US National (Case-Shiller, 2000+) Historical Replay: 2015-01 to 2017-06
Replay the US national Case-Shiller index from January 2015 through June 2017, watching prices climb 15.6% across 30 monthly bars. Step through each historical session, face 6 decision points including 2 critical junctures, and receive AI coach feedback in a simulated educational environment.
30 monthly bars · 6 decision points · 2015-01 to 2017-06 · Property
Key facts
Peak-to-trough drawdown of 0.1% with a 15.6% run-up.
- Max drawdown
- −0.1%
- Max run-up
- +15.6%
- 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.
Event Replay
What happened — and what it teaches
The replay places you inside the US national Case-Shiller home price index from January 2015 through June 2017, a period when the Federal Reserve resumed monetary normalization after years of near-zero rates. Housing markets were navigating the first post-crisis Fed tightening cycle, and the stakes involved understanding how policy shifts ripple through property valuations. Six decision points were embedded across thirty monthly bars, including two critical junctures where the trajectory could have diverged. You enter this environment to practice reading policy signals and managing positions through a historically measured cycle.
What unfolded was steady, grinding appreciation rather than dramatic moves. The index climbed from 166.23 to 192.24, delivering a 15.6% total return over the thirty-month span. The journey was marked by extraordinary calm: maximum drawdown measured just 0.1%, and the largest single monthly candle reached only 1.1%. These statistics place this period among the least volatile segments in recent housing market history, a reminder that not all trading environments demand aggressive action.
This replay trains your process discipline in a counterintuitive way. Low-volatility trends reward patience over reaction, yet they still demand active engagement at decision points. The lesson centers on calibrating conviction to evidence rather than movement magnitude. You practice recognizing that even modest price drift, sustained over thirty bars, compounds into meaningful shifts. The psychological challenge becomes maintaining analytical rigor when external noise suggests nothing is happening.