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Boston Historical Replay: 2017-04 to 2019-09

PropertyCity IndexUSBoom2017-04 to 2019-09Difficulty 2/5FreeView charts

Replay Boston's property market across 30 monthly bars from 2017-04 to 2019-09, watching the close climb 12.3% to 223.78. Step through each historic day, face 6 decision points, and receive an AI coach review in this simulated, educational drill.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2017-04 to 2019-09 · Property

Key facts

Peak-to-trough drawdown of 1.4% with a 12.8% run-up.

Max drawdown
−1.4%
Max run-up
+12.8%
Largest single-month move
+1.8%
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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 property market between 2017-04 and 2019-09 represented a steady climb through the latter half of the 2010s, a period when urban real estate was attracting renewed institutional attention. This 30-month replay across 30 monthly bars places participants in a market that had already established its recovery trajectory and was now navigating modest growth with limited volatility. The scenario asks: how do you manage positions when the trend is positive but the margin for error is narrow?

The data reveals a market that rewarded patience and discipline. Close prices moved from 199.19 to 223.78, delivering a 12.3% cumulative return over the period. What stands out is the controlled risk environment—maximum drawdown reached only 1.4% and the largest single-bar move was just 1.8%, suggesting a market that rarely surprised participants with violent swings. Across these 30 bars, traders faced 6 decision points, with 2 deemed critical, testing their ability to respond to nuanced shifts rather than dramatic reversals.

For decision training, this replay emphasizes process over prediction. The shallow drawdown numbers remind us that not all markets demand aggressive hedging—sometimes the greater challenge is staying the course. Participants must practice calibrating conviction to evidence, knowing when the steady advance justifies holding positions through minor pullbacks. The 6 decision points serve as checkpoints for evaluating whether your analysis framework remains aligned with market behavior, making this scenario ideal for honing disciplined, evidence-driven decision-making under conditions of low volatility and moderate reward.