China National (Real Estate Climate Index, 1998+) Historical Replay: 2021-03 to 2023-08
Replay China's national property index from 2021-03 to 2023-08, watching it slide 7.7% across 30 months of authentic crisis-era data. You step through each monthly bar, face six decision points with two critical, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 2021-03 to 2023-08 · Property
Key facts
Peak-to-trough drawdown of 7.7% with a 0.4% run-up.
- Max drawdown
- −7.7%
- Max run-up
- +0.4%
- Largest single-month move
- −3.5%
- 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
In early 2021, China's national property climate index stood at the threshold of a sustained downturn that would reshape one of the world's largest real estate markets. Spanning 30 months through August 2023, this replay immerses you in the authentic market conditions that unfolded during a period marked by the notorious mortgage boycott wave of January 2022 and broader expectations of sector deterioration. What was at stake extended beyond a simple price index—it was a stress test of how systemic risk in a single sector could cascade through economic confidence and policy response.
The authentic data reveals a index sliding from 101.32 to 93.49, a cumulative decline of -7.7% across those three years. The maximum drawdown matched that headline figure, confirming this was not a temporary correction but a sustained contraction. The largest single monthly move of 3.5% punctuated the downturn, serving as a reminder that even measured percentage losses can contain sharp internal spikes that challenge position management. Six decision points were embedded in this historical sequence, two of them flagged as critical moments where directional conviction would be most severely tested.
For decision trainees, this replay offers a structured environment to practice calibrating conviction under structural uncertainty. The scenario forces engagement with questions of when deteriorating fundamentals warrant active risk reduction versus when patient positioning becomes the rational response. Confronting the psychology of loss aversion against the reality of a market lacking clear recovery catalysts builds the kind of disciplined process that distinguishes long-term market participants. The two critical decision nodes provide concrete checkpoints for evaluating whether your analytical framework holds under pressure.
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