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Minneapolis Historical Replay: 2017-04 to 2019-09

PropertyCity IndexUSBoom2017-04 to 2019-09Difficulty 2/5FreeView charts

Replay 30 months of Minneapolis property data from April 2017, where the index climbed 13.8% to 180.84. You make month-by-month decisions across six key turning points and receive an AI coach review, all on simulated capital for educational practice.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2017-04 to 2019-09 · Property

Key facts

Peak-to-trough drawdown of 1.7% with a 13.8% run-up.

Max drawdown
−1.7%
Max run-up
+13.8%
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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 residential market entered April 2017 in a steady expansion phase, riding a broader national property boom. For participants replaying this period, the central question was how to navigate a consistently rising market without becomingcomplacent about risk. With six decision points embedded across 30 months of monthly bars, the scenario tested both timing judgment and position management.

What unfolded was a textbook slow-burn rally: the index climbed from 158.89 to 180.84, delivering a 13.8% total return. Notably, the journey was exceptionally smooth—maximum drawdown never exceeded 1.7%, and the largest single monthly move was also 1.7%, reflecting a remarkably low-volatility environment. This tranquility, however, created its own trap: markets that rarely fluctuate can breed overconfidence and position overloading.

This replay teaches that disciplined process outweighs exciting narratives. In low-volatility booms, the greatest danger is not missing the move but assuming it will continue indefinitely. Practicing decisions at each of the six turning points—especially the two critical junctures—builds the habits of scale management and loss avoidance that matter most when conditions eventually shift. The 1.7% guardrails remind participants that small drawdowns compound into habits; larger ones break them.