War · KOSPI Index (2010)
Replay 144 daily KOSPI bars spanning the Yeonpyeong shock and its aftermath, watching the index climb from 1758.01 to 2045.58. Make your own calls at 25 decision points, including 9 critical ones, then review your choices with an AI coach in this simulated training replay.
144 daily bars · 25 decision points · 2010-07 to 2011-02 · Stocks
Key facts
This window spans 210 days with a peak-to-trough drawdown of 3.8% and a 22.9% run-up.
- Max drawdown
- −3.8%
- Max run-up
- +22.9%
- Duration
- 210 days
- Largest single-day move
- −2.7%
- 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
The Korean market entered a turbulent stretch as geopolitical tensions flared on the Korean Peninsula. This replay spans 144 daily trading sessions from July 2010 to February 2011, recreating the period surrounding the Yeonpyeong Island artillery exchange. Participants face a live market simulation where simulated capital is at stake, and every decision point tests their ability to process rapidly shifting signals under uncertainty.
Over the full replay window, the KOSPI climbed from 1758.01 to 2045.58, a total return of 16.4%. The journey was not smooth: the index experienced a maximum drawdown of 3.8% and its largest single-session move reached 2.7%. Traders navigated 25 decision points across the period, with 9 flagged as critical junctions where positioning and risk management had outsized consequences for outcomes.
This replay sharpens the ability to trade through geopolitical crises by confronting participants with the emotional and procedural challenges that characterize such periods. The gap between a disciplined risk framework and reactive decision-making becomes tangible when headlines are loud and volatility spikes are real. Reviewing your choices with the AI coach afterward reveals which mental models held and which failed under pressure, building the kind of pattern recognition that transfers to future uncertainty.
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