Shanghai, China Historical Replay: 2016-03 to 2018-08
Replay Shanghai's property market across 30 monthly bars from March 2016 to August 2018, capturing a 19.0% climb with only a 1.0% drawdown. Step through each historic day, tackle 6 decision points including 2 critical ones, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2016-03 to 2018-08 · Property
Key facts
Peak-to-trough drawdown of 1.0% with a 20.1% run-up.
- Max drawdown
- −1.0%
- Max run-up
- +20.1%
- Largest single-month move
- +5.2%
- 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
Shanghai's property market from March 2016 to August 2018 played out across 30 monthly bars in an era defined by national destocking campaigns and urban shanty-town renovation programs. Investors entered a market where policy tailwinds were reshaping the city's real estate landscape, confronting the challenge of positioning within a government-supported upswing while navigating the inherent uncertainties of leveraged asset classes. The stakes centered on capturing appreciation without overextending when moral hazard could quietly accumulate.
The index climbed from 154.71 to 184.09, delivering a 19.0% return over the full span. Remarkably, the maximum drawdown measured just 1.0%, reflecting a sustained uptrend with few meaningful pullbacks. The largest single-bar move reached 5.2%, underscoring that even orderly markets produce sudden shifts that can unsettle unprepared participants. This combination of solid gains and contained volatility made the period appear benign, yet hidden concentration risks persisted beneath the surface.
The scenario places participants at 6 decision points, including 2 critical junctures where directional conviction truly matters. This replay teaches that disciplined process outperforms prediction: staying systematic when returns feel easy, and maintaining psychological equilibrium when 5.2% monthly swings test resolve. For training purposes, the lesson is clear—low volatility periods build false confidence, and edge emerges from how one prepares for the unexpected, not merely the expected.
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