Minneapolis Historical Replay: 1998-03 to 2000-08
Replay Minneapolis from 1998-03 to 2000-08 across 30 monthly bars as the city housing boom lifted closes 30.1% to 108.01. You move through the timeline bar by bar, hit six decision points, and receive an AI coach review on each choice in a simulated educational environment.
30 monthly bars · 6 decision points · 1998-03 to 2000-08 · Property
Key facts
- Max run-up
- +30.1%
- Largest single-month move
- +1.7%
- 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 Minneapolis property market in the late 1990s offered a front-row seat to a sustained urban housing boom. Between March 1998 and August 2000, city property values climbed steadily across 30 monthly bars, reflecting the economic optimism and population growth that characterized midwestern cities during the dot-com era. Six decision points punctuated this journey, challenging participants to navigate an environment where gains accumulated gradually without dramatic corrections. The stakes were clear: understanding how to position capital in a rising but volatile city market, where the absence of sharp pullbacks could breed complacency about risk management.
The data reveals a remarkably clean uptrend. Close prices advanced from 83.03 to 108.01, translating to a 30.1% return over the 30-month span. Notably, the maximum drawdown stood at 0.0%, indicating no period where positions fell below their entry point, while the largest single-bar move of just 1.7% reflected disciplined, incremental price discovery. This combination—a substantial cumulative gain achieved through measured, consistent moves rather than volatile spikes—created an environment where both patience and conviction were rewarded. Participants faced the psychological challenge of maintaining strategy through months of steady appreciation without becoming overconfident.
For decision training purposes, this scenario isolates several critical lessons. First, a 0.0% maximum drawdown tests whether traders have appropriate stop-loss frameworks even in favorable trends. Second, the modest 1.7% largest bar move underscores that volatility management remains essential regardless of directional clarity. Third, the six decision points required participants to articulate entry and exit rationale repeatedly, building the habit of rule-based positioning that transfers across market conditions. The Minneapolis boom demonstrates that calm, structured decision-making during low-stress bull markets builds the foundation for resilience when markets inevitably become turbulent.
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