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Minneapolis Historical Replay: 1999-03 to 2001-08

PropertyCity IndexUSBubble1999-03 to 2001-08Difficulty 3/5FreeView charts

Replay 30 monthly bars from 1999-03 to 2001-08 as Minneapolis-area property prices climbed 35.9% to 122.86. Step through each historical day, face 6 decision points including 2 critical turns, and get an AI coach review in this simulated learning environment.

30K lines
6Decision points
3Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 1999-03 to 2001-08 · Property

Key facts

Max run-up
+35.9%
Largest single-month move
+1.8%
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

In early 1999, the Minneapolis-area residential market entered a sustained ascent that would carry through the summer of 2001. Over 30 monthly bars spanning from 1999-03 to 2001-08, prices climbed steadily as easy credit conditions and regional job growth fed demand. This period corresponds to the early phase of the broader subprime boom, when property valuations in mid-sized U.S. cities began their steep trajectory upward. Six decision points were embedded across the dataset, two of which presented critical turns where directional conviction was tested.

The index moved from 90.42 to 122.86, delivering a 35.9% cumulative return. The max drawdown registered at 0.0%, reflecting an exceptionally smooth upward path with no meaningful pullback. The largest single-bar move measured just 1.8%, underscoring low volatility throughout. These statistics capture a market that rewarded patience and trend-following, but also one that offered few warning signals through traditional risk metrics.

This replay sharpens decision training by confronting participants with a seemingly frictionless uptrend where conventional risk controls—drawdown limits, volatility filters—would have registered as quiet. The two critical decision points force traders to articulate their entry logic and exit discipline in the absence of obvious stress. Core lessons center on process fidelity: defining entry criteria before the bar opens, managing position size against the 1.8% single-bar ceiling, and maintaining psychological readiness when the market offers no visible threat. Historical context across the 1990s and 2000s reminds us that calm charts can conceal structural shifts.