Minneapolis Historical Replay: 2006-10 to 2009-03
Replay Minneapolis real estate from October 2006 through March 2009 as prices fell 35.8% across 30 monthly bars. You step through the housing crash day by day, face critical decision points, and receive an AI coach review of every choice, all in a simulated educational setting.
30 monthly bars · 6 decision points · 2006-10 to 2009-03 · Property
Key facts
Peak-to-trough drawdown of 35.8% with a 2.9% run-up.
- Max drawdown
- −35.8%
- Max run-up
- +2.9%
- Largest single-month move
- −5.9%
- 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.
Related scenarios
- US 10-City Composite Historical Replay: 2006-12 to 2009-052006 · Lv.3
- US 20-City Composite Historical Replay: 2006-12 to 2009-052006 · Lv.3
- Seattle Historical Replay: 2006-12 to 2009-052006 · Lv.3
- Boston Historical Replay: 2006-12 to 2009-052006 · Lv.2
- Phoenix Historical Replay: 2006-12 to 2009-052006 · Lv.3
- Minneapolis Historical Replay: 2006-12 to 2009-052006 · Lv.4
Event Replay
What happened — and what it teaches
The setting is Minneapolis residential property, October 2006. By this point the national housing boom had run its course, and the market was entering a period of severe contraction that would reshape the American real estate landscape for years to come. Participants entering this replay face 30 monthly bars of authentic historical data, navigating six decision points—two flagged as critical—while prices cascade downward. The question is not whether the market fell, but how a practitioner processes deteriorating conditions under uncertainty.
The numbers tell a stark story. From a baseline of 170.64, Minneapolis prices descended to 109.58, a total decline of 35.8% that materialized across the 30-month window. The largest single monthly move registered 5.9%, underscoring that even in a prolonged downtrend, individual bars can deliver sharp jolts. Maximum drawdown matched the overall decline at 35.8%, meaning there was no meaningful recovery within the replay period to provide relief or an obvious exit signal.
The replay's teaching value centers on process discipline under systemic risk. With six decision points embedded in the timeline, practitioners must repeatedly confront the psychological difficulty of holding positions through continuous erosion, adjusting exposure as conditions worsen, and recognizing when historical patterns no longer apply. The educational purpose is not to predict the bottom but to train the decision-making apparatus—position sizing, emotional regulation, and the humility to acknowledge when the underlying thesis has shifted. This scenario anchors those skills in one of the most consequential real estate collapses in modern American history.