New York Historical Replay: 2019-05 to 2021-10
Replay New York property from May 2019 to October 2021 across 30 monthly bars, with prices closing up 24.2%. Work through 6 decision points, including 2 critical ones, and receive an AI coach review of each simulated choice.
30 monthly bars · 6 decision points · 2019-05 to 2021-10 · Property
Key facts
Peak-to-trough drawdown of 0.1% with a 24.2% run-up.
- Max drawdown
- −0.1%
- Max run-up
- +24.2%
- Largest single-month move
- +2.1%
- 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
The replay puts participants inside the New York city property market from May 2019 to October 2021, covering 30 monthly bars and spanning the 2010s and 2020s. This window captures the early‑stage optimism of a rising market, the shock of the COVID‑19 pandemic, and the subsequent recovery, all of which forced investors to weigh health‑related uncertainty, policy interventions, and shifting demand in real time.
During the 30‑month stretch the market closed at 249.05, up from an opening close of 200.53, a rise of 24.2 %. The deepest trough was a modest 0.1 % drawdown, while the largest single‑month move reached only 2.1 %, indicating that, despite headline turbulence, price fluctuations remained relatively contained.
The scenario offers six decision points, two flagged as critical, demanding that participants act under pressure and reassess risk exposure. Training focuses on process discipline—setting clear entry and exit rules—risk calibration using the tiny max drawdown as a benchmark, and psychological resilience to avoid panic when headlines suggest chaos. By replaying these months, learners practice balancing systematic analysis with the emotional control needed when markets move unexpectedly.