Health Care Sel SPDR Uptrend Replay (2007-07-27 to 2007-12-10)
Replay 150 daily bars of the Health Care SPDR from June 2007 through January 2008, watching the uptrend finish down 3.3% after a 6.7% drawdown. Step through each session, make decisions at 11 checkpoints, and receive an AI coach review on your market replay choices.
150 daily bars · 11 decision points · 2007-06 to 2008-01 · Stocks
Key facts
This window spans 214 days with a peak-to-trough drawdown of 6.7% and a 9.6% run-up.
- Max drawdown
- −6.7%
- Max run-up
- +9.6%
- Duration
- 214 days
- Largest single-day move
- −2.4%
- 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.
Related scenarios
- Health Care Sel SPDR Uptrend Replay (2007-03-13 to 2007-05-07)2007 · Lv.2
- Health Care Sel SPDR Uptrend Replay (2006-06-27 to 2007-02-15)2006 · Lv.2
- Health Care Sel SPDR Uptrend Replay (2008-12-01 to 2009-01-02)2008 · Lv.2
- Health Care Sel SPDR Uptrend Replay (2005-10-27 to 2006-02-27)2005 · Lv.1
- Health Care Sel SPDR Uptrend Replay (2010-07-01 to 2010-08-10)2010 · Lv.1
- Health Care Sel SPDR Uptrend Replay (2011-11-25 to 2012-04-02)2011 · Lv.2
Event Replay
What happened — and what it teaches
The Health Care Select Sector SPDR (XLV) offers a compelling window into late-cycle market dynamics. Replaying 150 daily bars from June 2007 through January 2008 places participants inside an era when the credit storm was still gathering, yet the sector appeared defensive and resilient. This scenario tasks learners with navigating an apparent uptrend that ultimately delivered a modest loss, forcing them to confront the gap between surface stability and underlying vulnerability.
The replay unfolds across the full data span, with prices drifting from 35.86 to 34.67, a net decline of -3.3%. However, the journey proved more turbulent than the endpoint suggests. The maximum drawdown reached 6.7%, while the largest single-bar move hit 2.4%. Across 11 decision checkpoints—4 deemed critical—participants must time entries, manage exposure, and respond to shifting momentum in a market that offered no clean exit.
This scenario sharpens decision-making under ambiguity. Participants learn that apparent trends can conceal structural weakness, that drawdowns are inevitable even in defensive sectors, and that position sizing determines survival more than direction. The psychological dimension is equally demanding: holding through volatility or cutting losses prematurely both carry consequences. By replaying these sessions, learners internalize the discipline required to navigate markets where the obvious move proves wrong more often than not.