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Norway National (BIS) Historical Replay: 1979-10 to 1987-01

PropertyNational IndexNOBoom1979-10 to 1987-01Difficulty 5/5FreeView charts

Replay 30 monthly bars of Norway's national property boom from October 1979 to January 1987, capturing a 71.4% climb. You make decisions across six points, face volatility up to 7.3%, and receive an AI coach review of your simulated choices.

30K lines
6Decision points
5Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 1979-10 to 1987-01 · Property

Key facts

Peak-to-trough drawdown of 5.8% with a 80.9% run-up.

Max drawdown
−5.8%
Max run-up
+80.9%
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

How to play
  1. The market advances day by day. You only see candles up to the current day — as if you were really there.

  2. At key decision points choose Buy / Trim / Exit / Hold. Each decision advances the timeline by one day.

  3. 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

Norway's national property market entered an ambitious growth phase in October 1979, beginning a replay that would stretch across the final months of the 1970s and most of the 1980s. Over 30 monthly bars, participants confront the particular pressures of a sustained boom: the pull of rising prices, the fear of missing out, and the uncertainty about when momentum might exhaust itself. Six decision points punctuate the replay, two of them marked as critical, demanding participants articulate their reasoning under real historical conditions.

The numbers tell a story of substantial but uneven progress. Prices climbed from 34.68 to 59.43, a gain of 71.4% that rewards patient participation in the uptrend. Yet the journey was far from smooth. The maximum drawdown of 5.8% tested those who entered at unfortunate moments, while the largest single monthly move of 7.3% introduced sudden reversals that could unsettle even disciplined participants. Volatility of this magnitude demands constant reassessment of position sizing and conviction.

This replay sharpens three core skills for decision training. First, it forces participants to confront the psychological temptation to overweight recent performance in a booming market. Second, it reveals how even modest drawdowns require clear criteria for holding versus reducing exposure. Third, the two critical decision points isolate moments where process matters more than outcome, teaching participants to evaluate their reasoning separately from whether their trades worked. The goal is not to maximize returns in a simulation but to build replicable habits that transfer to live environments.