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Phoenix Historical Replay: 1996-03 to 1998-08

PropertyCity IndexUSBoom1996-03 to 1998-08Difficulty 2/5FreeView charts

Replay 30 monthly bars of Phoenix property history from 1996-03 to 1998-08, watching the index climb from 79.93 to 90.54. Work through six decision points day by day in a simulated environment, then receive an AI coach review of your choices.

30K lines
6Decision points
2Difficulty
monthlyGranularity

30 monthly bars · 6 decision points · 1996-03 to 1998-08 · Property

Key facts

Max run-up
+13.3%
Largest single-month move
+0.9%
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

This replay transports you to Phoenix during the 1990s property boom, specifically from March 1996 to August 1998. Thirty monthly bars document the index steady from 79.93 toward 90.54. The market had been climbing for months, and participants face six decision points—two marked as critical—requiring them to commit capital or stand aside in a simulated environment where only historical hindsight reveals the outcome. The challenge is to act without knowing whether each bar would confirm or reverse the trend.

The period delivered a total return of 13.3% with a max drawdown of 0.0%, the latter a testament to the absence of meaningful pullbacks. The largest single-bar move reached just 0.9%, reflecting a low-volatility ascent that rewarded patience and punished impulse. There were no dramatic crashes or euphoric spikes—only a consistent grind upward through thirty bars. The question for participants is how they would have behaved when every entry felt safe and every exit seemed premature in hindsight.

The scenario trains three core skills. First, process discipline: with virtually no drawdown, the temptation to overtrade or concentrate positions grows, yet the historical record shows that doing so in low-volatility environments often introduces uncompensated risk. Second, risk calibration: a 0.9% largest move means that position sizing assumptions rooted in volatile markets would be wildly inappropriate here. Third, psychological humility: the ability to enter and exit without second-guessing a 13.3% advance that looked obvious only in hindsight separates skilled decision-makers from those who confuse prediction with analysis.