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Beijing, China Historical Replay: 2019-12 to 2022-05

PropertyCity IndexCNBoom2019-12 to 2022-05Difficulty 5/5FreeView charts

Replay thirty monthly bars from China Beijing property market, December 2019 to May 2022, and watch the close slide from 186 to 109.7. Step through six decision points as historical conditions unfold, then review each move with the AI coach in a simulated, education-only environment.

30K lines
6Decision points
5Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2019-12 to 2022-05 · Property

Key facts

Peak-to-trough drawdown of 46.5% with a 7.8% run-up.

Max drawdown
−46.5%
Max run-up
+7.8%
Largest single-month move
−46.5%
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 Beijing residential property market entered a period of profound transformation as the decade turned. Between December 2019 and May 2022, thirty monthly bars trace the journey of China's capital city housing index from a reading of 186 through one of its most challenging chapters. Policy tightening, shifting buyer sentiment, and the lingering effects of the pandemic created a complex backdrop where every decision carried significant weight for investors and policymakers alike.

The numbers tell a stark story: over the thirty-month span, the index retreated from 186 to 109.7, representing a decline of 41.0 percent. The maximum drawdown reached 46.5 percent, with a single monthly bar accounting for the largest move of that magnitude. Six decision points punctuated the trajectory, including two critical junctures where strategic choices could have meaningfully altered outcomes. The market's path was neither smooth nor predictable, demanding constant reassessment of positions and assumptions.

For decision trainers, this replay offers a laboratory for examining how cognitive biases interact with market stress. The extended downturn tests one's commitment to process over outcome, while the sharp single-bar moves challenge emotional regulation under pressure. Studying how other participants navigate the six inflection points, particularly the two critical decisions, reveals the gap between theoretical knowledge and adaptive execution in volatile property markets.