China National (Real Estate Climate Index, 1998+) Historical Replay: 2017-03 to 2019-09
Replay 30 monthly bars of China's national property index from March 2017 to September 2019, a period when the close barely moved at 0.1% yet concealed a 1.4% drawdown. Walk through each decision point and get an AI coach review of your simulated training choices.
30 monthly bars · 6 decision points · 2017-03 to 2019-09 · Property
Key facts
Peak-to-trough drawdown of 1.4% with a 0.9% run-up.
- Max drawdown
- −1.4%
- Max run-up
- +0.9%
- Largest single-month move
- −1.3%
- 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
In the first quarter of 2017, China's national property index entered a peculiar phase. Over the next 30 monthly bars, extending through September 2019, market participants faced what appeared to be a holding pattern—a period where directional conviction seemed pointless and momentum signals offered little guidance. Yet beneath this surface calm lay a training ground for disciplined risk management in the most challenging environment: the range-bound market where patience is tested and false breakouts abound.
The headline statistics reveal why this era demands study. The index closed at 101.12 in March 2017 and eked out a 0.1% gain to reach 101.23 by September 2019—a cumulative move that would frustrate trend-followers. The maximum drawdown of 1.4% and largest single-bar movement of 1.3% tell a different story: volatility did emerge, but briefly and unpredictably. Six decision points materialized across the period, with two marked as critical moments requiring careful analysis. These inflection points tested whether participants could distinguish genuine shifts from noise.
This replay scenario hones three essential skills. First, it forces confrontation with the psychological strain of managing positions in unprofitable stretches without abandoning process. Second, it demands rigorous risk calibration—sizing positions so that a 1.4% drawdown remains acceptable rather than triggering premature exits. Third, it teaches selective engagement: identifying which of the six decision points warranted action and which demanded restraint. Completing this replay builds the mental toughness required when markets offer no easy answers, preparing traders for the reality that not every period provides obvious opportunities.
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