Minneapolis Historical Replay: 2020-02 to 2022-07
Replay Minneapolis housing from February 2020 to July 2022, watching the market climb 31.4% across 30 monthly bars. Step into 6 decision points, navigate 2 critical moments, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2020-02 to 2022-07 · Property
Key facts
Peak-to-trough drawdown of 0.1% with a 31.6% run-up.
- Max drawdown
- −0.1%
- Max run-up
- +31.6%
- 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
Minneapolis residential property entered February 2020 as a conventional mid-tier American city market. What followed was a 30-month journey through historically unusual conditions: a global pandemic reshaping housing priorities, record-low interest rates fueling demand, and a regional inventory squeeze intensifying competition. Six decision points awaited participants, with two marked as critical junctures where directional conviction would be tested. The scenario asked a fundamental question for city-property analysis: how do you position when macro forces collide with local market dynamics?
The monthly close moved from 179.77 to 236.18, a cumulative advance of 31.4% across 30 bars. The max drawdown measured an unusually tight 0.1%, reflecting the persistent nature of the uptrend. The largest single-bar move registered 2.3%, suggesting this was not a volatile spike but a grinding, consistent climb. For anyone replaying this period, the challenge was not spotting the direction but managing position sizing and conviction across a market that offered few obvious exit signals.
The Minneapolis replay teaches that booms punish hesitation and overcaution equally. A 0.1% drawdown means stops would have been meaningless; the market simply rose. Yet the two critical decision points forced participants to commit capital without certainty that the move had exhausted itself. Psychologically, grinding trends test patience more than dramatic crashes test nerve. Decision training here centers on developing conviction frameworks for low-volatility trends and recognizing when persistent small advances, not dramatic reversals, represent the actual risk profile of a property boom.