New York Historical Replay: 2009-11 to 2012-04
Replay New York's 2009-11 to 2012-04 property collapse across 30 monthly bars, with prices falling 8.5% and a max drawdown of 10.1%. Walk through each decision point day by day, respond to 2 critical forks, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2009-11 to 2012-04 · Property
Key facts
Peak-to-trough drawdown of 10.1% with a 4.8% run-up.
- Max drawdown
- −10.1%
- Max run-up
- +4.8%
- Largest single-month move
- −1.7%
- 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.
Related scenarios
- US 10-City Composite Historical Replay: 2009-11 to 2012-042009 · Lv.1
- US 20-City Composite Historical Replay: 2009-11 to 2012-042009 · Lv.2
- Seattle Historical Replay: 2009-11 to 2012-042009 · Lv.2
- Phoenix Historical Replay: 2009-11 to 2012-042009 · Lv.1
- San Diego Historical Replay: 2009-11 to 2012-042009 · Lv.1
- Minneapolis Historical Replay: 2009-11 to 2012-042009 · Lv.3
Event Replay
What happened — and what it teaches
Between 2009 and 2012, New York City property markets confronted the long shadow of the global financial crisis. Across 30 monthly bars spanning November 2009 to April 2012, investors and analysts faced a market grinding through an extended bottoming phase. The decade covered both the late 2000s collapse and the tentative early recovery of the 2010s, making every allocation decision feel consequential against this backdrop of lingering uncertainty.
The price index retreated from 172.65 to 157.95, an 8.5% decline over the period. The maximum drawdown reached 10.1%, while the largest single monthly move measured just 1.7%, reflecting a slow-motion erosion rather than sudden panic. Six decision points punctuated this stretch, with two marked as critical forks where directional conviction truly mattered. The market offered no dramatic crashes, only patient grinding downside with brief pauses for reflection.
This replay trains decision-makers to operate in environments where volatility is subdued but losses accumulate quietly. The challenge lies not in reacting to dramatic swings but in maintaining discipline when each individual month feels manageable yet the cumulative toll grows. Participants must practice calibrating position sizing for extended drawdowns, managing psychological fatigue across 30 bars of mostly downward drift, and recognizing that the absence of panic does not equal safety. The two critical decision points test whether learners can update views systematically without being thrown off by the persistent, moderate pressure of a declining market.
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