China National (Real Estate Climate Index, 1998+) Historical Replay: 1998-01 to 2000-06
Replay China's national housing prosperity index from 1998 with a 30-month dataset showing a 3.8% max drawdown. Step through each historic month, navigate six decision points, and receive an AI coach review of your simulated policy-era choices.
30 monthly bars · 6 decision points · 1998-01 to 2000-06 · Property
Key facts
Peak-to-trough drawdown of 3.8% with a 6.4% run-up.
- Max drawdown
- −3.8%
- Max run-up
- +6.4%
- Largest single-month move
- +1.8%
- 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 January 1998, China stood at the threshold of a transformative policy shift. The State Council's housing commercialization reform was about to reshape the world's most populous nation's relationship with property ownership. The National Housing Prosperity Index, tracking this structural transition across 30 monthly observations, captures a market learning to price policy-driven change during the 1990s and early 2000s. With six decision points embedded in the replay, participants navigate the uncertainty of a sector pivoting from welfare allocation to market mechanisms.
The index moved from 98.6 to 102.69 over the 30-month span, a gain of 4.1%. The journey was not smooth: a maximum drawdown of 3.8% tested risk tolerance, while the largest single monthly move of 1.8% reminded traders that policy signals can spike volatility without sustained trend. For a market undergoing fundamental restructuring, these numbers reflect measured appreciation earned through patience rather than momentum.
This replay trains participants to manage positions in environments where policy uncertainty dominates price discovery. The modest absolute moves and shallow drawdown offer a controlled laboratory for practicing discipline: sticking to process during quiet periods and resisting overreaction to single-bar spikes. The six decision points, two marked critical, demand that learners articulate their thesis before each turn and face the consequences of timing errors in a historically grounded context.
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