Shanghai, China Historical Replay: 2021-03 to 2023-08
Replay 30 monthly bars of a Chinese city property market from March 2021 to August 2023, where prices closed up 9.8%. Walk through 6 decision points, including 2 critical moments, with an AI coach reviewing each simulated move.
30 monthly bars · 6 decision points · 2021-03 to 2023-08 · Property
Key facts
- Max run-up
- +9.8%
- Largest single-month move
- +0.7%
- 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.
Event Replay
What happened — and what it teaches
From March 2021 to August 2023, replay participants entered a Chinese city property market navigating one of its most turbulent periods. The scenario encompasses the well-documented payment stoppage wave of early 2022, when buyer confidence in pre-sale housing suffered unprecedented strain. Thirty monthly bars presented a landscape where macro headwinds, regulatory shifts, and sentiment volatility demanded disciplined engagement.
The market delivered a net positive outcome: prices rose from 103.3 to 113.41, representing a 9.8% cumulative close-to-close return over the 30-month span. Notably, the maximum drawdown registered at 0.0%, and the largest single monthly move measured just 0.7%. This unusual combination of modest absolute returns with minimal volatility tested participants across 6 decision points, including 2 critical junctures where conviction and timing determined trajectory.
The replay's greatest educational value lies in its quiet challenge to conventional crisis intuition. When headlines screamed systemic stress, the price data told a different story of resilience and range-bound movement. Participants learned that crisis periods often present muted price action rather than dramatic crashes, requiring patience and process discipline over reactive risk-taking. The low volatility environment (0.7% largest bar) became a training ground for emotional regulation—avoiding the trap of underestimating stable markets or overcorrecting to perceived danger.
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