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China National (Real Estate Climate Index, 1998+) Historical Replay: 2001-04 to 2003-09

PropertyNational IndexCNPolicy2001-04 to 2003-09Difficulty 1/5FreeView charts

Replay 30 monthly bars of China's national real-estate climate index from April 2001 to September 2003, capturing a peak-to-trough drawdown of 3.1%. Walk through each decision point, weigh policy signals, and receive an AI coach review of your simulated choices.

30K lines
6Decision points
1Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 2001-04 to 2003-09 · Property

Key facts

Peak-to-trough drawdown of 3.1% with a 5.4% run-up.

Max drawdown
−3.1%
Max run-up
+5.4%
Largest single-month move
+4.5%
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 scenario places you in front of China's national real estate climate index spanning April 2001 to September 2003, covering 30 monthly trading bars. This was a formative period following the 1998 housing commercialization reform, when policymakers were calibrating the pace of market development. Six decision points are embedded in the replay, two flagged as critical moments where directional conviction was most tested.

The index closed the period at 106.65, barely shifted from its 106.88 opening—a net decline of just 0.2%. Yet this benign headline figure obscures a more turbulent underlying story: the largest single-bar move reached 4.5%, and the maximum drawdown touched 3.1%. For a participant navigating these bars, the challenge was not spotting a dramatic crash but reading subtle policy signals through modest price swings and avoiding overreaction to temporary spikes.

This replay sharpens three core skills. First, process discipline: waiting for confirmed signals rather than acting on noise, especially when policy announcements create volatility spikes of 4.5%. Second, risk calibration: a 3.1% drawdown tests whether position sizing and stop-loss discipline hold under pressure. Third, psychological resilience: the index's flat performance rewards those who resist the urge to overtrade in quiet markets. The educational value lies not in predicting direction but in building the habits that survive any market environment.