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Beijing, China Historical Replay: 2017-12 to 2020-05

PropertyCity IndexCNBubble2017-12 to 2020-05Difficulty 2/5FreeView charts

Replay 30 monthly bars of China Beijing property from 2017-12 to 2020-05, where prices moved 7.8% with a mild 0.3% drawdown. Step through each bar, face 6 decision points including 2 critical ones, and receive an AI coach review in this simulated educational training environment.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2017-12 to 2020-05 · Property

Key facts

Peak-to-trough drawdown of 0.3% with a 7.9% run-up.

Max drawdown
−0.3%
Max run-up
+7.9%
Largest single-month move
+1.7%
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 China Beijing property market replay covers 30 monthly bars from 2017-12 to 2020-05, spanning the late 2010s into the early 2020s. This period followed the dramatic 2015 leveraged bull market, placing participants in a post-boom environment where the market had normalized. The scenario presents 6 decision points, including 2 critical ones, testing how traders navigate an apparently steady market after a major speculative episode.

Over the 30 months, prices advanced from 173.14 to 186.56, a cumulative gain of 7.8%. The market exhibited striking calm: maximum drawdown was just 0.3% and the largest single monthly swing reached only 1.7%. These numbers reveal a low-volatility, range-bound environment where directional momentum was subdued and downside risk was minimal.

For decision training, this scenario sharpens three skills. First, risk calibration: with such a tight 0.3% drawdown ceiling, participants must learn when protective action is warranted versus when patience serves better. Second, process discipline: in the absence of dramatic moves, adhering to a pre-defined strategy becomes the primary differentiator. Third, psychological resilience: facing 2 critical decision points without the adrenaline of large swings trains composure and deliberate judgment over reactive impulse.