Shanghai, China Historical Replay: 2014-03 to 2016-08
Replay 30 monthly bars from 2014-03 to 2016-08 as China Shanghai's property market swung from 126.1 to 179.11 amid a 6.2% drawdown. Step through each historical day, face 6 decision points, and receive an AI coach review in this simulated training scenario.
30 monthly bars · 6 decision points · 2014-03 to 2016-08 · Property
Key facts
Peak-to-trough drawdown of 6.2% with a 51.0% run-up.
- Max drawdown
- −6.2%
- Max run-up
- +51.0%
- 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
In early 2014, China's Shanghai property market faced a critical inflection point. The index stood at 126.1 as the market grappled with elevated inventory levels and mounting downward price pressure. Over the next 30 months, participants would navigate a complex landscape shaped by evolving policy signals, credit conditions, and shifting buyer sentiment—all while managing the psychological weight of decisions that carried significant financial consequences.
The Shanghai property index ultimately climbed to 179.11, delivering a 42.0% return over the 2014-03 to 2016-08 period. Yet the journey was far from linear. The market experienced a maximum drawdown of 6.2%, with the largest single monthly move reaching 5.2%. These fluctuations forced participants to confront volatility rather than simply benefit from an upward trend, revealing how sideways and corrective phases tested conviction and risk discipline equally.
This replay emphasizes process over prediction. With six decision points—two marked as critical—participants learned to respond to unfolding data rather than rely on forecasts. The 6.2% drawdown reminded traders that losses are inevitable and that managing exposure matters more than avoiding discomfort. Psychology plays the decisive role: calm adherence to a strategy during a 5.2% monthly swing distinguishes trained decision-makers from reactive ones. The simulation trains the habit of acting from analysis rather than reacting to noise, building resilience for future market cycles.