China National (Real Estate Climate Index, 1998+) Historical Replay: 2018-04 to 2020-09
Replay China's national property climate index across 30 monthly bars from April 2018 to September 2020, capturing a 4.5% drawdown amid tightening regulation. Step into 6 decision points day by day, navigate volatility, and receive an AI coach review in this simulated educational scenario.
30 monthly bars · 6 decision points · 2018-04 to 2020-09 · Property
Key facts
Peak-to-trough drawdown of 4.5% with a 3.1% run-up.
- Max drawdown
- −4.5%
- Max run-up
- +3.1%
- 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 scene places you inside China's national property climate index spanning 30 monthly bars from April 2018 to September 2020, a period when regulatory tightening reshaped market expectations across the sector. This was a landscape where policy signals could shift sentiment overnight, making it a crucible for decision-makers navigating uncertainty across the 2010s and 2020s.
Over these 30 months the index moved from 101.39 to 100.47, a modest decline of -0.9%, yet the journey was far from smooth. A maximum drawdown of 4.5% tested portfolio resilience, while the largest single monthly swing of 2.9% created moments of sharp uncertainty. Six decision points were embedded in the replay, with two marked as critical turning points where positioning could have significantly altered outcomes.
This scenario excels as a training ground because it strips away dramatic narratives and forces focus on disciplined process. The 4.5% drawdown illustrates how policy-driven volatility demands strict position sizing and clear exit rules. The 2.9% single-bar moves remind us that regulatory news can create sudden sentiment shifts, requiring emotional composure to avoid panic or greed. The real skill here is psychological resilience: maintaining conviction when headlines suggest decline yet prices stabilize, and staying grounded when apparent stability masks underlying pressure. This replay teaches that survival in volatile regulatory environments depends not on predicting outcomes but on building robust decision frameworks that weather uncertainty.
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