China National (Real Estate Climate Index, 1998+) Historical Replay: 2019-04 to 2021-09
Replay 30 monthly bars of China's national real-estate climate index from April 2019 to September 2021, capturing a peak-to-trough drawdown of 3.8%. You walk through each bar, navigate 6 decision points including 2 critical ones, and receive an AI coach review of your choices on simulated capital.
30 monthly bars · 6 decision points · 2019-04 to 2021-09 · Property
Key facts
Peak-to-trough drawdown of 3.8% with a 4.1% run-up.
- Max drawdown
- −3.8%
- 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 national real estate climate index tracked China's sprawling property sector across a critical transition period from April 2019 to September 2021, spanning 30 monthly bars across the 2010s and 2020s. This era saw Beijing navigating a delicate balance—supporting an economy still heavily reliant on property while implementing targeted regulatory tightening. Participants in this replay faced the challenge of reading policy signals in a market where sentiment could shift rapidly.
The index closed the period at 100.7, down 0.4% from the opening 101.14, with a maximum drawdown of 3.8% and the largest single monthly move reaching 2.9%. Despite this seemingly flat net result, the journey mattered enormously—participants who mistimed entries during the drawdown phase suffered real capital impairment, while those who held through volatility without adapting positions missed recovery opportunities. The 6 decision points embedded in this replay forced learners to confront both the policy-driven nature of property markets and the psychological difficulty of staying rational when headlines dominate.
This replay teaches that flat-looking returns can hide complex risk narratives. The 3.8% maximum drawdown may seem modest, yet it arrived within just 30 bars, signaling that even gradual market shifts demand active risk management. The 2.9% single-bar swing reminds us that monthly data compresses volatility—real-time decision making requires extrapolating from incomplete information. For training purposes, the two critical decision points illustrate how a handful of choices disproportionately shape outcomes, reinforcing the value of process over prediction in markets where policy uncertainty is the primary driver.