New York Historical Replay: 1995-04 to 1997-09
Replay 30 monthly bars of New York city property data from April 1995 to September 1997, when prices climbed just 6.5% to a close of 82.8. Step through each historic decision point and receive an AI coach review in this simulated, educational training environment.
30 monthly bars · 6 decision points · 1995-04 to 1997-09 · Property
Key facts
Peak-to-trough drawdown of 0.7% with a 6.5% run-up.
- Max drawdown
- −0.7%
- Max run-up
- +6.5%
- Largest single-month move
- +1.2%
- 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
This scenario replays 30 monthly bars of New York city property data from April 1995 to September 1997, a period when the US property market was navigating the tail end of a recovery in the 1990s. Six decision points are embedded in the replay, including two marked as critical. Participants must interpret the data as it unfolds, without knowledge of what follows, and make choices that reflect how they would have handled the period in real time.
Prices rose modestly from 77.77 to 82.8, representing a 6.5% advance over the two-year window. The climb was remarkably smooth: the maximum drawdown never exceeded 0.7%, and the largest single monthly move was just 1.2%. The market delivered steady, grinding appreciation rather than explosive growth, rewarding patience and discipline over dramatic tactical bets.
For decision training, this scenario illustrates how low volatility can be both a comfort and a trap. The gentle slope of this advance tests whether participants can maintain disciplined processes when the market offers few dramatic signals. The contrast between the tranquil surface and the two critical decision points reveals how risk management differs in range-bound environments—where the absence of excitement itself becomes a psychological challenge. Participants learn that consistent methodology matters as much in quiet markets as in volatile ones, and that overconfidence in stability can be as dangerous as panic in turbulent ones.
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