China National (Real Estate Climate Index, 1998+) Historical Replay: 2018-12 to 2021-05
Replay 30 months of China's national property index from 2018-12 to 2021-05, watching it close at 101.18 after a 4.3% drawdown. You navigate 6 decision points day-by-day, face 2 critical choices, and receive an AI coach review, all on simulated capital.
30 monthly bars · 6 decision points · 2018-12 to 2021-05 · Property
Key facts
Peak-to-trough drawdown of 4.3% with a 4.1% run-up.
- Max drawdown
- −4.3%
- Max run-up
- +4.1%
- Largest single-month move
- −2.9%
- 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
The replay takes you through China's national property climate index over a 30-month period from December 2018 to May 2021. This span crosses the late 2010s into the early 2020s, capturing the unprecedented shock of the COVID-19 pandemic that emerged in early 2020. The index, which tracks the vitality of China's real estate sector, had been relatively stable before the health crisis disrupted economic activity nationwide. Participants must navigate this historically significant period with only the information available at each point in time, facing genuine uncertainty about how the property market would respond to a once-in-a-generation public health emergency.
Over the full replay, the index drifted from an opening level of 101.87 to close at 101.18, representing a modest decline of -0.7%. However, the journey was far from smooth. The market experienced a maximum drawdown of 4.3% during the period, with the largest single monthly move reaching 2.9% as the pandemic's impact rippled through the economy. This asymmetry between the headline return and the actual volatility experienced by investors illustrates why short-term performance metrics can be deeply misleading about the true risk environment.
This scenario excels as a decision-training exercise precisely because the numbers tell only part of the story. The 6 decision points, including 2 critical junctures, force participants to act under pressure without knowing how the recovery would unfold. Trainees encounter the psychological temptation to panic-sell near the drawdown bottom or to overstay during false recoveries. The AI coach review afterward allows learners to compare their process against what the historical record actually showed, building intuition for managing risk in environments where uncertainty is the only certainty.
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