Boston Historical Replay: 2021-12 to 2024-05
Replay Boston's housing market across 30 monthly bars from late 2021 through May 2024, when a 5.8% drawdown tested even patient holders. Step through each decision point, make your call, and receive an AI coach review of the simulated replay.
30 monthly bars · 6 decision points · 2021-12 to 2024-05 · Property
Key facts
Peak-to-trough drawdown of 5.8% with a 18.9% run-up.
- Max drawdown
- −5.8%
- Max run-up
- +18.9%
- Largest single-month move
- +2.9%
- 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
Boston's housing market replay covers 30 monthly bars from late 2021 through May 2024, a period that captured the market's response to the Federal Reserve's pivot toward tighter monetary policy. This stretch of the 2020s placed participants directly in the crosscurrents of rising borrowing costs colliding with sustained housing demand. Six decision points, two marked as critical, defined the landscape where every call on position management carried real consequence.
The market ultimately closed at 337.4, translating to an 18.9% gain from the opening level of 283.8. Yet the journey proved far from linear. A 5.8% maximum drawdown tested conviction, while the largest single monthly swing of 2.9% reminded participants that even measured volatility can unsettle portfolios. Those who held through the pullback were rewarded; those who reacted to short-term weakness ceded ground they could not easily recover.
This replay teaches that process trumps prediction. Patient holders who treated the drawdown as noise rather than signal fared better than those who optimized for immediate comfort. The 5.8% decline, though modest by equity standards, served as a forcing function for honest self-assessment: What is one's actual risk tolerance when numbers turn red? Replay training of this kind exposes the gap between theoretical appetite for risk and real emotional response, making it a powerful diagnostic tool for developing durable decision frameworks.
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