Beijing, China Historical Replay: 2016-02 to 2018-07
Replay 30 monthly bars from 2016-02 to 2018-07 as a single Chinese property market gained 24.3%. Step into 6 decision points across the bubble cycle and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2016-02 to 2018-07 · Property
Key facts
Peak-to-trough drawdown of 1.0% with a 24.7% run-up.
- Max drawdown
- −1.0%
- Max run-up
- +24.7%
- Largest single-month move
- +4.9%
- 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 2016, Beijing's residential property market entered a period that would test the assumptions of even seasoned observers. Over 30 monthly bars spanning February 2016 to July 2018, this single Chinese city became a living laboratory for understanding how credit cycles, regulatory shifts, and social dynamics interact in an urban real estate market. The scenario captures six decision points—two marked as critical—immersing participants in the psychological pressure of timing entry and exit during a phase commonly characterized as a bubble cycle within the broader 2010s decade.
The price trajectory moved from 140.14 to 174.18, delivering a cumulative return of 24.3% over the 30-month window. Notably, the maximum drawdown recorded was a remarkably shallow 1.0%, suggesting that corrective pullbacks offered limited warning signals. The largest single monthly candle measured 4.9%, indicating that outsized moves occurred but remained the exception rather than the norm. Six decision points punctuated this journey, inviting participants to respond to emerging data rather than simply observe the aggregate outcome.
For decision training, this replay illuminates how shallow drawdowns can breed complacency, even when the structural environment carries bubble characteristics. The 1.0% maximum drawdown figure challenges participants to consider whether low historical volatility alone justifies continued exposure. Process discipline—updating convictions at each of the six decision points—matters more than predicting whether 24.3% returns will repeat. Psychologically, the scenario trains participants to distinguish between a calm-looking price series and an underlying environment where policy risk and credit conditions may shift suddenly, as they did across China's property markets in subsequent periods.
Featured in the archive