Boston Historical Replay: 2015-04 to 2017-09
Boston property prices drifted upward across 30 monthly bars from April 2015 to September 2017, with a 1.4% max drawdown. Replay this steady city-boom month by month, weigh decisions at six points, and get an AI coach review on simulated capital.
30 monthly bars · 6 decision points · 2015-04 to 2017-09 · Property
Key facts
Peak-to-trough drawdown of 1.4% with a 16.7% run-up.
- Max drawdown
- −1.4%
- Max run-up
- +16.7%
- Largest single-month move
- +1.6%
- 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 residential property market entered a sustained growth phase in April 2015, setting the stage for a 30-month historical replay that would test decision-makers across the 2010s boom cycle. With six decision points embedded across the data span from April 2015 to September 2017, participants faced the challenge of navigating a steadily appreciating market while managing exposure during a period of remarkably low volatility. The stakes centered on capturing upside momentum without overextending positions in an environment where even modest fluctuations carried psychological weight.
The market delivered a measured advance, with prices climbing from 176.52 to 206, representing a total return of 16.7% across the 30 monthly bars. What distinguished this period was the extraordinary calm beneath the surface: the maximum drawdown stood at just 1.4%, and the largest single-bar move registered merely 1.6%. This tight trading range rewarded discipline but punished impulse, as even temporary hesitation or premature exits meant missing quiet but consistent appreciation over the full span.
For decision training purposes, this scenario exposes how low-volatility environments create their own psychological hazards. The absence of dramatic price swings can breed complacency or, conversely, restless overtrading as participants seek action. The critical lesson lies in maintaining process discipline when external triggers are sparse, understanding that consistent application of a sound framework across the full 30-bar horizon compounds into the full 16.7% gain. Participants must learn to distinguish between patience and inertia, acting with conviction at the two critical junctures while resisting the urge to manufacture decisions where none are warranted by market conditions.
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