Minneapolis Historical Replay: 1995-04 to 1997-09
Replay Minneapolis property markets across 30 monthly bars from April 1995 to September 1997, watching the index climb 9.6% with only a 0.8% drawdown. Step through the six decision points in this educational simulation and receive an AI coach review of your choices.
30 monthly bars · 6 decision points · 1995-04 to 1997-09 · Property
Key facts
Peak-to-trough drawdown of 0.8% with a 10.2% run-up.
- Max drawdown
- −0.8%
- Max run-up
- +10.2%
- Largest single-month move
- +2.1%
- 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: 1995-04 to 1997-091995 · Lv.2
- New York Historical Replay: 1995-04 to 1997-091995 · Lv.2
- Boston Historical Replay: 1995-04 to 1997-091995 · Lv.2
- Atlanta Historical Replay: 1995-04 to 1997-091995 · Lv.2
- San Diego Historical Replay: 1995-04 to 1997-091995 · Lv.1
- Phoenix Historical Replay: 1995-04 to 1997-091995 · Lv.2
Event Replay
What happened — and what it teaches
The Minneapolis property market enters a sustained climb across 30 monthly bars spanning from April 1995 through September 1997. This was a period of steady economic expansion in the American Midwest, where regional real estate values reflected broader confidence in commercial and residential development. Six decision points punctuate this historical replay, with two emerging as critical junctures where strategic choices could have meaningfully altered outcomes.
The index moved from 75.07 to 82.26, delivering a total return of 9.6% over the 30-month window. What stands out is the remarkable steadiness of this advance: the maximum drawdown registered just 0.8%, while the largest single monthly move measured only 2.1%. These figures paint a picture of orderly appreciation without the dramatic swings that often dominate market narratives, presenting participants with a scenario defined more by patience than by urgency.
For decision training purposes, this replay teaches that stable, grinding markets demand their own form of discipline. The temptation to overtrade or chase momentum in a low-volatility environment can erode the very edge that patience provides. Participants must learn to calibrate position sizing, set realistic expectations, and maintain psychological equilibrium when the market offers no dramatic cliffs to navigate. The two critical decision points test whether trainees can recognize opportunity without mistaking tranquility for stagnation.
Featured in the archive