War · Shanghai Composite Index (2011)
From November 2010 to June 2011, the Shanghai Composite Index slid from 3135 to 2700.38, a 13.9% decline shaped by the Libya conflict. Replay each of the 144 daily bars, navigate 9 critical decision points, and receive an AI coach review of your historical market-replay choices in this educational simulation.
144 daily bars · 25 decision points · 2010-11 to 2011-06 · Stocks
Key facts
This window spans 216 days with a peak-to-trough drawdown of 14.9% and a 14.2% run-up.
- Max drawdown
- −14.9%
- Max run-up
- +14.2%
- Duration
- 216 days
- Largest single-day move
- −5.2%
- Bars
- 144 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 autumn of 2010, the Shanghai Composite Index hovered near 3135, a level that masked growing unease in global markets. From November 2010 through June 2011, a confluence of domestic tightening policies and escalating geopolitical risk—particularly the Libyan civil war—created a volatile backdrop for Chinese equities. This 144-day replay places traders inside one of the decade's more challenging stretches, where external conflict and internal policy shifts collided to test even seasoned participants.
The index ultimately settled at 2700.38, a decline of 13.9% from the starting point. Throughout this period, the market experienced a maximum drawdown of 14.9%, with the largest single-day swing reaching 5.2%. Navigating this terrain required confronting 25 decision points—9 deemed critical moments where directional conviction and risk management were simultaneously tested. The scenario captures not merely a directional move but the texture of uncertainty that defined those months.
For decision-training purposes, this replay illustrates how geopolitical events can amplify volatility beyond what fundamentals alone would suggest. Participants learn to distinguish between trend and noise, manage exposure through drawdowns, and avoid reactive decisions driven by headlines. The critical decision points train calibration under pressure—whether to cut losses, add positions, or stand aside—building the psychological discipline essential for navigating similarly complex environments.