Collapse · Shanghai Composite Index (2016)
Shanghai Composite index fell 19.5% across 142 daily bars from August 2015 to March 2016, with a 30.0% max drawdown during China’s circuit-breaker era. Replay the collapse day by day, face 25 decision points, and receive an AI coach review in this simulated educational scenario.
142 daily bars · 25 decision points · 2015-08 to 2016-03 · Stocks
Key facts
This window spans 216 days with a peak-to-trough drawdown of 30.0% and a 24.7% run-up.
- Max drawdown
- −30.0%
- Max run-up
- +24.7%
- Duration
- 216 days
- Largest single-day move
- −8.5%
- Bars
- 142 Daily bars
- Decision points
- 25
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 summer of 2015, China's stock market was still reeling from the extraordinary summer crash. The Shanghai Composite Index, having lost roughly half its value from its June peak, entered a fragile stabilization phase. The period from August 2015 to March 2016, spanning 142 trading days, would test the resilience of investors and policymakers alike. The introduction of the circuit-breaker mechanism during this window added a new layer of policy-driven volatility to an already wounded market.
Over these 142 trading days, the index closed at 3748.16 and ultimately settled at 3018.8, representing a decline of 19.5%. However, the headline number obscures the true severity of the journey. The maximum drawdown reached 30.0%, with single sessions moving as much as 8.5%. Participants faced 25 decision points, of which 9 were deemed critical, demanding repeated evaluation of positions under extreme pressure.
This episode teaches that process discipline matters more than prediction. The circuit-breaker era illustrated how policy mechanisms intended to calm markets can amplify panic through magnetic effects, as traders rush to exit before thresholds trigger. For decision training, the scenario emphasizes position sizing before volatility spikes, pre-commitment to stop-loss levels, and awareness of crowding risk when everyone reacts to the same signals. Understanding behavioral biases—herding, recency bias, loss aversion—becomes essential when markets move on policy uncertainty rather than fundamentals alone.