US National (Case-Shiller, 2000+) Historical Replay: 2019-05 to 2021-10
Replay 30 monthly bars of the U.S. national Case-Shiller index from May 2019 to October 2021, watching home prices climb 30.7% to 273.57. Step through six decision points in this simulated pandemic-era housing scenario and receive an AI coach review of each call.
30 monthly bars · 6 decision points · 2019-05 to 2021-10 · Property
Key facts
- Max run-up
- +30.7%
- Largest single-month move
- +2.3%
- 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 U.S. national Case-Shiller home price index provides a front-row seat to one of the most counterintuitive economic episodes in recent memory. This 30-month replay from May 2019 to October 2021 captures the full arc of pandemic-era housing, spanning the 2010s and 2020s. Against a global health emergency that shuttered businesses and displaced millions of workers, housing markets defied expectations. Players navigate six decision points—including two critical junctures—while processing contradictory signals about supply, demand, and economic stability.
What unfolded was a steady climb rather than a crash. The index rose from 209.31 to 273.57, delivering a 30.7% return with zero maximum drawdown. The largest single monthly swing reached just 2.3%, reflecting remarkable stability. For trainees, the scenario tests the ability to resist panic selling during initial uncertainty, maintain conviction through volatile news cycles, and recognize that macro shocks do not uniformly translate into asset depreciation. The lesson centers on distinguishing between temporary disruption and structural decline—using process over prediction.
This replay challenges the assumption that crisis equals collapse. Participants must confront their own risk psychology: the temptation to exit at the first sign of turbulence, the difficulty of holding positions when headlines scream doom. The absence of a meaningful drawdown (0.0%) is itself a data point—it reminds traders that certain assets and time horizons exhibit resilience that short-term volatility obscures. By studying the 2010s and 2020s transition through this lens, learners develop frameworks for navigating ambiguity without succumbing to recency bias or emotional decision-making.