Beijing, China Historical Replay: 2018-11 to 2021-04
Replay a Beijing property market scenario stretching 30 monthly bars from 2018-11 to 2021-04, capturing a 46.5% drawdown. Step through each historic bar, face 6 decision points, and receive an AI coach review in a fully simulated educational environment.
30 monthly bars · 6 decision points · 2018-11 to 2021-04 · Property
Key facts
Peak-to-trough drawdown of 46.5% with a 8.4% run-up.
- Max drawdown
- −46.5%
- Max run-up
- +8.4%
- Largest single-month move
- −46.5%
- 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 scenario recreates Beijing's property market during a period marked by significant turbulence. Over 30 monthly bars spanning from 2018-11 to 2021-04, participants face the challenge of navigating one of the most volatile eras in the city's real estate history. This replay captures a complete market cycle where the stakes involved substantial capital, policy shifts, and psychological pressures that tested even experienced investors.
The market experienced a dramatic contraction, with prices falling from 175.57 to 103.3, representing a -41.2% decline. The maximum drawdown reached 46.5%, while the largest single-bar move matched this extreme at 46.5%, highlighting the severity of volatility during this period. Six decision points punctuate the replay, with two marked as critical junctures where the gap between right and wrong choices likely determined whether a participant preserved capital or suffered irreversible losses.
This replay teaches that process discipline matters more than prediction in bubbles. The lesson centers on three pillars: position sizing that survives maximum drawdowns, emotional management when facing 46.5% declines, and the humility to recognize when market structures break. For decision training, the scenario forces participants to confront the psychological trap of loss aversion and the dangerous comfort of anchoring to entry prices. Completing this replay builds the mental frameworks needed to survive environments where conventional wisdom fails and survival becomes the primary objective.
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