New York Historical Replay: 1993-03 to 1995-08
Replay 30 monthly bars of a New York city property boom from March 1993 to August 1995, where prices edged from 75.32 to 79.17. Step through each historical day, face six decision points, and receive an AI coach review on your simulated choices.
30 monthly bars · 6 decision points · 1993-03 to 1995-08 · Property
Key facts
Peak-to-trough drawdown of 1.7% with a 5.1% run-up.
- Max drawdown
- −1.7%
- Max run-up
- +5.1%
- Largest single-month move
- +1.0%
- 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: 1993-03 to 1995-081993 · Lv.1
- Boston Historical Replay: 1993-03 to 1995-081993 · Lv.2
- San Francisco Historical Replay: 1993-03 to 1995-081993 · Lv.1
- San Diego Historical Replay: 1993-03 to 1995-081993 · Lv.1
- Minneapolis Historical Replay: 1993-03 to 1995-081993 · Lv.2
- Seattle Historical Replay: 1993-03 to 1995-081993 · Lv.2
Event Replay
What happened — and what it teaches
In the early 1990s, New York city's property market was emerging from a painful recession that had battered valuations across the five boroughs. This replay simulates 30 monthly bars spanning March 1993 through August 1995, inviting participants to navigate a market that was learning to breathe again. Six decision points punctuate the journey, including two critical moments where conviction and timing could separate disciplined observers from reactive traders.
The numbers reveal a market in careful recovery: prices drifted from 75.32 to 79.17, a modest 5.1% gain over the full period. Volatility was subdued, with a maximum drawdown of just 1.7% and the largest single monthly move reaching only 1.0%. This was not a dramatic boom but a grinding, uncertain climb that tested the patience of anyone expecting quick returns.
For decision training, this scenario illuminates how low-volatility environments demand their own form of discipline. With minimal price noise, position sizing and timing become amplified factors. Participants must resist the temptation to overtrade in the absence of dramatic swings, while remaining alert to the two critical junctures where conviction matters most. The psychological lesson is clear: steady gains require steady nerves.
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