Minneapolis Historical Replay: 2019-05 to 2021-10
Replay Minneapolis housing from May 2019 to October 2021 across 30 monthly bars, watching prices climb 22.7% after a brief dip. You navigate 6 decision points, including 2 critical moments, with simulated capital and an AI coach reviewing each choice for educational insight.
30 monthly bars · 6 decision points · 2019-05 to 2021-10 · Property
Key facts
Peak-to-trough drawdown of 1.7% with a 22.8% run-up.
- Max drawdown
- −1.7%
- Max run-up
- +22.8%
- Largest single-month move
- +2.3%
- 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
The Minneapolis housing market enters the analysis window in May 2019, a period when the 2010s real estate cycle was transitioning into a new decade. Over the next 30 months, spanning from May 2019 to October 2021, participants track monthly price data while confronting the unprecedented shock of a global pandemic. With 6 decision points embedded in the timeline, including 2 critical moments, the scenario immerses learners in authentic market uncertainty during a once-in-a-generation health crisis.
The price trajectory reveals a pattern of resilience: starting at 177.11, the market endured a maximum drawdown of 1.7% before embarking on its recovery. Prices ultimately climbed to 217.39, representing a cumulative gain of 22.7% across the 30-month span. The largest single monthly move of 2.3% captures the volatility spike that accompanied pandemic uncertainty, while the relatively contained drawdown illustrates how dramatic external events may produce limited permanent capital impairment in certain real estate segments.
This replay hones decision training by exposing learners to the psychological pressures of market timing during crisis periods. The compressed timeline and defined decision points force participants to act without perfect information, mirroring the real cognitive load of managing positions under stress. The experience teaches that process discipline matters more than outcome predictions, and that distinguishing between temporary price noise and structural market shifts requires both emotional regulation and systematic risk assessment. By navigating these 30 months with simulated capital, learners build experiential memory for managing portfolios through existential-level events.