US 10-City Composite Historical Replay: 2019-05 to 2021-10
Replay 30 monthly bars of US 10-city property prices from May 2019 to October 2021, watching the index climb 28.1% even through a global pandemic. Step into 6 decision points, navigate each historical day, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2019-05 to 2021-10 · Property
Key facts
Peak-to-trough drawdown of 0.2% with a 28.1% run-up.
- Max drawdown
- −0.2%
- Max run-up
- +28.1%
- 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
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 property index offers a window into major metropolitan housing markets across the 2010s and 2020s. This replay spans 30 monthly bars from May 2019 to October 2021, a period that captures both pre-pandemic prosperity and the unprecedented disruption of a global health crisis. What was at stake was not just capital preservation but the ability to navigate one of the most volatile macroeconomic environments in modern history, where conventional assumptions about safe-haven assets were tested against sudden economic contraction.
The index rose from 228.4 to 292.66 over the 30-month window, delivering a cumulative return of 28.1% despite the pandemic shock. Remarkably, the maximum drawdown measured just 0.2%, while the largest single-bar move reached only 1.8%, reflecting the inherent stickiness in residential property valuations. These figures reveal how housing markets absorbed extreme uncertainty without the violent price swings seen in equities, though the compressed volatility also masked significant underlying shifts in demand patterns and monetary policy response.
This scenario places participants at 6 decision points, with 2 designated as critical junctures where directional calls could diverge sharply. The training value lies in resisting the urge to extrapolate short-term panic into permanent impairment, recognizing that real estate processes information slowly. Learners practice separating noise from signal, maintaining conviction through temporary dislocations, and avoiding recency bias when evaluating multi-year trends. The lesson is not about predicting outcomes but about building decision frameworks robust enough to perform across different market regimes.