China National (Real Estate Climate Index, 1998+) Historical Replay: 2015-12 to 2018-08
Replay China's national property index from December 2015 to August 2018, watching it climb 9.3% across 30 monthly bars. Step through each decision point in this simulated historical scenario and receive an AI coach review of your choices.
30 monthly bars · 6 decision points · 2015-12 to 2018-08 · Property
Key facts
Peak-to-trough drawdown of 0.6% with a 9.3% run-up.
- Max drawdown
- −0.6%
- Max run-up
- +9.3%
- Largest single-month move
- +6.3%
- 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 places you inside China's national property sentiment index during a quiet but consequential stretch of the 2010s. From December 2015 through August 2018, this 30-bar monthly canvas captures the sector's steady grind as the market digested post-boom conditions. Six decision points punctuate the scenario—two marked as critical—inviting you to weigh entries, exits, and position adjustments across a market that offered no dramatic crashes but demanded disciplined navigation. The bubble classification in the title signals that even subdued environments carry latent risk.
Over the 30-month span, the index rose from 93.34 to 102.03, translating to a cumulative 9.3% return—modest by equity standards but meaningful for a sector benchmark. The ride was anything but smooth: a maximum drawdown of just 0.6% reveals how tightly compressed volatility remained, while the largest single-bar move of 6.3% reminds participants that compressed ranges can still deliver sharp intrabar shocks. Anyone expecting dramatic drawdowns in this window would have been proven wrong; the challenge lay in extracting gains from a market that rewarded patience over aggression.
This scenario excels as a decision-training laboratory for three reasons. First, the 6.3% single-bar spike tests whether you have pre-defined rules for absorbing volatility without abandoning a sound process. Second, the 0.6% maximum drawdown shows that low-volatility environments can erode conviction if expectations are calibrated for drama. Third, with two critical decision points embedded in the sequence, the replay forces you to confront the asymmetry between market noise and genuine inflection moments—a distinction that separates disciplined practitioners from reactive traders.
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