US 10-City Composite Historical Replay: 1996-03 to 1998-08
Replay 30 monthly bars of US 10-city property data spanning 1996-03 to 1998-08, watching the index climb 14.2% from 77.17 to 88.14. Make decisions across six key decision points in this simulated, educational environment, then receive an AI coach review of your historical reasoning.
30 monthly bars · 6 decision points · 1996-03 to 1998-08 · Property
Key facts
- Max run-up
- +14.2%
- Largest single-month move
- +0.9%
- 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
This replay captures thirty monthly bars of US ten-city composite property data between 1996-03 and 1998-08, a period that defined the steady ascent phase of the 1990s property cycle. The market offered six decision points—two of them critical—as investors navigated an environment where gains were measured in patient, incremental accumulation rather than dramatic windfalls. What was at stake was the ability to maintain conviction and process discipline when volatility remained muted and the temptation to second-guess each modest move was constant.
The index climbed 14.2% over these thirty months, rising from 77.17 to 88.14. Notably, the maximum drawdown registered 0.0%, reflecting the absence of meaningful retracements, while the largest single-bar move reached only 0.9%—underscoring a market characterized by controlled, gradual price discovery. The challenge for participants was not surviving volatility but rather sustaining engagement and decision quality when external pressures to act aggressively were minimal.
This scenario distills several essential lessons for decision training. Process becomes paramount: with markets rising steadily and drawdowns essentially nonexistent, participants must confront whether their frameworks can generate conviction without the urgency of crisis. Risk management transforms from crisis mitigation to position stewardship—ensuring that the absence of losses does not breed complacency. Psychologically, the temptation to overtrade or chase small movements becomes the primary hazard when the largest daily shift barely registers at 0.9%. The core insight is that disciplined decision-making matters as much—or more—in tranquil markets as it does during turbulent ones.