Crash · Nikkei 225 Index (2008)
Replay the Nikkei 225's brutal 50.6% drawdown from May to December 2008 across 144 daily bars. Walk decision-by-decision through the volatility surge with an AI coach reviewing every choice you make in simulated capital only.
144 daily bars · 25 decision points · 2008-05 to 2008-12 · Stocks
Key facts
This window spans 207 days with a peak-to-trough drawdown of 50.6% and a 32.9% run-up.
- Max drawdown
- −50.6%
- Max run-up
- +32.9%
- Duration
- 207 days
- Largest single-day move
- +14.2%
- 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.
Related scenarios
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- Boom · Nikkei 225 Index (2009)2009 · Lv.2
- Collapse · Nikkei 225 Index (2007)2007 · Lv.2
Event Replay
What happened — and what it teaches
In May 2008, the Nikkei 225 traded near 13,743 as the world economy teetered on the edge of a systemic credit crisis. Over the following months, Lehman Brothers collapsed, interbank lending froze, and risk aversion swept across global markets. Japanese equities were caught in a powerful downdraft as export earnings collapsed and corporate earnings forecasts deteriorated sharply.
By December 5, the index had fallen to 7,917.51, a loss of 42.4% from the May 12 starting level. The maximum drawdown reached 50.6%, with the largest single daily swing hitting 14.2%. Across the 144 trading days spanning May to December 2008, participants confront 25 decision points, 9 of which represent critical inflection moments.
This replay exposes how rapidly a trending market can reverse under liquidity stress. Participants must practice position sizing that accounts for fat-tail events, maintain discipline when volatility surges beyond historical norms, and resist the psychological trap of averaging down into a falling knife. The scenario strips away speculation to its essential test: can you make sound decisions when fear dominates price action and conventional valuation metrics no longer anchor expectations?
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