Health Care Sel SPDR Uptrend Replay (1998-12-22 to 1999-04-12)
Replay a 16.5% uptrend across 150 daily bars in a healthcare sector ETF, navigating 11 decision points including 4 critical ones. Step through each session, make your calls, and receive an AI coach review of your simulated judgment under authentic historical market conditions.
150 daily bars · 11 decision points · 1998-12 to 1999-07 · Stocks
Key facts
This window spans 218 days with a peak-to-trough drawdown of 8.2% and a 21.4% run-up.
- Max drawdown
- −8.2%
- Max run-up
- +21.4%
- Duration
- 218 days
- Largest single-day move
- −3.5%
- Bars
- 150 Daily bars
- Decision points
- 11
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
In the late 1990s, the Health Care Select SPDR ETF represented a defensive stronghold within an increasingly tech-driven market. This replay covers 150 daily bars from December 22, 1998 to July 28, 1999, a period when sector rotations tested every investor's conviction. With 11 decision points embedded across the timeline—4 marked as critical—the scenario demands disciplined engagement through a sustained advance. The stage was set for participants to prove whether they could hold course during a 16.5% uptrend while managing real market turbulence.
The closing price ascended from $25.03 to $29.16, delivering a 16.5% return over the span. Yet this aggregate figure obscures the journey's difficulty: an 8.2% maximum drawdown challenged conviction at various intervals, and the largest single-day swing of 3.5% forced split-second risk recalculations. Those who treated each session as a fresh analytical problem—rather than assuming continuity—were better positioned to navigate the volatility without abandoning sound process.
For decision-training purposes, this replay excels at testing two vital competencies. First, position management during pullbacks separates disciplined practitioners from impulse-driven ones. Second, the critical decision nodes reveal how anchoring bias or recency bias can distort judgment across consecutive sessions. Practicing under authentic historical conditions, with no real capital at stake, allows learners to observe their psychological patterns and refine their approach before facing live markets.