Norway National (BIS) Historical Replay: 1984-07 to 1991-10
Replay Norway's 1984-07 to 1991-10 property crash, where prices fell 14.9% with a brutal 37.6% drawdown. Walk through each monthly bar, face 6 decision points, and receive an AI coach review of your simulated choices.
30 monthly bars · 6 decision points · 1984-07 to 1991-10 · Property
Key facts
Peak-to-trough drawdown of 37.6% with a 42.0% run-up.
- Max drawdown
- −37.6%
- Max run-up
- +42.0%
- Largest single-month move
- +7.3%
- Bars
- 30 Monthly bars
- Decision points
- 6
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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Event Replay
What happened — and what it teaches
The scenario immerses you in Norway's national property market during the late 1980s and early 1990s, a period of significant economic transition as the country adjusted from oil-fueled expansion. The market had sustained elevated valuations for years, and participants faced mounting uncertainty about sustainability. This historical replay asks you to navigate 30 monthly bars from July 1984 to October 1991, confronting 6 decision points—2 of them critical—while managing exposure through what would prove to be a devastating crash. The stakes are capital preservation against the psychological pull of hoping conditions would reverse.
The numbers tell a brutal story. Over the data span, prices declined from 43.7 to 37.2, a total loss of 14.9%. Yet that aggregate figure masks the true violence of the move: a maximum drawdown of 37.6% tested anyone holding positions through the downturn. Volatility was relentless, with a largest single-bar move of 7.3%—moments when panic or euphoria could easily override rational process. This was not a orderly retreat but a grinding, volatile descent where false recoveries tempted entry and fresh lows shattered resolve.
For decision training, the scenario exposes three persistent challenges. First, the process problem: identifying when a correction becomes a structural break requires disciplined review of evidence rather than narrative. Second, the risk problem: a 37.6% drawdown demands sizing decisions made in advance, not adjusted mid-crash. Third, the psychology problem: 7.3% single-bar moves test whether you act from a pre-committed framework or react to recent price action. This replay does not promise profitable outcomes—it offers practice recognizing the difference between bad luck and bad process.