Shanghai, China Historical Replay: 2019-10 to 2022-03
A 30-month replay of a Shanghai property market slide that erased 43.3 percent from close to close, with a peak drawdown of 48.5 percent. Step through each monthly bar, navigate 6 decision points including 2 critical ones, and let the AI coach review your simulated calls.
30 monthly bars · 6 decision points · 2019-10 to 2022-03 · Property
Key facts
Peak-to-trough drawdown of 48.5% with a 5.0% run-up.
- Max drawdown
- −48.5%
- Max run-up
- +5.0%
- Largest single-month move
- −48.5%
- 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 Shanghai property market entered the replay period spanning 2019-10 to 2022-03 with substantial complexity. As one of China's most closely watched real estate arenas, Shanghai's trajectory during these 30 monthly bars carried weight beyond individual portfolios—affecting broader market sentiment, leverage conditions, and systemic risk perceptions across the 2010s and 2020s. Participants in this replay faced a market in transition, where the stakes extended to understanding how structural shifts could punish mispositioning.
The numbers tell a stark story. From a close of 189.68, the market descended to 107.5—a decline of -43.3 percent over the full span. The max drawdown reached 48.5 percent, meaning peak-to-trough losses nearly consumed half of invested capital at the worst point. The largest single-bar move matched that 48.5 percent figure, underscoring that volatility was not gradual but arrived in concentrated, punishing bursts. These metrics define the landscape that decision-makers had to navigate.
For training purposes, this replay distills several critical lessons. The presence of 6 decision points—2 deemed critical—tests whether participants can recognize inflection moments under uncertainty. The gap between -43.3 percent close-to-close loss and 48.5 percent maximum drawdown reveals how trailing stops and risk management protocols either protect or expose capital. Psychologically, the scenario pressures participants to confront loss aversion and the temptation to average down, offering a controlled environment to examine decision quality independent of real capital at risk.