Beijing, China Historical Replay: 2022-04 to 2024-09
Walk through 30 monthly bars covering the April 2022 to September 2024 China property collapse, with a 4.7% max drawdown shaping each decision. Replay day-by-day, face six decision points, and receive an AI coach review in this simulated training environment.
30 monthly bars · 6 decision points · 2022-04 to 2024-09 · Property
Key facts
Peak-to-trough drawdown of 4.7% with a 5.6% run-up.
- Max drawdown
- −4.7%
- Max run-up
- +5.6%
- Largest single-month move
- −1.1%
- 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 China property market replay spans April 2022 to September 2024, covering the long-cycle downturn that reshaped one of the world's largest real estate sectors. Over 30 monthly bars, participants confront a market navigating systemic uncertainty, where six decision points punctuate the scenario, two of them marked as critical. The simulation immerses learners in the 2020s era, asking them to respond to evolving conditions without the benefit of hindsight.
The price barely moved across the full period, closing at 110 from an opening of 109.3, a nominal 0.6% gain. Yet this flat headline figure conceals meaningful turbulence beneath the surface. The maximum drawdown reached 4.7%, and the largest single monthly bar registered a 1.1% swing. These figures illustrate how apparent stability can coexist with recurring stress, challenging participants to look beyond surface-level returns.
This replay teaches that process matters more than outcome in a historical simulation where the ending is already known. Participants practice calibrating risk exposure against a defined drawdown ceiling, managing positions through intermittent volatility spikes, and resisting the psychological temptation to anchor on the final flat result rather than the turbulent path. The two critical decision points become case studies in judgment under uncertainty, reinforcing habits that transfer to live markets where the outcome remains genuinely unknown.