US 10-City Composite Historical Replay: 2003-06 to 2005-11
Replay 30 monthly bars of the US 10-City Composite from June 2003 to November 2005, watching the index climb 47.5% with zero drawdown. Make decisions at 6 historical checkpoints, then review your choices with an AI coach in a simulated, educational environment.
30 monthly bars · 6 decision points · 2003-06 to 2005-11 · Property
Key facts
- Max run-up
- +47.5%
- Largest single-month move
- +1.9%
- 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.
Event Replay
What happened — and what it teaches
The US 10-City Composite Index from June 2003 to November 2005 offers a window into one of the most remarkable sustained rallies in modern real estate history. Over 30 monthly bars, this period represented the heart of the mid-decade housing expansion, when credit flowed freely and property values seemed destined only upward. Decision-makers entering this replay faced the fundamental challenge of every bubble environment: how to participate without getting burned.
The price trajectory proved relentlessly bullish. The index climbed from 149.13 to 219.94, delivering a 47.5% cumulative return across the full span. Most striking was the absence of any meaningful setback: max drawdown stood at 0.0%, and the largest single monthly move measured just 1.9%. With six decision points embedded in the timeline and two marked as critical, participants confronted multiple moments to test their conviction and positioning.
This replay isolates a crucial lesson about process versus outcome. A strategy producing 47.5% with zero drawdown looks flawless in hindsight, yet the educational value lies in examining how decisions were made under uncertainty. The challenge is maintaining discipline when volatility is absent and psychology pushes toward complacency or excess. For training purposes, the scenario demonstrates how periods of apparent stability can breed dangerous overconfidence, making it essential to evaluate decisions on their merits rather than on recent results.
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