US National (FHFA, 1975Q1+) Historical Replay: 2013-04 to 2020-07
Replay 30 monthly U.S. national property bars from 2013-04 to 2020-07, watching the index climb 43.6% to 461.18. Step through decision points day by day, face 2 critical choices, and receive an AI coach review of your simulated capital decisions.
30 monthly bars · 6 decision points · 2013-04 to 2020-07 · Property
Key facts
- Max run-up
- +43.6%
- Largest single-month move
- +2.2%
- 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 FHFA national home price index replay spans 30 monthly bars from April 2013 to July 2020, covering the 2010s and into the early 2020s. This segment focuses on the December 2015 Federal Reserve interest rate hike—a pivotal policy moment that tested how markets absorbed the first of what would become a series of tightening moves. With 6 decision points embedded in the timeline, including 2 critical junctions, participants navigate the delicate balance between policy signals and market response.
The index climbed from 321.06 to 461.18, delivering a 43.6% total return over the full replay period. Notably, the maximum drawdown remained at 0.0%, and the largest single monthly move was just 2.2%. These metrics reveal a remarkably steady ascent even as monetary policy shifted, demonstrating how real estate valuations can absorb policy tightening without sharp reversals.
For decision training, this replay teaches patience and process discipline in low-volatility uptrends. The absence of meaningful pullbacks challenges participants to avoid overtrading or second-guessing a rising market. The critical decision points force learners to act when stakes peak, testing whether their framework can handle moments of concentrated impact. The lesson: steady gains require conviction, and policy-driven markets reward those who distinguish signal from noise.