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Beijing, China Historical Replay: 2021-04 to 2023-09

PropertyCity IndexCNCollapse2021-04 to 2023-09Difficulty 2/5FreeView charts

Replay 30 monthly bars from April 2021 through September 2023 across China's property collapse, a 11.7% decline with just a 0.2% drawdown. Step through each authentic decision point and receive an AI coach review of your simulated choices.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2021-04 to 2023-09 · Property

Key facts

Peak-to-trough drawdown of 0.2% with a 11.7% run-up.

Max drawdown
−0.2%
Max run-up
+11.7%
Largest single-month move
+1.0%
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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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 immerses you in China’s property sector across 30 monthly bars from April 2021 through September 2023, a period when the long-cycle downturn that began with the Evergrande default reshaped one of the world’s largest asset classes. You step into decision points embedded in authentic price action, confronting the slow-burn uncertainty that defined this era for property markets, city-level indices, and the investors who tracked them.

The index moved from 103.3 to 115.43 over the full span, reflecting an 11.7% cumulative change. Notably, the maximum drawdown measured just 0.2% while the largest single monthly candle registered only 1.0%, suggesting a market that compressed volatility even as directional pressure persisted. Six decision points are embedded in the replay—two flagged as critical—testing your ability to navigate a grinding, low-volatility decline rather than a sharp crash.

The scenario trains you to manage risk when drawdowns are shallow and candles are small, because apparent calm can mask underlying structural pressure. You practice holding process discipline across a prolonged directional move, calibrating position sizing when momentum is muted, and controlling the psychological temptation to dismiss a slow bleed as noise. This is decision training for environments where patience and systematic thinking matter more than reaction speed.