New York Historical Replay: 2010-03 to 2012-08
Replay New York property prices across 30 monthly bars from 2010-03 to 2012-08, navigating a 10.1% drawdown in a post-crisis environment. You make decisions at six key points, receive an AI coach review after each, and learn through simulated capital only.
30 monthly bars · 6 decision points · 2010-03 to 2012-08 · Property
Key facts
Peak-to-trough drawdown of 10.1% with a 5.7% run-up.
- Max drawdown
- −10.1%
- Max run-up
- +5.7%
- Largest single-month move
- +1.9%
- 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.
Related scenarios
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- Minneapolis Historical Replay: 2010-03 to 2012-082010 · Lv.3
- Phoenix Historical Replay: 2010-03 to 2012-082010 · Lv.2
- Seattle Historical Replay: 2010-03 to 2012-082010 · Lv.1
- San Diego Historical Replay: 2010-03 to 2012-082010 · Lv.1
Event Replay
What happened — and what it teaches
The scenario transports participants to the New York property market during a fragile post-crisis recovery. Over 30 monthly bars from 2010-03 to 2012-08, a market that had already absorbed massive dislocation now faced the challenge of finding stability amid lingering uncertainty. Six decision points are embedded across this span, two flagged as critical, demanding participants navigate without the clarity of hindsight.
What unfolds is a period of grinding consolidation. Prices drift from 169.26 to 166.41, a net decline of just 1.7%, yet this masks a more turbulent journey. The maximum drawdown of 10.1% tests conviction, while the largest single monthly move of 1.9% reminds participants how quickly sentiment can shift. Those who treated this as a simple buying opportunity likely found themselves underwater; those who respected the underlying volatility maintained flexibility to act when genuine signals emerged.
This replay hones the ability to distinguish between noise and information in sideways markets. Participants learn to size positions according to realistic drawdown scenarios, avoiding the trap of premature conviction. The psychological dimension is equally demanding: remaining disciplined when progress is incremental and false breakouts are common. By replaying this period, decision-makers build the emotional resilience and systematic rigor needed when markets offer no easy answers.
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