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US 10-City Composite Historical Replay: 2015-04 to 2017-09

PropertyCity IndexUSBoom2015-04 to 2017-09Difficulty 2/5FreeView charts

Replay 30 months of the US 10-City Composite from April 2015 to September 2017, watching the index climb 12.2% with zero drawdown. You will walk through every monthly bar, tackle six decision points, and receive an AI coach review of each simulated choice.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2015-04 to 2017-09 · Property

Key facts

Max run-up
+12.2%
Largest single-month move
+0.7%
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 US 10-City Composite index provides a comprehensive view of residential property values across America's major metropolitan markets. This replay covers the period from April 2015 to September 2017, spanning 30 monthly bars across the 2010s decade. During this interval, participants faced the challenge of navigating a sustained uptrend in urban real estate values while managing six distinct decision points, two of which the scenario designates as critical junctures where market conditions demanded sharper judgment.

The index moved from 192.58 to 216.01, achieving a total return of 12.2% with zero drawdown throughout the entire period. The largest single monthly advance registered just 0.7%, indicating a remarkably steady appreciation pattern devoid of significant volatility spikes. Such gradual but consistent progress tested whether participants could remain disciplined without the psychological pressure of large corrections or dramatic reversals.

For decision training, this scenario excels at teaching process over prediction. When a market delivers 12.2% with 0.0% maximum drawdown, the lesson is not about finding the next boom but about maintaining systematic position sizing and risk management regardless of apparent smoothness. Participants must practice the discipline of not overleveraging "easy" trends and of respecting position limits even when the environment feels forgiving. The psychological dimension emerges in handling six decision points with two critical: remaining objective and process-driven prevents complacency from eroding judgment during extended advances.