serve as crucibles where process integrity determines whether one captures gains or builds vulnerabilities that surface later.