US National (Case-Shiller, 2000+) Historical Replay: 2015-04 to 2017-09
Replay 30 monthly bars of the U.S. national Case-Shiller index from 169.95 to 194.79, a 14.6% climb with minimal 0.1% drawdowns. You make month-by-month decisions across 6 decision points and receive AI coach feedback in this simulated training environment.
30 monthly bars · 6 decision points · 2015-04 to 2017-09 · Property
Key facts
Peak-to-trough drawdown of 0.1% with a 14.6% run-up.
- Max drawdown
- −0.1%
- Max run-up
- +14.6%
- Largest single-month move
- +1.1%
- 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.
Related scenarios
- US National (Case-Shiller, 2000+) Historical Replay: 2015-07 to 2017-122015 · Lv.2
- China National (Real Estate Climate Index, 1998+) Historical Replay: 2015-03 to 2017-102015 · Lv.2
- US National (Case-Shiller, 2000+) Historical Replay: 2016-06 to 2018-112016 · Lv.2
- China National (Real Estate Climate Index, 1998+) Historical Replay: 2016-03 to 2018-102016 · Lv.1
- US National (Case-Shiller, 2000+) Historical Replay: 2016-03 to 2018-082016 · Lv.3
- US National (Case-Shiller, 2000+) Historical Replay: 2014-09 to 2017-022014 · Lv.2
Event Replay
What happened — and what it teaches
This scenario replays 30 monthly bars of the U.S. national Case-Shiller home price index, spanning from April 2015 to September 2017. The period falls squarely within the post-crisis recovery decade of the 2010s, when housing markets had stabilized but uncertainty lingered about sustainability and policy direction. Participants face the challenge of navigating a market characterized by steady appreciation but limited short-term volatility, requiring disciplined position management across 6 decision points, including 2 critical junctures.
The index climbed from 169.95 to 194.79, delivering a total return of 14.6%. The journey was remarkably smooth, with an almost negligible maximum drawdown of just 0.1%. The largest single monthly advance measured a modest 1.1%, indicating a low-volatility environment that tested participants' ability to maintain conviction in a gradually rising market rather than chase short-term fluctuations.
For decision training, this replay demonstrates how low volatility itself becomes a psychological test. When drawdowns are microscopic and price action is subdued, the temptation may arise to overtrade or second-guess a holding strategy. The 6 decision points across this tranquil climb offer a sandbox for practicing position sizing, rebalancing discipline, and emotional regulation under conditions where market feedback provides little urgency. Mastering such environments builds the composure needed when high-stakes volatility eventually returns.
Featured in the archive