OMX Copenhagen 20 Uptrend Replay (1992-10-01 to 1994-01-01)
Replay the OMX Copenhagen 20 from October 1992 to January 1994, navigating a dramatic 31.5% drawdown in daily bars. You will step through 7 decision points, three of them critical, and receive an AI coach review of your calls. Simulated capital only, purely educational.
32 daily bars · 7 decision points · 1992-01 to 1994-08 · Stocks
Key facts
This window spans 943 days with a peak-to-trough drawdown of 31.5% and a 61.6% run-up.
- Max drawdown
- −31.5%
- Max run-up
- +61.6%
- Duration
- 943 days
- Largest single-day move
- +12.6%
- Bars
- 32 Daily bars
- Decision points
- 7
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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- OMX Helsinki Uptrend Replay (1993-01-22 to 1993-05-07)1992 · Lv.3
- ADX Uptrend Replay (1992-11-12 to 1993-01-11)1992 · Lv.4
- TA-35 Uptrend Replay (1992-11-09 to 1993-01-19)1992 · Lv.4
- S&P/BMV IPC Uptrend Replay (1992-09-25 to 1993-01-06)1992 · Lv.2
Event Replay
What happened — and what it teaches
The OMX Copenhagen 20 index stood at the crossroads of Nordic commerce and international capital markets in the early 1990s. Denmark's economy was navigating a period of European integration and economic transition, with the Scandinavian financial sector displaying characteristics distinct from its continental peers. The scenario window from October 1992 to January 1994 captures a volatile chapter in this market's history. Participants face 32 daily bars of authentic historical data, with seven decision points—three flagged as critical—requiring judgment calls amid shifting conditions. This is a simulated educational exercise using historical data only.
Against this backdrop, the index moved from 104.66 to 96.68, delivering a net loss of 7.6% over the full period. Yet the aggregate figure masks the severity of the journey: a maximum drawdown of 31.5% underscores the depth of interim losses, while the largest single-bar move of 12.6% illustrates the extreme daily volatility that characterized these sessions. The discrepancy between headline return and intra-period experience reveals why historical context matters—the final number rarely tells the whole story of what traders endured.
The scenario's true educational value lies in confronting the psychological dimension of risk management. Navigating a 31.5% drawdown tests whether participants can distinguish between analytical errors and emotional reactions. A 12.6% single-day decline challenges conviction, while the net loss despite volatility tests whether one's process can sustain performance through extended uncertainty. This replay demonstrates that managing uncertainty is not about forecasting outcomes but about maintaining disciplined decision-making when the path forward remains genuinely unclear.